### Install Python Dependencies for OVCamo

Source: https://github.com/lartpang/ovcamo/blob/main/readme.md

Installs the necessary Python packages required to run the OVCamo project by reading the `requirements.txt` file. Specific versions for torch and torchvision are noted in the requirements file comments.

```bash
pip install -r requirements.txt
```

--------------------------------

### Listing Python Dependencies

Source: https://github.com/lartpang/ovcamo/blob/main/requirements.txt

This snippet lists the Python packages and their exact versions required for the project. This format is standard for `requirements.txt` files and is used by package managers like pip to install dependencies.

```Python
adjustText==0.8
albumentations==1.3.1
einops==0.7.0
etils==1.9.1
loguru==0.7.2
matplotlib==3.8.2
mlcroissant==1.0.5
mmengine==0.10.2
numpy==1.26.2
open-clip-torch==2.24.0
opencv-python-headless==4.8.1.78
Pillow==10.0.1
pysodmetrics==1.4.2
PyYAML==6.0
timm==0.9.12
# Editable install with no version control (torch==2.1.2)
# -e e:\\programming\\miniconda\\envs\\pt212\\lib\\site-packages\\torch-2.1.2-py3.11.egg-info
# Editable install with no version control (torchvision==0.16.2)
# -e e:\\programming\\miniconda\\envs\\pt212\\lib\\site-packages\\torchvision-0.16.2-py3.11.egg-info
tqdm==4.66.1
```

--------------------------------

### Run Inference with OVCamo Model (OVCoser)

Source: https://github.com/lartpang/ovcamo/blob/main/readme.md

Executes the main script in evaluation mode to perform inference using the OVCoser model, loading weights from a specified local `.pth` file.

```bash
python .\main.py --config .\configs\ovcoser.py --model-name OVCoser --evaluate --load-from <path of the local .pth file.>
```

--------------------------------

### Train OVCamo Model (OVCoser)

Source: https://github.com/lartpang/ovcamo/blob/main/readme.md

Runs the main script to train the OVCoser model using the configuration specified in `configs/ovcoser.py`. This command initiates the training process.

```bash
python .\main.py --config .\configs\ovcoser.py --model-name OVCoser
```

--------------------------------

### Evaluate Pretrained OVCamo Model (OVCoser)

Source: https://github.com/lartpang/ovcamo/blob/main/readme.md

Runs the main script in evaluation mode to assess the performance of the downloaded pretrained OVCoser model (`model.pth`) using the specified configuration.

```bash
python .\main.py --config .\configs\ovcoser.py --model-name OVCoser --evaluate --load-from model.pth
```

--------------------------------

### Evaluate OVCamo Results

Source: https://github.com/lartpang/ovcamo/blob/main/readme.md

Runs the evaluation script (`evaluate.py`) to calculate metrics on the downloaded results of the OVCoser model, specifying the path to the directory containing the results.

```bash
python .\evaluate.py --pre <path>/ovcoser-ovcamo-te
```

--------------------------------

### BibTeX Citation for OVCamo ECCV 2024 Paper

Source: https://github.com/lartpang/ovcamo/blob/main/readme.md

Provides the BibTeX entry for citing the Open-Vocabulary Camouflaged Object Segmentation (OVCamo) paper presented at ECCV 2024.

```bibtex
@inproceedings{OVCOS_ECCV2024,
  title={Open-Vocabulary Camouflaged Object Segmentation},
  author={Pang, Youwei and Zhao, Xiaoqi and Zuo, Jiaming and Zhang, Lihe and Lu, Huchuan},
  booktitle=ECCV,
  year={2024},
}
```

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