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@@ -9,16 +9,16 @@ The implementation of [Arxiv paper](https://arxiv.org/abs/2212.02997) for gaze e
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2. Download [eyes3d.pkl](https://drive.google.com/file/d/1as7_ew6kEFTHpcrlk8QKvgFJJ8cKzM3q/view?usp=sharing) and put it under ``assets/``
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3. Download [pretrained model](https://drive.google.com/file/d/1cqmChXSnTwUpk3jD7JLpZKHOuBLlC3_N/view?usp=sharing) and put it under ``assets/``
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3. Download [pretrained checkpoint](https://drive.google.com/file/d/1cqmChXSnTwUpk3jD7JLpZKHOuBLlC3_N/view?usp=sharing) and put it under ``assets/``
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4. Install libraries:
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```
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pip install timm pytorch-lightning==1.8.1 albumentations==1.3.0
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```
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## Test with pretrained model
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## Testing with pre-trained model
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Download pretrained checkpoint from here under put it under ``assets/``
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After downloading the pre-trained checkpoint above,
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```
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python test_gaze.py assets/latest_a.ckpt
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