def main():
parser = argparse.ArgumentParser(formatter_class=argparse.RawTextHelpFormatter)
parser.add_argument('-m', '--mot', action='store_true', help='run multiple object tracker')
parser.add_argument('-i', '--input_uri', metavar="URI", required=True, help=
'URI to input stream\n'
'1) video file (e.g. input.mp4)\n'
'2) MIPI CSI camera (e.g. csi://0)\n'
'3) USB or V4L2 camera (e.g. /dev/video0)\n'
'4) RTSP stream (rtsp://<user>:<password>@<ip>:<port>)\n')
parser.add_argument('-o', '--output_uri', metavar="URI",
help='URI to output stream (e.g. output.mp4)')
parser.add_argument('-l', '--log', metavar="FILE",
help='output a MOT Challenge format log (e.g. eval/results/mot17-04.txt)')
parser.add_argument('-g', '--gui', action='store_true', help='enable display')
parser.add_argument('-v', '--verbose', action='store_true', help='verbose output for debugging')
parser.add_argument('-s', '--server', action='store_true', help='send to datacratie server')
args = parser.parse_args()
# set up logging
logging.basicConfig(format='[%(levelname)s] %(message)s')
logger = logging.getLogger(fastmot.__name__)
logger.setLevel(logging.DEBUG if args.verbose else logging.INFO)
# load config file
with open(Path(__file__).parent / 'cfg' / 'mot.json') as config_file:
config = json.load(config_file, cls=fastmot.utils.ConfigDecoder)
mot = None
log = None
elapsed_time = 0
stream = fastmot.VideoIO(config['size'], config['video_io'], args.input_uri, args.output_uri)
if args.mot:
draw = args.gui or args.output_uri is not None
mot = fastmot.MOT(config['size'], stream.capture_dt, config['mot'],
draw=draw, verbose=args.verbose)
if args.log is not None:
Path(args.log).parent.mkdir(parents=True, exist_ok=True)
log = open(args.log, 'w')
if args.gui:
cv2.namedWindow("Video", cv2.WINDOW_AUTOSIZE)
logger.info('Starting video capture...')
stream.start_capture()
try:
tic = time.perf_counter()
while not args.gui or cv2.getWindowProperty("Video", 0) >= 0:
frame = stream.read()
if frame is None:
break
if args.mot:
mot.step(frame)
if log is not None:
for track in mot.visible_tracks:
# MOT17 dataset is usually of size 1920x1080, modify this otherwise
orig_size = (1920, 1080)
tl = track.tlbr[:2] / config['size'] * orig_size
br = track.tlbr[2:] / config['size'] * orig_size
w, h = br - tl + 1
log.write(f'{mot.frame_count},{track.trk_id},{tl[0]:.6f},{tl[1]:.6f},'
f'{w:.6f},{h:.6f},-1,-1,-1\n')
if args.server:
for track in mot.visible_tracks:
# MOT17 dataset is usually of size 1920x1080, modify this otherwise
orig_size = (1920, 1080)
tl = track.tlbr[:2] / config['size'] * orig_size
br = track.tlbr[2:] / config['size'] * orig_size
w, h = br - tl + 1
timestamp = time.time()
data = {
"datapoint": {
"frame": mot.frame_count,
"personID": track.trk_id,
"x": tl[0],
"y": tl[1],
"w": w,
"h": h
},
"test": 1,
"location": "brussels",
"device": "jetson nano",
"timestamp": timestamp
}
try:
requests.post(url = URL, json = data)
except:
print("Connection error")
if args.gui:
cv2.imshow('Video', frame)
if cv2.waitKey(1) & 0xFF == 27:
break
if args.output_uri is not None:
stream.write(frame)
toc = time.perf_counter()
elapsed_time = toc - tic
finally:
# clean up resources
if log is not None:
log.close()
stream.release()
cv2.destroyAllWindows()
if args.mot:
# timing results
avg_fps = round(mot.frame_count / elapsed_time)
avg_tracker_time = mot.tracker_time / (mot.frame_count - mot.detector_frame_count)
avg_extractor_time = mot.extractor_time / mot.detector_frame_count
avg_preproc_time = mot.preproc_time / mot.detector_frame_count
avg_detector_time = mot.detector_time / mot.detector_frame_count
avg_assoc_time = mot.association_time / mot.detector_frame_count
logger.info('Average FPS: %d', avg_fps)
logger.debug('Average tracker time: %f', avg_tracker_time)
logger.debug('Average feature extractor time: %f', avg_extractor_time)
logger.debug('Average preprocessing time: %f', avg_preproc_time)
logger.debug('Average detector time: %f', avg_detector_time)
logger.debug('Average association time: %f', avg_assoc_time)
def main():
parser = argparse.ArgumentParser(
formatter_class=argparse.RawTextHelpFormatter)
parser.add_argument('-m',
'--mot',
action='store_true',
help='run multiple object tracker')
parser.add_argument(
'-i',
'--input_uri',
metavar="URI",
required=True,
help='URI to input stream\n'
'1) image sequence (e.g. img_%%06d.jpg)\n'
'2) video file (e.g. video.mp4)\n'
'3) MIPI CSI camera (e.g. csi://0)\n'
'4) USB/V4L2 camera (e.g. /dev/video0)\n'
'5) RTSP stream (rtsp://<user>:<password>@<ip>:<port>/<path>)\n'
'6) HTTP stream (http://<user>:<password>@<ip>:<port>/<path>)\n')
parser.add_argument('-o',
'--output_uri',
metavar="URI",
help='URI to output video (e.g. output.mp4)')
parser.add_argument(
'-l',
'--log',
metavar="FILE",
help=
'output a MOT Challenge format log (e.g. eval/results/mot17-04.txt)')
parser.add_argument('-g',
'--gui',
action='store_true',
help='enable display')
parser.add_argument('-v',
'--verbose',
action='store_true',
help='verbose output for debugging')
args = parser.parse_args()
# set up logging
logging.basicConfig(format='[%(levelname)s] %(message)s')
logger = logging.getLogger(fastmot.__name__)
logger.setLevel(logging.DEBUG if args.verbose else logging.INFO)
# load config file
with open(Path(__file__).parent / 'cfg' / 'mot.json') as config_file:
config = json.load(config_file, cls=fastmot.utils.ConfigDecoder)
mot = None
log = None
elapsed_time = 0
stream = fastmot.VideoIO(config['resize_to'], config['video_io'],
args.input_uri, args.output_uri)
if args.mot:
draw = args.gui or args.output_uri is not None
mot = fastmot.MOT(config['resize_to'],
stream.cap_dt,
config['mot'],
draw=draw,
verbose=args.verbose)
if args.log is not None:
Path(args.log).parent.mkdir(parents=True, exist_ok=True)
log = open(args.log, 'w')
if args.gui:
cv2.namedWindow("Video", cv2.WINDOW_AUTOSIZE)
logger.info('Starting video capture...')
stream.start_capture()
try:
tic = time.perf_counter()
while not args.gui or cv2.getWindowProperty("Video", 0) >= 0:
frame = stream.read()
if frame is None:
break
if args.mot:
mot.step(frame)
if log is not None:
for track in mot.visible_tracks:
tl = track.tlbr[:2] / config[
'resize_to'] * stream.resolution
br = track.tlbr[2:] / config[
'resize_to'] * stream.resolution
w, h = br - tl + 1
log.write(
f'{mot.frame_count},{track.trk_id},{tl[0]:.6f},{tl[1]:.6f},'
f'{w:.6f},{h:.6f},-1,-1,-1\n')
if args.gui:
cv2.imshow('Video', frame)
if cv2.waitKey(1) & 0xFF == 27:
break
if args.output_uri is not None:
stream.write(frame)
toc = time.perf_counter()
elapsed_time = toc - tic
finally:
# clean up resources
if log is not None:
log.close()
stream.release()
cv2.destroyAllWindows()
if args.mot:
# timing results
avg_fps = round(mot.frame_count / elapsed_time)
avg_tracker_time = mot.tracker_time / (mot.frame_count -
mot.detector_frame_count)
avg_extractor_time = mot.extractor_time / mot.detector_frame_count
avg_preproc_time = mot.preproc_time / mot.detector_frame_count
avg_detector_time = mot.detector_time / mot.detector_frame_count
avg_assoc_time = mot.association_time / mot.detector_frame_count
logger.info('Average FPS: %d', avg_fps)
logger.debug('Average tracker time: %f', avg_tracker_time)
logger.debug('Average feature extractor time: %f', avg_extractor_time)
logger.debug('Average preprocessing time: %f', avg_preproc_time)
logger.debug('Average detector time: %f', avg_detector_time)
logger.debug('Average association time: %f', avg_assoc_time)
def main():
parser = argparse.ArgumentParser(
formatter_class=argparse.RawTextHelpFormatter)
parser.add_argument("-m",
"--mot",
action="store_true",
help="run multiple object tracker")
parser.add_argument(
"-i",
"--input_uri",
metavar="URI",
required=True,
help="URI to input stream\n"
"1) video file (e.g. input.mp4)\n"
"2) MIPI CSI camera (e.g. csi://0)\n"
"3) USB or V4L2 camera (e.g. /dev/video0)\n"
"4) RTSP stream (rtsp://<user>:<password>@<ip>:<port>)\n",
)
parser.add_argument(
"-o",
"--output_uri",
metavar="URI",
help="URI to output stream (e.g. output.mp4)",
)
parser.add_argument(
"-l",
"--log",
metavar="FILE",
help=
"output a MOT Challenge format log (e.g. eval/results/mot17-04.txt)",
)
parser.add_argument("-g",
"--gui",
action="store_true",
help="enable display")
parser.add_argument("-v",
"--verbose",
action="store_true",
help="verbose output for debugging")
args = parser.parse_args()
# set up logging
logging.basicConfig(format="[%(levelname)s] %(message)s")
logger = logging.getLogger(fastmot.__name__)
logger.setLevel(logging.DEBUG if args.verbose else logging.INFO)
# load config file
with open(Path(__file__).parent / "cfg" / "mot.json") as config_file:
config = json.load(config_file, cls=fastmot.utils.ConfigDecoder)
mot = None
log = None
elapsed_time = 0
stream = fastmot.VideoIO(config["size"], config["video_io"],
args.input_uri, args.output_uri)
if args.mot:
draw = args.gui or args.output_uri is not None
mot = fastmot.MOT(
config["size"],
stream.capture_dt,
config["mot"],
draw=draw,
verbose=args.verbose,
)
if args.log is not None:
Path(args.log).parent.mkdir(parents=True, exist_ok=True)
log = open(args.log, "w")
if args.gui:
cv2.namedWindow("Video", cv2.WINDOW_AUTOSIZE)
logger.info("Starting video capture...")
stream.start_capture()
try:
tic = time.perf_counter()
while not args.gui or cv2.getWindowProperty("Video", 0) >= 0:
frame = stream.read()
if frame is None:
break
if args.mot:
mot.step(frame)
if log is not None:
for track in mot.visible_tracks:
# MOT17 dataset is usually of size 1920x1080, modify this otherwise
orig_size = (1920, 1080)
tl = track.tlbr[:2] / config["size"] * orig_size
br = track.tlbr[2:] / config["size"] * orig_size
w, h = br - tl + 1
log.write(
f"{mot.frame_count},{track.trk_id},{tl[0]:.6f},{tl[1]:.6f},"
f"{w:.6f},{h:.6f},-1,-1,-1\n")
if args.gui:
cv2.imshow("Video", frame)
if cv2.waitKey(1) & 0xFF == 27:
break
if args.output_uri is not None:
stream.write(frame)
toc = time.perf_counter()
elapsed_time = toc - tic
finally:
# clean up resources
if log is not None:
log.close()
stream.release()
cv2.destroyAllWindows()
toc = time.perf_counter()
elapsed_time = toc - tic
avg_fps = round(mot.frame_count / elapsed_time)
logger.info("Average FPS: %d", avg_fps)
if args.mot:
# timing results
avg_fps = round(mot.frame_count / elapsed_time)
avg_tracker_time = mot.tracker_time / (mot.frame_count -
mot.detector_frame_count)
avg_extractor_time = mot.extractor_time / mot.detector_frame_count
avg_preproc_time = mot.preproc_time / mot.detector_frame_count
avg_detector_time = mot.detector_time / mot.detector_frame_count
avg_assoc_time = mot.association_time / mot.detector_frame_count
logger.info("Average FPS: %d", avg_fps)
logger.debug("Average tracker time: %f", avg_tracker_time)
logger.debug("Average feature extractor time: %f", avg_extractor_time)
logger.debug("Average preprocessing time: %f", avg_preproc_time)
logger.debug("Average detector time: %f", avg_detector_time)
logger.debug("Average association time: %f", avg_assoc_time)