(1) #调整图像的大小 import cv2 image=cv2.imread('/home/mj/pictureSet/xy.jpeg') dim=(227,227)#调整大小为 resized=cv2.resize(image,dim) cv2.imwrite('/home/mj/pictureSet/xyresized.jpg',resized)
(2)
keras1 = tf.Variable(tf.truncated_normal([7,7,3,96])) biase1 = tf.Variable(tf.truncated_normal([96])) conv1 = tf.nn.conv2d(x_image,keras1,strides=[1,1,1,1],padding='SAME') h_conv1 = tf.nn.relu(conv1+biase1) MaxPoll1 = tf.nn.max_pool(h_conv1,ksize=[1,3,3,1],strides=[1,2,2,1],padding='SAME') lrn_1 = tf.nn.lrn(input=MaxPoll1,depth_radius=2,bias=0,alpha=1,beta=1)
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