Dlib cropped images are blue

I am using D-lib to extract certain areas of a face. I am using opencv to crop the areas detected using dlib landmarking points detector. However, the cropped images are blue in colour. Any idea on why the change? And also I am finding some of the images are skipping this code. So, for example if I have 20 images in my source folder, after running them through the dlib detector, I should be getting 40 resultant images int he destination folder as I am extracting two images from every input. But that is not the case. I am getting only 15-20 images. But they are running in the program and they are not those exceptions added in my program. Please find my code below:- and also find the images attached. ``` import sys import os import dlib import glob from skimage import io import cv2 predictor_path = "/home[![enter image description here][1]][1]/PycharmProjects/Face_recognition/shape_predictor_68_face_landmarks.dat" faces_folder_path = "/media/External_HDD/My_files/Datasets" detector = dlib.get_frontal_face_detector() predictor = dlib.shape_predictor(predictor_path) win = dlib.image_window() a=[] number=1 scanned=1 for f in glob.glob(os.path.join(faces_folder_path, "*.png")): print("Processing file: {}".format(f)) img = io.imread(f) name=f[-14:-4] print("Number of images scanned is :",scanned) scanned=scanned+1 win.clear_overlay() win.set_image(img) # Ask the detector to find the bounding boxes of each face. The 1 in the # second argument indicates that we should upsample the image 1 time. This # will make everything bigger and allow us to detect more faces. dets = detector(img, 1) print("Number of faces detected: {}".format(len(dets))) if len(dets)>1: print ("The file has an anomaly") a.append(name) print("The number of anomalies detected: {}".format(len(a))) continue for k, d in enumerate(dets): print("Detection {}: Left: {} Top: {} Right: {} Bottom: {}".format( k, d.left(), d.top(), d.right(), d.bottom())) # Get the landmarks/parts for the face in box d. shape = predictor(img, d) print("Part 0: {}, Part 1: {} ...".format(shape.part(0), shape.part(1))) print ("Part 27: {}, Part 19: {}, Part 0: {}, Part 28: {}".format(shape.part(27),shape.part(19),shape.part(0),shape.part(28))) left_corner= shape.part(17) left_x= left_corner.x left_y=left_corner.y left_y=left_y-200 center=shape.part(29) center_x=center.x center_y=center.y print (left_x,left_y) print (center_x,center_y) right_crop_center_x=center_x right_crop_center_y=center_y-700 right=shape.part(15) right_x=right.x right_x=right_x-200 right_y=right.y os.chdir("/home/PycharmProjects/cropped") win.add_overlay(shape) crop_left= img[left_y:center_y,left_x:center_x] # cv2.imshow("cropped_left", crop_left) cv2.imwrite(name + "_crop_left" +".png" ,crop_left) crop_right=img[right_crop_center_y:right_y,right_crop_center_x:right_x] # cv2.imshow("cropped_right", crop_right) cv2.imwrite(name + "_crop_right" +".png",crop_right) print("Number of images completed is :{}".format(number)) number = number + 1 cv2.waitKey(2) print len(a) ```