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I'm attempting to take an image such as this one, containing nothing more than a grayscale image: a grayscale image of a cube. I need at least 10 rep to post images, which is why this isn't embedded. I then want to retrieve and save the contours of said im...

我已经用我的自定义mnist图像建立了模型。现在，我正在尝试预测该图像中单个图像的多个数字，而我的模型必须预测该图像中的所有数字，这些数字将从0到9。 以下是我尝试过的代码： import numpy as np,cv2,imutils from sklearn.externals import joblib from keras.models import load_model img = cv2.imread('zip.jpg') img = imutils.resize(img,width=300) ...