Use Python and OpenCV to remove black edges of images in batches

Import Osimport cv2import numpy as npfrom scipy.stats import modeimport timeimport concurrent.futures ' ' multi-process To crop pictures. " def crop (file_path_list): Origin_path, Save_path = file_path_list img = cv2.imread (origin_path) Gray = Cv2.cvtcol Or (IMG, CV2.    Color_bgr2gray) Closed_1 = Cv2.erode (Gray, none, iterations=4) Closed_1 = Cv2.dilate (Closed_1, none, iterations=4) Blurred = Cv2.blur (Closed_1, (9, 9)) # Get the most frequent pixel num = mode (Blurred.flat) [0][0] + 1 # The THR Eshold depends on the mode of your images ' pixels num = num if num <=-Else 1 _, Thresh = Cv2.threshold (blurred , NUM, 255, Cv2.    thresh_binary) # You can control the size of kernel according your need. Kernel = Np.ones ((), np.uint8) closed_2 = Cv2.erode (Thresh, kernel, iterations=4) closed_2 = cv2.dilate (closed _2, Kernel, iterations=4) _, CNTs, _ = Cv2.findcontours (Closed_2.copy (), Cv2. Retr_external, Cv2. Chain_approx_simple) c = Sorted (CNTs, KEy=cv2.contourarea, Reverse=true) [0] # Compute the rotated bounding box of the largest contour rect = Cv2.minarearec    T (c) box = Np.int0 (cv2.boxpoints (rect)) # Draw a bounding box arounded the detected barcode and display the image # cv2.drawcontours (IMG, [box],-1, (0, 255, 0), 3) # cv2.imshow ("Image", IMG) # cv2.imwrite ("Pic.jpg", IMG) # CV  2.waitKey (0) xs = [i[0] for I in box] ys = [i[1] for I in box] x1 = min (xs) x2 = max (xs) y1 = min (ys) y2 = Max (ys) height = y2-y1 width = x2-x1 crop_img = img[y1:y1 + height, x1:x1 + width] Cv2.imwrite (save_pat H, crop_img) # cv2.imshow ("Image", crop_img) # cv2.waitkey (0) print (f ' The {Origin_path} finish crop, most Frequen        T pixel is {num} ') def multi_process_crop (Input_dir): With Concurrent.futures.ProcessPoolExecutor () as executor: Executor.map (crop, input_dir) if __name__ = = "__main__": Data_dir = ' Save_dir = ' path_list = [(Os.path.join (DA Ta_dir, O), Os.path.join(Save_dir, O)) For O in Os.listdir (data_dir)] start = Time.time () multi_process_crop (path_list) print (f ' Total cost {time.time ()- Start} seconds ')

Use Python and OpenCV to remove black edges of images in batches