FuryTMP/Video-Depth-Anything-L-ONNX-512x288

Video Depth Anything (ONNX) – VisionDepth3D Edition

This is a converted ONNX version of Video Depth Anything (VDA), prepared for use with VisionDepth3D and other ONNX-compatible pipelines.

About

• Original weights: VDA (PyTorch .pth)
• Converted to ONNX format for faster inference and integration
• Tested and optimized for VisionDepth3D v3.5+

Input / Output

• Input resolution is fixed at 512×288
• The ONNX export does not currently support dynamic shapes
• Outputs a single-channel depth map normalized to [0..1]

Use Cases

• Depth map generation for video frames
• 2D-to-3D conversion inside VisionDepth3D
• Preprocessing for VR, AR, and cinematic pipelines

Notes

• This conversion is for compatibility; accuracy is consistent with the original model
• For real-time use, GPU acceleration via CUDA is strongly recommended
• Works directly in VisionDepth3D’s ONNX inference pipeline

How To Use

• Download the VideoDepthAnything folder in files tab
• Put the folder into the weights directory of VisionDepth3D
• In VD3D Depth Estimation Tab in model dropdown scroll to bottom of the list and choose the (ONNX) model not the (Local) model
• Set input resolution to 512x288 (wouldnt convert for dynamic input resolution)

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Citation

Please cite the original Video Depth Anything project if you use this model. This ONNX export is provided only for compatibility and workflow integration.