- If you need to download the videos using the MS-ASL dataset, navigate to the
data_downloader.ipynb
file and run all the cells there. This is a lengthy process. However, if you are cloning the code from GitHub, you should already have access to all the videos and you will not need to use this file at all- Create a new Python environment, install the dependencies in
requirements.txt
usingpip install -r requirements.txt
. - Inside this file, you can specify the save folder in the
download_videos
function by changingSAVE_PATH = <your folder name>
. - You can choose the input to the
download_videos
function from eithertest_data100
,train_data100
, orval_data100
.
- Create a new Python environment, install the dependencies in
- For a dummy run, navigate to
dummy_demo.ipynb
file. Run all the cells. - In this file, we selected only 5 classes and augmented each image 3 times to shorten the code running process.
- The max training epoch is also set to 5 for the demo.
- This demo is only for 3-Channel Dataset as 5 Channel dataset takes a little time to load. The process is all the same.
- This process should take about less than 5 minutes if trained on GPU.