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lengthen log headers to match length of data

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I based changed the numbers based on lengths I observed with `print(len(f.lms))` and `print(len(f.pts_e3))`. Once I changed the numbers to their new values, the header became the same length as the data, which makes me think I reconstructed the intent correctly. However, since the readme says the training data had 66 key points, it raises questions about what the extra 2 and 4 keypoints respectively represent.
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shiffi meekling 2025-12-26 23:31:30 -08:00
parent 9e61fcf1ea
commit d4af2410d4
1 changed files with 2 additions and 2 deletions
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4
facetracker.py
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@ -188,9 +188,9 @@ features = ["eye_l", "eye_r", "eyebrow_steepness_l", "eyebrow_updown_l", "eyebro
if args.log_data != "": if args.log_data != "":
log = open(args.log_data, "w") 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") 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(66): for i in range(68):
log.write(f",Landmark[{i}].X,Landmark[{i}].Y,Landmark[{i}].Confidence") log.write(f",Landmark[{i}].X,Landmark[{i}].Y,Landmark[{i}].Confidence")
for i in range(66): for i in range(70):
log.write(f",Point3D[{i}].X,Point3D[{i}].Y,Point3D[{i}].Z") log.write(f",Point3D[{i}].X,Point3D[{i}].Y,Point3D[{i}].Z")
for feature in features: for feature in features:
log.write(f",{feature}") log.write(f",{feature}")