Depth Anything V2 Base

🚀 Depth Estimation with Depth-Anything-V2-Base and Transformers.js

This project provides a depth estimation solution using the Depth-Anything-V2-Base model with ONNX weights, making it compatible with the Transformers.js library.

🚀 Quick Start

This repository hosts the ONNX weights of Depth-Anything-V2-Base to enable compatibility with Transformers.js.

📦 Installation

If you haven't already, you can install the Transformers.js JavaScript library from NPM using the following command:

npm i @huggingface/transformers

💻 Usage Examples

Basic Usage

Example: Depth estimation with onnx-community/depth-anything-v2-base.

import { pipeline } from '@huggingface/transformers';

// Create depth estimation pipeline
const depth_estimator = await pipeline('depth-estimation', 'onnx-community/depth-anything-v2-base');

// Predict depth of an image
const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/cats.jpg';
const { depth } = await depth_estimator(url);

// Visualize the output
depth.save('depth.png');

📄 License

This project is licensed under the CC BY-NC 4.0 license.

⚠️ Important Note

Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named onnx).