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 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:
start = time.time()
rects = []
inference_start = time.perf_counter()
faces1 = tracker.detect_faces(frame)
for face in faces1:
x, y, w, h = face.astype('int')
x1 = x
y1 = y
x2 = x + w
y2 = y + h
x1 = x + int(w * 0.25)
y1 = y # int(h * 0.125)
x2 = x + int(w * 0.85)
y2 = y + h + int(h * 0.125)
# x1, y1 = clamp_to_im((x1, y1), width, height)
# x2, y2 = clamp_to_im((x2, y2), width, height)
