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- # Prompt Depth Anything
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-
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- ## 0. Table of Contents
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-
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- 1. [Installation](#1-installation)
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- 2. [Usage](#2-usage)
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- 3. [Examples](#3-examples)
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- 1. [Testing with Your Own iPhone Capture](#31-testing-with-your-own-iphone-capture)
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- 2. [Testing with vehicle LiDAR](#32-testing-with-vehicle-lidar)
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-
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- ## 1. Installation
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-
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- ```bash
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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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-
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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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-
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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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-
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- model = PromptDA().to("cuda").eval()
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- depth = model.predict(image, prompt_depth)
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-
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- save_depth(depth, prompt_depth=prompt_depth, image=image)
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- ```
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-
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- ## 3. Examples
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-
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- ### 3.1 Testing with Your Own iPhone Capture
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-
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- ### 3.2 Testing with vehicle LiDAR
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-
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-
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- ## Citation
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-
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- If you find this project useful, please consider citing:
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-
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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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+ ---
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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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+
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+ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference