How can I “visualize” 3D image stored (h5py) .h5 format in python?











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I want to visualize 3D image stored in .h5 format. I would like to know how can I to it in python. For input , I have file name as '***.h5'






python h5py d3dimage







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  • A general comment is that it best to try a things yourself and post where you get stuck. First, it will limit answers to things that you are interest in (e.g. you might not be interested in using OpenCV but rather want to use matplotlib). Second, you are likely to get stuck at a similar place as others. This way, your question will thus help others. Third, too open questions are very much opinionated, which is not the aim of the platform.
    – Tom de Geus
    Nov 13 at 7:05















up vote
-1
down vote

favorite












I want to visualize 3D image stored in .h5 format. I would like to know how can I to it in python. For input , I have file name as '***.h5'






python h5py d3dimage







share|improve this question






















  • A general comment is that it best to try a things yourself and post where you get stuck. First, it will limit answers to things that you are interest in (e.g. you might not be interested in using OpenCV but rather want to use matplotlib). Second, you are likely to get stuck at a similar place as others. This way, your question will thus help others. Third, too open questions are very much opinionated, which is not the aim of the platform.
    – Tom de Geus
    Nov 13 at 7:05













up vote
-1
down vote

favorite









up vote
-1
down vote

favorite











I want to visualize 3D image stored in .h5 format. I would like to know how can I to it in python. For input , I have file name as '***.h5'






python h5py d3dimage







share|improve this question













I want to visualize 3D image stored in .h5 format. I would like to know how can I to it in python. For input , I have file name as '***.h5'






python h5py d3dimage




python h5py d3dimage






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asked Nov 7 at 9:09









Akshay Paranjape

11




11












  • A general comment is that it best to try a things yourself and post where you get stuck. First, it will limit answers to things that you are interest in (e.g. you might not be interested in using OpenCV but rather want to use matplotlib). Second, you are likely to get stuck at a similar place as others. This way, your question will thus help others. Third, too open questions are very much opinionated, which is not the aim of the platform.
    – Tom de Geus
    Nov 13 at 7:05


















  • A general comment is that it best to try a things yourself and post where you get stuck. First, it will limit answers to things that you are interest in (e.g. you might not be interested in using OpenCV but rather want to use matplotlib). Second, you are likely to get stuck at a similar place as others. This way, your question will thus help others. Third, too open questions are very much opinionated, which is not the aim of the platform.
    – Tom de Geus
    Nov 13 at 7:05
















A general comment is that it best to try a things yourself and post where you get stuck. First, it will limit answers to things that you are interest in (e.g. you might not be interested in using OpenCV but rather want to use matplotlib). Second, you are likely to get stuck at a similar place as others. This way, your question will thus help others. Third, too open questions are very much opinionated, which is not the aim of the platform.
– Tom de Geus
Nov 13 at 7:05




A general comment is that it best to try a things yourself and post where you get stuck. First, it will limit answers to things that you are interest in (e.g. you might not be interested in using OpenCV but rather want to use matplotlib). Second, you are likely to get stuck at a similar place as others. This way, your question will thus help others. Third, too open questions are very much opinionated, which is not the aim of the platform.
– Tom de Geus
Nov 13 at 7:05












1 Answer
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Load the file in python like:



import h5py

filename = 'file.hdf5'

f = h5py.File(filename, 'r')


And then check it's type. If it's a numpy array you can use OpenCV or Pillow. If it's not, just make a numpy array from it with f = np.array(f).



OpenCV:



cv.imshow('text', f)

cv.waitKey(0)

cv.destroyAllWindows()


Pillow:



Image.fromarray(f).show()





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    1 Answer
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    active

    oldest

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    1 Answer
    1






    active

    oldest

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    oldest

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    active

    oldest

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    up vote
    1
    down vote













    Load the file in python like:



    import h5py
    
filename = 'file.hdf5'
    
f = h5py.File(filename, 'r')


    And then check it's type. If it's a numpy array you can use OpenCV or Pillow. If it's not, just make a numpy array from it with f = np.array(f).



    OpenCV:



    cv.imshow('text', f)
    
cv.waitKey(0)
    
cv.destroyAllWindows()


    Pillow:



    Image.fromarray(f).show()





    share|improve this answer

























      up vote
      1
      down vote













      Load the file in python like:



      import h5py
      
filename = 'file.hdf5'
      
f = h5py.File(filename, 'r')


      And then check it's type. If it's a numpy array you can use OpenCV or Pillow. If it's not, just make a numpy array from it with f = np.array(f).



      OpenCV:



      cv.imshow('text', f)
      
cv.waitKey(0)
      
cv.destroyAllWindows()


      Pillow:



      Image.fromarray(f).show()





      share|improve this answer























        up vote
        1
        down vote










        up vote
        1
        down vote









        Load the file in python like:



        import h5py
        
filename = 'file.hdf5'
        
f = h5py.File(filename, 'r')


        And then check it's type. If it's a numpy array you can use OpenCV or Pillow. If it's not, just make a numpy array from it with f = np.array(f).



        OpenCV:



        cv.imshow('text', f)
        
cv.waitKey(0)
        
cv.destroyAllWindows()


        Pillow:



        Image.fromarray(f).show()





        share|improve this answer












        Load the file in python like:



        import h5py
        
filename = 'file.hdf5'
        
f = h5py.File(filename, 'r')


        And then check it's type. If it's a numpy array you can use OpenCV or Pillow. If it's not, just make a numpy array from it with f = np.array(f).



        OpenCV:



        cv.imshow('text', f)
        
cv.waitKey(0)
        
cv.destroyAllWindows()


        Pillow:



        Image.fromarray(f).show()






        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Nov 7 at 9:14









        Novak

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