python實作深度學習中原始影像與預測結果疊置輸出
講解
略
代碼
from PIL import Image
def add_alpha_channel(img):
img = Image.open(img)
img = img.convert('RGBA')
# 更改影像透明度
# factor = 0.7
# img_blender = Image.new('RGBA', img.size, (0, 0, 0, 0))
# img = Image.blend(img_blender, img, factor)
return img
def image_together(image, layer, save_path, save_name):
layer = layer
base = image
bands = list(layer.split())
heigh, width = layer.size
for i in range(heigh):
for j in range(width):
r, g, b, a = layer.getpixel((i, j))
if r == 0:
layer.putpixel((i, j), (0, 0, 0, 0))
else:
layer.putpixel((i, j), (256, 0, 0, 200))
base.paste(layer, (0, 0), layer) # 貼圖操作
base.save(save_path + "/" + save_name + ".png") # 圖片保存
if __name__ == "__main__":
image = add_alpha_channel(r"")
layer = add_alpha_channel(r"")
image_together(image, layer, r"", "")
運行結果
運行前
運行后
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標籤：python
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