Human Activity Recognition

How to Use

1. Download the dataset here

2. and then set the path to be like this

./
|
├─── dataset/
|    ├─── test/
|    ├─── train/
|    └─── ...
└───...

3. Change the OUTPUT_DIR variable in the ipynb file

OUTPUT_DIR = "./model"

4. Download the dependencies

uv sync

5. Run the .ipynb file to get the model weight

6. Make sure you already have the models in model folder

./
|
├─── model/
|    ├─── best_resnet_yolo.pth
|    ├─── label_encoder.pkl
|    └─── yolo12n.pt
└───...

7. Run the test-app.py

uv run test-app.py

8. The result should be looked like this