multi-object-tracker/examples/example_scripts/mot_TF_SSDMobileNet.py at 6ec7536dff801ee05ec56d5149a67ad4e58d5286 · jim93073/multi-object-tracker · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
import cv2 as cv
from motrackers.detectors import TF_SSDMobileNetV2
from motrackers import CentroidTracker, CentroidKF_Tracker
from motrackers.utils import draw_tracks


def main(video_path, weights_path, config_path, use_gpu, tracker):

    model = TF_SSDMobileNetV2(
        weights_path=weights_path,
        configfile_path=config_path,
        confidence_threshold=0.3,
        nms_threshold=0.2,
        draw_bboxes=True,
        use_gpu=use_gpu
    )

    cap = cv.VideoCapture(video_path)
    while True:
        ok, image = cap.read()

        if not ok:
            print("Cannot read the video feed.")
            break

        bboxes, confidences, class_ids = model.detect(image)

        tracks = tracker.update(bboxes, confidences, class_ids)

        updated_image = model.draw_bboxes(image, bboxes, confidences, class_ids)

        updated_image = draw_tracks(updated_image, tracks)

        cv.imshow("image", updated_image)
        if cv.waitKey(1) & 0xFF == ord('q'):
            break

    cap.release()
    cv.destroyAllWindows()


if __name__ == '__main__':
    import argparse

    parser = argparse.ArgumentParser(
        description='Object detections in input video using TensorFlow model of MobileNetSSD.')

    parser.add_argument(
        '--video', '-v', type=str, default="./../video_data/cars.mp4", help='Input video path.')

    parser.add_argument(
        '--weights', '-w', type=str,
        default="./../pretrained_models/tensorflow_weights/ssd_mobilenet_v2_coco_2018_03_29/frozen_inference_graph.pb",
        help='path to weights file of tf-MobileNetSSD (`.pb` file).'
    )

    parser.add_argument(
        '--config', '-c', type=str,
        default="./../pretrained_models/tensorflow_weights/ssd_mobilenet_v2_coco_2018_03_29.pbtxt",
        help='path to config file of Caffe-MobileNetSSD (`.pbtxt` file).'
    )

    parser.add_argument(
        '--gpu', type=bool, default=False,
        help='Flag to use gpu to run the deep learning model. Default is `False`'
    )

    parser.add_argument(
        '--tracker', type=str, default='CentroidKF_Tracker',
        help="Tracker used to track objects. Options include ['CentroidTracker', 'CentroidKF_Tracker']")

    args = parser.parse_args()

    if args.tracker == 'CentroidTracker':
        tracker = CentroidTracker(max_lost=5, tracker_output_format='mot_challenge')
    elif args.tracker == 'CentroidKF_Tracker':
        tracker = CentroidKF_Tracker(max_lost=3, tracker_output_format='mot_challenge')
    else:
        raise NotImplementedError

    main(args.video, args.weights, args.config, args.gpu, tracker)