代码链接为:https://github.com/yuanzhoulvpi2017/tiny_python/blob/main/image_compression/ic.py 步骤 我这里把所有图片都放在了一个文件夹里面,文件夹名称为历史截图。然后我的这个历史截图和ic.py代码都放在了little_code文件夹中。 在little_code文件夹下,打开终端。 直接运行的脚本: python ic.py xxx_文件...
NoResize+=[str(file)]print("***没压缩:"+file)else:#写入压缩后的图片,这里的'output.jpg'是压缩后的文件名cv2.imwrite(file, image, compression_params)print("压缩:"+file)if__name__=="__main__":ifTrue:#批量压缩图片分辨率NoResize = []#记录没被修改的图片total =0#子文件夹forchildPATHinos....
NewWaveletCoeffs = map (lambda x: pywt.thresholding.soft(x,threshold), coeffs) NewImage = pywt.waverec2( coeffs, 'haar') titles = ['Source','compression','segmentation' ,"reconstruction"] images = [img ,img1,dst,NewImage] for i in range(4): plt.subplot(1,4,i+1), plt.imshow(ima...
This tutorial will discuss compressing an image using the PIL library in Python. Before using the PIL library, install it using pip or python. pip install Pillow Python Image Compression Using PIL Library Image compression is used to reduce the size of an image. We know that images consist ...
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[i,j,2]>200:result[i,j,3]=0cv2.imwrite('result.png',result,[int(cv2.IMWRITE_PNG_COMPRESSION),0])print(result.shape)cv2.imshow('result',result)B,G,R,A=cv2.split(result)cv2.imshow('B',B)cv2.imshow('G',G)cv2.imshow('R',R)cv2.imshow('A',A)cv2.waitKey()cv2.destroyAll...
"""compress_path=ap.Document(path1)# 需要压缩的pdf文件路径# print(compress_path)optimize=ap.optimization.OptimizationOptions()optimize.image_compression_options.compress_images=Trueoptimize.image_compression_options.image_quality=90# 压缩质量compress_path.optimize_resources(optimize)compress_path.save(path...
For example, onefile compression will work for a Python 2.x when another Python is found that has the zstandard package installed. Moving binaries to other machines The created binaries can be made executable independent of the Python installation, with --standalone and --onefile options. Binary...
# 获取已经标注的文件列表和还未标注的文件列表 imagefiles = [x for x in os.listdir(self._data_dir) if x[x.rfind('.') + 1:].lower() in SUPPOTED_FORMATS] labeled = [x for x in imagefiles if os.path.exists(get_bbox_name(x))] to_be_labeled = [x for x in imagefiles if x...
The difference image only shows three regions from the original image. These regions highlight the differences between the two images. You can also see some noise surrounding the cloud and the fence, which is due to small changes in the original JPEG compression in the region surrounding these ...