【python】使用滑动条调整图片亮度和饱和度，比PS还方便的图片处理，cv2

使用cv2调整图片亮度和饱和度，比PS还方便！

import numpy as np
import cv2

# 加载图片 读取彩色图像归一化且转换为浮点型
image = cv2.imread('./imgs/2.jpg', 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)

# 滑动条最大值
MAX_VALUE = 10
MAX_VALUE2 = 100
# 滑动条最小值
MIN_VALUE = 0

# 调节饱和度和亮度的窗口
cv2.namedWindow("lightness and saturation", cv2.WINDOW_GUI_NORMAL)

# 创建滑动块
cv2.createTrackbar("lightness", "lightness and saturation",
                    MIN_VALUE, MAX_VALUE, lambda x:x)
cv2.createTrackbar("saturation", "lightness and saturation",
                    MIN_VALUE, MAX_VALUE2, lambda x:x)

# 调整饱和度和亮度
while True:
    # 复制原图
    hlsCopy = np.copy(hlsImg)
    # 得到 lightness 和 saturation 的值
    lightness = cv2.getTrackbarPos('lightness', 'lightness and saturation')
    saturation = cv2.getTrackbarPos('saturation', 'lightness and saturation')
    # 调整亮度
    hlsCopy[:, :, 1] = (1.0 + lightness / float(MAX_VALUE)) * hlsCopy[:, :, 1]
    hlsCopy[:, :, 1][hlsCopy[:, :, 1] > 1] = 1
    # 饱和度
    hlsCopy[:, :, 2] = (1.0 + saturation / float(MAX_VALUE2)) * hlsCopy[:, :, 2]
    hlsCopy[:, :, 2][hlsCopy[:, :, 2] > 1] = 1
    # HLS2BGR
    lsImg = cv2.cvtColor(hlsCopy, cv2.COLOR_HLS2BGR)
    # 显示调整后的效果
    cv2.imshow("lightness and saturation", lsImg)
    ch = cv2.waitKey(5)
    # 按 ESC 键退出
    if ch == 27:
        break
    elif ch == ord('s'):
        # 按 s 键保存并退出
        lsImg = lsImg * 255
        lsImg = lsImg.astype(np.uint8)
        cv2.imwrite("./output/lsImg.jpg", lsImg)
        break
    
print("lightness(亮度):",int(lightness))
print("saturation(饱和度):",int(saturation))
# 关闭所有的窗口
cv2.destroyAllWindows()

使用方法：

1. 按 “s” 键保存并退出

2. 按esc键，不保存，直接退出

效果图：

输出：

lightness(亮度): 0
saturation(饱和度): 32