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
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import os
import cv2
import sys
import numpy as nppath = 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 Imagepath2 = 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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