Merge pull request #21361 from alalek:sample_fix_tracking

pull/21475/head
Alexander Alekhin 3 years ago
commit a1ec4ea3a9
  1. 46
      samples/python/tracker.py

@ -1,5 +1,4 @@
#!/usr/bin/env python
'''
Tracker demo
@ -36,43 +35,49 @@ class App(object):
def __init__(self, args):
self.args = args
self.trackerAlgorithm = args.tracker_algo
self.tracker = self.createTracker()
def initializeTracker(self, image, trackerAlgorithm):
while True:
if trackerAlgorithm == 'mil':
def createTracker(self):
if self.trackerAlgorithm == 'mil':
tracker = cv.TrackerMIL_create()
elif trackerAlgorithm == 'goturn':
elif self.trackerAlgorithm == 'goturn':
params = cv.TrackerGOTURN_Params()
params.modelTxt = self.args.goturn
params.modelBin = self.args.goturn_model
tracker = cv.TrackerGOTURN_create(params)
elif trackerAlgorithm == 'dasiamrpn':
elif self.trackerAlgorithm == 'dasiamrpn':
params = cv.TrackerDaSiamRPN_Params()
params.model = self.args.dasiamrpn_net
params.kernel_cls1 = self.args.dasiamrpn_kernel_cls1
params.kernel_r1 = self.args.dasiamrpn_kernel_r1
tracker = cv.TrackerDaSiamRPN_create(params)
else:
sys.exit("Tracker {} is not recognized. Please use one of three available: mil, goturn, dasiamrpn.".format(trackerAlgorithm))
sys.exit("Tracker {} is not recognized. Please use one of three available: mil, goturn, dasiamrpn.".format(self.trackerAlgorithm))
return tracker
def initializeTracker(self, image):
while True:
print('==> Select object ROI for tracker ...')
bbox = cv.selectROI('tracking', image)
print('ROI: {}'.format(bbox))
if bbox[2] <= 0 or bbox[3] <= 0:
sys.exit("ROI selection cancelled. Exiting...")
try:
tracker.init(image, bbox)
self.tracker.init(image, bbox)
except Exception as e:
print('Unable to initialize tracker with requested bounding box. Is there any object?')
print(e)
print('Try again ...')
continue
return tracker
return
def run(self):
videoPath = self.args.input
trackerAlgorithm = self.args.tracker_algo
camera = create_capture(videoPath, presets['cube'])
print('Using video: {}'.format(videoPath))
camera = create_capture(cv.samples.findFileOrKeep(videoPath), presets['cube'])
if not camera.isOpened():
sys.exit("Can't open video stream: {}".format(videoPath))
@ -82,7 +87,7 @@ class App(object):
assert image is not None
cv.namedWindow('tracking')
tracker = self.initializeTracker(image, trackerAlgorithm)
self.initializeTracker(image)
print("==> Tracking is started. Press 'SPACE' to re-initialize tracker or 'ESC' for exit...")
@ -92,7 +97,7 @@ class App(object):
print("Can't read frame")
break
ok, newbox = tracker.update(image)
ok, newbox = self.tracker.update(image)
#print(ok, newbox)
if ok:
@ -101,7 +106,7 @@ class App(object):
cv.imshow("tracking", image)
k = cv.waitKey(1)
if k == 32: # SPACE
tracker = self.initializeTracker(image)
self.initializeTracker(image)
if k == 27: # ESC
break
@ -112,22 +117,13 @@ if __name__ == '__main__':
print(__doc__)
parser = argparse.ArgumentParser(description="Run tracker")
parser.add_argument("--input", type=str, default="vtest.avi", help="Path to video source")
parser.add_argument("--tracker_algo", type=str, default="mil", help="One of three available tracking algorithms: mil, goturn, dasiamrpn")
parser.add_argument("--tracker_algo", type=str, default="mil", help="One of available tracking algorithms: mil, goturn, dasiamrpn")
parser.add_argument("--goturn", type=str, default="goturn.prototxt", help="Path to GOTURN architecture")
parser.add_argument("--goturn_model", type=str, default="goturn.caffemodel", help="Path to GOTERN model")
parser.add_argument("--dasiamrpn_net", type=str, default="dasiamrpn_model.onnx", help="Path to onnx model of DaSiamRPN net")
parser.add_argument("--dasiamrpn_kernel_r1", type=str, default="dasiamrpn_kernel_r1.onnx", help="Path to onnx model of DaSiamRPN kernel_r1")
parser.add_argument("--dasiamrpn_kernel_cls1", type=str, default="dasiamrpn_kernel_cls1.onnx", help="Path to onnx model of DaSiamRPN kernel_cls1")
parser.add_argument("--dasiamrpn_backend", type=int, default=0, help="Choose one of computation backends:\
0: automatically (by default),\
1: Halide language (http://halide-lang.org/),\
2: Intel's Deep Learning Inference Engine (https://software.intel.com/openvino-toolkit),\
3: OpenCV implementation")
parser.add_argument("--dasiamrpn_target", type=int, default=0, help="Choose one of target computation devices:\
0: CPU target (by default),\
1: OpenCL,\
2: OpenCL fp16 (half-float precision),\
3: VPU")
args = parser.parse_args()
App(args).run()
cv.destroyAllWindows()

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