Merge branch 'master' of github.com:emilianavt/OpenSeeFace
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2 changed files with 2 additions and 2 deletions
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@ -101,7 +101,7 @@ Four pretrained face landmark models are included. Using the `--model` switch, i
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FPS measurements are from running on one core of my CPU.
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Pytorch weights for use with `model.py` can be found [here](https://mega.nz/file/vvYXlYQT#h7FpEg4tmOCJNxjpsDEw0JomJIkVGKwrt4OUV0RNDDU).
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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).
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# Results
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@ -762,7 +762,7 @@ class Tracker():
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return (avg_conf, np.array(lms))
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def estimate_depth(self, face_info):
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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)
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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)
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image_pts = np.array(lms)[face_info.contour_pts, 0:2]
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