Initial commit

03rectangle_dir.py

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+import os
+import cv2
+import numpy as np
+
+
+def process_png(file_path, output_folder):
+    image = cv2.imread(file_path, cv2.IMREAD_UNCHANGED)
+    if image is None:
+        print(f"无法读取图像：{file_path}")
+        return
+
+    if image.shape[2] < 4:
+        print(f"图像没有 alpha 通道：{file_path}")
+        return
+
+    alpha = image[:, :, 3]
+    _, thresh = cv2.threshold(alpha, 0, 255, cv2.THRESH_BINARY)
+    contours, _ = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
+
+    if not contours:
+        print(f"图像中没有非透明部分：{file_path}")
+        return
+
+    cnt = max(contours, key=cv2.contourArea)
+    rect = cv2.minAreaRect(cnt)
+    box = cv2.boxPoints(rect)
+    box = np.int32(box)
+
+    # 提取最小矩形内的图像并旋转
+    width = int(rect[1][0])
+    height = int(rect[1][1])
+
+    if width == 0 or height == 0:
+        print(f"最小矩形的宽度或高度为零：{file_path}")
+        return
+
+    src_pts = box.astype("float32")
+    # 定义目标点为水平矩形
+    dst_pts = np.array([
+        [0, height - 1],
+        [0, 0],
+        [width - 1, 0],
+        [width - 1, height - 1]
+    ], dtype="float32")
+
+    # 计算透视变换矩阵
+    M = cv2.getPerspectiveTransform(src_pts, dst_pts)
+    warped = cv2.warpPerspective(image, M, (width, height))
+
+    base, ext = os.path.splitext(os.path.basename(file_path))
+    extracted_filename = f"{base}_extracted{ext}"
+    extracted_path = os.path.join(output_folder, extracted_filename)
+
+    # 保存带 alpha 通道的图像
+    if warped.shape[2] == 4:
+        cv2.imwrite(extracted_path, warped)
+    else:
+        # 如果没有 alpha 通道，转换为 RGB
+        cv2.imwrite(extracted_path, cv2.cvtColor(warped, cv2.COLOR_BGR2RGB))
+
+    print(f"提取并旋转后的图像已保存为：{extracted_path}")
+
+
+def main():
+    input_folder = 'output'
+    output_folder = 'output2'
+
+    if not os.path.exists(output_folder):
+        os.makedirs(output_folder)
+
+    png_files = [f for f in os.listdir(input_folder) if f.lower().endswith('.png')]
+
+    if not png_files:
+        print("在指定的文件夹中未找到 PNG 文件。")
+        return
+
+    for filename in png_files:
+        file_path = os.path.join(input_folder, filename)
+        print(f"正在处理文件：{file_path}")
+        process_png(file_path, output_folder)
+
+
+if __name__ == "__main__":
+    main()