pytorch save a minibatch of 4D tensor as images





.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty{ height:90px;width:728px;box-sizing:border-box;
}







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















    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
          1






          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












          Your Answer






          StackExchange.ifUsing("editor", function () {
          StackExchange.using("externalEditor", function () {
          StackExchange.using("snippets", function () {
          StackExchange.snippets.init();
          });
          });
          }, "code-snippets");

          StackExchange.ready(function() {
          var channelOptions = {
          tags: "".split(" "),
          id: "1"
          };
          initTagRenderer("".split(" "), "".split(" "), channelOptions);

          StackExchange.using("externalEditor", function() {
          // Have to fire editor after snippets, if snippets enabled
          if (StackExchange.settings.snippets.snippetsEnabled) {
          StackExchange.using("snippets", function() {
          createEditor();
          });
          }
          else {
          createEditor();
          }
          });

          function createEditor() {
          StackExchange.prepareEditor({
          heartbeatType: 'answer',
          autoActivateHeartbeat: false,
          convertImagesToLinks: true,
          noModals: true,
          showLowRepImageUploadWarning: true,
          reputationToPostImages: 10,
          bindNavPrevention: true,
          postfix: "",
          imageUploader: {
          brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
          contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
          allowUrls: true
          },
          onDemand: true,
          discardSelector: ".discard-answer"
          ,immediatelyShowMarkdownHelp:true
          });


          }
          });














          draft saved

          draft discarded


















          StackExchange.ready(
          function () {
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53339224%2fpytorch-save-a-minibatch-of-4d-tensor-as-images%23new-answer', 'question_page');
          }
          );

          Post as a guest















          Required, but never shown

























          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          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




















          draft saved

          draft discarded




















































          Thanks for contributing an answer to Stack Overflow!


          • Please be sure to answer the question. Provide details and share your research!

          But avoid …



          • Asking for help, clarification, or responding to other answers.

          • Making statements based on opinion; back them up with references or personal experience.


          To learn more, see our tips on writing great answers.




          draft saved


          draft discarded














          StackExchange.ready(
          function () {
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53339224%2fpytorch-save-a-minibatch-of-4d-tensor-as-images%23new-answer', 'question_page');
          }
          );

          Post as a guest















          Required, but never shown





















































          Required, but never shown














          Required, but never shown












          Required, but never shown







          Required, but never shown

































          Required, but never shown














          Required, but never shown












          Required, but never shown







          Required, but never shown







          -

          Popular posts from this blog

          Bressuire

          Image
          Subprefecture and commune in Nouvelle-Aquitaine, France Bressuire Subprefecture and commune Chateau de Bressuire and the Eglise Notre-Dame Coat of arms Location of Bressuire Bressuire Show map of France Bressuire Show map of Nouvelle-Aquitaine Coordinates: 46°50′27″N 0°29′14″W  /  46.8408°N 0.4872°W  / 46.8408; -0.4872 Coordinates: 46°50′27″N 0°29′14″W  /  46.8408°N 0.4872°W  / 46.8408; -0.4872 Country France Region Nouvelle-Aquitaine Department Deux-Sèvres Arrondissement Bressuire Canton Bressuire Government  • Mayor .mw-parser-output .nobold{font-weight:normal} (2014–20) Jean Michel Bernier Area 1 180.59 km 2 (69.73 sq mi) Population (2014) 2 19,300  • Density 110/km 2 (280/sq mi) Time zone UTC+01:00 (CET)  • Summer (DST) UTC+02:00 (CEST) INSEE/Postal code 79049 /79300 Elevation 98–236 m (322–774 ft) (avg. 173 m or 568 ft) 1 French Land Register data, which exclude...
          Read more

          Vorschmack

          Image
          Vorschmack Ukrainian Jewish-style vorschmack served on rye bread Course Hors d'oeuvre Region or state Eastern Europe Associated national cuisine Ashkenazi Jewish, Finnish, German, Ukrainian, Polish, Russian Main ingredients Ground meat and/or fish Cookbook: Vorschmack   Media: Vorschmack Vorschmack or forshmak (Yiddish: פֿאָרשמאַק ‎, from archaic German Vorschmack , "foretaste" [1] or "appetizer" [2] ) is an originally East European dish made of salty minced fish or meat. Different variants of this dish are especially common in Ashkenazi Jewish and Finnish cuisine. Some varieties are also known in Russian and Polish cuisine. Contents 1 In Jewish cuisine 2 In Russian cuisine 3 In Polish cuisine 4 In Finnish cuisine 5 See also 6 References In Jewish cuisine According to Gil Marks, the German name points to the possible Germanic origin of this dish. [1] William Pokhlyobkin descr...
          Read more

          Quarantine

          Image
          For other uses, see Quarantine (disambiguation). Signal flag "Lima" called the "Yellow Jack" which when flown in harbor means ship is under quarantine. A simple yellow flag (also called the "Yellow Jack") had historically been used to signal quarantine (it stands for Q among signal flags), but now indicates the opposite, as a signal of a ship free of disease that requests boarding and inspection. A quarantine is used to separate and restrict the movement of people; it is 'a restraint upon the activities or communication of persons or the transport of goods designed to prevent the spread of disease or pests', for a certain period of time. [1] This is often used in connection to disease and illness, such as those who may possibly have been exposed to a communicable disease. [2] The term is often erroneously used to mean medical isolation, which is "to separate ill persons who have a communicable disease from those who are healthy...
          Read more