Prompt Depth Anything
0. Table of Contents
1. Installation
git clone https://github.com/DepthAnything/PromptDA.git
cd PromptDA
pip install -r requirements.txt
pip install -e .
2. Usage
from promptda.promptda import PromptDA
from promptda.utils.io_wrapper import load_image, load_depth, save_depth
image_path = "assets/example_images/image.jpg"
prompt_depth_path = "assets/example_images/arkit_depth.png"
image = load_image(image_path)
# 192x256, ARKit LiDAR depth in meters
prompt_depth = load_depth(prompt_depth_path)
model = PromptDA().to("cuda").eval()
depth = model.predict(image, prompt_depth)
save_depth(depth, prompt_depth=prompt_depth, image=image)
3. Examples
3.1 Testing with Your Own iPhone Capture
3.2 Testing with vehicle LiDAR
Citation
If you find this project useful, please consider citing:
@article{lin2024promptda,
title={Prompting Depth Anything for 4K Resolution Accurate Metric Depth Estimation},
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},
journal={arXiv},
year={2024}
}