# 加载图片 读取彩色图像归一化且转换为浮点型
image = cv2.imread(input_img_path, cv2.IMREAD_COLOR).astype(np.float32) / 255.0
# 颜色空间转换 BGR转为HLS
hlsImg = cv2.cvtColor(image, cv2.COLOR_BGR2HLS)
# 1.调整亮度（线性变换)
hlsImg[:, :, 1] = (1.0 + lightness / float(MAX_VALUE)) * hlsImg[:, :, 1]
hlsImg[:, :, 1][hlsImg[:, :, 1] > 1] = 1
# 饱和度
hlsImg[:, :, 2] = (1.0 + saturation / float(MAX_VALUE)) * hlsImg[:, :, 2]
hlsImg[:, :, 2][hlsImg[:, :, 2] > 1] = 1
# HLS2BGR
lsImg = cv2.cvtColor(hlsImg, cv2.COLOR_HLS2BGR) * 255
lsImg = lsImg.astype(np.uint8)
cv2.imwrite(output_img_path, lsImg)
dataset_dir = 'imgs'
output_dir = 'output'
#这里调参！！！
lightness = int(input("lightness(亮度-100~+100):")) # 亮度
saturation = int(input("saturation(饱和度-100~+100):")) # 饱和度
# 获得需要转化的图片路径并生成目标路径
image_filenames = [(os.path.join(dataset_dir, x), os.path.join(output_dir, x))
for x in os.listdir(dataset_dir)]
# 转化所有图片
for path in image_filenames:
update(path[0], path[1], lightness, saturation)
