haotongl
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README.md
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git clone https://github.com/DepthAnything/PromptDA.git
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cd PromptDA
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pip install -r requirements.txt
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pip install -e .
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```
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## 2. Usage
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```python
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from promptda.promptda import PromptDA
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from promptda.utils.io_wrapper import load_image, load_depth, save_depth
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image_path = "assets/example_images/image.jpg"
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prompt_depth_path = "assets/example_images/arkit_depth.png"
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image = load_image(image_path)
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# 192x256, ARKit LiDAR depth in meters
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prompt_depth = load_depth(prompt_depth_path)
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model = PromptDA().to("cuda").eval()
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depth = model.predict(image, prompt_depth)
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save_depth(depth, prompt_depth=prompt_depth, image=image)
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```
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## 3. Examples
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### 3.1 Testing with Your Own iPhone Capture
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### 3.2 Testing with vehicle LiDAR
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## Citation
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If you find this project useful, please consider citing:
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```bibtex
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@article{lin2024promptda,
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title={Prompting Depth Anything for 4K Resolution Accurate Metric Depth Estimation},
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author={Lin, Haotong and Peng, Sida and Chen, Jingxiao and Peng, Songyou and Sun, Jiaming and Liu, Minghuan and Bao, Hujun and Feng, Jiashi and Zhou, Xiaowei and Kang, Bingyi},
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journal={arXiv},
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year={2024}
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}
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```
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---
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title: Promptda
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emoji: 📉
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colorFrom: blue
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colorTo: purple
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sdk: gradio
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sdk_version: 4.44.1
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app_file: app.py
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pinned: false
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license: apache-2.0
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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