Upload exam.1

exam/calltest.py

+from subprocess import *
+import os
+# 执行用户完成的脚本
+# call('python step1/preprocessTest.py')
+# call('python step2/dataAugmentationTest.py')
+# call('python step3/generatorTest.py')
+# call('python step4/AlexNetTest.py')
+# call('python step5/VGGPreprocessTest.py')
+# call('python step6/VGGNetTest.py')
+# call('python step7/InceptionTest.py')
+# call('python step8/ResNetTest.py')
+# call('python step9/outputsUtilsTest.py')
+# call('python step10/TrainSaveLoadTest.py')
+call('python step10/AnsAlexNet.py')
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exam/step1/preprocessCompleted.py

+import cv2
+import os
+
+def changeSize(BasePath='data/testSet', targetPath='data/userOutputs'):
+
+    for root, dirs, files in os.walk(BasePath):
+        for fileName in files:
+            file=os.path.join(root,fileName)
+            try:
+                image=cv2.imread(file)
+                dim=(224,224)
+                resized=cv2.resize(image,dim)
+                if root.endswith('train'):
+                    targetSet = 'train_224'
+                else:
+                    targetSet = 'valid_224'
+
+                target_path=os.path.join(targetPath,targetSet,fileName)
+                cv2.imwrite(target_path,resized)
+
+            except:
+                print(file)
+                print('file error')
+                os.remove(file)
+
+if __name__ == '__main__':
+    changeSize()
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exam/step1/preprocessForUsers.py

+import cv2
+import os
+
+def changeSize(BasePath='data/testSet', targetPath='data/userOutputs'):
+    '''
+    请使用os.walk()循环origin目录下的全部文件,使用cv2改变图片尺寸为(224,224)
+    BasePath中文件夹有两个，分别是‘train’ 和 'valid'
+    targetPath中文件夹有两个，分别是'train_224'和'valid_224'
+    图片名可以不变
+    :param BasePath:原始图片所在路径，类型为str
+    :param targetPath:处理后图片保存的路径，类型为str
+    :return:无
+    '''
+
+    #********** Begin **********#
+
+    #********** End **********#
+
+
+if __name__ == '__main__':
+    changeSize()
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exam/step1/preprocessTest.py

+import os
+import filecmp
+
+from preprocessForUsers import changeSize
+
+changeSize()
+
+correctTrainPath = 'data/rightOutputs/train_224'
+correctValidPath = 'data/rightOutputs/valid_224'
+userTrainPath = 'data/userOutputs/train_224'
+userValidPath = 'data/userOutputs/valid_224'
+
+usertTrainFile = os.listdir(userTrainPath)
+usertValidFile = os.listdir(userValidPath)
+
+if len(usertTrainFile) \u003c= 1:
+    print('未能通过本关测试!没有正确生成处理后图片。', end='')
+    exit()
+
+if len(usertValidFile) \u003c= 1:
+    print('未能通过本关测试!没有正确生成处理后图片。', end='')
+    exit()
+
+try:
+    for imgUserTrainName in usertTrainFile:
+
+        if imgUserTrainName != '.gitignore':
+
+            # 从用户的输出文件中抽取样本，一个是用户输出的训练集，一个是用户输出的验证集
+            # 获取对应文件名
+            imgUserTrainPath = os.path.join(userTrainPath, imgUserTrainName)
+
+            # 找到正确文件中的对应样本的路径
+            imgCorrectTrainPath = os.path.join(correctTrainPath,imgUserTrainName)
+
+            bool = filecmp.cmp(imgCorrectTrainPath, imgUserTrainPath)
+
+
+            if not bool:
+                print('未能通过本关测试!',end='')
+                break
+    else:
+        for imgUserValidName in usertValidFile:
+            if imgUserValidName != '.gitignore':
+            # 从用户的输出文件中抽取样本，一个是用户输出的训练集，一个是用户输出的验证集
+            # 获取对应文件名
+                imgUserValidPath = os.path.join(userValidPath, imgUserValidName)
+                imgCorrectValidPath = os.path.join(correctValidPath, imgUserValidName)
+                bool = filecmp.cmp(imgCorrectValidPath, imgUserValidPath)
+
+                if not bool:
+                    print('未能通过本关测试!', end='')
+                    break
+        else:
+            print('恭喜你通过本关测试!', end='')
+            try:
+                os.remove('data/userOutputs/valid_224/.gitignore')
+                os.remove('data/userOutputs/train_224/.gitignore')
+            except:
+                pass
+#
+except:
+    print('未能通过本关测试!',end='')
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