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Lihe Yang
2024-02-04 20:32:27 +08:00
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metric_depth/README.md
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@@ -53,7 +53,7 @@ Please follow [ZoeDepth](https://github.com/isl-org/ZoeDepth) to prepare the tra
## Evaluation
Make sure you have downloaded our pre-trained models [here](https://huggingface.co/spaces/LiheYoung/Depth-Anything/tree/main/checkpoints_metric_depth) and put them under the ``checkpoints`` directory.
Make sure you have downloaded our pre-trained metric-depth models [here](https://huggingface.co/spaces/LiheYoung/Depth-Anything/tree/main/checkpoints_metric_depth) (for evaluation) and pre-trained relative-depth model [here](https://huggingface.co/spaces/LiheYoung/Depth-Anything/blob/main/checkpoints/depth_anything_vitl14.pth) (for initializing the encoder) and put them under the ``checkpoints`` directory.
Indoor:
```bash
@@ -67,7 +67,7 @@ python evaluate.py -m zoedepth --pretrained_resource="local::./checkpoints/depth
## Training
Please first download our Depth Anything pre-trained models [here](https://huggingface.co/spaces/LiheYoung/Depth-Anything/blob/main/checkpoints/depth_anything_vitl14.pth), and put it under the ``checkpoints`` directory.
Please first download our Depth Anything pre-trained model [here](https://huggingface.co/spaces/LiheYoung/Depth-Anything/blob/main/checkpoints/depth_anything_vitl14.pth), and put it under the ``checkpoints`` directory.
```bash
python train_mono.py -m zoedepth -d <nyu | kitti> --pretrained_resource=""