from PIL import Image import colorsys import os # 遍历目录下所有png文件 for filename in os.listdir('.'): if filename.endswith('.png'): # 打开图片 image = Image.open(filename) # 无插值缩放为64x64 image = image.resize((64, 64), resample=Image.NEAREST) image = image.convert('RGBA') # 将所有纯绿色的部分替换为透明 pixdata = image.load() width, height = image.size for y in range(height): for x in range(width): r, g, b, a = pixdata[x, y] h, s, v = colorsys.rgb_to_hsv(r, g, b) # 判断绿色区域并替换为透明 if 90 <= h and h <= 150 and 0.3 <= s and s <= 1.0 and 0.3 <= v and v <= 1.0: pixdata[x, y] = (0, 0, 0, 0) # 保存图片 image.save(filename) print(filename)

Sometimes you need a python script to mass handle the green back ground and the size issue.

Dear friend! Can you tell us more about how you trained the model, and also how soon you will release a new version?