![]() # draw all contours in green and accepted ones in redĬontours = cv2.findContours(thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)Ĭontours = contours if len(contours) = 2 else contoursĬv2.drawContours(result,, -1, (0, 255, 0), 1)Ĭv2. # 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) The rectangular window allows people to get a glimpse of your handmade creation. Here is one way to do that in Python/OpenCV. Made from 100 recycled paper, this soap box is a glossy white colour. 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. With this being done the program outputs this: #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) White Rectangular Planter (1 - 40 of 505 results) Price () Shipping All Sellers indoor plant pots rectangular/Ceramic large pots for plants/planter for succulents/succulent boat pot/white planter rectangular (3.4k) 36. 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. ![]()
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