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import argparse
import asone
from asone import ASOne
def main(args):
filter_classes = args.filter_classes
if filter_classes:
filter_classes = [filter_classes]
dt_obj = ASOne(
tracker=asone.BYTETRACK,
detector=asone.YOLOV7_PYTORCH,
weights=args.weights,
use_cuda=args.use_cuda
)
# Get tracking function
track_fn = dt_obj.track_video(args.video_path,
output_dir=args.output_dir,
conf_thres=args.conf_thres,
iou_thres=args.iou_thres,
display=args.display,
draw_trails=args.draw_trails,
filter_classes=filter_classes,
class_names=None) # class_names=['License Plate'] for custom weights
# Loop over track_fn to retrieve outputs of each frame
for bbox_details, frame_details in track_fn:
bbox_xyxy, ids, scores, class_ids = bbox_details
frame, frame_num, fps = frame_details
print(frame_num)
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('video_path', help='Path to input video')
parser.add_argument('--cpu', default=True, action='store_false', dest='use_cuda',
help='run on cpu if not provided the program will run on gpu.')
parser.add_argument('--no_save', default=True, action='store_false',
dest='save_result', help='whether or not save results')
parser.add_argument('--no_display', default=True, action='store_false',
dest='display', help='whether or not display results on screen')
parser.add_argument('--output_dir', default='data/results', help='Path to output directory')
parser.add_argument('--draw_trails', action='store_true', default=False,
help='if provided object motion trails will be drawn.')
parser.add_argument('--filter_classes', default=None, help='Filter class name')
parser.add_argument('-w', '--weights', default=None, help='Path of trained weights')
parser.add_argument('-ct', '--conf_thres', default=0.25, type=float, help='confidence score threshold')
parser.add_argument('-it', '--iou_thres', default=0.45, type=float, help='iou score threshold')
args = parser.parse_args()
main(args)
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