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main.py
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main.py
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import numpy as np
import cv2
def run_main():
videoName = "crosswalk"
cap = cv2.VideoCapture(f'./resources/inputs/videos/{videoName}.avi')
# Read the first frame of the video
ret, frame = cap.read()
# Set the ROI (Region of Interest). Actually, this is a
# rectangle of the building that we're tracking
if videoName == "crosswalk":
c, r, w, h = 1080, 500, 30, 90
elif videoName == "fourway":
c, r, w, h = 1530, 150, 380, 895
track_window = (c, r, w, h)
# Create mask and normalized histogram
roi = frame[r:(r + h), c:(c + w)]
hsv_roi = cv2.cvtColor(roi, cv2.COLOR_BGR2HSV)
mask = cv2.inRange(hsv_roi, np.array((0., 30., 32.)), np.array((180., 255., 255.)))
roi_hist = cv2.calcHist([hsv_roi], [0], mask, [185], [0, 185])
cv2.normalize(roi_hist, roi_hist, 0, 255, cv2.NORM_MINMAX)
# Setup the termination criteria, either 80 iteration or move by atleast 1 pt
term_crit = (cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_COUNT, 80, 1)
while True:
ret, frame = cap.read()
if not ret:
break
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
dst = cv2.calcBackProject([hsv], [0], roi_hist, [0,180], 1)
ret, track_window = cv2.meanShift(dst, track_window, term_crit)
x, y, w, h = track_window
cv2.rectangle(frame, (x, y), (x + w, y + h), 255, 2)
cv2.putText(frame, 'Tracked', (x - 25, y - 10), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 2, cv2.LINE_AA)
cv2.imshow('Tracking', frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
if __name__ == "__main__":
run_main()