https://github.com/shreyas-bhat/mfr
Explainable mask face recognition using Xcos method and ablation cam
https://github.com/shreyas-bhat/mfr
computer-vision explainable-ai face-recognition
Last synced: about 1 year ago
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Explainable mask face recognition using Xcos method and ablation cam
- Host: GitHub
- URL: https://github.com/shreyas-bhat/mfr
- Owner: Shreyas-Bhat
- Created: 2022-07-05T09:21:51.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2022-07-26T09:32:26.000Z (almost 4 years ago)
- Last Synced: 2023-03-06T06:32:06.512Z (over 3 years ago)
- Topics: computer-vision, explainable-ai, face-recognition
- Language: Jupyter Notebook
- Homepage:
- Size: 18.3 MB
- Stars: 0
- Watchers: 1
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# MFR
* Working on creating ArcFace-based pipeline for masked face verification. Used computer vision techniques to synthetically generate masked face images in the training data
* Further, using explainable AI techniques to the model such as Ablation Cam to view the learnt feature maps and representations.
* Project done as part of BITS F464 Machine Learning.
## Approach
## Environment setup
```
git clone git@github.com:Shreyas-Bhat/MFR.git
cd MFR
```
## Training
Please move to ```cd src/ ``` before following the steps.
```python main.py```
## Testing
The pretrained weights can be accessed at Google Drive. You can download it and place it under ```../pretrained_model/mfr/```
## Authors
* Shreyas Bhat
* Aparajita Guha
* Tarun Varghese Mathew