#!/usr/bin/env python ''' Tracker demo For usage download models by following links For GOTURN: goturn.prototxt and goturn.caffemodel: https://github.com/opencv/opencv_extra/tree/c4219d5eb3105ed8e634278fad312a1a8d2c182d/testdata/tracking For DaSiamRPN: network: https://www.dropbox.com/s/rr1lk9355vzolqv/dasiamrpn_model.onnx?dl=0 kernel_r1: https://www.dropbox.com/s/999cqx5zrfi7w4p/dasiamrpn_kernel_r1.onnx?dl=0 kernel_cls1: https://www.dropbox.com/s/qvmtszx5h339a0w/dasiamrpn_kernel_cls1.onnx?dl=0 USAGE: tracker.py [-h] [--input INPUT] [--tracker_algo TRACKER_ALGO] [--goturn GOTURN] [--goturn_model GOTURN_MODEL] [--dasiamrpn_net DASIAMRPN_NET] [--dasiamrpn_kernel_r1 DASIAMRPN_KERNEL_R1] [--dasiamrpn_kernel_cls1 DASIAMRPN_KERNEL_CLS1] [--dasiamrpn_backend DASIAMRPN_BACKEND] [--dasiamrpn_target DASIAMRPN_TARGET] ''' # Python 2/3 compatibility from __future__ import print_function import sys import numpy as np import cv2 as cv import argparse from video import create_capture, presets class App(object): def __init__(self, args): self.args = args self.trackerAlgorithm = args.tracker_algo self.tracker = self.createTracker() def createTracker(self): if self.trackerAlgorithm == 'mil': tracker = cv.TrackerMIL_create() 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 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(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: 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 def run(self): videoPath = self.args.input 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)) ok, image = camera.read() if not ok: sys.exit("Can't read first frame") assert image is not None cv.namedWindow('tracking') self.initializeTracker(image) print("==> Tracking is started. Press 'SPACE' to re-initialize tracker or 'ESC' for exit...") while camera.isOpened(): ok, image = camera.read() if not ok: print("Can't read frame") break ok, newbox = self.tracker.update(image) #print(ok, newbox) if ok: cv.rectangle(image, newbox, (200,0,0)) cv.imshow("tracking", image) k = cv.waitKey(1) if k == 32: # SPACE self.initializeTracker(image) if k == 27: # ESC break print('Done') 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 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") args = parser.parse_args() App(args).run() cv.destroyAllWindows()