diff --git a/.github/actions/upload-dated-artifact/action.yaml b/.github/actions/upload-dated-artifact/action.yaml deleted file mode 100644 index 7fc3fbe..0000000 --- a/.github/actions/upload-dated-artifact/action.yaml +++ /dev/null @@ -1,26 +0,0 @@ -name: Upload dated artifact -description: Uploads an artifact with a datetime - -inputs: - name: - description: The name of the artifact - required: true - path: - description: The path to the file/folder to upload - required: true - -runs: - using: composite - steps: - # https://stackoverflow.com/questions/60942067/get-current-date-and-time-in-github-workflows - - name: Get current datetime - id: date - shell: bash - run: echo "::set-output name=date::$(date '+%Y-%m-%d_%H-%M-%S')" - - - name: Upload artifact - uses: actions/upload-artifact@v3 - with: - name: ${{ inputs.name }}_${{ steps.date.outputs.date }} - path: ${{ inputs.path }} - if-no-files-found: error diff --git a/.github/workflows/create-binaries.yaml b/.github/workflows/create-binaries.yaml deleted file mode 100644 index 26572bc..0000000 --- a/.github/workflows/create-binaries.yaml +++ /dev/null @@ -1,87 +0,0 @@ -name: Package using PyInstaller -on: - push: - tags: - - v** - workflow_dispatch: - -jobs: - build-windows: - env: - dist-path: dist/OpenSeeFace - runs-on: windows-latest - steps: - - name: Pull OpenSeeFace - uses: actions/checkout@v3 - - - name: Create binary - shell: cmd - run: | - choco install vcredist140 - - xcopy c:\Windows\System32\msvcp140.dll . - xcopy c:\Windows\System32\vcomp140.dll . - xcopy c:\Windows\System32\concrt140.dll . - xcopy c:\Windows\System32\vccorlib140.dll . - - make_exe.bat - - - name: Move files for uploading - shell: bash - run: | - # Prevents the parent dist/ directory from being included - mv dist/facetracker ${{ env.dist-path }} - cp -r models ${{ env.dist-path }} - - - name: Upload artifact - uses: ./.github/actions/upload-dated-artifact - with: - name: windows - path: dist # Add the parent directory to prevent a tarbomb - - # Files must be packed into a tar in order for file permissions to be preserved - build-unix: - env: - artifact-path: OpenSeeFace - tar-path: OpenSeeFace.tar - strategy: - fail-fast: false - matrix: - include: - - name: linux - os: ubuntu-latest - - name: mac - os: macos-latest - runs-on: ${{ matrix.os }} - steps: - - name: Pull OpenSeeFace - uses: actions/checkout@v3 - - - name: Create binary - shell: bash - run: | - chmod +x make_exe.sh - ./make_exe.sh - - - name: Move files for uploading - shell: bash - run: | - # Prevents the parent dist/ directory from being included - mv dist/facetracker ${{ env.artifact-path }} - cp -r models ${{ env.artifact-path }} - - - name: Fix permissions from PyInstaller - shell: bash - run: | - find ${{ env.artifact-path }} -type f -exec chmod -x {} + - chmod +x ${{ env.artifact-path }}/facetracker - - - name: Pack files into tar - shell: bash - run: tar -cvf ${{ env.tar-path }} ${{ env.artifact-path }} - - - name: Upload artifact - uses: ./.github/actions/upload-dated-artifact - with: - name: ${{ matrix.name }} - path: ${{ env.tar-path }} diff --git a/Examples/Animations/JawOpen.anim b/Examples/Animations/JawOpen.anim deleted file mode 100644 index a726786..0000000 --- a/Examples/Animations/JawOpen.anim +++ /dev/null @@ -1,8243 +0,0 @@ -%YAML 1.1 -%TAG !u! tag:unity3d.com,2011: ---- !u!74 &7400000 -AnimationClip: - 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using System; using System.Runtime.InteropServices; using System.Collections.Generic; @@ -14,14 +10,10 @@ using VRM; // No other OVR related components are required. public class OpenSeeVRMDriver : MonoBehaviour { - #if WINDOWS_BUILD #region DllImport [DllImport("user32.dll", SetLastError = true)] static extern ushort GetAsyncKeyState(int vKey); #endregion - #else - static ushort GetAsyncKeyState(int vKey) { return 0; } - #endif [Header("Settings")] [Tooltip("This is the OpenSeeExpression module used for expression prediction.")] @@ -30,20 +22,8 @@ public class OpenSeeVRMDriver : MonoBehaviour { public OpenSeeIKTarget openSeeIKTarget; [Tooltip("This is the target VRM avatar's blend shape proxy.")] public VRMBlendShapeProxy vrmBlendShapeProxy; - [Tooltip("When this is enabled, no blendshapes are set.")] - public bool skipApply = false; - [Tooltip("When this is enabled, no gaze tracking (bone or blendshape) is applied.")] - public bool skipApplyEyes = false; - [Tooltip("When this is enabled, no jaw bone animation is applied.")] - public bool skipApplyJaw = false; - [Tooltip("When this is enabled in addition to skipApply, expressions from hotkeys or expression detection are still applied.")] - public bool stillApplyExpressions = false; - [Tooltip("This factor is multiplied to all blendshape weights relating to camera tracking, as well as gaze and jaw tracking.")] - public float blendShapeWeight = 1f; [Tooltip("This needs to be enabled when tracking with the fast 30 point model.")] public bool only30Points = false; - [Tooltip("When enabled, if a model has perfect sync blendshapes, they will be used for more detailed tracking. (Experimental!)")] - public bool useCameraPerfectSync = false; //[Tooltip("When set to true, expression and audio data will be processed in FixedUpdate, otherwise it will be processed in Update.")] //public bool fixedUpdate = true; [Tooltip("When enabled, the avatar will blink automatically. Otherwise, blinks will be applied according to the face tracking's blink detection, allowing it to wink. Even for tracked eye blinks, the eye blink setting of the current expression is used.")] @@ -68,8 +48,6 @@ public class OpenSeeVRMDriver : MonoBehaviour { public bool linkBlinks = true; [Tooltip("When enabled, it becomes possible to wink even with link blinks enabled.")] public bool allowWinking = false; - [Tooltip("If allowWinking is enabled, if the eye blink values are within this distance, the blink is linked.")] - public float smartWinkThreshold = 0.85f; [Tooltip("When enabled, the avatar's eye will move according to the face tracker's gaze tracking.")] public bool gazeTracking = true; [Tooltip("This is the right eye bone. When either eye bone is not set, the VRM look direction blendshapes are used instead.")] @@ -122,12 +100,6 @@ public class OpenSeeVRMDriver : MonoBehaviour { public bool hybridLipSync = false; [Tooltip("When enabled, viseme size will not depend on the OVR Lip Sync weight.")] public bool maximizeLipSync = false; - [Tooltip("When enabled, mouth blendshapes are normalized if they add up to a value above 1.")] - public bool visemeNormalization = true; - [Tooltip("When enabled and the animator of the avatar has a float parameter called JawMovement, this parameter will be set to values from 0 to 1, corresponding to a closed to open mouth. This can be used for animating jaw bones.")] - public bool animateJawBone = false; - [Tooltip("This should be set to the included mecanim animation, which sets the jaw bone to closed on the first frame and to open on the second frame.")] - public AnimationClip jawBoneAnimation; [Tooltip("This is the mouth tracking smoothing factor, with 0 being no smoothing and 1 being a fixed mouth.")] [Range(0, 1)] public float mouthSmoothing = 0.6f; @@ -142,10 +114,8 @@ public class OpenSeeVRMDriver : MonoBehaviour { public float mouthSquelch = 0.01f; [Tooltip("With this, the squelch threshold above can be disabled.")] public bool mouthUseSquelch = false; - #if WINDOWS_BUILD [Tooltip("This allows you to select the OVRLipSync provider.")] public OVRLipSync.ContextProviders provider = OVRLipSync.ContextProviders.Enhanced; - #endif [Tooltip("When enabled, audio will be read from the given audio source, otherwise it will be read from the given mic.")] public bool useCanned = false; [Tooltip("This is the audio source for canned audio.")] @@ -171,12 +141,7 @@ public class OpenSeeVRMDriver : MonoBehaviour { [Tooltip("This shows the current audio volume.")] public float audioVolume = 0f; - [HideInInspector] - public OpenSee.OpenSee.OpenSeeData openSeeData { get; private set; } = null; - - #if WINDOWS_BUILD private OVRLipSync.Frame visemeData = new OVRLipSync.Frame(); - #endif private float fakeTimeTime = 0f; private float volume; static private bool inited = false; @@ -193,14 +158,9 @@ public class OpenSeeVRMDriver : MonoBehaviour { private BlendShapeKey[] visemePresetMap; private Dictionary expressionMap; private OpenSeeVRMExpression currentExpression = null; + private OpenSee.OpenSee.OpenSeeData openSeeData = null; private OpenSeeVRMExpression lastExpression = null; - private bool haveFullVisemeSet = false; - private BlendShapeKey[] fullVisemePresets; - #if WINDOWS_BUILD - private Dictionary ovrMap; - #endif - private float turnLeftBoundaryAngle = -30f; private float turnRightBoundaryAngle = 20f; private float turnDownBoundaryAngle = 205f; @@ -238,15 +198,6 @@ public class OpenSeeVRMDriver : MonoBehaviour { private float currentExpressionEyebrowWeight; private float currentExpressionVisemeFactor; - private OpenSeeBlendShapeProxy proxy = null; - private Animator animator; - private bool haveJawParameter; - private Transform jawBone; - private Quaternion jawRotation = Quaternion.identity; - private HumanBodyBones[] humanBodyBones; - private Transform[] humanBodyBoneTransforms; - private Quaternion[] humanBodyBoneRotations; - private VRMBlendShapeProxy lastAvatar = null; private int eyebrowIsMoving = 0; private double lastBrows = 0f; @@ -262,11 +213,8 @@ public class OpenSeeVRMDriver : MonoBehaviour { private TimeInterpolate browInterpolate; private BlendShapeKey[] browClips; - private bool trackMouth = false; - private double lastPerfectSync = -1; - private float lastAudioTime = -1f; - + private class TimeInterpolate { private float interpolateT = 0f; private float updateT = 0f; @@ -296,303 +244,35 @@ public class OpenSeeVRMDriver : MonoBehaviour { } } - // This class is used to ensure max() based instead of add() based blendshape accumulation and to allow setting animator parameters from blendshape values - private class OpenSeeBlendShapeProxy { - private HashSet browsBlendShapes = new HashSet() { "BROWS UP", "BROWS DOWN", "BROWINNERUP", "BROWDOWNLEFT", "BROWDOWNRIGHT", "BROWOUTERUPLEFT", "BROWOUTERUPRIGHT", "NOSESNEERLEFT", "NOSESNEERRIGHT" }; - private HashSet eyesBlendShapes = new HashSet() { "BLINK", "BLINK_L", "BLINK_R", "EYELOOKUPLEFT", "EYELOOKUPRIGHT", "EYELOOKDOWNLEFT", "EYELOOKDOWNRIGHT", "EYELOOKINLEFT", "EYELOOKINRIGHT", "EYELOOKOUTLEFT", "EYELOOKOUTRIGHT", "EYEBLINKLEFT", "EYEBLINKRIGHT", "EYESQUINTRIGHT", "EYESQUINTLEFT", "EYEWIDELEFT", "EYEWIDERIGHT", "NOSESNEERLEFT", "NOSESNEERRIGHT", "CHEEKSQUINTLEFT", "CHEEKSQUINTRIGHT" }; - private HashSet mouthBlendShapes = new HashSet() { "A", "I", "U", "E", "O", "SIL", "CH", "DD", "FF", "KK", "NN", "PP", "RR", "SS", "TH", "JAWOPEN", "JAWFORWARD", "JAWLEFT", "JAWRIGHT", "MOUTHFUNNEL", "MOUTHPUCKER", "MOUTHLEFT", "MOUTHRIGHT", "MOUTHROLLUPPER", "MOUTHROLLLOWER", "MOUTHSHRUGUPPER", "MOUTHSHRUGLOWER", "MOUTHCLOSE", "MOUTHSMILELEFT", "MOUTHSMILERIGHT", "MOUTHFROWNLEFT", "MOUTHFROWNRIGHT", "MOUTHDIMPLELEFT", "MOUTHDIMPLERIGHT", "MOUTHUPPERUPLEFT", "MOUTHUPPERUPRIGHT", "MOUTHLOWERDOWNLEFT", "MOUTHLOWERDOWNRIGHT", "MOUTHPRESSLEFT", "MOUTHPRESSRIGHT", "MOUTHSTRETCHLEFT", "MOUTHSTRETCHRIGHT", "TONGUEOUT", "CHEEKSQUINTLEFT", "CHEEKSQUINTRIGHT" }; - private bool clearPSBrows = false; - private bool clearPSEyes = false; - private bool clearPSMouth = false; - private Dictionary clearKeys = new Dictionary(); - - private bool perfectSync = false; - private HashSet visemeBlendShapes = new HashSet() { "A", "I", "U", "E", "O", "SIL", "CH", "DD", "FF", "KK", "NN", "PP", "RR", "SS", "TH" }; - private string[] perfectSyncNames = new string[] { "BROWINNERUP", "BROWDOWNLEFT", "BROWDOWNRIGHT", "BROWOUTERUPLEFT", "BROWOUTERUPRIGHT", "EYELOOKUPLEFT", "EYELOOKUPRIGHT", "EYELOOKDOWNLEFT", "EYELOOKDOWNRIGHT", "EYELOOKINLEFT", "EYELOOKINRIGHT", "EYELOOKOUTLEFT", "EYELOOKOUTRIGHT", "EYEBLINKLEFT", "EYEBLINKRIGHT", "EYESQUINTRIGHT", "EYESQUINTLEFT", "EYEWIDELEFT", "EYEWIDERIGHT", "CHEEKPUFF", "CHEEKSQUINTLEFT", "CHEEKSQUINTRIGHT", "NOSESNEERLEFT", "NOSESNEERRIGHT", "JAWOPEN", "JAWFORWARD", "JAWLEFT", "JAWRIGHT", "MOUTHFUNNEL", "MOUTHPUCKER", "MOUTHLEFT", "MOUTHRIGHT", "MOUTHROLLUPPER", "MOUTHROLLLOWER", "MOUTHSHRUGUPPER", "MOUTHSHRUGLOWER", "MOUTHCLOSE", "MOUTHSMILELEFT", "MOUTHSMILERIGHT", "MOUTHFROWNLEFT", "MOUTHFROWNRIGHT", "MOUTHDIMPLELEFT", "MOUTHDIMPLERIGHT", "MOUTHUPPERUPLEFT", "MOUTHUPPERUPRIGHT", "MOUTHLOWERDOWNLEFT", "MOUTHLOWERDOWNRIGHT", "MOUTHPRESSLEFT", "MOUTHPRESSRIGHT", "MOUTHSTRETCHLEFT", "MOUTHSTRETCHRIGHT", "TONGUEOUT" }; - private InterpolatedMap perfectSyncMap = new InterpolatedMap(); - private Dictionary clipMap = new Dictionary(); - - private VRMBlendShapeProxy proxy = null; - private Animator animator = null; - private RuntimeAnimatorController animatorController = null; - private Dictionary clearMap = new Dictionary(); - private Dictionary values = new Dictionary(); - private Dictionary clipNames = new Dictionary(); - private Dictionary> parameters = new Dictionary>(); - private bool interpolatedPerfectSync = false; - private float defaultWeight = 1f; - private OpenSeeVRMDriver vrmDriver = null; - - public OpenSeeBlendShapeProxy(OpenSeeVRMDriver vrmDriver) { - this.vrmDriver = vrmDriver; - } - - void InterpolatePerfectSync() { - if (!HasPerfectSync() || interpolatedPerfectSync) - return; - foreach (var name in perfectSyncNames) { - if (!perfectSyncMap.Check(name)) - continue; - float weight = perfectSyncMap.Get(name); - AccumulateValue(name, weight, 1f); - } - interpolatedPerfectSync = true; - } - - public void ClearPerfectSync() { - perfectSyncMap.Clear(); - } - - public void SetPerfectSync(string name, float weight, double nowT, float factor) { - perfectSyncMap.Store(name.ToUpper(), Mathf.Clamp(weight * factor, 0f, 1f), nowT); - } - - public void SetPerfectSync(string name, float weight, double nowT) { - SetPerfectSync(name, weight, nowT, defaultWeight); - } - - public bool HasPerfectSync() { - if (proxy == null || animator == null) - return false; - return perfectSync; - } - - public void SetWeight(float v) { - defaultWeight = v; - } - - public void DisableFaceParts(bool brows, bool eyes, bool mouth) { - clearPSBrows = brows; - clearPSEyes = eyes; - clearPSMouth = mouth; - } - - private void SetFloat(BlendShapeKey key, float weight) { - SetFloat(key, weight, defaultWeight); - } - - private void SetFloat(BlendShapeKey key, float weight, float factor) { - if (!clipNames.ContainsKey(key)) - return; - string name = clipNames[key]; - weight *= factor; - if (animator != null && parameters.ContainsKey(name)) { - var parameter = parameters[name]; - if (parameter.Item2 == AnimatorControllerParameterType.Float) - animator.SetFloat(parameter.Item1, weight); - if (parameter.Item2 == AnimatorControllerParameterType.Bool) - animator.SetBool(parameter.Item1, weight > 0.5f); - } - } - - private void CheckAnimatorController() { - if (animator == null) - return; - if (animatorController != animator.runtimeAnimatorController) { - animatorController = animator.runtimeAnimatorController; - parameters.Clear(); - foreach (var parameter in animator.parameters) { - string key = parameter.name.ToUpper(); - if (!parameters.ContainsKey(key) && (parameter.type == AnimatorControllerParameterType.Float || parameter.type == AnimatorControllerParameterType.Bool)) - parameters.Add(key, new Tuple(parameter.name, parameter.type)); - else - parameters[key] = new Tuple(parameter.name, parameter.type); - } - } - } - - public void Clear() { - CheckAnimatorController(); - interpolatedPerfectSync = false; - if (proxy != null) { - foreach (var pair in proxy.GetValues()) { - SetFloat(pair.Key, 0f); - } - foreach (var pair in values) { - SetFloat(pair.Key, 0f); - } - proxy.SetValues(clearMap); - } - values.Clear(); - } - - void NormalizeVisemes() { - float total = 0f; - foreach (var pair in values) { - string name = pair.Key.Name.ToUpper(); - if (visemeBlendShapes.Contains(name)) - total += pair.Value; - } - if (total > 1f) { - var keys = new List(values.Keys); - foreach (var key in keys) { - string name = key.Name.ToUpper(); - if (visemeBlendShapes.Contains(name)) - values[key] = values[key] / total; - } - } - } - - public void Apply() { - if (proxy == null) - return; - CheckAnimatorController(); - if (perfectSync) - InterpolatePerfectSync(); - if (vrmDriver != null && vrmDriver.visemeNormalization) - NormalizeVisemes(); - if (clearPSBrows || clearPSEyes || clearPSMouth) { - clearKeys.Clear(); - foreach (var pair in proxy.GetValues()) { - string name = pair.Key.Name.ToUpper(); - if (clearPSBrows && browsBlendShapes.Contains(name)) { - clearKeys[pair.Key] = 0f; - values[pair.Key] = 0f; - } else if (clearPSEyes && eyesBlendShapes.Contains(name)) { - clearKeys[pair.Key] = 0f; - values[pair.Key] = 0f; - } else if (clearPSMouth && mouthBlendShapes.Contains(name)) { - clearKeys[pair.Key] = 0f; - values[pair.Key] = 0f; - } - } - clearPSBrows = false; - clearPSEyes = false; - clearPSMouth = false; - } - proxy.SetValues(values); - foreach (var pair in values) { - SetFloat(pair.Key, pair.Value, 1f); - } - proxy.Apply(); - } - - public void AccumulateValue(BlendShapeKey key, float weight, float factor) { - if (!values.ContainsKey(key)) - values.Add(key, weight * factor); - else - values[key] = Mathf.Max(values[key], weight * factor); - } - - public void AccumulateValue(BlendShapeKey key, float weight) { - AccumulateValue(key, weight, defaultWeight); - } - - public void AccumulateValue(string key, float weight, float factor) { - if (!clipMap.ContainsKey(key.ToUpper())) - return; - AccumulateValue(clipMap[key.ToUpper()], weight, factor); - } - - public void AccumulateValue(string key, float weight) { - AccumulateValue(key, weight, defaultWeight); - } - - public void UpdateAvatar(VRMBlendShapeProxy vrmBlendShapeProxy, Animator animator) { - proxy = vrmBlendShapeProxy; - this.animator = animator; - - perfectSync = false; - if (proxy == null) - return; - HashSet perfectSyncSet = new HashSet(perfectSyncNames); - clipMap.Clear(); - clipNames.Clear(); - clearMap.Clear(); - perfectSyncMap.Clear(); - //perfectSyncMap.SetSmoothing(0.5f); - foreach (BlendShapeClip clip in vrmBlendShapeProxy.BlendShapeAvatar.Clips) { - if (clip.Preset == BlendShapePreset.Unknown && clip.BlendShapeName != null) { - string name = clip.BlendShapeName.ToUpper(); - clipMap.Add(name, BlendShapeKey.CreateUnknown(clip.BlendShapeName)); - clipNames.Add(BlendShapeKey.CreateUnknown(clip.BlendShapeName), name); - clearMap.Add(BlendShapeKey.CreateUnknown(clip.BlendShapeName), 0f); - if (perfectSyncSet.Contains(name)) { - perfectSyncSet.Remove(name); - } - } else if (clip.Preset != BlendShapePreset.Unknown) { - string name = clip.BlendShapeName.ToUpper(); - clipNames.Add(BlendShapeKey.CreateFromPreset(clip.Preset), name); - clearMap.Add(BlendShapeKey.CreateFromPreset(clip.Preset), 0f); - } - } - if (perfectSyncSet.Count < 1) - perfectSync = true; - } - } - - #if WINDOWS_BUILD private Dictionary catsData = null; - #endif void InitCatsData() { - #if WINDOWS_BUILD catsData = new Dictionary(); - // This is similar to what the Blender CATS plugin does, but with A, I, U, E, O, JawOpen - catsData.Add(OVRLipSync.Viseme.sil, new float[]{0f, 0f, 0f, 0f, 0f, 0f}); - catsData.Add(OVRLipSync.Viseme.aa, new float[]{0.9998f, 0f, 0f, 0f, 0f, 1f}); - catsData.Add(OVRLipSync.Viseme.CH, new float[]{0f, 0.9996f, 0f, 0f, 0f, 1f}); - catsData.Add(OVRLipSync.Viseme.DD, new float[]{0.3f, 0.7f, 0f, 0f, 0f, 0.7f}); - catsData.Add(OVRLipSync.Viseme.E, new float[]{0f, 0f, 0f, 0.9997f, 0f, 0.6f}); - catsData.Add(OVRLipSync.Viseme.FF, new float[]{0.2f, 0.4f, 0f, 0f, 0f, 0.1f}); - catsData.Add(OVRLipSync.Viseme.ih, new float[]{0.5f, 0.2f, 0f, 0f, 0f, 0.5f}); - catsData.Add(OVRLipSync.Viseme.kk, new float[]{0.7f, 0.4f, 0f, 0f, 0f, 0.0f}); - catsData.Add(OVRLipSync.Viseme.nn, new float[]{0.2f, 0.7f, 0f, 0f, 0f, 0.1f}); - catsData.Add(OVRLipSync.Viseme.oh, new float[]{0f, 0f, 0f, 0f, 0.9999f, 1f}); - catsData.Add(OVRLipSync.Viseme.ou, new float[]{0f, 0f, 0.9995f, 0f, 0f, 1f}); - catsData.Add(OVRLipSync.Viseme.PP, new float[]{0.4f, 0f, 0f, 0f, 0.4f, 0f}); - catsData.Add(OVRLipSync.Viseme.RR, new float[]{0f, 0.5f, 0f, 0f, 0.3f, 0.4f}); - catsData.Add(OVRLipSync.Viseme.SS, new float[]{0f, 0.8f, 0f, 0f, 0f, 0.3f}); - catsData.Add(OVRLipSync.Viseme.TH, new float[]{0.4f, 0f, 0f, 0f, 0.15f, 0.5f}); - #endif - visemePresetMap = new BlendShapeKey[6] { + // This is similar to what the Blender CATS plugin does, but with A, I, U, E, O + catsData.Add(OVRLipSync.Viseme.sil, new float[]{0f, 0f, 0f, 0f, 0f}); + catsData.Add(OVRLipSync.Viseme.aa, new float[]{0.9998f, 0f, 0f, 0f, 0f}); + catsData.Add(OVRLipSync.Viseme.CH, new float[]{0f, 0.9996f, 0f, 0f, 0f}); + catsData.Add(OVRLipSync.Viseme.DD, new float[]{0.3f, 0.7f, 0f, 0f, 0f}); + catsData.Add(OVRLipSync.Viseme.E, new float[]{0f, 0f, 0f, 0.9997f, 0f}); + catsData.Add(OVRLipSync.Viseme.FF, new float[]{0.2f, 0.4f, 0f, 0f, 0f}); + catsData.Add(OVRLipSync.Viseme.ih, new float[]{0.5f, 0.2f, 0f, 0f, 0f}); + catsData.Add(OVRLipSync.Viseme.kk, new float[]{0.7f, 0.4f, 0f, 0f, 0f}); + catsData.Add(OVRLipSync.Viseme.nn, new float[]{0.2f, 0.7f, 0f, 0f, 0f}); + catsData.Add(OVRLipSync.Viseme.oh, new float[]{0f, 0f, 0f, 0f, 0.9999f}); + catsData.Add(OVRLipSync.Viseme.ou, new float[]{0f, 0f, 0.9995f, 0f, 0f}); + catsData.Add(OVRLipSync.Viseme.PP, new float[]{0.4f, 0f, 0f, 0f, 0.4f}); + catsData.Add(OVRLipSync.Viseme.RR, new float[]{0f, 0.5f, 0f, 0f, 0.3f}); + catsData.Add(OVRLipSync.Viseme.SS, new float[]{0f, 0.8f, 0f, 0f, 0f}); + catsData.Add(OVRLipSync.Viseme.TH, new float[]{0.4f, 0f, 0f, 0f, 0.15f}); + visemePresetMap = new BlendShapeKey[5] { BlendShapeKey.CreateFromPreset(BlendShapePreset.A), BlendShapeKey.CreateFromPreset(BlendShapePreset.I), BlendShapeKey.CreateFromPreset(BlendShapePreset.U), BlendShapeKey.CreateFromPreset(BlendShapePreset.E), - BlendShapeKey.CreateFromPreset(BlendShapePreset.O), - BlendShapeKey.CreateFromPreset(BlendShapePreset.Unknown) - }; - lastVisemeValues = new float[] {0f, 0f, 0f, 0f, 0f, 0f, 0f, 0f, 0f, 0f, 0f, 0f, 0f, 0f, 0f, 0f}; - #if WINDOWS_BUILD - ovrMap = new Dictionary() { - [OVRLipSync.Viseme.sil] = 0, - [OVRLipSync.Viseme.aa] = 1, - [OVRLipSync.Viseme.CH] = 2, - [OVRLipSync.Viseme.DD] = 3, - [OVRLipSync.Viseme.E] = 4, - [OVRLipSync.Viseme.FF] = 5, - [OVRLipSync.Viseme.ih] = 6, - [OVRLipSync.Viseme.kk] = 7, - [OVRLipSync.Viseme.nn] = 8, - [OVRLipSync.Viseme.oh] = 9, - [OVRLipSync.Viseme.ou] = 10, - [OVRLipSync.Viseme.PP] = 11, - [OVRLipSync.Viseme.RR] = 12, - [OVRLipSync.Viseme.SS] = 13, - [OVRLipSync.Viseme.TH] = 14 - }; - #endif - fullVisemePresets = new BlendShapeKey[16] { - BlendShapeKey.CreateUnknown("SIL"), - BlendShapeKey.CreateFromPreset(BlendShapePreset.A), - BlendShapeKey.CreateUnknown("CH"), - BlendShapeKey.CreateUnknown("DD"), - BlendShapeKey.CreateFromPreset(BlendShapePreset.E), - BlendShapeKey.CreateUnknown("FF"), - BlendShapeKey.CreateFromPreset(BlendShapePreset.I), - BlendShapeKey.CreateUnknown("KK"), - BlendShapeKey.CreateUnknown("NN"), - BlendShapeKey.CreateFromPreset(BlendShapePreset.O), - BlendShapeKey.CreateFromPreset(BlendShapePreset.U), - BlendShapeKey.CreateUnknown("PP"), - BlendShapeKey.CreateUnknown("RR"), - BlendShapeKey.CreateUnknown("SS"), - BlendShapeKey.CreateUnknown("TH"), - BlendShapeKey.CreateFromPreset(BlendShapePreset.Unknown) + BlendShapeKey.CreateFromPreset(BlendShapePreset.O) }; + lastVisemeValues = new float[5] {0f, 0f, 0f, 0f, 0f}; } - #if WINDOWS_BUILD OVRLipSync.Viseme GetActiveViseme(out float bestValue) { var visemes = Enum.GetValues(typeof(OVRLipSync.Viseme)); bestValue = -1f; @@ -605,11 +285,8 @@ public class OpenSeeVRMDriver : MonoBehaviour { } return bestViseme; } - #endif - + bool ApplyVisemes() { - #if WINDOWS_BUILD - trackMouth = false; if (vrmBlendShapeProxy == null || catsData == null) return true; float expressionFactor = 1f; @@ -641,18 +318,8 @@ public class OpenSeeVRMDriver : MonoBehaviour { weight = Mathf.Clamp(weight * 1.5f, 0f, 1f); else weight = 1f; - - float[] values = new float[16]; - int lastIdx = 5; - if (haveFullVisemeSet) { - lastIdx = 15; - values[ovrMap[current]] = weight; - values[lastIdx] = catsData[current][5]; - } else { - Array.Copy(catsData[current], values, 6); - } - - for (int i = 0; i <= lastIdx; i++) { + float[] values = catsData[current]; + for (int i = 0; i < 5; i++) { lastVisemeValues[i] = values[i] * weight * (1f - visemeSmoothing) + lastVisemeValues[i] * visemeSmoothing; if (lastVisemeValues[i] < 0f) { lastVisemeValues[i] = 0f; @@ -661,43 +328,12 @@ public class OpenSeeVRMDriver : MonoBehaviour { lastVisemeValues[i] = 1f; } float result = lastVisemeValues[i] * visemeFactor * expressionFactor; - if (result > 0f && i < lastIdx) { - if (haveFullVisemeSet) - proxy.AccumulateValue(fullVisemePresets[i], result, 1f); - else - proxy.AccumulateValue(visemePresetMap[i], result, 1f); - } - if (i == lastIdx) { - if (animateJawBone) - SetJaw(result * 0.99999f); - else - SetJaw(0f); - } + if (result > 0f) + vrmBlendShapeProxy.AccumulateValue(visemePresetMap[i], result); } - #endif return false; } - void SetJaw(float v) { - if (haveJawParameter) { - animator.SetFloat("JawMovement", v); - return; - } - if (jawBoneAnimation != null && jawBone != null) { - for (int i = 0; i < humanBodyBones.Length; i++) { - if (humanBodyBoneTransforms[i] != null) - humanBodyBoneRotations[i] = humanBodyBoneTransforms[i].localRotation; - } - jawBoneAnimation.SampleAnimation(lastAvatar.gameObject, v / jawBoneAnimation.frameRate); - jawRotation = jawBone.localRotation; - for (int i = 0; i < humanBodyBones.Length; i++) { - if (humanBodyBoneTransforms[i] != null) - humanBodyBoneTransforms[i].localRotation = humanBodyBoneRotations[i]; - } - return; - } - } - void ApplyMouthShape(bool fadeOnly) { if (vrmBlendShapeProxy == null) return; @@ -707,9 +343,9 @@ public class OpenSeeVRMDriver : MonoBehaviour { return; if (lastMouthStates == null) - lastMouthStates = new float[]{0f, 0f, 0f, 0f, 0f, 0f}; + lastMouthStates = new float[]{0f, 0f, 0f, 0f, 0f}; if (currentMouthStates == null) - currentMouthStates = new float[]{0f, 0f, 0f, 0f, 0f, 0f}; + currentMouthStates = new float[]{0f, 0f, 0f, 0f, 0f}; if (mouthInterpolate == null) mouthInterpolate = new TimeInterpolate(); @@ -718,24 +354,15 @@ public class OpenSeeVRMDriver : MonoBehaviour { if (currentExpression != null && !currentExpressionEnableVisemes) return; - trackMouth = !fadeOnly; - float expressionFactor = 1f; if (currentExpression != null) expressionFactor = currentExpressionVisemeFactor; - for (int i = 0; i < 6; i++) { + for (int i = 0; i < 5; i++) { float interpolated = Mathf.Lerp(lastMouthStates[i], currentMouthStates[i], t); float result = interpolated * expressionFactor * visemeFactor; - if (i < 5 && result > 0f) - if (!useCameraPerfectSync || !proxy.HasPerfectSync()) - proxy.AccumulateValue(visemePresetMap[i], result); - if (i == 5) { - if (animateJawBone) - SetJaw(result * 0.99999f * blendShapeWeight); - else - SetJaw(0f); - } + if (result > 0f) + vrmBlendShapeProxy.AccumulateValue(visemePresetMap[i], result); } if (lastMouth < openSeeData.time) { @@ -743,7 +370,7 @@ public class OpenSeeVRMDriver : MonoBehaviour { mouthInterpolate.UpdateTime(lastMouth); float open = openSeeData.features.MouthOpen; float wide = openSeeData.features.MouthWide; - float[] mouthStates = new float[]{0f, 0f, 0f, 0f, 0f, 0f}; + float[] mouthStates = new float[]{0f, 0f, 0f, 0f, 0f}; float stabilizer = mouthStabilizer; float stabilizerWide = mouthStabilizerWide; @@ -757,7 +384,6 @@ public class OpenSeeVRMDriver : MonoBehaviour { break; if (mouthUseSquelch && audioVolume < mouthSquelch) break; - mouthStates[5] = Mathf.Clamp(open / 0.55f - 0.1f, 0f, 1f); if (open < stabilizer && Mathf.Abs(wide) < stabilizer) break; if (wide > stabilizer && open < stabilizerWide) @@ -767,7 +393,7 @@ public class OpenSeeVRMDriver : MonoBehaviour { mouthStates[4] = open; } else if (open >= 0f) { // A - mouthStates[0] = open; + mouthStates[0] = open * 1f; } if (wide >= 0f && open > stabilizer * 0.5f) { if (wide > 0.5f) { @@ -775,7 +401,7 @@ public class OpenSeeVRMDriver : MonoBehaviour { mouthStates[1] = wide; } else { // E - mouthStates[3] = wide; + mouthStates[3] = wide * 1f; } } else if (wide < Mathf.Clamp(stabilizerWide * 1.5f, 0f, 0.8f) && open > stabilizer) { // U @@ -796,7 +422,7 @@ public class OpenSeeVRMDriver : MonoBehaviour { } } while (false); - for (int i = 0; i < 6; i++) { + for (int i = 0; i < 5; i++) { lastMouthStates[i] = Mathf.Lerp(lastMouthStates[i], currentMouthStates[i], t); mouthStates[i] = Mathf.Lerp(lastMouthStates[i], mouthStates[i], 1f - mouthSmoothing); } @@ -808,127 +434,6 @@ public class OpenSeeVRMDriver : MonoBehaviour { ApplyMouthShape(false); } - void UpdatePerfectSync() { - if (openSeeData == null || lastPerfectSync >= openSeeData.time) - return; - lastPerfectSync = openSeeData.time; - if (useCameraPerfectSync && proxy.HasPerfectSync()) { - float upDownStrength = (openSeeData.features.EyebrowUpDownLeft + openSeeData.features.EyebrowUpDownRight) / 2f; - if (upDownStrength > 0f) - proxy.SetPerfectSync("BROWINNERUP", upDownStrength * 0.8f, lastPerfectSync); - else - proxy.SetPerfectSync("BROWINNERUP", 0, lastPerfectSync); - - if (openSeeData.features.EyebrowUpDownLeft < 0.2f) { - proxy.SetPerfectSync("BROWDOWNLEFT", -openSeeData.features.EyebrowUpDownLeft * 0.5f, lastPerfectSync); - if (openSeeData.features.EyeLeft < 0.1f && openSeeData.features.EyeLeft > -0.6f) { - proxy.SetPerfectSync("EYESQUINTLEFT", -openSeeData.features.EyeLeft, lastPerfectSync); - proxy.SetPerfectSync("EYEBLINKLEFT", 0, lastPerfectSync); - } else if (openSeeData.features.EyeLeft <= -0.6f) { - proxy.SetPerfectSync("EYEBLINKLEFT", -openSeeData.features.EyeLeft * 1.5f, lastPerfectSync); - proxy.SetPerfectSync("EYESQUINTLEFT", 0, lastPerfectSync); - } else { - proxy.SetPerfectSync("EYESQUINTLEFT", 0, lastPerfectSync); - proxy.SetPerfectSync("EYEBLINKLEFT", 0, lastPerfectSync); - } - } else { - proxy.SetPerfectSync("BROWDOWNLEFT", 0, lastPerfectSync); - proxy.SetPerfectSync("EYESQUINTLEFT", 0, lastPerfectSync); - if (openSeeData.features.EyeLeft <= -0.3f) - proxy.SetPerfectSync("EYEBLINKLEFT", -openSeeData.features.EyeLeft * 1.5f, lastPerfectSync); - else - proxy.SetPerfectSync("EYEBLINKLEFT", 0, lastPerfectSync); - } - - if (openSeeData.features.EyebrowUpDownRight < 0.2f) { - proxy.SetPerfectSync("BROWDOWNRIGHT", -openSeeData.features.EyebrowUpDownRight * 0.5f, lastPerfectSync); - if (openSeeData.features.EyeRight < 0.1f && openSeeData.features.EyeRight > -0.6f) { - proxy.SetPerfectSync("EYESQUINTRIGHT", -openSeeData.features.EyeRight, lastPerfectSync); - proxy.SetPerfectSync("EYEBLINKRIGHT", 0, lastPerfectSync); - } else if (openSeeData.features.EyeRight <= -0.6f) { - proxy.SetPerfectSync("EYEBLINKRIGHT", -openSeeData.features.EyeRight * 1.5f, lastPerfectSync); - proxy.SetPerfectSync("EYESQUINTRIGHT", 0, lastPerfectSync); - } else { - proxy.SetPerfectSync("EYESQUINTRIGHT", 0, lastPerfectSync); - proxy.SetPerfectSync("EYEBLINKRIGHT", 0, lastPerfectSync); - } - } else { - proxy.SetPerfectSync("BROWDOWNRIGHT", 0, lastPerfectSync); - proxy.SetPerfectSync("EYESQUINTRIGHT", 0, lastPerfectSync); - if (openSeeData.features.EyeRight <= -0.3f) - proxy.SetPerfectSync("EYEBLINKRIGHT", -openSeeData.features.EyeRight * 1.5f, lastPerfectSync); - else - proxy.SetPerfectSync("EYEBLINKRIGHT", 0, lastPerfectSync); - } - - if (openSeeData.features.EyebrowSteepnessLeft < 0.2f) - proxy.SetPerfectSync("BROWOUTERUPLEFT", -openSeeData.features.EyebrowSteepnessLeft, lastPerfectSync); - else - proxy.SetPerfectSync("BROWOUTERUPLEFT", 0, lastPerfectSync); - - if (openSeeData.features.EyebrowSteepnessRight < 0.2f) - proxy.SetPerfectSync("BROWOUTERUPRIGHT", -openSeeData.features.EyebrowSteepnessRight, lastPerfectSync); - else - proxy.SetPerfectSync("BROWOUTERUPRIGHT", 0, lastPerfectSync); - - if (openSeeData.features.EyeLeft > 0.5f) - proxy.SetPerfectSync("EYEWIDELEFT", openSeeData.features.EyeLeft * 0.7f, lastPerfectSync); - else - proxy.SetPerfectSync("EYEWIDELEFT", 0, lastPerfectSync); - - if (openSeeData.features.EyeRight > 0.5f) - proxy.SetPerfectSync("EYEWIDERIGHT", openSeeData.features.EyeRight * 0.7f, lastPerfectSync); - else - proxy.SetPerfectSync("EYEWIDERIGHT", 0, lastPerfectSync); - - if (trackMouth) { - if (openSeeData.features.MouthWide < 0.5f) - proxy.SetPerfectSync("MOUTHPUCKER", -openSeeData.features.MouthWide * 0.3f, lastPerfectSync); - else - proxy.SetPerfectSync("MOUTHPUCKER", 0, lastPerfectSync); - - if (openSeeData.features.MouthOpen > 0.0f) { - proxy.SetPerfectSync("JAWOPEN", openSeeData.features.MouthOpen, lastPerfectSync); - proxy.SetPerfectSync("MOUTHCLOSE", 0, lastPerfectSync); - } else if (openSeeData.features.MouthOpen < -0.0f) { - proxy.SetPerfectSync("MOUTHCLOSE", openSeeData.features.MouthOpen, lastPerfectSync); - proxy.SetPerfectSync("JAWOPEN", 0, lastPerfectSync); - } else { - proxy.SetPerfectSync("JAWOPEN", 0, lastPerfectSync); - proxy.SetPerfectSync("MOUTHCLOSE", 0, lastPerfectSync); - } - - if (openSeeData.features.MouthCornerInOutLeft > 0.3f) - proxy.SetPerfectSync("MOUTHLEFT", openSeeData.features.MouthCornerInOutLeft * 0.5f, lastPerfectSync); - else - proxy.SetPerfectSync("MOUTHLEFT", 0, lastPerfectSync); - - if (openSeeData.features.MouthCornerInOutRight > 0.3f) - proxy.SetPerfectSync("MOUTHRIGHT", openSeeData.features.MouthCornerInOutRight * 0.5f, lastPerfectSync); - else - proxy.SetPerfectSync("MOUTHRIGHT", 0, lastPerfectSync); - - if (openSeeData.features.MouthCornerUpDownLeft > 0.3f) - proxy.SetPerfectSync("MOUTHSMILELEFT", openSeeData.features.MouthCornerUpDownLeft * 0.5f, lastPerfectSync); - else if (openSeeData.features.MouthCornerUpDownLeft < -0.3f) - proxy.SetPerfectSync("MOUTHFROWNLEFT", -openSeeData.features.MouthCornerUpDownLeft, lastPerfectSync); - else { - proxy.SetPerfectSync("MOUTHSMILELEFT", 0, lastPerfectSync); - proxy.SetPerfectSync("MOUTHFROWNLEFT", 0, lastPerfectSync); - } - - if (openSeeData.features.MouthCornerUpDownRight > 0.3f) - proxy.SetPerfectSync("MOUTHSMILERIGHT", openSeeData.features.MouthCornerUpDownRight * 0.5f, lastPerfectSync); - else if (openSeeData.features.MouthCornerUpDownLeft < -0.3f) - proxy.SetPerfectSync("MOUTHFROWNRIGHT", -openSeeData.features.MouthCornerUpDownRight, lastPerfectSync); - else { - proxy.SetPerfectSync("MOUTHSMILERIGHT", 0, lastPerfectSync); - proxy.SetPerfectSync("MOUTHFROWNRIGHT", 0, lastPerfectSync); - } - } - } - } - void UpdateBrows() { if ((browClips == null && (faceMesh == null || faceType < 0)) || openSeeData == null) { return; @@ -941,23 +446,19 @@ public class OpenSeeVRMDriver : MonoBehaviour { if (currentExpression != null) strength *= currentExpressionEyebrowWeight; - if (!useCameraPerfectSync || !proxy.HasPerfectSync()) { - if (!skipApply && browClips == null) { - if (browUpIndex > -1 && strength > 0f) - faceMesh.SetBlendShapeWeight(browUpIndex, strength * Mathf.Lerp(lastBrowStates[0], currentBrowStates[0], t)); - if (browDownIndex > -1 && strength > 0f) - faceMesh.SetBlendShapeWeight(browDownIndex, strength * Mathf.Lerp(lastBrowStates[1], currentBrowStates[1], t)); - if (browAngryIndex > -1 && strength > 0f) - faceMesh.SetBlendShapeWeight(browAngryIndex, strength * Mathf.Lerp(lastBrowStates[2], currentBrowStates[2], t)); - if (browSorrowIndex > -1 && strength > 0f) - faceMesh.SetBlendShapeWeight(browSorrowIndex, strength * Mathf.Lerp(lastBrowStates[3], currentBrowStates[3], t)); - } - if (browClips != null && strength > 0f) { - if (lastBrowUpDown > 0f) - proxy.AccumulateValue(browClips[0], strength * Mathf.Lerp(lastBrowStates[0], currentBrowStates[0], t)); - else if (lastBrowUpDown < 0f) - proxy.AccumulateValue(browClips[1], strength * Mathf.Lerp(lastBrowStates[1], currentBrowStates[1], t)); - } + if (browUpIndex > -1 && strength > 0f) + faceMesh.SetBlendShapeWeight(browUpIndex, strength * Mathf.Lerp(lastBrowStates[0], currentBrowStates[0], t)); + if (browDownIndex > -1 && strength > 0f) + faceMesh.SetBlendShapeWeight(browDownIndex, strength * Mathf.Lerp(lastBrowStates[1], currentBrowStates[1], t)); + if (browAngryIndex > -1 && strength > 0f) + faceMesh.SetBlendShapeWeight(browAngryIndex, strength * Mathf.Lerp(lastBrowStates[2], currentBrowStates[2], t)); + if (browSorrowIndex > -1 && strength > 0f) + faceMesh.SetBlendShapeWeight(browSorrowIndex, strength * Mathf.Lerp(lastBrowStates[3], currentBrowStates[3], t)); + if (browClips != null && strength > 0f) { + if (lastBrowUpDown > 0f) + vrmBlendShapeProxy.AccumulateValue(browClips[0], strength * Mathf.Lerp(lastBrowStates[0], currentBrowStates[0], t)); + else if (lastBrowUpDown < 0f) + vrmBlendShapeProxy.AccumulateValue(browClips[1], strength * Mathf.Lerp(lastBrowStates[1], currentBrowStates[1], t)); } if (lastBrows < openSeeData.time) { @@ -1049,30 +550,8 @@ public class OpenSeeVRMDriver : MonoBehaviour { void FindFaceMesh() { if (lastAvatar == vrmBlendShapeProxy) return; - if (visemePresetMap == null) - InitCatsData(); lastAvatar = vrmBlendShapeProxy; - animator = lastAvatar.gameObject.GetComponent(); - - if (animator != null) { - haveJawParameter = false; - for (int i = 0; i < animator.parameterCount; i++) { - if (animator.parameters[i].name == "JawMovement") { - haveJawParameter = true; - break; - } - } - jawBone = animator.GetBoneTransform(HumanBodyBones.Jaw); - for (int i = 0; i < humanBodyBones.Length; i++) { - if (humanBodyBones[i] >= 0 && humanBodyBones[i] < HumanBodyBones.LastBone) - humanBodyBoneTransforms[i] = animator.GetBoneTransform(humanBodyBones[i]); - else - humanBodyBoneTransforms[i] = null; - } - } - proxy.UpdateAvatar(lastAvatar, animator); - faceMesh = null; faceType = -1; browUpIndex = -1; @@ -1086,31 +565,17 @@ public class OpenSeeVRMDriver : MonoBehaviour { if (vrmBlendShapeProxy == null) return; - HashSet visemeClipNames = new HashSet(); - foreach (var key in fullVisemePresets) - if (key.Preset == BlendShapePreset.Unknown && key.Name != "") - visemeClipNames.Add(key.Name.ToUpper()); - // Check if the model has set up blendshape clips. Thanks do Deat for this idea! string foundClipUp = null; string foundClipDown = null; - HashSet foundVisemeClips = new HashSet(); foreach (BlendShapeClip clip in vrmBlendShapeProxy.BlendShapeAvatar.Clips) { if (clip.Preset == BlendShapePreset.Unknown && clip.BlendShapeName != null) { - string name = clip.BlendShapeName.ToUpper(); - if (name == "BROWS UP") + if (clip.BlendShapeName.ToUpper() == "BROWS UP") foundClipUp = clip.BlendShapeName; - if (name == "BROWS DOWN") + if (clip.BlendShapeName.ToUpper() == "BROWS DOWN") foundClipDown = clip.BlendShapeName; - if (visemeClipNames.Contains(name)) - foundVisemeClips.Add(name); } } - haveFullVisemeSet = false; - if (visemeClipNames.SetEquals(foundVisemeClips)) { - Debug.Log("Detected full viseme set on avatar."); - haveFullVisemeSet = true; - } if (foundClipUp != null && foundClipDown != null) { browClips = new BlendShapeKey[2] { BlendShapeKey.CreateUnknown(foundClipUp), @@ -1447,7 +912,7 @@ public class OpenSeeVRMDriver : MonoBehaviour { foreach (var expression in expressionMap.Values) { float weight = expression.GetWeight(baseTransitionTime); if (weight > 0f) { - proxy.AccumulateValue(expression.blendShapeKey, weight, 1f); + vrmBlendShapeProxy.AccumulateValue(expression.blendShapeKey, weight); // Accumulate limits on expressions currentExpressionEnableBlinking = currentExpressionEnableBlinking && expression.enableBlinking; @@ -1456,7 +921,6 @@ public class OpenSeeVRMDriver : MonoBehaviour { currentExpressionVisemeFactor = Mathf.Min(currentExpressionVisemeFactor, expression.visemeFactor); } } - proxy.DisableFaceParts(currentExpressionEyebrowWeight < 0.0005f, !currentExpressionEnableBlinking, !currentExpressionEnableVisemes || (currentExpressionVisemeFactor < 0.0005f)); lastExpression = currentExpression; } @@ -1485,7 +949,7 @@ public class OpenSeeVRMDriver : MonoBehaviour { } void UpdateGaze() { - if (openSeeData == null || vrmBlendShapeProxy == null || openSeeIKTarget == null || skipApplyEyes) + if (openSeeData == null || vrmBlendShapeProxy == null || openSeeIKTarget == null) return; float lookUpDown = currentLookUpDown; @@ -1502,26 +966,32 @@ public class OpenSeeVRMDriver : MonoBehaviour { lookLeftRight = -lookLeftRight; if (leftEye == null && rightEye == null) { + vrmBlendShapeProxy.AccumulateValue(BlendShapeKey.CreateFromPreset(BlendShapePreset.LookUp), 0f); + vrmBlendShapeProxy.AccumulateValue(BlendShapeKey.CreateFromPreset(BlendShapePreset.LookDown), 0f); + vrmBlendShapeProxy.AccumulateValue(BlendShapeKey.CreateFromPreset(BlendShapePreset.LookLeft), 0); + vrmBlendShapeProxy.AccumulateValue(BlendShapeKey.CreateFromPreset(BlendShapePreset.LookRight), 0f); if (gazeTracking) { if (lookUpDown > 0f) { - proxy.AccumulateValue(BlendShapeKey.CreateFromPreset(BlendShapePreset.LookUp), gazeFactor.x * lookUpDown); + vrmBlendShapeProxy.AccumulateValue(BlendShapeKey.CreateFromPreset(BlendShapePreset.LookUp), gazeFactor.x * lookUpDown); } else { - proxy.AccumulateValue(BlendShapeKey.CreateFromPreset(BlendShapePreset.LookDown), -gazeFactor.x * lookUpDown); + vrmBlendShapeProxy.AccumulateValue(BlendShapeKey.CreateFromPreset(BlendShapePreset.LookDown), -gazeFactor.x * lookUpDown); } if (lookLeftRight > 0f) { - proxy.AccumulateValue(BlendShapeKey.CreateFromPreset(BlendShapePreset.LookLeft), gazeFactor.y * lookLeftRight); + vrmBlendShapeProxy.AccumulateValue(BlendShapeKey.CreateFromPreset(BlendShapePreset.LookLeft), gazeFactor.y * lookLeftRight); } else { - proxy.AccumulateValue(BlendShapeKey.CreateFromPreset(BlendShapePreset.LookRight), -gazeFactor.y * lookLeftRight); + vrmBlendShapeProxy.AccumulateValue(BlendShapeKey.CreateFromPreset(BlendShapePreset.LookRight), -gazeFactor.y * lookLeftRight); } } } else { + //vrmLookAtHead.UpdateType = VRM.UpdateType.None; + //vrmLookAtHead.RaiseYawPitchChanged(gazeFactor.y * lookLeftRight, gazeFactor.x * lookUpDown); if (rightEye != null) rightEye.localRotation = Quaternion.identity; if (leftEye != null) leftEye.localRotation = Quaternion.identity; if (gazeTracking) { - Quaternion rotation = Quaternion.Slerp(Quaternion.identity, Quaternion.AngleAxis(-gazeFactor.x * gazeStrength * lookUpDown, Vector3.right) * Quaternion.AngleAxis(-gazeFactor.y * gazeStrength * lookLeftRight, Vector3.up), blendShapeWeight); + Quaternion rotation = Quaternion.AngleAxis(-gazeFactor.x * gazeStrength * lookUpDown, Vector3.right) * Quaternion.AngleAxis(-gazeFactor.y * gazeStrength * lookLeftRight, Vector3.up); if (rightEye != null) rightEye.localRotation = rotation; if (leftEye != null) @@ -1553,8 +1023,7 @@ public class OpenSeeVRMDriver : MonoBehaviour { if (autoBlink || only30Points) { if (currentExpressionEnableBlinking) { float blink = eyeBlinker.Blink(); - if (!useCameraPerfectSync || ! proxy.HasPerfectSync()) - proxy.AccumulateValue(BlendShapeKey.CreateFromPreset(BlendShapePreset.Blink), blink, 1); + vrmBlendShapeProxy.AccumulateValue(BlendShapeKey.CreateFromPreset(BlendShapePreset.Blink), blink); } } else if (openSeeExpression != null && openSeeExpression.openSee != null && openSeeData != null) { if (!currentExpressionEnableBlinking) @@ -1572,8 +1041,7 @@ public class OpenSeeVRMDriver : MonoBehaviour { if (!(wasLookingDown > 0f)) eyeBlinker.Blink(); float blink = eyeBlinker.Blink(); - if (!useCameraPerfectSync || ! proxy.HasPerfectSync()) - proxy.AccumulateValue(BlendShapeKey.CreateFromPreset(BlendShapePreset.Blink), blink); + vrmBlendShapeProxy.AccumulateValue(BlendShapeKey.CreateFromPreset(BlendShapePreset.Blink), blink); return; } @@ -1590,14 +1058,12 @@ public class OpenSeeVRMDriver : MonoBehaviour { right = tmp; } - if (!useCameraPerfectSync || !proxy.HasPerfectSync()) { - if (linkBlinks && !allowWinking) { - float v = Mathf.Max(left, right); - proxy.AccumulateValue(BlendShapeKey.CreateFromPreset(BlendShapePreset.Blink), v); - } else { - proxy.AccumulateValue(BlendShapeKey.CreateFromPreset(BlendShapePreset.Blink_R), right); - proxy.AccumulateValue(BlendShapeKey.CreateFromPreset(BlendShapePreset.Blink_L), left); - } + if (linkBlinks && !allowWinking) { + float v = Mathf.Max(left, right); + vrmBlendShapeProxy.AccumulateValue(BlendShapeKey.CreateFromPreset(BlendShapePreset.Blink), v); + } else { + vrmBlendShapeProxy.AccumulateValue(BlendShapeKey.CreateFromPreset(BlendShapePreset.Blink_R), right); + vrmBlendShapeProxy.AccumulateValue(BlendShapeKey.CreateFromPreset(BlendShapePreset.Blink_L), left); } if (openSeeData != null && lastBlink < openSeeData.time) { @@ -1641,10 +1107,8 @@ public class OpenSeeVRMDriver : MonoBehaviour { right = left; if (linkBlinks) { - if (Mathf.Abs(right - left) < smartWinkThreshold || !allowWinking) { + if (Mathf.Abs(right - left) < 0.95 || !allowWinking) { float v = Mathf.Max(left, right); - if (v < 0.3f) - v = Mathf.Min(left, right); left = v; right = v; } @@ -1733,7 +1197,6 @@ public class OpenSeeVRMDriver : MonoBehaviour { } public void InitializeLipSync() { - #if WINDOWS_BUILD active = false; lastAudioTime = -1f; if (catsData == null) @@ -1792,7 +1255,6 @@ public class OpenSeeVRMDriver : MonoBehaviour { partialAudio = new float[1024 * channels]; lastPos = 0; active = true; - #endif } float[] ReadMic() { @@ -1824,7 +1286,6 @@ public class OpenSeeVRMDriver : MonoBehaviour { } void ProcessBuffer(float[] buffer) { - #if WINDOWS_BUILD if (buffer == null) return; @@ -1894,11 +1355,9 @@ public class OpenSeeVRMDriver : MonoBehaviour { Array.Copy(buffer, bufferPos, partialAudio, partialPos, buffer.Length - bufferPos); partialPos += (buffer.Length - bufferPos) / channels; } - #endif } void OnAudioFilterRead(float[] data, int channels) { - #if WINDOWS_BUILD if (isCanned) { if (channels > 3) { Debug.Log("Audio with more than 3 channels is not supported."); @@ -1916,11 +1375,9 @@ public class OpenSeeVRMDriver : MonoBehaviour { if (isCanned) ProcessBuffer(buffer); } - #endif } void ReadAudio() { - #if WINDOWS_BUILD if (lastAudioTime >= 0f && Time.time > lastAudioTime + 3f && lipSync) { Debug.Log("Audio device might have disappeared, reinitializing lip sync."); InitializeLipSync(); @@ -1936,11 +1393,9 @@ public class OpenSeeVRMDriver : MonoBehaviour { return; if (!isCanned) ProcessBuffer(buffer); - #endif } void CreateContext() { - #if WINDOWS_BUILD lock (this) { if (context == 0) { if (OVRLipSync.CreateContext(ref context, provider) != OVRLipSync.Result.Success) { @@ -1949,30 +1404,10 @@ public class OpenSeeVRMDriver : MonoBehaviour { } } } - #endif } void Start() { InitExpressionMap(); - proxy = new OpenSeeBlendShapeProxy(this); - humanBodyBones = (HumanBodyBones[])Enum.GetValues(typeof(HumanBodyBones)); - humanBodyBoneTransforms = new Transform[humanBodyBones.Length]; - humanBodyBoneRotations = new Quaternion[humanBodyBones.Length]; - } - - public void SetProxyValues(Dictionary dict) { - foreach (var kv in dict) { - proxy.AccumulateValue(kv.Key, kv.Value, 1f); - } - } - - public void SetExternalPerfectSync(Dictionary blendshapes, float time) { - if (blendshapes == null) { - proxy.ClearPerfectSync(); - return; - } - foreach (var entry in blendshapes) - proxy.SetPerfectSync(entry.Key, entry.Value, time, 1f); } void RunUpdates() { @@ -1985,47 +1420,33 @@ public class OpenSeeVRMDriver : MonoBehaviour { InitializeLipSync(); initializeLipSync = false; } - proxy.SetWeight(blendShapeWeight); - proxy.Clear(); - FindFaceMesh(); - if (!skipApply) - UpdateExpression(); - if (!skipApply) - BlinkEyes(); - bool doMouthTracking = true; - #if WINDOWS_BUILD - ReadAudio(); - if (lipSync) { - if (!skipApply) - doMouthTracking = ApplyVisemes(); + if (vrmBlendShapeProxy != null) { + foreach (var pair in vrmBlendShapeProxy.GetValues()) { + vrmBlendShapeProxy.ImmediatelySetValue(pair.Key, 0f); + } } - #endif - if (doMouthTracking && !skipApply) + FindFaceMesh(); + UpdateExpression(); + BlinkEyes(); + ReadAudio(); + bool doMouthTracking = true; + if (lipSync) { + doMouthTracking = ApplyVisemes(); + } + if (doMouthTracking) ApplyMouthShape(); - if (!skipApply) - UpdatePerfectSync(); - if (!skipApply && vrmBlendShapeProxy != null && browClips == null) - proxy.Apply(); - if (!skipApply) - UpdateBrows(); - if (!skipApply && vrmBlendShapeProxy != null && browClips != null) - proxy.Apply(); + if (vrmBlendShapeProxy != null && browClips == null) + vrmBlendShapeProxy.Apply(); + UpdateBrows(); + if (vrmBlendShapeProxy != null && browClips != null) + vrmBlendShapeProxy.Apply(); } void LateUpdate() { - if (!skipApplyJaw && jawBone != null && jawBoneAnimation != null && !haveJawParameter) { - jawBone.localRotation = jawRotation; - } - if (!skipApplyEyes && gazeTracking && !only30Points) { + if (gazeTracking && !only30Points) UpdateGaze(); - } - // If blendshapes are received over VMC, apply expressions afterwards if they should be applied - if (skipApply && stillApplyExpressions) { - UpdateExpression(); - } - proxy.Apply(); } - + void FixedUpdate() { if (openSeeIKTarget.fixedUpdate) { RunUpdates(); @@ -2035,9 +1456,7 @@ public class OpenSeeVRMDriver : MonoBehaviour { void Update() { fakeTimeTime = Time.time; if (inited && lastSmoothing != smoothAmount) { - #if WINDOWS_BUILD OVRLipSync.SendSignal(context, OVRLipSync.Signals.VisemeSmoothing, smoothAmount, 0); - #endif lastSmoothing = smoothAmount; } if (!openSeeIKTarget.fixedUpdate) { @@ -2046,7 +1465,6 @@ public class OpenSeeVRMDriver : MonoBehaviour { } void DestroyContext() { - #if WINDOWS_BUILD active = false; lock (this) { if (context != 0) { @@ -2056,27 +1474,9 @@ public class OpenSeeVRMDriver : MonoBehaviour { context = 0; } } - #endif } void OnDestroy() { DestroyContext(); } - - public void SetAnimateJawBone(bool value) { - animateJawBone = value; - } - - public void SetSmartWinkThreshold(float v) { - smartWinkThreshold = v; - } - - public void SetGazeSmoothing(float v) { - gazeSmoothing = v; - } - - public void SetVisemeNormalization(bool v) { - visemeNormalization = v; - } - } \ No newline at end of file diff --git a/Examples/OpenSeeWebcamInfo.cs b/Examples/OpenSeeWebcamInfo.cs index 6663f28..242931e 100644 --- a/Examples/OpenSeeWebcamInfo.cs +++ b/Examples/OpenSeeWebcamInfo.cs @@ -8,6 +8,10 @@ using System.Collections; using System.Collections.Generic; using UnityEngine; +// To use this, add the following entry to the dependencies in Packages\manifest.json: +// "com.unity.nuget.newtonsoft-json": "2.0.0" +using Newtonsoft.Json; + namespace OpenSee { [Serializable] @@ -57,25 +61,15 @@ public class OpenSeeWebcam { public List prettyCaps = null; private List> splitCaps = null; - - bool ge(bool a, bool b) { - return a || (!a && !b); - } private int CompareCaps(OpenSeeWebcamCapability a, OpenSeeWebcamCapability b) { - int aRes = a.minCX * a.minCY; - int bRes = b.minCX * b.minCY; - bool aGoodFps = a.minInterval <= 670000; - bool bGoodFps = a.minInterval <= 670000; - bool aGoodRes = aRes >= 850000 && aRes <= 2200000; - bool bGoodRes = bRes >= 850000 && bRes <= 2200000; - if (a.rating < b.rating && ge(aGoodFps, bGoodFps) && ge(aGoodRes, bGoodRes)) + if (a.minCX * a.minCY > b.minCX * b.minCY) return -1; - if (a.rating > b.rating && ge(bGoodFps, aGoodFps) && ge(bGoodRes, aGoodRes)) + if (a.minCX * a.minCY < b.minCX * b.minCY) return 1; - if (aRes > bRes && ge(aGoodFps, bGoodFps) && ge(aGoodRes, bGoodRes)) + if (a.rating < b.rating) return -1; - if (aRes < bRes && ge(bGoodFps, aGoodFps) && ge(bGoodRes, aGoodRes)) + if (a.rating > b.rating) return 1; if (a.minInterval < b.minInterval) return -1; @@ -185,16 +179,10 @@ public class OpenSeeWebcamInfo : MonoBehaviour { private static extern void bm_get_json_x86([Out] StringBuilder namebuffer, int bufferlength); #endregion - [Serializable] - public class OpenSeeWebcamList { - public List list; - } - public List cameras; - public bool dumpJson = false; - - private static bool dumpJsonStatic = false; + private bool initialized = false; + static private string ListCameraDetails_x64() { System.IntPtr cap = create_capture_x64(); int length = get_json_length_x64(cap); @@ -227,42 +215,35 @@ public class OpenSeeWebcamInfo : MonoBehaviour { return buffer.ToString(); } - static public List ListCameraDetails(bool includeBlackMagic) { - string jsonData = null; - string bmJsonData = null; + static public List ListCameraDetails() { + string jsonData; + string bmJsonData; if (Environment.Is64BitProcess) { jsonData = ListCameraDetails_x64(); - if (includeBlackMagic) - bmJsonData = ListBlackMagicDetails_x64(); + bmJsonData = ListBlackMagicDetails_x64(); } else { jsonData = ListCameraDetails_x86(); - if (includeBlackMagic) - bmJsonData = ListBlackMagicDetails_x86(); + bmJsonData = ListBlackMagicDetails_x86(); } - if (dumpJsonStatic) { - UnityEngine.Debug.Log("Camera JSON: " + jsonData); - if (includeBlackMagic) - UnityEngine.Debug.Log("Blackmagic JSON: " + bmJsonData); - } - List details = JsonUtility.FromJson("{\"list\":" + jsonData + "}").list; + List details = JsonConvert.DeserializeObject>(jsonData); foreach (var cam in details) cam.type = OpenSeeWebcamType.DirectShow; - if (includeBlackMagic) { - List bmDetails = JsonUtility.FromJson("{\"list\":" + bmJsonData + "}").list; - foreach (var cam in bmDetails) - cam.type = OpenSeeWebcamType.Blackmagic; - details.AddRange(bmDetails); - } + List bmDetails = JsonConvert.DeserializeObject>(bmJsonData); + foreach (var cam in bmDetails) + cam.type = OpenSeeWebcamType.Blackmagic; + details.AddRange(bmDetails); return details; } void Start() { - Initialize(false); + Initialize(); } - public void Initialize(bool includeBlackMagic) { - dumpJsonStatic = dumpJson; - cameras = ListCameraDetails(includeBlackMagic); + public void Initialize() { + if (initialized) + return; + initialized = true; + cameras = ListCameraDetails(); foreach (var camera in cameras) camera.GetPrettyCapabilities(); } diff --git a/Images/Points.png b/Images/Points.png deleted file mode 100644 index 0bc8a07..0000000 Binary files a/Images/Points.png and /dev/null differ diff --git a/README.md b/README.md index 4d17be5..31a9e5f 100644 --- a/README.md +++ b/README.md @@ -2,7 +2,7 @@ # Overview -**Note**: This is a tracking library, **not** a stand-alone avatar puppeteering program. I'm also working on [VSeeFace](https://www.vseeface.icu/), which allows animating [VRM](https://vrm.dev/en/how_to_make_vrm/) and [VSFAvatar](https://www.youtube.com/watch?v=jhQ8DF87I5I) 3D models by using OpenSeeFace tracking. [VTube Studio](https://denchisoft.com/) uses OpenSeeFace for webcam based tracking to animate Live2D models. A renderer for the Godot engine can be found [here](https://github.com/virtual-puppet-project/vpuppr). +**Note**: This is a tracking library, **not** a stand-alone avatar puppeteering program. I'm also working on [such](https://www.vseeface.icu/) an application, which is currently in a public beta. This project implements a facial landmark detection model based on MobileNetV3. @@ -10,20 +10,14 @@ As Pytorch 1.3 CPU inference speed on Windows is very low, the model was convert If anyone is curious, the name is a silly pun on the open seas and seeing faces. There's no deeper meaning. +[Unity sample video](https://twitter.com/emiliana_vt/status/1210622149314203648) | [Sample video](https://www.youtube.com/watch?v=AOPHiAp9DBE) | [Sample video](https://www.youtube.com/watch?v=-cBSuHGdBWQ) | [Model comparison](https://www.youtube.com/watch?v=yMcJszUy7FA) + +These sample videos use older versions of the tracking models. Tracking accuracy of the current models is better. + An up to date sample video can be found [here](https://www.youtube.com/watch?v=AaNap_ud_3I&vq=hd1080), showing the default tracking model's performance under different noise and light levels. -# Tracking quality - -Since the landmarks used by OpenSeeFace are a bit different from those used by other approaches (they are close to iBUG 68, with two less points in the mouth corners and quasi-3D face contours instead of face contours that follow the visible outline) it is hard to numerically compare its accuracy to that of other approaches found commonly in scientific literature. The tracking performance is also more optimized for making landmarks that are useful for animating an avatar than for exactly fitting the face image. For example, as long as the eye landmarks show whether the eyes are opened or closed, even if their location is somewhat off, they can still be useful for this purpose. - -From general observation, OpenSeeFace performs well in adverse conditions (low light, high noise, low resolution) and keeps tracking faces through a very wide range of head poses with relatively high stability of landmark positions. Compared to MediaPipe, OpenSeeFace landmarks remain more stable in challenging conditions and it accurately represents a wider range of mouth poses. However, tracking of the eye region can be less accurate. - -I ran OpenSeeFace on a sample clip from the video presentation for [3D Face Reconstruction with Dense Landmarks](https://microsoft.github.io/DenseLandmarks/) by Wood et al. to compare it to MediaPipe and their approach. You can watch the result [here](https://www.vseeface.icu/assets/media/OSFMediaPipe3DFR.mp4). - # Usage -A sample Unity project for VRM based avatar animation can be found [here](https://github.com/emilianavt/OpenSeeFaceSample). - The face tracking itself is done by the `facetracker.py` Python 3.7 script. It is a commandline program, so you should start it manually from cmd or write a batch file to start it. If you downloaded a release and are on Windows, you can run the `facetracker.exe` inside the `Binary` folder without having Python installed. You can also use the `run.bat` inside the `Binary` folder for a basic demonstration of the tracker. The script will perform the tracking on webcam input or video file and send the tracking data over UDP. This design also allows tracking to be done on a separate PC from the one who uses the tracking information. This can be useful to enhance performance and to avoid accidentially revealing camera footage. @@ -38,8 +32,6 @@ A simple demonstration can be achieved by creating a new scene in Unity, adding python facetracker.py --visualize 3 --pnp-points 1 --max-threads 4 -c video.mp4 -__Note__: If dependencies were installed using [poetry](https://python-poetry.org/), the commands have to be executed from a `poetry shell` or have to be prefixed with `poetry run`. - This way the tracking script will output its own tracking visualization while also demonstrating the transmission of tracking data to Unity. The included `OpenSeeLauncher` component allows starting the face tracker program from Unity. It is designed to work with the pyinstaller created executable distributed in the binary release bundles. It provides three public API functions: @@ -101,7 +93,7 @@ Four pretrained face landmark models are included. Using the `--model` switch, i FPS measurements are from running on one core of my CPU. -Pytorch weights for use with `model.py` can be found [here](https://mega.nz/file/vvYXlYQT#h7FpEg4tmOCJNxjpsDEw0JomJIkVGKwrt4OUV0RNDDU). Some unoptimized ONNX models can be found [here](https://github.com/emilianavt/OpenSeeFace/issues/48). +Pytorch weights for use with `model.py` can be found [here](https://mega.nz/file/vvYXlYQT#h7FpEg4tmOCJNxjpsDEw0JomJIkVGKwrt4OUV0RNDDU). # Results @@ -113,6 +105,12 @@ Pytorch weights for use with `model.py` can be found [here](https://mega.nz/file More samples: [Results3.png](https://raw.githubusercontent.com/emilianavt/OpenSeeFace/master/Images/Results3.png), [Results4.png](https://raw.githubusercontent.com/emilianavt/OpenSeeFace/master/Images/Results4.png) +Here's an informal [comparison](https://raw.githubusercontent.com/emilianavt/OpenSeeFace/master/Images/3DDFA_V2.jpg) with [3DDFA_V2](https://github.com/cleardusk/3DDFA_V2) on five arbitrary, non-cherry picked examples from my test data: + +![3DDFA_V2_800.png](https://raw.githubusercontent.com/emilianavt/OpenSeeFace/master/Images/3DDFA_V2_800.jpg) + +Please ignore the blue eye points in the OpenSeeFace images as they are not actually part of the tracking results. + ## Face detection The landmark model is quite robust with respect to the size and orientation of the faces, so the custom face detection model gets away with rougher bounding boxes than other approaches. It has a favorable speed to accuracy ratio for the purposes of this project. @@ -129,8 +127,9 @@ When distributing it, you should also distribute the `Licenses` folder along wit The release builds contain a custom build of ONNX Runtime without telemetry. -# Dependencies (Python 3.6 - 3.9) +# Dependencies +* Python 3.7 * ONNX Runtime * OpenCV * Pillow @@ -140,22 +139,6 @@ The required libraries can be installed using pip: pip install onnxruntime opencv-python pillow numpy -Alternatively poetry can be used to -install all dependencies for this project in a separate virtual env: - - poetry install - -# Dependencies - -* onnxruntime -* OpenCV -* Pillow -* Numpy - -The required libraries can be installed using pip: - - pip install onnxruntime opencv-python pillow numpy - # References ## Training dataset @@ -181,8 +164,6 @@ Additional training has been done on the WFLW dataset after reducing it to 66 po For the training the gaze and blink detection model, the [MPIIGaze](https://www.mpi-inf.mpg.de/departments/computer-vision-and-machine-learning/research/gaze-based-human-computer-interaction/appearance-based-gaze-estimation-in-the-wild/) dataset was used. Additionally, around 125000 synthetic eyes generated with [UnityEyes](https://www.cl.cam.ac.uk/research/rainbow/projects/unityeyes/) were used during training. -It should be noted that additional custom data was also used during the training process and that the reference landmarks from the original datasets have been modified in certain ways to address various issues. It is likely not possible to reproduce these models with just the original LS3D-W and WFLW datasets, however the additional data is not redistributable. - The heatmap regression based face detection model was trained on random 224x224 crops from the WIDER FACE dataset. @inproceedings{yang2016wider, diff --git a/Unity/OpenSee.cs b/Unity/OpenSee.cs index 009972f..ef5f00a 100644 --- a/Unity/OpenSee.cs +++ b/Unity/OpenSee.cs @@ -24,8 +24,6 @@ public class OpenSee : MonoBehaviour { [Tooltip("This contains the actual tracking data")] public OpenSeeData[] trackingData = null; - public bool listening { get; private set; } = false; - [HideInInspector] public float maxFit3DError = 100f; @@ -41,9 +39,9 @@ public class OpenSee : MonoBehaviour { public float rightEyeOpen; [Tooltip("This field tells you how likely it is that the left eye is open.")] public float leftEyeOpen; - [Tooltip("This field contains the rotation of the right eyeball.")] + [Tooltip("This field tells you how likely it is that the right eye is open.")] public Quaternion rightGaze; - [Tooltip("This field contains the rotation of the left eyeball.")] + [Tooltip("This field tells you how likely it is that the left eye is open.")] public Quaternion leftGaze; [Tooltip("This field tells you if 3D points have been successfully estimated from the 2D points. If this is false, do not rely on pose or 3D data.")] public bool got3DPoints; @@ -213,7 +211,6 @@ public class OpenSee : MonoBehaviour { void performReception() { EndPoint senderRemote = new IPEndPoint(IPAddress.Any, 0); - listening = true; while (!stopReception) { try { int receivedBytes = socket.ReceiveFrom(buffer, SocketFlags.None, ref senderRemote); diff --git a/Unity/OpenSeeIKTarget.cs b/Unity/OpenSeeIKTarget.cs index 4f775f8..dafc7c2 100644 --- a/Unity/OpenSeeIKTarget.cs +++ b/Unity/OpenSeeIKTarget.cs @@ -10,16 +10,12 @@ public class OpenSeeIKTarget : MonoBehaviour public OpenSee openSee; [Tooltip("When this is set to another game object, its kinematic interpolation component will get updated from values of this.")] public OpenSeeKinematicInterpolation kinematicInterpolation; - [Tooltip("When set, the this object will follow the specified transform instead and automatically recalibrate based on it.")] - public Transform externalTarget = null; [Tooltip("This can be used to skip the first few tracking frames.")] public int skipFirst = 5; [Tooltip("When set to true, the next rotation and translation values will be set as zero rotation and zero translation.")] public bool calibrate = true; [Tooltip("This sets which face id to look for in the OpenSee data.")] public int faceId = 0; - [Tooltip("When enabled, the IK target will not move up and down.")] - public bool preventVerticalMotion = false; [Tooltip("When this is enabled, rotations and movement are mirrored.")] public bool mirrorMotion = false; [Tooltip("Often, the translation vector's scale is too high. Setting this somewhere between 0.05 to 0.3 seems stabilize things, but it also reduces the range of motion.")] @@ -27,6 +23,8 @@ public class OpenSeeIKTarget : MonoBehaviour [Tooltip("This smoothed out the detected motion. Values can be between 0 (no smoothing) and 1 (no motion). The appropriate value probably depends on the camera's frame rate.")] [Range(0, 1)] public float smooth = 0.2f; + [Tooltip("When set to true, a Kalman filter is used for smoothing.")] + public bool kalman = false; [Tooltip("When enabled, tracking will lag by one video capture frame, but the captured motion information is interpolated between frames, making things look smoother and less jittery and jumpy.")] public bool interpolate = true; [Tooltip("When set to true, the transform will be updated in FixedUpdate, otherwise it will be updated in Update.")] @@ -87,7 +85,17 @@ public class OpenSeeIKTarget : MonoBehaviour private bool skippedPosition = false; private float skipStartTimePosition = -1f; - private Transform lastExternalTarget = null; + // Kalman + private float frameTime = 0f; + private bool kalmanInit = false; + private float kalmanSmooth = -1f; + private KF kalmanPVX; + private KF kalmanPVY; + private KF kalmanPVZ; + private KF kalmanRVX; + private KF kalmanRVY; + private KF kalmanRVZ; + private Vector3 kalmanLastRot = Vector3.zero; public void Calibrate() { calibrate = true; @@ -111,11 +119,30 @@ public class OpenSeeIKTarget : MonoBehaviour } Vector3 FilterPos(Vector3 a, Vector3 b) { - return Vector3.Lerp(a, b, 1f - smooth); + if (!kalman || frameTime > 1f) + return Vector3.Lerp(a, b, 1f - smooth); + else { + Vector3 v = (b - a) / frameTime; + v.x = kalmanPVX.Update(v.x); + v.y = kalmanPVY.Update(v.y); + v.z = kalmanPVZ.Update(v.z); + return a + v * frameTime; + } } Quaternion FilterRot(Quaternion a, Quaternion b) { - return Quaternion.Lerp(a, b, 1f - smooth); + if (!kalman || frameTime > 1f) + return Quaternion.Lerp(a, b, 1f - smooth); + else { + Vector3 rotA = PrettyEuler(kalmanLastRot, a.eulerAngles); + Vector3 rotB = PrettyEuler(rotA, b.eulerAngles); + kalmanLastRot = rotA; + Vector3 v = Mathf.Deg2Rad * (rotB - rotA) / frameTime; + v.x = kalmanRVX.Update(v.x); + v.y = kalmanRVY.Update(v.y); + v.z = kalmanRVZ.Update(v.z); + return Quaternion.Euler(rotA + Mathf.Rad2Deg * v * frameTime); + } } void Interpolate() { @@ -139,34 +166,44 @@ public class OpenSeeIKTarget : MonoBehaviour void RunUpdate() { var openSeeData = openSee.GetOpenSeeData(faceId); - Quaternion convertedQuaternion; - Vector3 t; - Vector3 convertedTranslation; - - if (externalTarget == null) { - if (openSeeData == null || openSeeData.fit3DError > openSee.maxFit3DError) + if (openSeeData == null || openSeeData.fit3DError > openSee.maxFit3DError) + return; + if (openSeeData.time > updated) { + frameTime = (float)(openSeeData.time - updated); + updated = openSeeData.time; + trackingFrames++; + if (trackingFrames < skipFirst) return; - if (openSeeData.time > updated) { - updated = openSeeData.time; - trackingFrames++; - if (trackingFrames < skipFirst) - return; - } else { - Interpolate(); - return; - } - - convertedQuaternion = new Quaternion(-openSeeData.rawQuaternion.y, -openSeeData.rawQuaternion.x, openSeeData.rawQuaternion.z, openSeeData.rawQuaternion.w); - t = openSeeData.translation; - t.x = -t.x; - t.z = -t.z; - convertedTranslation = new Vector3(t.x, t.y, t.z); } else { - convertedQuaternion = externalTarget.localRotation; - convertedTranslation = externalTarget.localPosition; - t = convertedTranslation; + Interpolate(); + return; } + if (!kalmanInit) { + kalmanPVX = new KF(smooth); + kalmanPVY = new KF(smooth); + kalmanPVZ = new KF(smooth); + kalmanRVX = new KF(smooth); + kalmanRVY = new KF(smooth); + kalmanRVZ = new KF(smooth); + kalmanInit = true; + } + if (smooth != kalmanSmooth) { + kalmanPVX.SetSmoothness(smooth); + kalmanPVY.SetSmoothness(smooth); + kalmanPVZ.SetSmoothness(smooth); + kalmanRVX.SetSmoothness(smooth); + kalmanRVY.SetSmoothness(smooth); + kalmanRVZ.SetSmoothness(smooth); + kalmanSmooth = smooth; + } + + Quaternion convertedQuaternion = new Quaternion(-openSeeData.rawQuaternion.y, -openSeeData.rawQuaternion.x, openSeeData.rawQuaternion.z, openSeeData.rawQuaternion.w); + Vector3 t = openSeeData.translation; + t.x = -t.x; + t.z = -t.z; + Vector3 convertedTranslation = new Vector3(t.x, t.y, t.z); + // Check for angular outliers if (gotAccepted) { float angularDifference = Quaternion.Angle(lastAccepted, convertedQuaternion); @@ -230,9 +267,6 @@ public class OpenSeeIKTarget : MonoBehaviour outlierSkipsDistance += 1; return; } - - calibrate = calibrate || (externalTarget != lastExternalTarget); - lastExternalTarget = externalTarget; if (calibrate) { dR = convertedQuaternion; @@ -268,7 +302,7 @@ public class OpenSeeIKTarget : MonoBehaviour lastT = transform.localPosition; lastR = transform.localRotation; if (interpolateState > 0) { - currentT = FilterPos(transform.localPosition, (t - dT) * translationScale); + currentT = FilterPos(currentT, (t - dT) * translationScale); currentR = FilterRot(transform.localRotation, convertedQuaternion * dR); } else { currentT = (t - dT) * translationScale; @@ -276,21 +310,13 @@ public class OpenSeeIKTarget : MonoBehaviour } if (interpolateState < 2) interpolateState++; - + if (interpolate) { Interpolate(); } else { transform.localPosition = FilterPos(transform.localPosition, (t - dT) * translationScale); transform.localRotation = FilterRot(transform.localRotation, convertedQuaternion * dR); } - - if (preventVerticalMotion) { - currentT.y = 0f; - Vector3 pos = transform.localPosition; - pos.y = 0f; - transform.localPosition = pos; - } - if (kinematicInterpolation != null && kinematicInterpolation.gameObject != gameObject) { if (interpolate) kinematicInterpolation.UpdateKI(updated, currentT, currentR); @@ -310,10 +336,6 @@ public class OpenSeeIKTarget : MonoBehaviour translationOffset = new Vector3(dT.x, dT.y, dT.z); } } - - public void SetPreventVerticalMotion(bool v) { - preventVerticalMotion = v; - } void FixedUpdate() { @@ -326,6 +348,34 @@ public class OpenSeeIKTarget : MonoBehaviour if (!fixedUpdate) RunUpdate(); } + + class KF { + private float R, P, Q, x; + + public KF(float smooth) { + P = 1f; + x = 0f; + SetSmoothness(smooth); + } + + public void SetSmoothness(float smooth) { + P = 1f; + Q = 0.3f;// * (Mathf.Exp(3f * smooth) + 1f); + R = 0.000001f + Mathf.Exp(smooth * 5f); + } + + public float Update(float input) { + //x = x * A; + //P = A * P * A; + + float K = P / (P + R); + x = x + K * (input - x); + //Debug.Log("P = " + P + " 1-K = " + (1f - K)); + P = (1f - K) * P + Q; + + return x; + } + } } } \ No newline at end of file diff --git a/Unity/OpenSeeIKTarget.cs.meta b/Unity/OpenSeeIKTarget.cs.meta index dd50d92..94933f1 100644 --- a/Unity/OpenSeeIKTarget.cs.meta +++ b/Unity/OpenSeeIKTarget.cs.meta @@ -4,7 +4,7 @@ MonoImporter: externalObjects: {} serializedVersion: 2 defaultReferences: [] - executionOrder: -5 + executionOrder: -1 icon: {instanceID: 0} userData: assetBundleName: diff --git a/Unity/OpenSeeInterpolation.cs b/Unity/OpenSeeInterpolation.cs deleted file mode 100644 index 91980b9..0000000 --- a/Unity/OpenSeeInterpolation.cs +++ /dev/null @@ -1,232 +0,0 @@ -using System.Collections; -using System.Collections.Generic; -using UnityEngine; - -namespace OpenSee { - public class InterpolatedMap where V : InterpolatedValue, new() { - private Dictionary map = new Dictionary(); - private float clamp = 1f; - private float smoothing = 0f; - private bool gotDefault = false; - private U defaultValue; - - public void Clear() { - map.Clear(); - } - - public void SetSmoothing(float smoothing) { - this.smoothing = smoothing; - foreach (var entry in map) { - if (entry.Value != null) - entry.Value.SetSmoothing(smoothing); - } - } - - public void SetClamp(float clamp) { - this.clamp = clamp; - foreach (var entry in map) { - if (entry.Value != null) - entry.Value.SetClamp(clamp); - } - } - - void Prepare(T key) { - if (!map.ContainsKey(key)) { - map.Add(key, new V()); - map[key].SetSmoothing(smoothing); - map[key].SetClamp(clamp); - } - } - - public void SetValue(T key, U v) { - Prepare(key); - map[key].SetValue(v); - } - - public void Store(T key, U v) { - Prepare(key); - map[key].UpdateValue(v); - } - - public void Store(T key, U v, double nowT) { - if (!map.ContainsKey(key)) { - map.Add(key, new V()); - map[key].SetSmoothing(smoothing); - map[key].SetClamp(clamp); - } - map[key].UpdateValue(v, nowT); - } - - public U GetDefault() { - if (gotDefault) - return defaultValue; - V tmp = new V(); - defaultValue = tmp.GetDefault(); - return defaultValue; - } - - public bool Check(T key) { - return map.ContainsKey(key); - } - - public U Get(T key) { - if (!map.ContainsKey(key)) - return GetDefault(); - return map[key].Interpolate(); - } - } - - abstract public class InterpolatedValue { - private float interpolateT = 0f; - private float updateT = 0f; - private double lastT = 0f; - private double currentT = 0f; - private float clamp = 1f; - private float smoothing = 0f; - private int gotData = 0; - - private bool haveDefault = false; - private V defaultValue; - - private bool valueSet = false; - private V dataValue; - private V dataValueLast; - - abstract public V ValueLerpUnclamped(V a, V b, float t); - abstract public V GetBuiltinDefault(); - - public void SetDefault(V defaultValue) { - this.defaultValue = defaultValue; - haveDefault = true; - } - - public void ResetDefault() { - haveDefault = false; - } - - public V GetDefault() { - if (haveDefault) - return defaultValue; - return GetBuiltinDefault(); - } - - public void SetSmoothing(float smoothing) { - this.smoothing = smoothing; - } - - public void SetClamp(float clamp) { - this.clamp = clamp; - } - - public void SetValue(V v) { - dataValueLast = v; - dataValue = v; - valueSet = true; - } - - public InterpolatedValue(float smoothing = 0f, float clamp = 1f) { - this.smoothing = smoothing; - this.clamp = clamp; - } - - public void UpdateValue(V v) { - UpdateValue(v, Time.realtimeSinceStartup); - } - - public void UpdateValue(V v, double nowT) { - if (nowT < 0f) - return; - lock (this) { - if (nowT < currentT || gotData == 0) { - // Reinitialize - gotData = 1; - updateT = Time.time; - lastT = 0f; - currentT = nowT; - dataValueLast = GetDefault(); - dataValue = ValueLerpUnclamped(v, dataValueLast, smoothing); - } else if (nowT == currentT) { - // Change value - dataValue = ValueLerpUnclamped(v, dataValueLast, smoothing); - } else { - // Regular operation - updateT = Time.time; - lastT = currentT; - currentT = nowT; - if (gotData < 2) - gotData++; - dataValueLast = dataValue; - dataValue = ValueLerpUnclamped(v, dataValueLast, smoothing); - } - } - } - - public V Interpolate() { - lock (this) { - interpolateT = Time.time; - if (gotData < 2) { - if (valueSet) - return dataValue; - else - return GetDefault(); - } - float t = Mathf.Min((interpolateT - updateT) / (float)(currentT - lastT), clamp); - return ValueLerpUnclamped(dataValueLast, dataValue, t); - } - } - } - - public class InterpolatedColor : InterpolatedValue { - public override Color ValueLerpUnclamped(Color a, Color b, float t) { - return Color.LerpUnclamped(a, b, t); - } - public override Color GetBuiltinDefault() { - return Color.clear; - } - } - - public class InterpolatedQuaternion : InterpolatedValue { - public override Quaternion ValueLerpUnclamped(Quaternion a, Quaternion b, float t) { - return Quaternion.SlerpUnclamped(a, b, t); - } - public override Quaternion GetBuiltinDefault() { - return Quaternion.identity; - } - } - - public class InterpolatedVector2 : InterpolatedValue { - public override Vector2 ValueLerpUnclamped(Vector2 a, Vector2 b, float t) { - return Vector2.LerpUnclamped(a, b, t); - } - public override Vector2 GetBuiltinDefault() { - return Vector2.zero; - } - } - - public class InterpolatedVector3 : InterpolatedValue { - public override Vector3 ValueLerpUnclamped(Vector3 a, Vector3 b, float t) { - return Vector3.LerpUnclamped(a, b, t); - } - public override Vector3 GetBuiltinDefault() { - return Vector3.zero; - } - } - - public class InterpolatedVector4 : InterpolatedValue { - public override Vector4 ValueLerpUnclamped(Vector4 a, Vector4 b, float t) { - return Vector4.LerpUnclamped(a, b, t); - } - public override Vector4 GetBuiltinDefault() { - return Vector4.zero; - } - } - - public class InterpolatedFloat : InterpolatedValue { - public override float ValueLerpUnclamped(float a, float b, float t) { - return Mathf.LerpUnclamped(a, b, t); - } - public override float GetBuiltinDefault() { - return 0f; - } - } -} diff --git a/Unity/OpenSeeInterpolation.cs.meta b/Unity/OpenSeeInterpolation.cs.meta deleted file mode 100644 index a5eda33..0000000 --- a/Unity/OpenSeeInterpolation.cs.meta +++ /dev/null @@ -1,11 +0,0 @@ -fileFormatVersion: 2 -guid: d61e11f1b6900a7419383be1377f191b -MonoImporter: - externalObjects: {} - serializedVersion: 2 - defaultReferences: [] - executionOrder: 0 - icon: {instanceID: 0} - userData: - assetBundleName: - assetBundleVariant: diff --git a/Unity/OpenSeeKinematicInterpolation.cs b/Unity/OpenSeeKinematicInterpolation.cs index 7b347a8..99b7034 100644 --- a/Unity/OpenSeeKinematicInterpolation.cs +++ b/Unity/OpenSeeKinematicInterpolation.cs @@ -7,8 +7,6 @@ namespace OpenSee { public class OpenSeeKinematicInterpolation : MonoBehaviour { - public float interpolateClamp = 1f; - private Vector3 lastPos; private Vector3 lastPosV; private double lastT; @@ -31,19 +29,15 @@ public class OpenSeeKinematicInterpolation : MonoBehaviour private double updateT; private double interpolateT; - private int ready = 0; public void UpdateKI(double newT, Vector3 newPos, Quaternion newRot) { Interpolate(); - if (newT - currentT > 3f) - ready = 0; - currentPos = transform.localPosition; currentRot = OpenSeeIKTarget.PrettyEuler(currentRot, transform.localRotation.eulerAngles); float dTNow = (float)(interpolateT - updateT); - if (interpolateT - updateT > 0 || ready < 1) { - currentPosV = (currentPos - lastPos) / dT; - currentRotV = (currentRot - lastRot) / dT; + if (interpolateT - updateT > 0) { + currentPosV = (currentPos - lastPos) / dTNow; + currentRotV = (currentRot - lastRot) / dTNow; } else { currentPosV = Vector3.zero; currentRotV = Vector3.zero; @@ -70,8 +64,6 @@ public class OpenSeeKinematicInterpolation : MonoBehaviour coeffRotB = ((6f*(currentRotV * dT + dT * lastRotV - 2f * currentRot + 2f * lastRot)) / dTPow3)/6f; updateT = Time.time; - if (ready <= 2) - ready++; } float InterpolateValue(float dTNow, float dTNowPow2, float dTNowPow3, float a, float b, float x1, float x2, float v1, float v2) { @@ -80,12 +72,12 @@ public class OpenSeeKinematicInterpolation : MonoBehaviour void Interpolate() { interpolateT = Time.time; - if (interpolateT == updateT || ready <= 2) + if (interpolateT == updateT) return; float dTNow = (float)(interpolateT - updateT); if (dTNow >= dT) { - transform.localPosition = Vector3.LerpUnclamped(lastPos, currentPos, Mathf.Min((float)(dTNow / dT), interpolateClamp)); - transform.localEulerAngles = Vector3.LerpUnclamped(lastRot, currentRot, Mathf.Min((float)(dTNow / dT), interpolateClamp)); + transform.localPosition = Vector3.LerpUnclamped(lastPos, currentPos, Mathf.Min((float)(dTNow / dT), 2f)); + transform.localEulerAngles = Vector3.LerpUnclamped(lastRot, currentRot, Mathf.Min((float)(dTNow / dT), 2f)); } else { float dTNowPow2 = Mathf.Pow(dTNow, 2); float dTNowPow3 = Mathf.Pow(dTNow, 3); @@ -100,7 +92,7 @@ public class OpenSeeKinematicInterpolation : MonoBehaviour } } - public void Update() { + public void LateUpdate() { Interpolate(); } } diff --git a/Unity/OpenSeeKinematicInterpolation.cs.meta b/Unity/OpenSeeKinematicInterpolation.cs.meta index 1a31547..571dd6e 100644 --- a/Unity/OpenSeeKinematicInterpolation.cs.meta +++ b/Unity/OpenSeeKinematicInterpolation.cs.meta @@ -4,7 +4,7 @@ MonoImporter: externalObjects: {} serializedVersion: 2 defaultReferences: [] - executionOrder: -1 + executionOrder: 0 icon: {instanceID: 0} userData: assetBundleName: diff --git a/Unity/OpenSeeLauncher.cs b/Unity/OpenSeeLauncher.cs index 2fa8280..eb0bb32 100644 --- a/Unity/OpenSeeLauncher.cs +++ b/Unity/OpenSeeLauncher.cs @@ -51,14 +51,12 @@ public class OpenSeeLauncher : MonoBehaviour { public bool autoListCameras = false; [Tooltip("If this is enabled, no output from the tracker will be printed to the debug console. This cannot be changed while the tracker is running.")] public bool dontPrint = true; - [Tooltip("If enabled, the next available port within 500 starting after the one given on the OpenSee component will be used.")] - public bool dynamicPort = false; [Tooltip("The path to \"facetracker.exe\".")] public string exePath = "facetracker.exe"; [Tooltip("The path, where the .onnx model files can be found")] public string modelPath = "models\\"; [Tooltip("Additional options that should be passed to the face tracker.")] - public List commandlineOptions = new List(new string[] { "--silent", "1", "--max-threads", "1" }); + public List commandlineOptions = new List(new string[] { "--silent", "1", "--max-threads", "4" }); [Tooltip("This string will be appended at the end of the tracker options without quoting.")] public string extraOptions = ""; [Tooltip("If enabled, the tracker commandline option string will be logged with Debug.Log.")] @@ -297,27 +295,6 @@ public class OpenSeeLauncher : MonoBehaviour { List arguments = new List(); arguments.Add("--ip"); arguments.Add(ip); - - if (dynamicPort && !openSeeTarget.listening) { - System.Net.IPEndPoint[] inUse = System.Net.NetworkInformation.IPGlobalProperties.GetIPGlobalProperties().GetActiveUdpListeners(); - Array.Sort(inUse, delegate(System.Net.IPEndPoint a, System.Net.IPEndPoint b) { return a.Port.CompareTo(b.Port); }); - int port = openSeeTarget.listenPort + 1; - for (int i = 0; i < inUse.Length; i++) { - if (inUse[i].Port < port) - continue; - if (inUse[i].Port == port) { - if (port <= openSeeTarget.listenPort + 500 && port <= IPEndPoint.MaxPort) { - port++; - continue; - } else { - return false; - } - } - break; - } - openSeeTarget.listenPort = port; - } - arguments.Add("--port"); arguments.Add(openSeeTarget.listenPort.ToString()); arguments.Add("--model-dir"); diff --git a/Unity/OpenSeeShowPoints.cs b/Unity/OpenSeeShowPoints.cs index 64c2fe1..a990cca 100644 --- a/Unity/OpenSeeShowPoints.cs +++ b/Unity/OpenSeeShowPoints.cs @@ -18,7 +18,6 @@ public class OpenSeeShowPoints : MonoBehaviour { public bool showLines = false; public float lineWidth = 0.01f; public Material lineMaterial; - public bool receiveShadows = false; private OpenSee.OpenSeeData openSeeData; private GameObject[] gameObjects; @@ -47,7 +46,6 @@ public class OpenSeeShowPoints : MonoBehaviour { gameObjects[i].name = "Point " + (i + 1); if (material != null) gameObjects[i].GetComponent().material = material; - gameObjects[i].GetComponent().receiveShadows = receiveShadows; gameObjects[i].layer = gameObject.layer; gameObjects[i].transform.SetParent(transform); gameObjects[i].transform.localScale = new Vector3(0.025f, 0.025f, 0.025f); @@ -55,7 +53,6 @@ public class OpenSeeShowPoints : MonoBehaviour { GameObject cylinder = GameObject.CreatePrimitive(PrimitiveType.Cylinder); if (material != null) cylinder.GetComponent().material = material; - cylinder.GetComponent().receiveShadows = receiveShadows; cylinder.layer = gameObject.layer; cylinder.transform.SetParent(gameObjects[i].transform); cylinder.transform.localEulerAngles = new Vector3(90f, 0f, 0f); @@ -88,7 +85,6 @@ public class OpenSeeShowPoints : MonoBehaviour { lineRenderers[i].useWorldSpace = true; lineRenderers[i].generateLightingData = true; lineRenderers[i].material = lineMaterial; - lineRenderers[i].receiveShadows = receiveShadows; lineRenderers[i].widthMultiplier = lineWidth; lineRenderers[i].positionCount = 2; } @@ -177,7 +173,6 @@ public class OpenSeeShowPoints : MonoBehaviour { for (int i = 0; i < 66; i++) { Renderer renderer = gameObjects[i].GetComponent(); - renderer.receiveShadows = receiveShadows; renderer.material.SetColor("_Color", Color.Lerp(Color.red, Color.green, openSeeData.confidence[i])); float x = openSeeData.points[i].x; float y = -openSeeData.points[i].y; @@ -211,7 +206,7 @@ public class OpenSeeShowPoints : MonoBehaviour { Color color = Color.Lerp(Color.red, Color.green, Mathf.Lerp(0.5f, openSeeData.confidence[a], openSeeData.confidence[b])); lineRenderers[i].enabled = true; lineRenderers[i].widthMultiplier = lineWidth; - lineRenderers[i].receiveShadows = receiveShadows; + //lineRenderers[i].material = lineMaterial; lineRenderers[i].material.SetColor("_Color", color); lineRenderers[i].startColor = color; lineRenderers[i].endColor = color; diff --git a/Unity/Plugins/dshowcapture_x64.dll b/Unity/Plugins/dshowcapture_x64.dll index 88e3752..8dedd89 100644 Binary files a/Unity/Plugins/dshowcapture_x64.dll and b/Unity/Plugins/dshowcapture_x64.dll differ diff --git a/Unity/Plugins/dshowcapture_x86.dll b/Unity/Plugins/dshowcapture_x86.dll index 55222da..72f32d0 100644 Binary files a/Unity/Plugins/dshowcapture_x86.dll and b/Unity/Plugins/dshowcapture_x86.dll differ diff --git a/Unity/Plugins/libminibmcapture32.dll b/Unity/Plugins/libminibmcapture32.dll index 156b184..d1bfeb5 100644 Binary files a/Unity/Plugins/libminibmcapture32.dll and b/Unity/Plugins/libminibmcapture32.dll differ diff --git a/Unity/Plugins/libminibmcapture64.dll b/Unity/Plugins/libminibmcapture64.dll index a9139ba..9bf333d 100644 Binary files a/Unity/Plugins/libminibmcapture64.dll and b/Unity/Plugins/libminibmcapture64.dll differ diff --git a/dshowcapture.py b/dshowcapture.py index 515125c..34d1d44 100644 --- a/dshowcapture.py +++ b/dshowcapture.py @@ -14,11 +14,6 @@ def resolve(name): lib = None bm_lib = None bm_options = None -bm_enabled = False - -def set_bm_enabled(v): - global bm_enabled - bm_enabled = v def set_options(str): global bm_options @@ -34,20 +29,17 @@ class DShowCapture(): global lib global bm_lib global bm_options - global bm_enabled if lib is None or bm_lib is None: if platform.architecture()[0] == '32bit': dll_path = resolve(os.path.join("dshowcapture", "dshowcapture_x86.dll")) lib = cdll.LoadLibrary(dll_path) - if bm_enabled: - dll_path = resolve(os.path.join("dshowcapture", "libminibmcapture32.dll")) - bm_lib = cdll.LoadLibrary(dll_path) + dll_path = resolve(os.path.join("dshowcapture", "libminibmcapture32.dll")) + bm_lib = cdll.LoadLibrary(dll_path) else: dll_path = resolve(os.path.join("dshowcapture", "dshowcapture_x64.dll")) lib = cdll.LoadLibrary(dll_path) - if bm_enabled: - dll_path = resolve(os.path.join("dshowcapture", "libminibmcapture64.dll")) - bm_lib = cdll.LoadLibrary(dll_path) + dll_path = resolve(os.path.join("dshowcapture", "libminibmcapture64.dll")) + bm_lib = cdll.LoadLibrary(dll_path) # DirectShow lib.create_capture.restype = c_void_p @@ -71,18 +63,16 @@ class DShowCapture(): lib.destroy_capture.argtypes = [c_void_p] # Blackmagic - if bm_enabled: - bm_lib.start_capture_single.argtypes = [c_int, c_int, c_void_p] - bm_lib.read_frame_bgra32_blocking.argtypes = [c_char_p, c_int] - bm_lib.stop_capture_single.argtypes = [] - bm_lib.get_json_length.argtypes = [] - bm_lib.get_json.argtypes = [c_char_p, c_int] - if bm_options is not None: - bm_lib.set_options.argtypes = [c_char_p] - bm_lib.set_options(bm_options.encode()) + bm_lib.start_capture_single.argtypes = [c_int, c_int, c_void_p] + bm_lib.read_frame_bgra32_blocking.argtypes = [c_char_p, c_int] + bm_lib.stop_capture_single.argtypes = [] + bm_lib.get_json_length.argtypes = [] + bm_lib.get_json.argtypes = [c_char_p, c_int] + if not bm_options is None: + bm_lib.set_options.argtypes = [c_char_p] + bm_lib.set_options(bm_options.encode()) self.lib = lib - if bm_enabled: - self.bm_lib = bm_lib + self.bm_lib = bm_lib self.cap = lib.create_capture() self.name_buffer = create_string_buffer(255); self.buffer = None @@ -93,7 +83,7 @@ class DShowCapture(): self.type = None def __del__(self): - if self.buffer is not None: + if not self.buffer is None: del self.buffer del self.name_buffer self.destroy_capture() @@ -104,33 +94,31 @@ class DShowCapture(): def get_device(self, device_number): self.lib.get_device(self.cap, device_number, self.name_buffer, 255) - name_str = str(self.name_buffer.value.decode('utf8', 'surrogateescape')) + name_str = str(self.name_buffer.value.decode('utf8')) return name_str def get_info(self): - global bm_enabled # DirectShow json_length = self.lib.get_json_length(self.cap); json_buffer = create_string_buffer(json_length) self.lib.get_json(self.cap, json_buffer, json_length); - json_text = str(json_buffer.value.decode('utf8', 'surrogateescape')) + json_text = str(json_buffer.value.decode('utf8')) self.info = json.loads(json_text) for cam in self.info: cam["type"] = "DirectShow" cam["index"] = cam["id"] # Blackmagic - if bm_enabled: - json_length = self.bm_lib.get_json_length(); - json_buffer = create_string_buffer(json_length) - self.bm_lib.get_json(json_buffer, json_length); - json_text = str(json_buffer.value.decode('utf8', 'surrogateescape')) - bm_info = json.loads(json_text) - dshow_len = len(self.info) - for cam in bm_info: - cam["type"] = "Blackmagic" - cam["index"] = cam["id"] + dshow_len - self.info.extend(bm_info) + json_length = self.bm_lib.get_json_length(); + json_buffer = create_string_buffer(json_length) + self.bm_lib.get_json(json_buffer, json_length); + json_text = str(json_buffer.value.decode('utf8')) + bm_info = json.loads(json_text) + dshow_len = len(self.info) + for cam in bm_info: + cam["type"] = "Blackmagic" + cam["index"] = cam["id"] + dshow_len + self.info.extend(bm_info) return self.info @@ -154,7 +142,6 @@ class DShowCapture(): return ret; def capture_device_by_dcap(self, cam, dcap, width, height, fps): - global bm_enabled if not self.have_devices: self.get_devices() if self.info is None: @@ -163,7 +150,7 @@ class DShowCapture(): ret = False if self.info[cam]['type'] == "DirectShow": ret = self.lib.capture_device_by_dcap(self.cap, cam, dcap, width, height, fps) == 1 - elif bm_enabled and self.info[cam]['type'] == "Blackmagic": + elif self.info[cam]['type'] == "Blackmagic": ret = self.bm_lib.start_capture_single(self.info[cam]['id'], self.info[cam]['caps'][dcap]['bmModecode'], None) == 1 if ret: self.type = self.info[cam]['type'] @@ -176,7 +163,7 @@ class DShowCapture(): self.colorspace_internal = self.get_colorspace_internal() self.size = self.width * self.height * 4 * 4 self.buffer = create_frame_buffer(self.width, self.height, 4) - elif bm_enabled and self.type == "Blackmagic": + elif self.type == "Blackmagic": self.width = self.info[cam]['caps'][dcap]['minCX'] self.height = self.info[cam]['caps'][dcap]['minCY'] self.fps = int(10000000 / self.info[cam]['caps'][dcap]['minInterval']) @@ -237,12 +224,11 @@ class DShowCapture(): return self.lib.capturing(self.cap) == 1 def get_frame(self, timeout): - global bm_enabled if self.size is None: return None if self.type == "DirectShow": self.real_size = self.lib.get_frame(self.cap, timeout, self.buffer, self.size) - elif bm_enabled and self.type == "Blackmagic": + elif self.type == "Blackmagic": self.bm_lib.read_frame_bgra32_blocking(self.buffer, self.size) else: return None @@ -257,37 +243,34 @@ class DShowCapture(): if not self.flipped: img = cv2.flip(img, 0) return img - elif self.colorspace == 200 and self.real_size == (3 * self.height // 2) * self.width: + elif self.colorspace == 200: img = cv2.cvtColor(img.reshape((3 * self.height // 2,self.width,1)), cv2.COLOR_YUV2BGR_I420) - elif self.colorspace == 201 and self.real_size == (3 * self.height // 2) * self.width: + elif self.colorspace == 201: img = cv2.cvtColor(img.reshape((3 * self.height // 2,self.width,1)), cv2.COLOR_YUV2BGR_NV12) - elif self.colorspace == 202 and self.real_size == (3 * self.height // 2) * self.width: + elif self.colorspace == 202: img = cv2.cvtColor(img.reshape((3 * self.height // 2,self.width,1)), cv2.COLOR_YUV2BGR_YV12) - elif self.colorspace == 203 and self.real_size == self.height * self.width: + elif self.colorspace == 203: img = cv2.cvtColor(img.reshape((self.height,self.width,1)), cv2.COLOR_GRAY2BGR) - elif self.colorspace == 300 and self.real_size == self.height * self.width * 2: + elif self.colorspace == 300: img = cv2.cvtColor(img.reshape((self.height,self.width,2)), cv2.COLOR_YUV2BGR_YVYU) - elif self.colorspace == 301 and self.real_size == self.height * self.width * 2: + elif self.colorspace == 301: img = cv2.cvtColor(img.reshape((self.height,self.width,2)), cv2.COLOR_YUV2BGR_YUY2) - elif self.colorspace == 302 and self.real_size == self.height * self.width * 2: + elif self.colorspace == 302: img = cv2.cvtColor(img.reshape((self.height,self.width,2)), cv2.COLOR_YUV2BGR_UYVY) elif self.colorspace == 303: return None - elif self.colorspace == 400 and self.real_size > 4: + elif self.colorspace == 400: img = cv2.imdecode(img, cv2.IMREAD_COLOR); - else: - return None if self.flipped: img = cv2.flip(img, 0) return img def stop_capture(self): - global bm_enabled self.size = None self.real_size = None if self.type == "DirectShow": return self.lib.stop_capture(self.cap) - elif bm_enabled and self.type == "Blackmagic": + elif self.type == "Blackmagic": return self.bm_lib.stop_capture_single() != 0 return True @@ -329,7 +312,7 @@ if __name__ == "__main__": while True: img = cap.get_frame(1000) - if img is not None: + if not img is None: cv2.imshow("DShowCapture", img) if cv2.waitKey(1) & 0xFF == ord('q'): sys.exit(0) diff --git a/dshowcapture/dshowcapture_x64.dll b/dshowcapture/dshowcapture_x64.dll index e7f30fd..8dedd89 100644 Binary files a/dshowcapture/dshowcapture_x64.dll and b/dshowcapture/dshowcapture_x64.dll differ diff --git a/dshowcapture/dshowcapture_x86.dll b/dshowcapture/dshowcapture_x86.dll index 9eb7308..72f32d0 100644 Binary files a/dshowcapture/dshowcapture_x86.dll and b/dshowcapture/dshowcapture_x86.dll differ diff --git a/dshowcapture/libminibmcapture32.dll b/dshowcapture/libminibmcapture32.dll index 156b184..d1bfeb5 100644 Binary files a/dshowcapture/libminibmcapture32.dll and b/dshowcapture/libminibmcapture32.dll differ diff --git a/dshowcapture/libminibmcapture64.dll b/dshowcapture/libminibmcapture64.dll index a9139ba..9bf333d 100644 Binary files a/dshowcapture/libminibmcapture64.dll and b/dshowcapture/libminibmcapture64.dll differ diff --git a/facetracker.py b/facetracker.py index 205b2fb..44207d5 100644 --- a/facetracker.py +++ b/facetracker.py @@ -13,16 +13,12 @@ if os.name == 'nt': parser.add_argument("-a", "--list-dcaps", type=int, help="Set this to -1 to list all cameras and their available capabilities, set this to a camera id to list that camera's capabilities", default=None) parser.add_argument("-W", "--width", type=int, help="Set camera and raw RGB width", default=640) parser.add_argument("-H", "--height", type=int, help="Set camera and raw RGB height", default=360) - parser.add_argument("-D", "--dcap", type=int, help="Set which device capability line to use or -1 to use the default camera settings (FPS still need to be set separately)", default=None) - parser.add_argument("-B", "--blackmagic", type=int, help="When set to 1, special support for Blackmagic devices is enabled", default=0) + parser.add_argument("-F", "--fps", type=int, help="Set camera frames per second", default=24) + parser.add_argument("-D", "--dcap", type=int, help="Set which device capability line to use or -1 to use the default camera settings", default=None) else: parser.add_argument("-W", "--width", type=int, help="Set raw RGB width", default=640) parser.add_argument("-H", "--height", type=int, help="Set raw RGB height", default=360) -if sys.platform == 'linux': - parser.add_argument("--dformat", type=str, help="Set which device format to use (MJPG, YUYV, RGB3, ...)", default=None) -parser.add_argument("-F", "--fps", type=int, help="Set camera frames per second", default=24) parser.add_argument("-c", "--capture", help="Set camera ID (0, 1...) or video file", default="0") -parser.add_argument("-M", "--mirror-input", action="store_true", help="Process a mirror image of the input video") parser.add_argument("-m", "--max-threads", type=int, help="Set the maximum number of threads", default=1) parser.add_argument("-t", "--threshold", type=float, help="Set minimum confidence threshold for face tracking", default=None) parser.add_argument("-d", "--detection-threshold", type=float, help="Set minimum confidence threshold for face detection", default=0.6) @@ -35,16 +31,15 @@ parser.add_argument("--scan-every", type=int, help="Set after how many frames a parser.add_argument("--discard-after", type=int, help="Set the how long the tracker should keep looking for lost faces", default=10) parser.add_argument("--max-feature-updates", type=int, help="This is the number of seconds after which feature min/max/medium values will no longer be updated once a face has been detected.", default=900) parser.add_argument("--no-3d-adapt", type=int, help="When set to 1, the 3D face model will not be adapted to increase the fit", default=1) -parser.add_argument("--try-hard", type=int, help="When set to 1, the tracker will try harder to find a face", default=0) parser.add_argument("--video-out", help="Set this to the filename of an AVI file to save the tracking visualization as a video", default=None) parser.add_argument("--video-scale", type=int, help="This is a resolution scale factor applied to the saved AVI file", default=1, choices=[1,2,3,4]) parser.add_argument("--video-fps", type=float, help="This sets the frame rate of the output AVI file", default=24) parser.add_argument("--raw-rgb", type=int, help="When this is set, raw RGB frames of the size given with \"-W\" and \"-H\" are read from standard input instead of reading a video", default=0) parser.add_argument("--log-data", help="You can set a filename to which tracking data will be logged here", default="") parser.add_argument("--log-output", help="You can set a filename to console output will be logged here", default="") -parser.add_argument("--model", type=int, help="This can be used to select the tracking model. Higher numbers are models with better tracking quality, but slower speed, except for model 4, which is wink optimized. Models 1 and 0 tend to be too rigid for expression and blink detection. Model -2 is roughly equivalent to model 1, but faster. Model -3 is between models 0 and -1.", default=3, choices=[-3, -2, -1, 0, 1, 2, 3, 4]) +parser.add_argument("--model", type=int, help="This can be used to select the tracking model. Higher numbers are models with better tracking quality, but slower speed. Models 1 and 0 tend to be too rigid for expression and blink detection.", default=3, choices=[-1, 0, 1, 2, 3]) parser.add_argument("--model-dir", help="This can be used to specify the path to the directory containing the .onnx model files", default=None) -parser.add_argument("--gaze-tracking", type=int, help="When set to 1, gaze tracking is enabled, which makes things slightly slower", default=1) +parser.add_argument("--gaze-tracking", type=int, help="When set to 1, experimental blink detection and gaze tracking are enabled, which makes things slightly slower", default=1) parser.add_argument("--face-id-offset", type=int, help="When set, this offset is added to all face ids, which can be useful for mixing tracking data from multiple network sources", default=0) parser.add_argument("--repeat-video", type=int, help="When set to 1 and a video file was specified with -c, the tracker will loop the video until interrupted", default=0) parser.add_argument("--dump-points", type=str, help="When set to a filename, the current face 3D points are made symmetric and dumped to the given file when quitting the visualization with the \"q\" key", default="") @@ -62,12 +57,12 @@ class OutputLog(object): self.fh = fh self.output = output def write(self, buf): - if self.fh is not None: + if not self.fh is None: self.fh.write(buf) self.output.write(buf) self.flush() def flush(self): - if self.fh is not None: + if not self.fh is None: self.fh.flush() self.output.flush() output_logfile = None @@ -78,21 +73,19 @@ sys.stderr = OutputLog(output_logfile, sys.stderr) if os.name == 'nt': import dshowcapture - if args.blackmagic == 1: - dshowcapture.set_bm_enabled(True) - if args.blackmagic_options is not None: + if not args.blackmagic_options is None: dshowcapture.set_options(args.blackmagic_options) - if args.priority is not None: + if not args.priority is None: import psutil classes = [psutil.IDLE_PRIORITY_CLASS, psutil.BELOW_NORMAL_PRIORITY_CLASS, psutil.NORMAL_PRIORITY_CLASS, psutil.ABOVE_NORMAL_PRIORITY_CLASS, psutil.HIGH_PRIORITY_CLASS, psutil.REALTIME_PRIORITY_CLASS] p = psutil.Process(os.getpid()) p.nice(classes[args.priority]) -if os.name == 'nt' and (args.list_cameras > 0 or args.list_dcaps is not None): +if os.name == 'nt' and (args.list_cameras > 0 or not args.list_dcaps is None): cap = dshowcapture.DShowCapture() info = cap.get_info() unit = 10000000.; - if args.list_dcaps is not None: + if not args.list_dcaps is None: formats = {0: "Any", 1: "Unknown", 100: "ARGB", 101: "XRGB", 200: "I420", 201: "NV12", 202: "YV12", 203: "Y800", 300: "YVYU", 301: "YUY2", 302: "UYVY", 303: "HDYC (Unsupported)", 400: "MJPEG", 401: "H264" } for cam in info: if args.list_dcaps == -1: @@ -137,8 +130,8 @@ if args.benchmark > 0: model_base_path = get_model_base_path(args.model_dir) im = cv2.imread(os.path.join(model_base_path, "benchmark.bin"), cv2.IMREAD_COLOR) results = [] - for model_type in [3, 2, 1, 0, -1, -2, -3]: - tracker = Tracker(224, 224, threshold=0.1, max_threads=args.max_threads, max_faces=1, discard_after=0, scan_every=0, silent=True, model_type=model_type, model_dir=args.model_dir, no_gaze=(model_type == -1), detection_threshold=0.1, use_retinaface=0, max_feature_updates=900, static_model=True if args.no_3d_adapt == 1 else False) + for model_type in [3, 2, 1, 0, -1]: + tracker = Tracker(224, 224, threshold=0.1, max_threads=args.max_threads, max_faces=1, discard_after=0, scan_every=0, silent=True, model_type=model_type, model_dir=args.model_dir, no_gaze=(model_type < 0), detection_threshold=0.1, use_retinaface=0, max_feature_updates=900, static_model=True if args.no_3d_adapt == 1 else False) tracker.detected = 1 tracker.faces = [(0, 0, 224, 224)] total = 0.0 @@ -155,19 +148,18 @@ target_port = args.port if args.faces >= 40: print("Transmission of tracking data over network is not supported with 40 or more faces.") -fps = args.fps +fps = 0 dcap = None use_dshowcapture_flag = False if os.name == 'nt': + fps = args.fps dcap = args.dcap use_dshowcapture_flag = True if args.use_dshowcapture == 1 else False input_reader = InputReader(args.capture, args.raw_rgb, args.width, args.height, fps, use_dshowcapture=use_dshowcapture_flag, dcap=dcap) if args.dcap == -1 and type(input_reader) == DShowCaptureReader: fps = min(fps, input_reader.device.get_fps()) -elif sys.platform == 'linux' and args.dformat: - input_reader = InputReader(args.capture, args.raw_rgb, args.width, args.height, fps, dcap=args.dformat) else: - input_reader = InputReader(args.capture, args.raw_rgb, args.width, args.height, fps) + input_reader = InputReader(args.capture, args.raw_rgb, args.width, args.height, fps, use_dshowcapture=use_dshowcapture_flag) if type(input_reader.reader) == VideoReader: fps = 0 @@ -188,9 +180,9 @@ features = ["eye_l", "eye_r", "eyebrow_steepness_l", "eyebrow_updown_l", "eyebro if args.log_data != "": log = open(args.log_data, "w") log.write("Frame,Time,Width,Height,FPS,Face,FaceID,RightOpen,LeftOpen,AverageConfidence,Success3D,PnPError,RotationQuat.X,RotationQuat.Y,RotationQuat.Z,RotationQuat.W,Euler.X,Euler.Y,Euler.Z,RVec.X,RVec.Y,RVec.Z,TVec.X,TVec.Y,TVec.Z") - for i in range(68): + for i in range(66): log.write(f",Landmark[{i}].X,Landmark[{i}].Y,Landmark[{i}].Confidence") - for i in range(70): + for i in range(66): log.write(f",Point3D[{i}].X,Point3D[{i}].Y,Point3D[{i}].Z") for feature in features: log.write(f",{feature}") @@ -223,8 +215,6 @@ try: continue ret, frame = input_reader.read() - if ret and args.mirror_input: - frame = cv2.flip(frame, 1) if not ret: if repeat: if need_reinit == 0: @@ -251,8 +241,8 @@ try: first = False height, width, channels = frame.shape sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) - tracker = Tracker(width, height, threshold=args.threshold, max_threads=args.max_threads, max_faces=args.faces, discard_after=args.discard_after, scan_every=args.scan_every, silent=False if args.silent == 0 else True, model_type=args.model, model_dir=args.model_dir, no_gaze=False if args.gaze_tracking != 0 and args.model != -1 else True, detection_threshold=args.detection_threshold, use_retinaface=args.scan_retinaface, max_feature_updates=args.max_feature_updates, static_model=True if args.no_3d_adapt == 1 else False, try_hard=args.try_hard == 1) - if args.video_out is not None: + tracker = Tracker(width, height, threshold=args.threshold, max_threads=args.max_threads, max_faces=args.faces, discard_after=args.discard_after, scan_every=args.scan_every, silent=False if args.silent == 0 else True, model_type=args.model, model_dir=args.model_dir, no_gaze=False if args.gaze_tracking != 0 and args.model >= 0 else True, detection_threshold=args.detection_threshold, use_retinaface=args.scan_retinaface, max_feature_updates=args.max_feature_updates, static_model=True if args.no_3d_adapt == 1 else False) + if not args.video_out is None: out = cv2.VideoWriter(args.video_out, cv2.VideoWriter_fourcc('F','F','V','1'), args.video_fps, (width * args.video_scale, height * args.video_scale)) try: @@ -295,8 +285,8 @@ try: packet.extend(bytearray(struct.pack("f", f.translation[0]))) packet.extend(bytearray(struct.pack("f", f.translation[1]))) packet.extend(bytearray(struct.pack("f", f.translation[2]))) - if log is not None: - log.write(f"{frame_count},{now},{width},{height},{fps},{face_num},{f.id},{f.eye_blink[0]},{f.eye_blink[1]},{f.conf},{f.success},{f.pnp_error},{f.quaternion[0]},{f.quaternion[1]},{f.quaternion[2]},{f.quaternion[3]},{f.euler[0]},{f.euler[1]},{f.euler[2]},{f.rotation[0]},{f.rotation[1]},{f.rotation[2]},{f.translation[0]},{f.translation[1]},{f.translation[2]}") + if not log is None: + log.write(f"{frame_count},{now},{width},{height},{args.fps},{face_num},{f.id},{f.eye_blink[0]},{f.eye_blink[1]},{f.conf},{f.success},{f.pnp_error},{f.quaternion[0]},{f.quaternion[1]},{f.quaternion[2]},{f.quaternion[3]},{f.euler[0]},{f.euler[1]},{f.euler[2]},{f.rotation[0]},{f.rotation[1]},{f.rotation[2]},{f.translation[0]},{f.translation[1]},{f.translation[2]}") for (x,y,c) in f.lms: packet.extend(bytearray(struct.pack("f", c))) if args.visualize > 1: @@ -306,23 +296,32 @@ try: for pt_num, (x,y,c) in enumerate(f.lms): packet.extend(bytearray(struct.pack("f", y))) packet.extend(bytearray(struct.pack("f", x))) - if log is not None: + if not log is None: log.write(f",{y},{x},{c}") - if pt_num == 66 and (f.eye_blink[0] < 0.30 or c < 0.20): + if pt_num == 66 and (f.eye_blink[0] < 0.30 or c < 0.30): continue - if pt_num == 67 and (f.eye_blink[1] < 0.30 or c < 0.20): + if pt_num == 67 and (f.eye_blink[1] < 0.30 or c < 0.30): continue x = int(x + 0.5) y = int(y + 0.5) - if args.visualize != 0 or out is not None: + if args.visualize != 0 or not out is None: if args.visualize > 3: frame = cv2.putText(frame, str(pt_num), (int(y), int(x)), cv2.FONT_HERSHEY_SIMPLEX, 0.25, (255,255,0)) color = (0, 255, 0) if pt_num >= 66: color = (255, 255, 0) if not (x < 0 or y < 0 or x >= height or y >= width): - cv2.circle(frame, (y, x), 1, color, -1) - if args.pnp_points != 0 and (args.visualize != 0 or out is not None) and f.rotation is not None: + frame[int(x), int(y)] = color + x += 1 + if not (x < 0 or y < 0 or x >= height or y >= width): + frame[int(x), int(y)] = color + y += 1 + if not (x < 0 or y < 0 or x >= height or y >= width): + frame[int(x), int(y)] = color + x -= 1 + if not (x < 0 or y < 0 or x >= height or y >= width): + frame[int(x), int(y)] = color + if args.pnp_points != 0 and (args.visualize != 0 or not out is None) and f.rotation is not None: if args.pnp_points > 1: projected = cv2.projectPoints(f.face_3d[0:66], f.rotation, f.translation, tracker.camera, tracker.dist_coeffs) else: @@ -345,7 +344,7 @@ try: packet.extend(bytearray(struct.pack("f", x))) packet.extend(bytearray(struct.pack("f", -y))) packet.extend(bytearray(struct.pack("f", -z))) - if log is not None: + if not log is None: log.write(f",{x},{-y},{-z}") if f.current_features is None: f.current_features = {} @@ -353,16 +352,16 @@ try: if not feature in f.current_features: f.current_features[feature] = 0 packet.extend(bytearray(struct.pack("f", f.current_features[feature]))) - if log is not None: + if not log is None: log.write(f",{f.current_features[feature]}") - if log is not None: + if not log is None: log.write("\r\n") log.flush() if detected and len(faces) < 40: sock.sendto(packet, (target_ip, target_port)) - if out is not None: + if not out is None: video_frame = frame if args.video_scale != 1: video_frame = cv2.resize(frame, (width * args.video_scale, height * args.video_scale), interpolation=cv2.INTER_NEAREST) @@ -373,7 +372,7 @@ try: if args.visualize != 0: cv2.imshow('OpenSeeFace Visualization', frame) if cv2.waitKey(1) & 0xFF == ord('q'): - if args.dump_points != "" and faces is not None and len(faces) > 0: + if args.dump_points != "" and not faces is None and len(faces) > 0: np.set_printoptions(threshold=sys.maxsize, precision=15) pairs = [ (0, 16), @@ -449,10 +448,9 @@ except KeyboardInterrupt: print("Quitting") input_reader.close() -if out is not None: +if not out is None: out.release() -if args.visualize != 0: - cv2.destroyAllWindows() +cv2.destroyAllWindows() if args.silent == 0 and tracking_frames > 0: average_tracking_time = 1000 * tracking_time / tracking_frames diff --git a/input_reader.py b/input_reader.py index 2344ada..30e7bb6 100644 --- a/input_reader.py +++ b/input_reader.py @@ -36,7 +36,7 @@ class EscapiReader(VideoReader): self.fps = fps self.device = capture escapi.count_capture_devices() - self.name = str(escapi.device_name(self.device).decode('utf8', 'surrogateescape')) + self.name = str(escapi.device_name(self.device).decode('utf8')) self.buffer = escapi.init_camera(self.device, self.width, self.height, self.fps) escapi.do_capture(self.device) def is_open(self): @@ -111,7 +111,6 @@ class OpenCVReader(VideoReader): super(OpenCVReader, self).__init__(capture, camera=True) self.cap.set(3, width) self.cap.set(4, height) - self.cap.set(38, 1) def is_open(self): return super(OpenCVReader, self).is_open() def is_ready(self): @@ -121,30 +120,6 @@ class OpenCVReader(VideoReader): def close(self): super(OpenCVReader, self).close() -class V4L2Reader(OpenCVReader): - def __init__(self, capture, width, height, fps, dformat): - self.cap = cv2.VideoCapture(capture, cv2.CAP_V4L2) - if dformat: - fourcc = cv2.VideoWriter.fourcc(*dformat) - self.cap.set(6, fourcc) - self.device = None - self.width = width - self.height = height - self.fps = fps - self.name = str(capture) - self.cap.set(3, width) - self.cap.set(4, height) - self.cap.set(38, 1) - self.cap.set(5, fps) - def is_open(self): - return super(V4L2Reader, self).is_open() - def is_ready(self): - return super(V4L2Reader, self).is_ready() - def read(self): - return super(V4L2Reader, self).read() - def close(self): - super(V4L2Reader, self).close() - class RawReader: def __init__(self, width, height): self.width = int(width) @@ -237,7 +212,7 @@ class InputReader(): devices = escapi.count_capture_devices() found = None for i in range(devices): - escapi_name = str(escapi.device_name(i).decode('utf8', 'surrogateescape')) + escapi_name = str(escapi.device_name(i).decode('utf8')) if name == escapi_name: found = i if found is None: @@ -256,14 +231,6 @@ class InputReader(): print(f"Escapi failed. Falling back to OpenCV. If this fails, please change your camera settings.", file=sys.stderr) self.reader = OpenCVReader(int(capture), width, height, fps) self.name = self.reader.name - elif sys.platform == 'linux': - try: - self.reader = V4L2Reader(int(capture), width, height, fps, dcap) - except: - print("V4L2 exception: ") - traceback.print_exc() - print(f"V4L2 failed. Falling back to OpenCV. If this fails, please change your camera settings.", file=sys.stderr) - self.reader = OpenCVReader(int(capture), width, height, fps) else: self.reader = OpenCVReader(int(capture), width, height, fps) except Exception as e: diff --git a/make_exe.bat b/make_exe.bat index 762442b..a5ad490 100644 --- a/make_exe.bat +++ b/make_exe.bat @@ -1,31 +1,16 @@ -echo "Started" - -:: A venv is used so it's easy to add the onnxruntime dll to the binary - -echo "Creating venv" -python -m venv venv - -echo "Activating venv" -call venv\Scripts\activate.bat - -echo "Installing dependencies" -pip install wheel - -pip install onnxruntime opencv-python==4.5.4.60 pillow numpy==1.23.0 pyinstaller - -echo "Running pyinstaller" -pyinstaller facetracker.py --clean ^ - --onedir ^ - --add-binary dshowcapture/*.dll;. ^ - --add-binary escapi/*.dll;. ^ - --add-binary venv/lib/site-packages/onnxruntime/capi/*.dll;onnxruntime\capi ^ +pyinstaller facetracker.spec --onedir ^ + --add-binary dshowcapture/dshowcapture_x86.dll;. ^ + --add-binary dshowcapture/dshowcapture_x64.dll;. ^ + --add-binary dshowcapture/libminibmcapture32.dll;. ^ + --add-binary dshowcapture/libminibmcapture64.dll;. ^ + --add-binary escapi/escapi_x86.dll;. ^ + --add-binary escapi/escapi_x64.dll;. ^ --add-binary msvcp140.dll;. ^ --add-binary vcomp140.dll;. ^ --add-binary concrt140.dll;. ^ --add-binary vccorlib140.dll;. ^ --add-binary run.bat;. -echo "Deleting opencv dll" -del dist\facetracker\cv2\opencv_videoio_* +del dist\facetracker\cv2\opencv_videoio_ffmpeg420_64.dll -echo "Finished" +pause \ No newline at end of file diff --git a/make_exe.sh b/make_exe.sh deleted file mode 100755 index 1963f23..0000000 --- a/make_exe.sh +++ /dev/null @@ -1,32 +0,0 @@ -#!/bin/bash - -set -e - -PYTHON_BINARY=$(which python3) - -if [[ -z "$PYTHON_BINARY" ]]; then - echo "python3 not found. Searching for python instead." - PYTHON_BINARY=$(which python) - if [[ -z "$PYTHON_BINARY" ]]; then - echo "Python 3 must be available on your path. Exiting." - exit 1 - fi -fi - -echo "Creating venv" -"$PYTHON_BINARY" -m venv venv - -source venv/bin/activate - -echo "Installing packages" -pip install wheel # Make sure this is installed beforehand - -pip install onnxruntime opencv-python==4.5.4.60 pillow numpy==1.23.0 pyinstaller - -echo "Creating binary" -pyinstaller --onedir --clean facetracker.py \ - --add-binary venv/lib/python3.*/site-packages/onnxruntime/capi/*.so:onnxruntime/capi - -echo "Files should be available in the dist/ folder" -echo "Done!" - diff --git a/model.py b/model.py index 8f769cd..2824779 100644 --- a/model.py +++ b/model.py @@ -1,7 +1,7 @@ # This file is not used by the tracking application and currently outdated import torch import torch.nn as nn -import geffnet.mobilenetv3 # geffnet.mobilenetv3._gen_mobilenet_v3 needs to be patched to return the parameters instead of instantiating the network, based on commit c450c12ae6ffb1757f62dde3c2765da3c10f6def +import geffnet.mobilenetv3 # geffnet.mobilenetv3._gen_mobilenet_v3 needs to be patched to return the parameters instead of instantiating the network from geffnet.efficientnet_builder import round_channels class DSConv2d(nn.Module): @@ -251,7 +251,7 @@ def AdapWingLoss(pre_hm, gt_hm): img_dilate = cv2.morphologyEx(img_merge, cv2.MORPH_DILATE, kernel) img_dilate[img_dilate < 51] = 1 # 0*W+1 img_dilate[img_dilate >= 51] = 11 # 1*W+1 - img_dilate = np.array(img_dilate, dtype=int) + img_dilate = np.array(img_dilate, dtype=np.int) img_dilate = img_dilate.transpose(2, 0, 1) dilated = torch.from_numpy(img_dilate).float() if first: diff --git a/models/lm_model4_opt.onnx b/models/lm_model4_opt.onnx deleted file mode 100644 index cc92fc0..0000000 Binary files a/models/lm_model4_opt.onnx and /dev/null differ diff --git a/models/lm_modelU_opt.onnx b/models/lm_modelU_opt.onnx deleted file mode 100644 index b0a5432..0000000 Binary files a/models/lm_modelU_opt.onnx and /dev/null differ diff --git a/models/lm_modelV_opt.onnx b/models/lm_modelV_opt.onnx deleted file mode 100644 index a966879..0000000 Binary files a/models/lm_modelV_opt.onnx and /dev/null differ diff --git a/poetry.lock b/poetry.lock deleted file mode 100644 index ffcd882..0000000 --- a/poetry.lock +++ /dev/null @@ -1,224 +0,0 @@ -[[package]] -name = "flatbuffers" -version = "2.0" -description = "The FlatBuffers serialization format for Python" -category = "main" -optional = false -python-versions = "*" - 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providersList = onnxruntime.capi._pybind_state.get_available_providers() - self.session = onnxruntime.InferenceSession(model_path, sess_options=options, providers=providersList) + self.session = onnxruntime.InferenceSession(model_path, sess_options=options) self.res_w, self.res_h = res with open(json_path, "r") as prior_file: self.priorbox = np.array(json.loads(prior_file.read())) diff --git a/run.bat b/run.bat index ea2e030..674c0c9 100644 --- a/run.bat +++ b/run.bat @@ -2,15 +2,15 @@ facetracker -l 1 -echo Make sure that nothing is accessing your camera before you proceed. - set /p cameraNum=Select your camera from the list above and enter the corresponding number: facetracker -a %cameraNum% set /p dcaps=Select your camera mode or -1 for default settings: +set /p width=Select the width: +set /p height=Select the height: set /p fps=Select the FPS: -facetracker -c %cameraNum% -F %fps% -D %dcaps% -v 3 -P 1 --discard-after 0 --scan-every 0 --no-3d-adapt 1 --max-feature-updates 900 +facetracker -c %cameraNum% -W %width% -H %height% -F %fps% -D %dcaps% -v 3 -P 1 --discard-after 0 --scan-every 0 --no-3d-adapt 1 --max-feature-updates 900 pause \ No newline at end of file diff --git a/tracker.py b/tracker.py index 26f8305..a188ee2 100644 --- a/tracker.py +++ b/tracker.py @@ -50,7 +50,7 @@ def compensate(p1, p2): def rotate_image(image, a, center): (h, w) = image.shape[:2] a = np.rad2deg(a) - M = cv2.getRotationMatrix2D((float(center[0]), float(center[1])), a, 1.0) + M = cv2.getRotationMatrix2D((center[0], center[1]), a, 1.0) rotated = cv2.warpAffine(image, M, (w, h)) return rotated @@ -140,7 +140,7 @@ def worker_thread(session, frame, input, crop_info, queue, input_name, idx, trac conf, lms = tracker.landmarks(output[0], crop_info) if conf > tracker.threshold: try: - eye_state = tracker.get_eye_state(frame, lms) + eye_state = tracker.get_eye_state(frame, lms, single=True) except: eye_state = [(1.0, 0.0, 0.0, 0.0), (1.0, 0.0, 0.0, 0.0)] queue.put((session, conf, (lms, eye_state), crop_info, idx)) @@ -263,11 +263,11 @@ class FeatureExtractor(): norm_distance_y = np.mean([pts[27, 1] - pts[28, 1], pts[28, 1] - pts[29, 1], pts[29, 1] - pts[30, 1]]) a1, f_pts = self.align_points(pts[42], pts[45], pts[[43, 44, 47, 46]]) - f = abs((np.mean([f_pts[0,1], f_pts[1,1]]) - np.mean([f_pts[2,1], f_pts[3,1]])) / norm_distance_y) + f = np.clip((np.mean([f_pts[0,1], f_pts[1,1]]) - np.mean([f_pts[2,1], f_pts[3,1]])) / norm_distance_y, 0, None) features["eye_l"] = self.eye_l.update(f, now) a2, f_pts = self.align_points(pts[36], pts[39], pts[[37, 38, 41, 40]]) - f = abs((np.mean([f_pts[0,1], f_pts[1,1]]) - np.mean([f_pts[2,1], f_pts[3,1]])) / norm_distance_y) + f = np.clip((np.mean([f_pts[0,1], f_pts[1,1]]) - np.mean([f_pts[2,1], f_pts[3,1]])) / norm_distance_y, 0, None) features["eye_r"] = self.eye_r.update(f, now) if full: @@ -315,7 +315,7 @@ class FeatureExtractor(): else: features["mouth_corner_inout_r"] = 0. - f = abs(np.mean(pts[[59,60,61], 1], axis=0) - np.mean(pts[[63,64,65], 1], axis=0)) / norm_distance_y + f = (np.mean([pts[59, 1], pts[60, 1], pts[61, 1]]) - np.mean([pts[65, 1], pts[64, 1], pts[63, 1]])) / norm_distance_y features["mouth_open"] = self.mouth_open.update(f, now) f = abs(pts[58, 0] - pts[62, 0]) / norm_distance_x @@ -328,9 +328,9 @@ class FaceInfo(): self.id = id self.frame_count = -1 self.tracker = tracker - self.contour_pts = [0,1,8,15,16,27,28,29,30,31,32,33,34,35] + self.contour_pts = [0,1,8,15,16,27,28,29,30,31,32,33,34,35,36,39,42,45] self.face_3d = copy.copy(self.tracker.face_3d) - if self.tracker.model_type == -1: + if self.tracker.model_type < 0: self.contour_pts = [0,2,8,14,16,27,30,33] self.reset() self.alive = False @@ -401,7 +401,7 @@ class FaceInfo(): if self.conf < 0.4 or self.pnp_error > 300: return - if self.tracker.model_type != -1 and not self.tracker.static_model: + if self.tracker.model_type > -1 and not self.tracker.static_model: max_runs = 1 eligible = np.delete(np.arange(0, 66), [30]) changed_any = False @@ -494,10 +494,10 @@ def get_model_base_path(model_dir): return model_base_path class Tracker(): - def __init__(self, width, height, model_type=3, detection_threshold=0.6, threshold=None, max_faces=1, discard_after=5, scan_every=3, bbox_growth=0.0, max_threads=4, silent=False, model_dir=None, no_gaze=False, use_retinaface=False, max_feature_updates=0, static_model=False, feature_level=2, try_hard=False): + def __init__(self, width, height, model_type=3, detection_threshold=0.6, threshold=None, max_faces=1, discard_after=5, scan_every=3, bbox_growth=0.0, max_threads=4, silent=False, model_dir=None, no_gaze=False, use_retinaface=False, max_feature_updates=0, static_model=False, feature_level=2): options = onnxruntime.SessionOptions() options.inter_op_num_threads = 1 - options.intra_op_num_threads = min(max_threads,4) + options.intra_op_num_threads = max(max_threads,4) options.execution_mode = onnxruntime.ExecutionMode.ORT_SEQUENTIAL options.graph_optimization_level = onnxruntime.GraphOptimizationLevel.ORT_ENABLE_ALL options.log_severity_level = 3 @@ -506,16 +506,11 @@ class Tracker(): "lm_model0_opt.onnx", "lm_model1_opt.onnx", "lm_model2_opt.onnx", - "lm_model3_opt.onnx", - "lm_model4_opt.onnx" + "lm_model3_opt.onnx" ] model = "lm_modelT_opt.onnx" if model_type >= 0: model = self.models[self.model_type] - if model_type == -2: - model = "lm_modelV_opt.onnx" - if model_type == -3: - model = "lm_modelU_opt.onnx" model_base_path = get_model_base_path(model_dir) if threshold is None: @@ -527,39 +522,37 @@ class Tracker(): self.retinaface_scan = RetinaFaceDetector(model_path=os.path.join(model_base_path, "retinaface_640x640_opt.onnx"), json_path=os.path.join(model_base_path, "priorbox_640x640.json"), threads=2, top_k=max_faces, res=(640, 640)) self.use_retinaface = use_retinaface - # OTR 1.9 and later requires specifying providers - # explicitly as an argument in InferenceSession() - providersList = onnxruntime.capi._pybind_state.get_available_providers() - # Single face instance with multiple threads - self.session = onnxruntime.InferenceSession(os.path.join(model_base_path, model), sess_options=options, providers=providersList) + self.session = onnxruntime.InferenceSession(os.path.join(model_base_path, model), sess_options=options) # Multiple faces with single threads self.sessions = [] - self.max_workers = max(min(max_threads, max_faces), 1) + self.max_workers = min(max_threads, max_faces) extra_threads = max_threads % self.max_workers for i in range(self.max_workers): options = onnxruntime.SessionOptions() options.inter_op_num_threads = 1 - options.intra_op_num_threads = min(max(max_threads // self.max_workers, 4), 1) + options.intra_op_num_threads = max_threads // self.max_workers if options.intra_op_num_threads < 1: options.intra_op_num_threads = 1 elif i < extra_threads: options.intra_op_num_threads += 1 options.execution_mode = onnxruntime.ExecutionMode.ORT_SEQUENTIAL options.graph_optimization_level = onnxruntime.GraphOptimizationLevel.ORT_ENABLE_ALL - self.sessions.append(onnxruntime.InferenceSession(os.path.join(model_base_path, model), sess_options=options, providers=providersList)) + self.sessions.append(onnxruntime.InferenceSession(os.path.join(model_base_path, model), sess_options=options)) self.input_name = self.session.get_inputs()[0].name options = onnxruntime.SessionOptions() options.inter_op_num_threads = 1 - options.intra_op_num_threads = 1 + options.intra_op_num_threads = max(max_threads,4) options.execution_mode = onnxruntime.ExecutionMode.ORT_SEQUENTIAL options.graph_optimization_level = onnxruntime.GraphOptimizationLevel.ORT_ENABLE_ALL options.log_severity_level = 3 - self.gaze_model = onnxruntime.InferenceSession(os.path.join(model_base_path, "mnv3_gaze32_split_opt.onnx"), sess_options=options, providers=providersList) + self.gaze_model = onnxruntime.InferenceSession(os.path.join(model_base_path, "mnv3_gaze32_split_opt.onnx"), sess_options=options) + options.intra_op_num_threads = 1 + self.gaze_model_single = onnxruntime.InferenceSession(os.path.join(model_base_path, "mnv3_gaze32_split_opt.onnx"), sess_options=options) - self.detection = onnxruntime.InferenceSession(os.path.join(model_base_path, "mnv3_detection_opt.onnx"), sess_options=options, providers=providersList) + self.detection = onnxruntime.InferenceSession(os.path.join(model_base_path, "mnv3_detection_opt.onnx"), sess_options=options) self.faces = [] # Image normalization constants @@ -668,7 +661,6 @@ class Tracker(): self.scan_every = scan_every self.bbox_growth = bbox_growth self.silent = silent - self.try_hard = try_hard self.res = 224. self.mean_res = self.mean_224 @@ -677,27 +669,19 @@ class Tracker(): self.res = 56. self.mean_res = np.tile(self.mean, [56, 56, 1]) self.std_res = np.tile(self.std, [56, 56, 1]) - if model_type < -1: - self.res = 112. - self.mean_res = np.tile(self.mean, [112, 112, 1]) - self.std_res = np.tile(self.std, [112, 112, 1]) self.res_i = int(self.res) self.out_res = 27. if model_type < 0: self.out_res = 6. - if model_type < -1: - self.out_res = 13. self.out_res_i = int(self.out_res) + 1 self.logit_factor = 16. if model_type < 0: self.logit_factor = 8. - if model_type < -1: - self.logit_factor = 16. self.no_gaze = no_gaze self.debug_gaze = False self.feature_level = feature_level - if model_type == -1: + if model_type < 0: self.feature_level = min(feature_level, 1) self.max_feature_updates = max_feature_updates self.static_model = static_model @@ -735,7 +719,7 @@ class Tracker(): avg_conf = 0 res = self.res - 1 c0, c1, c2 = 66, 132, 198 - if self.model_type == -1: + if self.model_type < 0: c0, c1, c2 = 30, 60, 90 t_main = tensor[0:c0].reshape((c0,self.out_res_i * self.out_res_i)) t_m = t_main.argmax(1) @@ -750,7 +734,7 @@ class Tracker(): avg_conf = np.average(t_conf) lms = np.stack([t_x, t_y, t_conf], 1) lms[np.isnan(lms).any(axis=1)] = np.array([0.,0.,0.], dtype=np.float32) - if self.model_type == -1: + if self.model_type < 0: lms = lms[[0,0,1,1,1,2,2,2,3,3,3,4,4,4,5,5,6,7,7,8,8,9,10,10,11,11,12,21,21,21,22,23,23,23,23,23,13,14,14,15,16,16,17,18,18,19,20,20,24,25,25,25,26,26,27,27,27,24,24,28,28,28,26,29,29,29]] #lms[[1,3,4,6,7,9,10,12,13,15,18,20,23,25,38,40,44,46]] += lms[[2,2,5,5,8,8,11,11,14,16,19,21,24,26,39,39,45,45]] #lms[[3,4,6,7,9,10,12,13]] += lms[[5,5,8,8,11,11,14,14]] @@ -762,12 +746,12 @@ class Tracker(): return (avg_conf, np.array(lms)) def estimate_depth(self, face_info): - lms = np.concatenate((face_info.lms, np.array([[face_info.eye_state[0][1], face_info.eye_state[0][2], face_info.eye_state[0][3]], [face_info.eye_state[1][1], face_info.eye_state[1][2], face_info.eye_state[1][3]]], np.float32)), 0) + lms = np.concatenate((face_info.lms, np.array([[face_info.eye_state[0][1], face_info.eye_state[0][2], face_info.eye_state[0][3]], [face_info.eye_state[1][1], face_info.eye_state[1][2], face_info.eye_state[1][3]]], np.float)), 0) image_pts = np.array(lms)[face_info.contour_pts, 0:2] success = False - if face_info.rotation is not None: + if not face_info.rotation is None: success, face_info.rotation, face_info.translation = cv2.solvePnP(face_info.contour, image_pts, self.camera, self.dist_coeffs, useExtrinsicGuess=True, rvec=np.transpose(face_info.rotation), tvec=np.transpose(face_info.translation), flags=cv2.SOLVEPNP_ITERATIVE) else: rvec = np.array([0, 0, 0], np.float32) @@ -783,10 +767,8 @@ class Tracker(): face_info.translation = np.array([0.0, 0.0, 0.0], np.float32) return False, np.zeros(4), np.zeros(3), 99999., pts_3d, lms else: - # OpenCV returns (3,1); flatten so [0]/[1]/[2] are scalars for UDP packing - # and 1D .dot() math does not broadcast to (1,3). - face_info.rotation = np.asarray(face_info.rotation, dtype=np.float32).reshape(3) - face_info.translation = np.asarray(face_info.translation, dtype=np.float32).reshape(3) + face_info.rotation = np.transpose(face_info.rotation) + face_info.translation = np.transpose(face_info.translation) rmat, _ = cv2.Rodrigues(rotation) inverse_rotation = np.linalg.inv(rmat) @@ -835,7 +817,7 @@ class Tracker(): reference = rmat.dot(pt) reference = reference + face_info.translation reference = self.camera.dot(reference) - depth = float(reference[2]) + depth = reference[2] pt_3d = np.array([lms[66+i][0] * depth, lms[66+i][1] * depth, depth], np.float32) pt_3d = self.inverse_camera.dot(pt_3d) pt_3d = pt_3d - face_info.translation @@ -922,11 +904,11 @@ class Tracker(): x1, y1 = clamp_to_im(center - radius, h, w) x2, y2 = clamp_to_im(center + radius + 1, h, w) offset = np.array((x1, y1)) - lms = (lms[:, 0:2] - offset).astype(int) + lms = (lms[:, 0:2] - offset).astype(np.int) frame = frame[y1:y2, x1:x2] return frame, lms, offset - def get_eye_state(self, frame, lms): + def get_eye_state(self, frame, lms, single=False): if self.no_gaze: return [(1.0, 0.0, 0.0, 0.0), (1.0, 0.0, 0.0, 0.0)] lms = np.array(lms) @@ -942,7 +924,10 @@ class Tracker(): return [(1.0, 0.0, 0.0, 0.0), (1.0, 0.0, 0.0, 0.0)] both_eyes = np.concatenate((right_eye, left_eye)) results = None - results = self.gaze_model.run([], {self.input_name: both_eyes}) + if single: + results = self.gaze_model_single.run([], {self.input_name: both_eyes}) + else: + results = self.gaze_model.run([], {self.input_name: both_eyes}) open = [0, 0] open[0] = 1#results[1][0].argmax() open[1] = 1#results[1][1].argmax() @@ -1049,13 +1034,11 @@ class Tracker(): self.wait_count += 1 if self.detected == 0: start_fd = time.perf_counter() - if self.use_retinaface > 0 or self.try_hard: + if self.use_retinaface > 0: retinaface_detections = self.retinaface.detect_retina(frame) new_faces.extend(retinaface_detections) - if self.use_retinaface == 0 or self.try_hard: + else: new_faces.extend(self.detect_faces(frame)) - if self.try_hard: - new_faces.extend([(0, 0, self.width, self.height)]) duration_fd = 1000 * (time.perf_counter() - start_fd) self.wait_count = 0 elif self.detected < self.max_faces: