# Action Classification
- [Action Classification](/_YsxKsE_RvikiRb8uieywA)
This book contains resources related to action classification
## Learning
- [W22 Action Classification Resources](/CFWg41miTYyeci3u3M95kA)
## Getting started with the code
The training code lives at https://git.uwaterloo.ca/WATonomous/road-dataset, well actually the real training code lives in subrepos of that repo.
Once road-dataset is cloned, we can get the submodules by running
`git submodule update --init --recursive`
* In some instances the repository 'acar-net' may not have been pulled.
* This can be manually manually cloned inside the road-dataset directory: https://git.uwaterloo.ca/WATonomous/acar-net
### Working with ACAR-Net
Developing:
```bash=
docker-compose up -d acar
```
Then you can connect to the container as usual via VSCode SSH Remote Containers
Just run training (from outside the container):
```bash=
docker-compose run acar python3 main.py \
--config configs/ROAD/SLOWFAST_R50_ACAR_HR2O.yaml \
--nproc_per_node 1
```
(or from inside the container after doing an `up`):
```bash=
python3 main.py \
--config configs/ROAD/SLOWFAST_R50_ACAR_HR2O.yaml \
--nproc_per_node 1
```
The data is mounted at `/road` in the container. You can use VSCode to add this dir to the file explorer `File -> Add folder to workspace`
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