changing the dimension of images from and copying results to fixed directory
Pre requisite for implementing this file: check PIL,GLOB,OS Module of python python 3.5+ compatible and tested on bulk Image Data set to use it as input to Convolutional neural networks Set any dimension of output image in line im=img.resize((256,256)) I choose (256,256) as my need,you can take your own desired demension properly copy the path of your destination directory and assign it to outpath within single or double quote also copy the source directory path,i mean the image dataset folder path and paste it in glob.glob() with file extension name any extension .in my case my dataset it is in .jpg so i used .jpg Also one can get desired extension by writing the desired extension name in save_fname = os.path.join(outpath, os.path.basename(filename)+'.jpg') im.save(save_fname) in mycase i required .jpg ,one can put .png for png output extension and so on.