# Real Video Labeling Tool Py
Python rewrite of [Real-Video-Annotation-Tool]

## 1. Installation
Here are two options to setup the project.

### 1.1.1 Setup with Conda
1. If [conda] is not yet installed, follow the [installation guide] for your operating system.
   > Note: [miniconda] and especially [mamba] are faster and lighter than Anaconda
2. From the projects root directory create the environment with:
   ```
   conda env create -f environment.yml
   ```
3. Activate the new environment with:
   ```
   conda activate labeling_tool
   ```
   > Note: The environment should always be activated when working on this project
4. To update the environment after changes in environment.yml run:
```conda env update --name labeling_tool --file environment.yml --prune```

#### Troubleshoot
- Make sure to restart your terminal after installing conda. Or run ```source ~/.bashrc```
- Run ```conda config --set auto_activate_base false``` to deactivate automatic conda activation on startup
- If ```conda activate``` fails, try ```conda init``` and then ```conda activate``` again

### 1.1.2 Install dependencies with pip
You can also install dependencies with pip:
```pip install -r requirements.txt```

### 1.2 Run
Run program with ```python3 src/main.py``` or from within IDE.
Images and Labels are stored in /Storage


## Note
[Real-Video-Annotation-Tool]: https://sam-dev.cs.hm.edu/SAM-DEV/Sampler_CNN_Training
[conda]: https://docs.conda.io/
[installation guide]: https://docs.conda.io/projects/conda/en/latest/user-guide/install/index.html
[miniconda]: https://docs.conda.io/en/latest/miniconda.html
[mamba]: https://mamba.readthedocs.io/en/latest/installation.html#installation