# find contours and get one with area about 180*35 Thresh = cv2.threshold(gray, 30, 255, cv2.THRESH_BINARY) Gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) Here is one way to do that in Python/OpenCV. Help is appreciated, since I'm kind of unexperienced with OpenCV. If this should be the wrong way of doing it, please correct me. I tried it with cv2.findContours(image, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE) and a few other functions, but I was not successful yet.
Now I want to crop the image to the big box in the middle only, but I'm not able to detect the contours of it. Type each command below and wait until scan is completed. Open command prompt with administrator access 2.
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With this being done the program outputs this: Method 1: Perform SFC Scan and Repair Windows Image -This process will perform scan for any corrupted system files or integrity violation and will attempt to repair it along with the Windows Image. #invert colors, so every dark spots are now white Ret, thresh = cv2.threshold(s, 8, 255, cv2.THRESH_BINARY) #get the saturation plane - all black/white/gray pixels are zero, and colored pixels are above zero. Hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV) Img = cv2.imread('rdm_generated_image.png') So far I was able to input it, convert its colors to a HSV color space and applying threshold on it. I'm struggling with cropping an image to the size of a rectangle, which is placed inside of the image. Costway 2 Pcs 48.5'' Raised Garden Bed Square Plant Box Planter Flower Vegetable White.
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