文章目录 前言一、pandas是什么?二、使用步骤 1.引入库2.读入数据总结提示:文章写完后,目录可以自动生成,如何生成可参考右边的帮助文档
前言
用PIL.Image 来转换通道
提示:以下是本篇文章正文内容,下面案例可供参考
#单通道转三通道
def one_to_three():
img_path = r'./test_imgs'
save_img_path = r'./test_imgs'
for file in os.listdir(img_path):
image = Image.open(os.path.join(img_path, file))
image=image.convert("RGB")
image.save(os.path.join(save_img_path, file))
二、三通道转单通道
def three_to_one():
img_path = r'./test_imgs'
save_img_path = r'./test_imgs'
for file in os.listdir(img_path):
image = Image.open(os.path.join(img_path, file))
image=image.convert("L")
image.save(os.path.join(save_img_path, file))
三、检查
def check():
img_path = r'./test_imgs'
print("begin:")
for file in os.listdir(img_path):
image = Image.open(os.path.join(img_path, file))
print(np.array(image).shape)
总结
import cv2
from PIL import Image
import os
import numpy as np
def one_to_three():
img_path = r'./test_imgs'
save_img_path = r'./test_imgs'
for file in os.listdir(img_path):
image = Image.open(os.path.join(img_path, file))
image=image.convert("RGB")
image.save(os.path.join(save_img_path, file))
def three_to_one():
img_path = r'./test_imgs'
save_img_path = r'./test_imgs'
for file in os.listdir(img_path):
image = Image.open(os.path.join(img_path, file))
image=image.convert("L")
image.save(os.path.join(save_img_path, file))
def check():
img_path = r'./test_imgs'
print("begin:")
for file in os.listdir(img_path):
image = Image.open(os.path.join(img_path, file))
print(np.array(image).shape)
if __name__=="__main__":
one_to_three()
check()
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