Add a high level description of project in README (after finishing report)
AndrejIvanov1 opened this issue · comments
From howto-paper:
" Describe how the results presented in your paper can potentially be reproduced" which i think is not necessary clear
We should mention:
- put images from kaggle on data/
- put weights in file pretrained_weights/ → maybe not necessary if we add them there in the submission
I) generators
- run script to patch images
- run file to train generator
- etc
II) regressor
- run this file for feature extraction
- run this file for training
- run this for evaluation
Just to make clear the steps in case they want to try something out
- mention that for all notebooks the paths and name of the files should be updated accordingly
also add to readme info about :
visualize_clusters.py in analysis/README
and visualize_clusters/ in analysis/README
add readme to common/
add readme to feature_extraction → maybe not necessary as name is self explanatory
These issue kinda became one with #35