You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi,
This visualization tool is really a big help. But I have encountered some issue when using this tool.
Currently, this tool only outputs the images and everything seems to be fine if the input to the neural network is a real image. But when the input is not a real image(assume that the input is a tensor of size NNC, where C=4 is the number of channels; note that the input is just a feature of 4 channels, not a real image), the output of tf_cnnvis.deconv_visualization will be of little use because the output feature is interpreted as an RGBA image.
Therefore, I propose this issue to add an option to output the numerical values besides the images. Maybe you can add a Boolean flag "output_value" in the function to decide whether the numerical value of the corresponding images will be shown.
Thank you in advance.
The text was updated successfully, but these errors were encountered:
Hi,
This visualization tool is really a big help. But I have encountered some issue when using this tool.
Currently, this tool only outputs the images and everything seems to be fine if the input to the neural network is a real image. But when the input is not a real image(assume that the input is a tensor of size NNC, where C=4 is the number of channels; note that the input is just a feature of 4 channels, not a real image), the output of tf_cnnvis.deconv_visualization will be of little use because the output feature is interpreted as an RGBA image.
Therefore, I propose this issue to add an option to output the numerical values besides the images. Maybe you can add a Boolean flag "output_value" in the function to decide whether the numerical value of the corresponding images will be shown.
Thank you in advance.
The text was updated successfully, but these errors were encountered: