| --- |
| library_name: mmsegmentation |
| pipeline_tag: image-segmentation |
| tags: |
| - methane |
| - gas-detection |
| - optical-gas-imaging |
| - segmentation |
| - gasformer |
| --- |
| |
| # Gasformer |
|
|
| Checkpoints for **Gasformer: A Transformer-based Architecture for Segmenting Methane Emissions from Livestock in Optical Gas Imaging** ([arXiv 2404.10841](https://arxiv.org/abs/2404.10841)). |
|
|
| - Code: https://github.com/toqitahamid/Gasformer |
|
|
|
|
| | Folder | Dataset | Checkpoint | Config | |
| |---|---|---|---| |
| | `CR/` | Dairy Cow Rumen gas (binary) | `CR_best_mIoU_iter_160000.pth` | `gasformer-160k_CR-512x512.py` | |
| | `MR/` | Controlled Methane Release (multi-class) | `MR_best_mIoU_iter_160000.pth` | `gasformer-160k_MR-512x512.py` | |
|
|
| Each checkpoint is the best-mIoU checkpoint from a 160k-iteration MMSegmentation run at 512x512. |
|
|
| ## Usage |
|
|
| Clone the code repository, then place the checkpoint next to its config: |
|
|
| ```bash |
| git clone https://github.com/toqitahamid/Gasformer.git |
| hf download toqi/Gasformer --local-dir weights |
| python tools/test.py weights/CR/gasformer-160k_CR-512x512.py weights/CR/CR_best_mIoU_iter_160000.pth |
| ``` |
|
|
| ## Citation |
|
|
| ```bibtex |
| @InProceedings{Sarker_2024_CVPR,
|
| author = {Sarker, Toqi Tahamid and Embaby, Mohamed G and Ahmed, Khaled R and Abughazaleh, Amer},
|
| title = {Gasformer: A Transformer-based Architecture for Segmenting Methane Emissions from Livestock in Optical Gas Imaging},
|
| booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
|
| month = {June},
|
| year = {2024},
|
| pages = {5489-5497}
|
| } |
| ```
|
|
|
