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https://github.com/ht0710/human-activity-monitor
https://github.com/ht0710/human-activity-monitor
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- Host: GitHub
- URL: https://github.com/ht0710/human-activity-monitor
- Owner: HT0710
- Created: 2023-09-15T04:45:18.000Z (about 1 year ago)
- Default Branch: app
- Last Pushed: 2024-04-05T15:54:22.000Z (7 months ago)
- Last Synced: 2024-04-06T10:41:35.407Z (7 months ago)
- Language: Python
- Size: 361 KB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Human-Activity-Monitor
## Install
> Recommend to use [Conda](https://docs.conda.io/projects/miniconda/en/latest/)
**Python == 3.10**
```bash
pip install -r requirements.txt
```
## Docker
### Build image
```bash
docker build -t har .
```
### Run
```bash
# CPU only
docker -it --net=host har
# With GPU
docker -it --net=host --gpus all har
# Show video (Linux only)
xhost + && \
docker run -it --rm --net=host (--gpus all) \
-e DISPLAY=$DISPLAY -v /tmp/.X11-unix:/tmp/.X11-unix har && \
xhost -
```
## Run
> All configuration can be access at [configs/run](https://github.com/HT0710/Human-Activity-Recognition/blob/main/configs/run) folder
CLI options:
```bash
python3 src/run.py --help
```
Example:
```bash
python3 src/run.py video.path=data/video/abc.mp4 video.speed=2 detector.model.conf=0.5 classifier=false features.heatmap=false features.track_box=false
```
## Train
### Setup
1. Dataset must be put in the [data](https://github.com/HT0710/Human-Activity-Recognition/tree/main/data) folder
2. Configure the options in [configs/data](https://github.com/HT0710/Human-Activity-Recognition/blob/main/configs/data) folder
3. Then using the `video_preparation.py` or `image_preparation.py` file in the [tools](https://github.com/HT0710/Human-Activity-Recognition/blob/main/tools) folder to generate the trainable data
```bash
# If using image
python3 tools/image_preparation.py auto.data_path=path/to/the/data
# If using video
python3 tools/video_preparation.py auto.data_path=path/to/the/data
```
### Run
Configure the training setting in [configs/train.yaml](https://github.com/HT0710/Human-Activity-Recognition/blob/main/configs/train.yaml):
CLI options:
```bash
python3 src/train.py --help
```
Training:
```bash
python3 src/train.py
```
## Note
- Most of the configurations can found in the **[configs](https://github.com/HT0710/Human-Activity-Recognition/tree/main/configs)** folder. `train.py` contains additional setting need to be changed in the file directly.
- See [https://hydra.cc/docs/intro/](https://hydra.cc/docs/intro/) for configuration and CLI help.