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glpn-kitti

vinvino02

Global-Local Path Networks (GLPN) model trained on KITTI for monocular depth estimation. It was introduced in the paper Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth by Kim et al. and first released in this repository. Disclaimer: The team releasing GLPN did not write a model card for this model so this model card has been written by the Hugging Face team. You can use the raw model for monocular depth estimation. See the model hub to look for fine-tuned versions on a task that interests you.

Depth estimation
Input Image→ Output Image
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glpn-nyu

vinvino02

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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Depth estimation
Input Image→ Output Image
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https://huggingface.co/LiheYoung/depth-anything-small-hf with ONNX weights to be compatible with Transformers.js. Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).

Depth estimation
Input Image→ Output Image
Price not verifiedCheck multimodal and channel pricing separately
View details ↗
Source / docs ↗
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