This error shows when I run the code on Anaconda(jupyter notebook), but it's work fine in pycharm. The full error message is " ValueError Traceback (most recent call last) <ipython-input-3-473e4a69ef15> in <module> 30 dilated = cv2.dilate(thresh, None, iterations=3) 31 contours, _ = cv2.findContours(dilated, cv2.RETR_TREE, ---> 32 cv2.CHAIN_APPROX_SIMPLE) 33 34 k = cv2.drawContours(frame1, contours, -1, (0, 255, 0), 2)
ValueError: too many values to unpack (expected 2)"
And the code is "
cap = cv2.VideoCapture(0) frame_width = int( cap.get(cv2.CAP_PROP_FRAME_WIDTH))
frame_height =int( cap.get( cv2.CAP_PROP_FRAME_HEIGHT))
fourcc = cv2.VideoWriter_fourcc('X','V','I','D')
out = cv2.VideoWriter("output.avi", fourcc, 5.0, (1280,720))
ret, frame1 = cap.read() ret, frame2 = cap.read()
camera_height = 500 raw_frames_type_1 = []
while cap.isOpened(): _, frame = cap.read()
aspect = frame.shape[1] / float(frame.shape[0])
res = int(aspect * camera_height) # landscape orientation - wide image
frame = cv2.resize(frame, (res, camera_height))
cv2.rectangle(frame, (300, 75), (650, 425), (0, 255, 0), 2)
cv2.imshow("Capturing frames", frame)
diff = cv2.absdiff(frame1, frame2)
gray = cv2.cvtColor(diff, cv2.COLOR_BGR2GRAY)
blur = cv2.GaussianBlur(gray, (5,5), 0)
_, thresh = cv2.threshold(blur, 20, 255, cv2.THRESH_BINARY)
dilated = cv2.dilate(thresh, None, iterations=3)
contours, _ = cv2.findContours(dilated, cv2.RETR_TREE,
cv2.CHAIN_APPROX_SIMPLE)
k = cv2.drawContours(frame1, contours, -1, (0, 255, 0), 2)
if k.all() == True:
raw_frames_type_1.append(frame)
print("hi")
else:
print ("bye")
image = cv2.resize(frame1, (1280,720))
out.write(image)
cv2.rectangle(frame1, (300, 75), (650, 425), (0, 0, 255), 2)
cv2.imshow("feed", frame1)
frame1 = frame2
ret, frame2 = cap.read()
key = cv2.waitKey(90)
if key & 0xFF == ord("q"):
break
cv2.destroyAllWindows() cap.release() out.release()
save_width = 300 save_height = 300
for i in range(1, 2): name = 'F:/test/images_type_{}'.format(i) os.makedirs(name, exist_ok=True) for i, frame in enumerate(raw_frames_type_1): roi = frame[75+2:425-2, 300+2:650-2] roi = cv2.cvtColor(roi, cv2.COLOR_BGR2RGB) roi = cv2.resize(roi, (save_width, save_height)) cv2.imwrite('F:/test/images_type_1/{}.png'.format(i), cv2.cvtColor(roi,cv2.COLOR_BGR2RGB))
