Depth estimation pipeline ... Pass the image to the pipeline. ... The pipeline returns a dictionary with two entries. The first one, called predicted_depth , is a ...
Depth estimation models are widely used to study volumetric formation of objects present inside an image. This is an important use case in the domain of ...
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Jul 10, 2024 · Train to predict relative depth on one set of datasets and measure quality on others. Since the depth is relative, significantly different ...
We present Marigold, a diffusion model and associated fine-tuning protocol for monocular depth estimation. Its core principle is to leverage the rich visual ...
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A list of official Hugging Face and community (indicated by ) resources to help you get started with Depth Anything. Monocular depth estimation task guide; A ...
Apr 24, 2024 · Monocular depth estimation is a computer vision task that involves predicting the depth information of a scene from a single image.
Jun 17, 2024 · This DPT model uses the BEiT model as backbone and adds a neck + head on top for monocular depth estimation. model image. The previous release ...