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The internal face 3D model will now adapt to the tracked landmarks.

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This commit is contained in:
Emiliana 2020-02-20 21:33:00 +01:00
parent 7de50b2e25
commit e60b9b37bd
2 changed files with 75 additions and 17 deletions
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9
facetracker.py
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@ -158,6 +158,8 @@ try:
continue
if pt_num == 67:# and left_open < 0.5:
continue
x = int(x + 0.5)
y = int(y + 0.5)
if args.visualize != 0 or not out is None:
if args.visualize > 1:
frame = cv2.putText(frame, str(f.id), (int(f.bbox[0]), int(f.bbox[1])), cv2.FONT_HERSHEY_SIMPLEX, 0.75, (255,0,255))
@ -175,8 +177,13 @@ try:
if not (x < 0 or y < 0 or x >= height or y >= width):
frame[int(x), int(y)] = (0, 0, 255)
if args.pnp_points != 0 and (args.visualize != 0 or not out is None):
projected = cv2.projectPoints(tracker.contour, f.rotation, f.translation, tracker.camera, tracker.dist_coeffs)
if args.pnp_points > 1:
projected = cv2.projectPoints(f.face_3d, f.rotation, f.translation, tracker.camera, tracker.dist_coeffs)
else:
projected = cv2.projectPoints(f.contour, f.rotation, f.translation, tracker.camera, tracker.dist_coeffs)
for [(x,y)] in projected[0]:
x = int(x + 0.5)
y = int(y + 0.5)
if not (x < 0 or y < 0 or x >= height or y >= width):
frame[int(x), int(y)] = (0, 255, 255)
x += 1