【Python】【图像处理】图片压缩方法

# -*- coding: UTF-8 -*-# 开发人员：萌狼蓝天# 博客：Https://mllt.cc# 笔记：Https://cnblogs.com/mllt# 哔哩哔哩/微信公众号：萌狼蓝天# 开发时间：2022/10/21importurllib.parseasparseimportcv2ascvfromPILimportImageimportnumpyasnpimportosdefzipJPG(img,level,outpath):
img=parse.unquote(img)
outpath=parse.unquote(outpath)
print(img)
img=img.replace("%20"," ")
outpath=outpath.replace("%20", " ")
print(img)
img=Image.open(img)  # 避免P模式图片造成异常# print(img.mode)# 转换图片模式为RGBimg=img.convert("RGB")
img=cv.cvtColor(np.asarray(img), cv.COLOR_RGB2BGR)
# 转换为np数组# [1]cv.IMREAD_COLOR：加载彩色图像，任何图像的透明度都会被忽略，它是默认标志# [0]cv.IMREAD_GRAYSCALE：以灰度模式加载图像# [-1]cv.IMREAD_UNCHANGED：加载图像，包括 alpha 通道try:
level=int(level)
except:
return"ERROR-IMG-ZIP-JPG-LEVEL"iflevel>100:
level=100iflevel<0:
level=0try:
cv.imwrite("./temp.jpg",img,[cv.IMWRITE_JPEG_QUALITY,level])
img=Image.open("temp.jpg")
img.save(outpath)
if(os.path.exists(outpath)):
returnoutpathelse:
return"ERROR-IMG-ZIP-JPG-WRITE"exceptExceptionase:
print(e)
return"ERROR-IMG-ZIP-JPG-DEAL"# 对于JPEG格式的图片，这个参数表示从0 - 100的图片质量(CV_IMWRITE_JPEG_QUALITY), 默认值是95.## 对于PNG格式的图片，这个参数表示压缩级别(CV_IMWRITE_PNG_COMPRESSION)从0 - 9.较高的值意味着更小的尺寸和更长的压缩时间而默认值是3.## 对于PPM，PGM或PBM格式的图片，这个参数表示一个二进制格式标志(CV_IMWRITE_PXM_BINARY)，取值为0或1，而默认值为1.# 判断文件是否存在，存在则返回成功，失败则返回失败

# -*- coding: UTF-8 -*-# 开发人员：萌狼蓝天# 博客：Https://mllt.cc# 笔记：Https://cnblogs.com/mllt# 哔哩哔哩/微信公众号：萌狼蓝天# 开发时间：2022/10/21importbase64importjsonfromfastapiimportFastAPI, QueryfrompydanticimportBaseModel# uvicorn main:app --reloadimportimg.PicDealapp=FastAPI()
@app.get("/img")
defhello():
return {"Hello": "World"}
@app.post('/img/zip/jpg')
asyncdefimg_zip_jpg(img,level,outpath):
result=PicDeal.zipJPG(img,level,outpath=outpath)
state="1"if(result=="ERROR-IMG-ZIP-JPG-WRITE"):
state="0"if (result=="ERROR-IMG-ZIP-JPG-DEAL"):
state="-1"if(result=="ERROR-IMG-ZIP-JPG-LEVEL"):
state="-2"return {"data":[{"state":state},{"result":result}]}
classImgs(BaseModel):
imgs= [] # type: list[str]level=""# type: stroutpath= [] # type: list[str]@app.post('/img/zip/jpg/many')
asyncdefimg_zip_jpg(Imgs:Imgs):
print(Imgs)
result=[]
foriinrange(len(Imgs.imgs)):
r=PicDeal.zipJPG(Imgs.imgs[i], Imgs.level, Imgs.outpath[i])
state="1"ifr=="ERROR-IMG-ZIP-JPG-WRITE":
state="0"ifr=="ERROR-IMG-ZIP-JPG-DEAL":
state="-1"ifr=="ERROR-IMG-ZIP-JPG-LEVEL":
state="-2"result.append({"state": state, "result": r})
return {"data":{"result":result}}