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opencv_tracking.py
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85 lines (69 loc) · 2.3 KB
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from imutils.video import VideoStream
from imutils.video import FPS
import argparse
import imutils
import time
import cv2
ap = argparse.ArgumentParser()
ap.add_argument("-v", "--video", type=str,
help="path to input video file")
ap.add_argument("-t", "--tracker", type=str, default="kcf",
help="OpenCV object tracker type")
args = vars(ap.parse_args())
initBB = None
tracker = None
def create():
(major, minor) = cv2.__version__.split(".")[:2]
if int(major) == 3 and int(minor) < 3:
tracker = cv2.Tracker_create(args["tracker"].upper())
else:
OPENCV_OBJECT_TRACKERS = {
"csrt": cv2.TrackerCSRT_create,
"kcf": cv2.TrackerKCF_create,
"boosting": cv2.TrackerBoosting_create,
"mil": cv2.TrackerMIL_create,
"tld": cv2.TrackerTLD_create,
"medianflow": cv2.TrackerMedianFlow_create,
"mosse": cv2.TrackerMOSSE_create
}
tracker = OPENCV_OBJECT_TRACKERS[args["tracker"]]()
return tracker
if not args.get("video", False):
print("[INFO] starting video stream...")
vs = VideoStream(src=0).start()
time.sleep(1.0)
else:
vs = cv2.VideoCapture(args["video"])
while True:
frame = vs.read()
frame = frame[1] if args.get("video", False) else frame
if frame is None:
break
frame = imutils.resize(frame, width=1280)
(H, W) = frame.shape[:2]
if initBB is not None:
(success, box) = tracker.update(frame)
if success:
print('Track:', box)
(x, y, w, h) = [int(v) for v in box]
cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
info = [
("Tracker", args["tracker"]),
("Success", "Yes" if success else "No"),
]
for (i, (k, v)) in enumerate(info):
text = "{}: {}".format(k, v)
#cv2.putText(frame, text, (10, H - ((i * 20) + 20)), cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 0, 255), 2)
cv2.imshow("Frame", frame)
key = cv2.waitKey(0) & 0xFF
if key == ord("s"):
initBB = cv2.selectROI("Frame", frame, fromCenter=False, showCrosshair=True)
tracker = create()
tracker.init(frame, initBB)
elif key == ord("q"):
break
if not args.get("video", False):
vs.stop()
else:
vs.release()
cv2.destroyAllWindows()