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Combined Fusion

Combined Fusion is a general zero-shot lightweight model that can be used in indoor/outdoor scenes to predict Monocular Metric depth map.

tunnel

Inference deploy

cfModel = CombinedFusion()
cfModel.load_state_dict(torch.load('./CombinedFusion.pth', map_location='cpu'))
cfModel = cfModel.to(DEVICE).eval()

and also example.py already have a full example of using model. just execute: python example.py.

FPS performance

a comparison FPS on random video on internet, you can look at the FPS counter and also so many details for instance: the hair of man before pushing the ball.

fps_compare.mp4

Training

Use DepthAnythingV2 metric fine tune codes, and just replace the model with our model CombinedFusion folder.

Citation

This work is related to a paper currently under review. We will update this section with the official citation once the paper is accepted.

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CombinedFusion monocular metric depth estimation

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