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ZhaoCake · Nov 4, 2024 · 93adfe1 · 93adfe1
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diff --git a/.nojekyll b/.nojekyll
diff --git a/404.html b/404.html
diff --git a/assert/2864050b72b9d46a9b6be7971b8295c5.png b/assert/2864050b72b9d46a9b6be7971b8295c5.png
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diff --git a/assert/cvt_touming.py b/assert/cvt_touming.py
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+import cv2
+from PIL import Image
+import numpy as np
+
+# 读取图像
+image = cv2.imread('zhao.png')
+
+# 将图像从BGR转换到灰度
+gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+
+# 应用阈值操作，
+# 将灰度图像转换为二值图像
+_, thresh_image = cv2.threshold(gray_image, 70, 255, cv2.THRESH_BINARY)
+
+# 创建alpha通道，黑色部分为0（透明），白色部分为255（不透明）
+alpha_channel = 255 - thresh_image
+
+# 创建全白色的图像、
+# 用于合并到alpha通道中
+white_image = 255 * np.ones_like(gray_image)
+
+# 将BGR图像和alpha通道合并成BGRA格式
+bgra_image = cv2.merge((white_image, alpha_channel))
+
+# 使用Pillow库保存图像，因为OpenCV不支持保存PNG透明图像
+pil_image = Image.fromarray(bgra_image)
+pil_image = pil_image.convert("RGBA")  # 确保图像是RGBA格式
+pil_image.save('zhao.png', 'PNG')
+
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