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实验八/2.pretrain.py

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+import cv2 as cv
+import os
+import tqdm
+
+# 处理图像
+def pretrain(img_path,output_path):
+    img=cv.imread(img_path, cv.IMREAD_GRAYSCALE)
+    _,img=cv.threshold(img,127,255,cv.THRESH_BINARY)
+    img=cv.blur(img,(3,3))
+    os.makedirs(os.path.dirname(output_path), exist_ok=True)
+    cv.imwrite(output_path, img)
+
+# 获取文件路径
+def get_img_name(directory, extensions=None):
+    if extensions is None:
+        extensions = ['.png', '.jpg','.jpeg']
+    files = []
+    for root, dirs, file_names in os.walk(directory):
+        for file_name in file_names:
+            if any(file_name.lower().endswith(ext) for ext in extensions):
+                files.append(os.path.join(root, file_name))
+    return files
+
+# 处理人脸数据集
+os.makedirs('cache/pretrained/face/', exist_ok=True)
+face_files=get_img_name('cache/dataset/face/')
+print('预处理人脸数据中：')
+for img_path in tqdm.tqdm(face_files):
+    relative_path=os.path.relpath(img_path, 'cache/dataset/face/')
+    output_path=os.path.join('cache/pretrained/face', relative_path)
+    pretrain(img_path, output_path)