Visual UI interface for fastai

Aim to provide an easy to use graphical interface without the need to dig deep into the code. This visual tool provides a good starting point to get training quickly using fastai.

All tabs are provided within an accordion design using ipywidgets, this allows for all aspects of choosing and viewing parameters in one line of sight

The Augmentation tab utilizes fastai parameters so you can view what different image augmentations look like and compare

View batch information

Review model data and choose suitable metrics for training

Review parameters get learning rate and train using the one cycle policy

Can experiment with various learning rates and train

• fastai

I am using the developer version:

git clone https://github.com/fastai/fastai

cd fastai

tools/run-after-git-clone

pip install -e ".[dev]"

for installation instructions visit Fastai Installation Readme

• ipywidgets

pip install ipywidgets jupyter nbextension enable --py widgetsnbextension

or

conda install -c conda-forge ipywidgets

for installation instructions visit Installation docs

• psutil

psutil (process and system utilities) is a cross-platform library for retrieving information on running processes and system utilization (CPU, memory, disks, network, sensors) in Python

pip install psutil

git clone this repository

gitclone https://github.com/asvcode/Vision_UI.git

run 01_UI_Fastai.ipynb ,specify your path and run display_ui(path)

Colab does not currently support ipywidgets because their output is in its own frame so prevents ipywidets from working. This is the link to issues thread Link

• Currently on works with images using the ImageDataBunch.from_folder option. Plans to expand to .from_csv and .from_df