def show_tracks(vid_proto, track_proto):
for frame in vid_proto['frames']:
img = imread(frame_path_at(vid_proto, frame['frame']))
boxes = [track_box_at_frame(tracklet, frame['frame']) \
for tracklet in track_proto['tracks']]
tracked = add_bbox(img, boxes, None, None, 2)
cv2.imshow('tracks', tracked)
if cv2.waitKey(0) == ord('q'):
cv2.destroyAllWindows()
sys.exit(0)
cv2.destroyAllWindows()
def show_track_res(track_res, vid_proto):
cv2.namedWindow('tracks')
for frame_res in track_res:
if frame_res['frame'] == -1: break
frame = frame_res['frame']
img = imread(frame_path_at(vid_proto, frame))
boxes = frame_res['roi'].tolist()
tracked = add_bbox(img, boxes, None, None, 2)
cv2.imshow('tracks', tracked)
if cv2.waitKey(0) == ord('q'):
cv2.destroyAllWindows()
sys.exit(0)
cv2.destroyAllWindows()
for frame in vid_proto['frames']:
det_file = os.path.join(
args.det_root, "{}.mat".format(os.path.splitext(frame['path'])[0]))
det = sio.loadmat(det_file)
frame_idx = frame['frame']
img = imread(frame_path_at(vid_proto, frame_idx))
boxes = det['boxes'][:, cls_index, :].astype('single')
scores = det['zs'][:, cls_index].astype('single')
if args.nms:
keep = nms(np.hstack((boxes, scores[:, np.newaxis])), 0.3)
else:
keep = range(len(boxes))
kept_boxes = [boxes[i, :] for i in keep]
kept_scores = [scores[i] for i in keep]
top_idx = np.argsort(np.asarray(kept_scores))[::-1]
top_boxes = [kept_boxes[top_idx[i]] for i in \
xrange(min(args.top_k, len(kept_boxes)))]
top_scores = [kept_scores[top_idx[i]] for i in \
xrange(min(args.top_k, len(kept_boxes)))]
det_img = add_bbox(img, top_boxes, top_scores)
cv2.imshow('detection', det_img)
if cv2.waitKey(0) == ord('q'):
cv2.destroyAllWindows()
sys.exit(0)
cv2.destroyAllWindows()
if args.save_dir:
imwrite(
os.path.join(args.save_dir, "{:04d}.jpg".format(frame_idx)),
det_img)
show_track_ids = []
cur_colors = []
cur_classes = []
for track_id, (class_id,
track) in enumerate(zip(kept_class, kept_tracks)):
if frame_id in track['frame']:
boxes.append(track[args.box_key][track['frame'] == frame_id][
0, class_id, :].tolist())
scores.append(track[args.score_key][track['frame'] == frame_id]
[0, class_id].tolist())
cur_colors.append(colors[track_id])
cur_classes.append(imagenet_vdet_classes[class_id])
show_track_ids.append(track_id)
tracked = add_bbox(img,
boxes,
classes=cur_classes,
scores=scores,
line_width=10)
if args.save_dir:
imwrite(os.path.join(args.save_dir, "{:04d}.jpg".format(frame_id)),
tracked)
idx += 1
if idx >= len(vid_proto['frames']):
break
continue
cv2.imshow('tracks', tracked)
key = cv2.waitKey(0)
if key == ord('q'):
cv2.destroyAllWindows()
sys.exit(0)
elif key == ord('a'):
if not args.save_dir:
cv2.namedWindow('tracks')
if args.sample_tracks:
tracks = sample_tracks(track_proto['tracks'], args.num_tracks)
elif args.annot_file:
annot_proto = proto_load(args.annot_file)
tracks = positive_tracks(track_proto['tracks'], annot_proto,
args.overlap, args.box_key)
else:
tracks = track_proto['tracks']
random.shuffle(tracks)
for frame in vid_proto['frames']:
img = imread(frame_path_at(vid_proto, frame['frame']))
boxes = [track_box_at_frame(tracklet, frame['frame'], args.box_key) \
for tracklet in tracks]
tracked = add_bbox(img, boxes, None, colors, 2)
if args.save_dir:
if not os.path.isdir(args.save_dir):
try:
os.makedirs(args.save_dir)
except:
pass
imwrite(
os.path.join(args.save_dir,
"{:04d}.jpg".format(frame['frame'])), tracked)
else:
cv2.imshow('tracks', tracked)
if cv2.waitKey(0) == ord('q'):
cv2.destroyAllWindows()
sys.exit(0)
if not args.save_dir:
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('vid_file')
parser.add_argument('annot_file')
parser.add_argument('--save_dir', default=None)
args = parser.parse_args()
vid_proto = proto_load(args.vid_file)
annot_proto = proto_load(args.annot_file)
colors = unique_colors(len(annot_proto['annotations']))
for frame in vid_proto['frames']:
img = imread(frame_path_at(vid_proto, frame['frame']))
boxes = [track_box_at_frame(tracklet, frame['frame']) \
for tracklet in [annot['track'] for annot in annot_proto['annotations']]]
tracked = add_bbox(img, boxes, None, 10)
if args.save_dir:
if not os.path.isdir(args.save_dir):
os.makedirs(args.save_dir)
imwrite(
os.path.join(args.save_dir,
"{:04d}.jpg".format(frame['frame'])), tracked)
else:
cv2.imshow('tracks', tracked)
if cv2.waitKey(0) == ord('q'):
cv2.destroyAllWindows()
sys.exit(0)
cv2.destroyAllWindows()
import cv2
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('vid_file')
parser.add_argument('annot_file')
parser.add_argument('--save_dir', default=None)
args = parser.parse_args()
vid_proto = proto_load(args.vid_file)
annot_proto = proto_load(args.annot_file)
colors = unique_colors(len(annot_proto['annotations']))
for frame in vid_proto['frames']:
img = imread(frame_path_at(vid_proto, frame['frame']))
boxes = [track_box_at_frame(tracklet, frame['frame']) \
for tracklet in [annot['track'] for annot in annot_proto['annotations']]]
tracked = add_bbox(img, boxes, None, 10)
if args.save_dir:
if not os.path.isdir(args.save_dir):
os.makedirs(args.save_dir)
imwrite(os.path.join(args.save_dir, "{:04d}.jpg".format(frame['frame'])),
tracked)
else:
cv2.imshow('tracks', tracked)
if cv2.waitKey(0) == ord('q'):
cv2.destroyAllWindows()
sys.exit(0)
cv2.destroyAllWindows()