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这篇文章给大家分享的是有关如何实现python图片格式转换脚本的内容。小编觉得挺实用的,因此分享给大家做个参考,一起跟随小编过来看看吧。
pip install opencv-python之后就可以import cv2
import os import cv2 import sys import numpy as np
path = r"C:\\Users\\86775\\PycharmProjects\\pythonProject2\\ResNet\\test_change\\" path3 = r"C:\\Users\\86775\\PycharmProjects\\pythonProject2\\ResNet\\test_change2\\"
1.3.1 用os.path.splitext()来判断
images = os.listdir(path) for i in os.listdir(path): print(os.path.splitext(i)) # ('34474006827920603', '.png') if os.path.splitext(i)[1] == ".jpeg": img = cv2.imread(path + i) # print(img) new_imagename = i.replace(".jpeg", ".jpg") cv2.imwrite(path3 + new_imagename, img) elif os.path.splitext(i)[1] == ".png": img = cv2.imread(path + i) # print(img) new_imagename = i.replace(".png", ".jpg") cv2.imwrite(path3 + new_imagename, img) elif os.path.splitext(i)[1] == ".JPG": img = cv2.imread(path + i) # print(img) new_imagename = i.replace(".JPG", ".jpg") cv2.imwrite(path3 + new_imagename, img) elif os.path.splitext(i)[1] == ".PNG": img = cv2.imread(path + i) # print(img) new_imagename = i.replace(".PNG", ".jpg") cv2.imwrite(path3 + new_imagename, img) elif os.path.splitext(i)[1] == ".jpg": img = cv2.imread(path + i) # print(img) cv2.imwrite(path3 + i, img)
1.3.2 用split()来判断
images = os.listdir(path) for i in os.listdir(path): print(i.split(".")) if i.split(".")[1] == "jpeg": img = cv2.imread(path + i) # print(img) new_imagename = i.replace(".jpeg", ".jpg") cv2.imwrite(path3 + new_imagename, img) elif i.split(".")[1] == "png": img = cv2.imread(path + i) # print(img) new_imagename = i.replace(".png", ".jpg") cv2.imwrite(path3 + new_imagename, img) elif i.split(".")[1] == "JPG": img = cv2.imread(path + i) # print(img) new_imagename = i.replace(".JPG", ".jpg") cv2.imwrite(path3 + new_imagename, img) elif i.split(".")[1] == "PNG": img = cv2.imread(path + i) # print(img) new_imagename = i.replace(".PNG", ".jpg") cv2.imwrite(path3 + new_imagename, img) elif i.split(".")[1] == "jpg": img = cv2.imread(path + i) # print(img) cv2.imwrite(path3 + i, img)
pip install pillow之后就可以from PIL import Image
import os from PIL import Image
path2 = r"C:\\Users\\86775\\PycharmProjects\\pythonProject2\\ResNet\\test_change\\" path3 = r"C:\\Users\\86775\\PycharmProjects\\pythonProject2\\ResNet\\test_change2\\"
RGBA意思是红色,绿色,蓝色,Alpha的色彩空间,Alpha指透明度,而JPG不支持透明度。
所以其他格式不转jpg可以直接保存为.png格式,转jpg就需要丢弃Alpha
img = img.convert(“RGB”),转换成RGB,保证和jpg格式的通道数相同,也算一种图片类型变换的防报错机制
def jpeg2jpg(path_in, path_out): img = Image.open(path_in) img = img.convert("RGB") img.save(path_out, "JPEG", quality=80, optimize=True, progressive=True) def png2jpg(path_in, path_out): img = Image.open(path_in) img = img.convert("RGB") img.save(path_out, "JPEG", quality=80, optimize=True, progressive=True) def JPG2jpg(path_in, path_out): img = Image.open(path_in) img = img.convert("RGB") img.save(path_out, "JPEG", quality=80, optimize=True, progressive=True) def PNG2jpg(path_in, path_out): img = Image.open(path_in) img = img.convert("RGB") img.save(path_out, "JPEG", quality=80, optimize=True, progressive=True) def jpg2jpg(path_in, path_out): img = Image.open(path_in) img = img.convert("RGB") img.save(path_out, "JPEG", quality=80, optimize=True, progressive=True)
images = os.listdir(path2) for i in images: print(i) if os.path.splitext(i)[1] == ".jpeg": source = path2 + "\\" + str(i.split(".")[0]) + ".jpeg" target = path3 + "\\" + str(i.split(".")[0]) + ".jpg" jpeg2jpg(source, target) elif os.path.splitext(i)[1] == ".png": source = path2 + "\\" + str(i.split(".")[0]) + ".png" target = path3 + "\\" + str(i.split(".")[0]) + ".jpg" png2jpg(source, target) elif os.path.splitext(i)[1] == ".JPG": source = path2 + "\\" + str(i.split(".")[0]) + ".JPG" target = path3 + "\\" + str(i.split(".")[0]) + ".jpg" JPG2jpg(source, target) elif os.path.splitext(i)[1] == ".PNG": source = path2 + "\\" + str(i.split(".")[0]) + ".PNG" target = path3 + "\\" + str(i.split(".")[0]) + ".jpg" PNG2jpg(source, target) elif os.path.splitext(i)[1] == ".jpg": source = path2 + "\\" + str(i.split(".")[0]) + ".jpg" target = path3 + "\\" + str(i.split(".")[0]) + ".jpg" jpg2jpg(source, target)
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