up

education/process_logo.py

@@ -0,0 +1,146 @@
+#!/usr/bin/env python3
+"""
+Writech 商标图像处理脚本
+- 去除蓝色底色，生成透明 PNG
+- 系列化简洁处理，适配商标注册
+"""
+from PIL import Image, ImageFilter, ImageDraw
+import os
+
+SRC = "/Users/jiahong/Library/Application Support/Qoder/SharedClientCache/cache/images/7702e5b9/截屏2026-03-04 10.30.55-0be34715.jpg"
+OUT_DIR = "/Users/jiahong/Documents/Job/docs/jiahong_docs/education/writech_logo"
+os.makedirs(OUT_DIR, exist_ok=True)
+
+img = Image.open(SRC).convert("RGBA")
+w, h = img.size
+pixels = img.load()
+
+# ========== 1. 去蓝色底色 → 透明 PNG ==========
+def remove_blue_bg(image, tolerance=100):
+    """将蓝色背景区域变为透明"""
+    result = image.copy()
+    px = result.load()
+    for y in range(result.height):
+        for x in range(result.width):
+            r, g, b, a = px[x, y]
+            # 蓝色背景特征: B高, R低, G中低
+            # 原图蓝色约 (70, 130, 210) 左右
+            if b > 140 and r < 130 and b > r + 40:
+                # 越接近纯蓝越透明
+                blue_ratio = (b - r) / max(b, 1)
+                if blue_ratio > 0.3:
+                    px[x, y] = (r, g, b, 0)
+            # 处理边缘过渡区 (半透明)
+            elif b > 120 and r < 150 and b > r + 20:
+                alpha = int(255 * (1 - (b - r) / max(b, 1)))
+                alpha = max(0, min(255, alpha))
+                px[x, y] = (r, g, b, alpha)
+    return result
+
+print("生成 1: 透明底色原图...")
+transparent = remove_blue_bg(img)
+transparent.save(os.path.join(OUT_DIR, "writech_logo_transparent.png"), "PNG")
+
+# ========== 2. 纯绿色线条版 (最简洁, 商标注册首选) ==========
+print("生成 2: 纯绿色线条版...")
+def extract_green_lines(image):
+    """提取绿色线条，黑色描边，白色/透明背景"""
+    result = Image.new("RGBA", image.size, (0, 0, 0, 0))
+    px_src = image.load()
+    px_dst = result.load()
+    for y in range(image.height):
+        for x in range(image.width):
+            r, g, b, a = px_src[x, y]
+            # 绿色线条: G高, R中高, B低
+            # 原图绿色约 (160, 210, 50) 左右
+            if g > 140 and g > b + 50 and g > r * 0.8:
+                # 保留为纯绿色
+                intensity = g / 255.0
+                px_dst[x, y] = (100, 190, 60, int(255 * intensity))
+    return result
+
+green_lines = extract_green_lines(img)
+green_lines.save(os.path.join(OUT_DIR, "writech_logo_green_lines.png"), "PNG")
+
+# ========== 3. 纯黑色线条版 (单色商标注册) ==========
+print("生成 3: 纯黑色线条版...")
+def extract_black_lines(image):
+    """提取线条并转为纯黑色，适合单色商标"""
+    result = Image.new("RGBA", image.size, (0, 0, 0, 0))
+    px_src = image.load()
+    px_dst = result.load()
+    for y in range(image.height):
+        for x in range(image.width):
+            r, g, b, a = px_src[x, y]
+            if g > 140 and g > b + 50 and g > r * 0.8:
+                intensity = g / 255.0
+                px_dst[x, y] = (0, 0, 0, int(255 * intensity))
+    return result
+
+black_lines = extract_black_lines(img)
+black_lines.save(os.path.join(OUT_DIR, "writech_logo_black.png"), "PNG")
+
+# ========== 4. 白底黑线版 (传统商标注册用) ==========
+print("生成 4: 白底黑线版...")
+white_bg = Image.new("RGBA", img.size, (255, 255, 255, 255))
+white_bg = Image.alpha_composite(white_bg, black_lines)
+white_bg.save(os.path.join(OUT_DIR, "writech_logo_white_bg_black.png"), "PNG")
+
+# ========== 5. 白底绿线版 ==========
+print("生成 5: 白底绿线版...")
+white_bg2 = Image.new("RGBA", img.size, (255, 255, 255, 255))
+white_bg2 = Image.alpha_composite(white_bg2, green_lines)
+white_bg2.save(os.path.join(OUT_DIR, "writech_logo_white_bg_green.png"), "PNG")
+
+# ========== 6. 正方形裁切版 (适配商标规范尺寸) ==========
+print("生成 6: 正方形版本...")
+size = max(w, h)
+square = Image.new("RGBA", (size, size), (0, 0, 0, 0))
+offset_x = (size - w) // 2
+offset_y = (size - h) // 2
+square.paste(transparent, (offset_x, offset_y), transparent)
+# 缩放到标准尺寸 1000x1000
+square_1000 = square.resize((1000, 1000), Image.LANCZOS)
+square_1000.save(os.path.join(OUT_DIR, "writech_logo_square_1000.png"), "PNG")
+
+# ========== 7. 小尺寸 icon 版 (256x256, 128x128, 64x64) ==========
+print("生成 7: 多尺寸 icon...")
+for sz in [512, 256, 128, 64]:
+    icon = square.resize((sz, sz), Image.LANCZOS)
+    icon.save(os.path.join(OUT_DIR, f"writech_icon_{sz}.png"), "PNG")
+
+# ========== 8. 商标注册专用 - 极简轮廓版 ==========
+print("生成 8: 极简轮廓版...")
+# 先提取绿色通道做灰度，然后二值化得到清晰轮廓
+gray = img.convert("L")
+# 使用绿色通道强度作为阈值参考
+r_ch, g_ch, b_ch, a_ch = img.split()
+# 绿色减蓝色 = 线条区域
+from PIL import ImageChops
+diff = ImageChops.subtract(g_ch, b_ch)
+# 二值化
+threshold = 60
+binary = diff.point(lambda p: 255 if p > threshold else 0, mode='1')
+# 转回 RGBA 透明底
+outline = Image.new("RGBA", img.size, (0, 0, 0, 0))
+px_bin = binary.load()
+px_out = outline.load()
+for y in range(img.height):
+    for x in range(img.width):
+        if px_bin[x, y]:
+            px_out[x, y] = (0, 0, 0, 255)
+outline.save(os.path.join(OUT_DIR, "writech_logo_outline.png"), "PNG")
+
+# 白底轮廓版
+white_outline = Image.new("RGBA", img.size, (255, 255, 255, 255))
+white_outline = Image.alpha_composite(white_outline, outline)
+white_outline.save(os.path.join(OUT_DIR, "writech_logo_outline_white.png"), "PNG")
+
+print(f"\n✅ 全部完成！输出目录: {OUT_DIR}")
+print("生成文件列表:")
+for f in sorted(os.listdir(OUT_DIR)):
+    if f.endswith('.png'):
+        fpath = os.path.join(OUT_DIR, f)
+        fsize = os.path.getsize(fpath)
+        im = Image.open(fpath)
+        print(f"  {f:45s} {im.size[0]:5d}x{im.size[1]:<5d} {fsize//1024:>5d} KB")