ZoeDepth is an application hosted on the Hugging Face platform, developed by user shariqfarooq. Hugging Face is an AI community with the aim of building the future of AI and offering a platform where users can build, train, and deploy state-of-the-art models, as well as sharing Machine Learning (ML) applications and demos with the world.
Looking into the code of ZoeDepth provided in the link, the service appears to utilize the Python libraries Gradio and PyTorch. The Gradio library is used for creating the UI interface, while PyTorch is used for machine learning model loading and inference. The application relies on CUDA for processing if it’s available, which indicates the application may benefit from GPU acceleration. This is in line with the pricing details provided by Hugging Face, which offers hardware upgrades including GPUs to boost computational capabilities.
The model used by the application is the pretrained ‘ZoeD_N’ model loaded from the ‘isl-org/ZoeDepth’ repository. The application provides a UI interface to demonstrate the capabilities of this model in terms of depth prediction. The service appears to have various UI features related to image display, which indicates that the model may be used to process image data.
There are also several other ZoeDepth implementations available on Hugging Face, each presumably with slight variations in the implementation details. For instance, user ameerazam08 seems to have modified the image resizing parameters in their implementation of ZoeDepth.
It’s important to note that although Hugging Face provides a platform for sharing models and applications, it warns users about the potential risk of downloading and running untrusted code. Additionally, there have been some reported runtime errors with the ZoeDepth space, which prospective users or developers may need to address.
Generation is quite simple:
– Follow the link in the post.
– Click on Image to 3D
– Drag and drop or load the image
– Check the box Keep occlusion edges
– Click on Execute.
Wait for the end of generation and that’s it, the 3D image is in your hands
I’ve tried to generate some 3D images from 2D pictures on the Internet, but so far not wow. There is a theory that it’s easier and more correct to do such things from scratch. But, for a quick hand, it will do. It looks better than lidar’s creativity.
Overall, ZoeDepth is an exciting application that demonstrates the use of a depth prediction model. It is hosted on Hugging Face, which allows users and developers to share and explore AI models and applications.
