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video_object_localization.py
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video_object_localization.py
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import cv2
import pafy
from oln import ObjectLocalizationNet, remove_initializer_from_input
# Initialize video
# cap = cv2.VideoCapture("input.mp4")
videoUrl = 'https://youtu.be/vgJUXvkdS78'
videoPafy = pafy.new(videoUrl)
print(videoPafy.streams)
cap = cv2.VideoCapture(videoPafy.streams[-1].url)
start_time = 0 # skip first {start_time} seconds
cap.set(cv2.CAP_PROP_POS_FRAMES, start_time*30)
# Initialize object localizer
model_path = "models/oln_480x640.onnx"
remove_initializer_from_input(model_path, model_path) # Remove unused nodes
localizer = ObjectLocalizationNet(model_path, threshold=0.75)
cv2.namedWindow("Objects", cv2.WINDOW_NORMAL)
while cap.isOpened():
# Press key q to stop
if cv2.waitKey(1) == ord('q'):
break
try:
# Read frame from the video
ret, frame = cap.read()
if not ret:
break
except:
continue
# Update object localizer
detections, scores = localizer(frame)
combined_img = localizer.draw_detections(frame)
cv2.imshow("Objects", combined_img)