pytorch save a minibatch of 4D tensor as images





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I have set of 8 tensors in 4D tensor of shape (B, C, H, W). More specifically, the shape of my tensor is (8,3,64,64) i.e 8 images with [3x64x64] format.



I would like to save these in 1.png, 2.png ..., 8.png etc. When I try torchvision.utils.save_images(my_tensor), this is working fine. However, that is saving the images in a single grid instead of individual images.



How can I fix this issue?



I tried below code but that did not work.



for i in range(tensor.size(0)):



        np_data = tensor.cpu().numpy()

        imgplot = plt.imshow(np_data)





python pytorch







share|improve this question





























    2















    I have set of 8 tensors in 4D tensor of shape (B, C, H, W). More specifically, the shape of my tensor is (8,3,64,64) i.e 8 images with [3x64x64] format.



    I would like to save these in 1.png, 2.png ..., 8.png etc. When I try torchvision.utils.save_images(my_tensor), this is working fine. However, that is saving the images in a single grid instead of individual images.



    How can I fix this issue?



    I tried below code but that did not work.



    for i in range(tensor.size(0)):
    

    
        np_data = tensor.cpu().numpy()
    
        imgplot = plt.imshow(np_data)





    python pytorch







    share|improve this question

























      2












      2








      2








      I have set of 8 tensors in 4D tensor of shape (B, C, H, W). More specifically, the shape of my tensor is (8,3,64,64) i.e 8 images with [3x64x64] format.



      I would like to save these in 1.png, 2.png ..., 8.png etc. When I try torchvision.utils.save_images(my_tensor), this is working fine. However, that is saving the images in a single grid instead of individual images.



      How can I fix this issue?



      I tried below code but that did not work.



      for i in range(tensor.size(0)):
      

      
        np_data = tensor.cpu().numpy()
      
        imgplot = plt.imshow(np_data)





      python pytorch







      share|improve this question














      I have set of 8 tensors in 4D tensor of shape (B, C, H, W). More specifically, the shape of my tensor is (8,3,64,64) i.e 8 images with [3x64x64] format.



      I would like to save these in 1.png, 2.png ..., 8.png etc. When I try torchvision.utils.save_images(my_tensor), this is working fine. However, that is saving the images in a single grid instead of individual images.



      How can I fix this issue?



      I tried below code but that did not work.



      for i in range(tensor.size(0)):
      

      
        np_data = tensor.cpu().numpy()
      
        imgplot = plt.imshow(np_data)





      python pytorch




      python pytorch






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 16 '18 at 13:53









      Jadu SenJadu Sen

      617




      617
























          1 Answer
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          If you want to save individual images you could use:



          for i in range(tensor.size(0)):
          
           torchvision.utils.save_image(tensor[i, :, :, :], '{}.png'.format(i))


          which will save as : 1.png, 2.png ..., 8.png






          share|improve this answer



















          • 1





            Thank you! It works!

            – Jadu Sen
            Nov 16 '18 at 14:10












          Your Answer






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          1 Answer
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          oldest

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          1 Answer
          1






          active

          oldest

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          active

          oldest

          votes






          active

          oldest

          votes









          3














          If you want to save individual images you could use:



          for i in range(tensor.size(0)):
          
           torchvision.utils.save_image(tensor[i, :, :, :], '{}.png'.format(i))


          which will save as : 1.png, 2.png ..., 8.png






          share|improve this answer



















          • 1





            Thank you! It works!

            – Jadu Sen
            Nov 16 '18 at 14:10
















          3














          If you want to save individual images you could use:



          for i in range(tensor.size(0)):
          
           torchvision.utils.save_image(tensor[i, :, :, :], '{}.png'.format(i))


          which will save as : 1.png, 2.png ..., 8.png






          share|improve this answer



















          • 1





            Thank you! It works!

            – Jadu Sen
            Nov 16 '18 at 14:10














          3












          3








          3







          If you want to save individual images you could use:



          for i in range(tensor.size(0)):
          
           torchvision.utils.save_image(tensor[i, :, :, :], '{}.png'.format(i))


          which will save as : 1.png, 2.png ..., 8.png






          share|improve this answer













          If you want to save individual images you could use:



          for i in range(tensor.size(0)):
          
           torchvision.utils.save_image(tensor[i, :, :, :], '{}.png'.format(i))


          which will save as : 1.png, 2.png ..., 8.png







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 16 '18 at 14:02









          Benedict K.Benedict K.

          408315




          408315








          • 1





            Thank you! It works!

            – Jadu Sen
            Nov 16 '18 at 14:10














          • 1





            Thank you! It works!

            – Jadu Sen
            Nov 16 '18 at 14:10








          1




          1





          Thank you! It works!

          – Jadu Sen
          Nov 16 '18 at 14:10





          Thank you! It works!

          – Jadu Sen
          Nov 16 '18 at 14:10




















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