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@thohemp Do you mean this part? I've already used the code below:
detector = RetinaFace(gpu_id=gpu)
with torch.no_grad():
for frame in img_list:
faces = detector(frame)
for box, landmarks, score in faces:
# Print the location of each face in this image
if score < .95:
continue
x_min = int(box[0])
y_min = int(box[1])
x_max = int(box[2])
y_max = int(box[3])
I use the code of demo.py and test the video in the demo. The results below look wired. I also test other videos and a common problem is that the results have lots of jitters.
https://github.com/thohemp/6DRepNet/assets/39046939/740edd75-7565-4bfa-a82b-0303b7ee9bde
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