Tracking multiple objects with OpenCV

multi_object_tracking.py

# https://www.pyimagesearch.com/2018/08/06/tracking-multiple-objects-with-opencv/

# USAGE
# python multi_object_tracking.py --video videos/soccer_01.mp4 --tracker csrt

# import the necessary packages
from imutils.video import VideoStream
import argparse
import imutils
import time
import cv2

# construct the argument parser and parse the arguments
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())

# initialize a dictionary that maps strings to their corresponding
# OpenCV object tracker implementations
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
}

# initialize OpenCV's special multi-object tracker
trackers = cv2.MultiTracker_create()

# if a video path was not supplied, grab the reference to the web cam
if not args.get("video", False):
	print("[INFO] starting video stream...")
	vs = VideoStream(src=0).start()
	time.sleep(1.0)

# otherwise, grab a reference to the video file
else:
	vs = cv2.VideoCapture(args["video"])

# loop over frames from the video stream
while True:
	# grab the current frame, then handle if we are using a
	# VideoStream or VideoCapture object
	frame = vs.read()
	frame = frame[1] if args.get("video", False) else frame

	# check to see if we have reached the end of the stream
	if frame is None:
		break

	# resize the frame (so we can process it faster)
	frame = imutils.resize(frame, width=600)

	# grab the updated bounding box coordinates (if any) for each
	# object that is being tracked
	(success, boxes) = trackers.update(frame)

	# loop over the bounding boxes and draw then on the frame
	for box in boxes:
		(x, y, w, h) = [int(v) for v in box]
		cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)

	# show the output frame
	cv2.imshow("Frame", frame)
	key = cv2.waitKey(1) & 0xFF

	# if the 's' key is selected, we are going to "select" a bounding
	# box to track
	if key == ord("s"):
		# select the bounding box of the object we want to track (make
		# sure you press ENTER or SPACE after selecting the ROI)
		box = cv2.selectROI("Frame", frame, fromCenter=False,
			showCrosshair=True)

		# create a new object tracker for the bounding box and add it
		# to our multi-object tracker
		tracker = OPENCV_OBJECT_TRACKERS[args["tracker"]]()
		trackers.add(tracker, frame, box)

	# if the `q` key was pressed, break from the loop
	elif key == ord("q"):
		break

# if we are using a webcam, release the pointer
if not args.get("video", False):
	vs.stop()

# otherwise, release the file pointer
else:
	vs.release()

# close all windows
cv2.destroyAllWindows()

I am trying to save the output file (.avi) and the bounding box (initBB). I tried to use cv2.videowriter but it shows indent error.

update the tracker methods to cv2.TrackerCSRT_create() from cv2.TrackerCSRT_create if you face compilation issues

and use a fresh pip install of opencv by "pip install opencv-contrib-python==4.2.0.34"

That is because the tutorial has tabs button as space. If you make the tabs and spaces to single format, it will work

This code is only running the videos and not giving any option to create bounding boxes..