Hi all, In order to better understand the library and results I get, I like to try and break down some of the key functions & rebuild them where possible. Right now, I am stuck on the last part of the function show_results for ImageSegment problems (like camvid) where it calls reconstruct_output.
Essentially this function takes the final tensor of predictions (argmaxed etc) and, as it inherits from ImageSegment, it is called on the ImageSegment dependent variable (y) which has the (auto-fastai-magikcal ;-)) ability to be seen as a mask. I would like to understand how to do that conversion without relying on the library to convert and ‘show’ it … Hope the image below helps to explain:
Essentially - for camvid example, if I have the tensor of predicted codes for an image how can I then show this as an image?
