Mask Generation
Transformers.js
ONNX
swin
onnxruntime
onnxruntime-web
webgpu
vision
image-segmentation
background-removal
salient-object-detection
matting
mvanet
Instructions to use MarcinEU/finegrain-box-segmenter-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use MarcinEU/finegrain-box-segmenter-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('mask-generation', 'MarcinEU/finegrain-box-segmenter-ONNX');
| { | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "feature_extractor_type": "ViTFeatureExtractor", | |
| "image_mean": [0.485, 0.456, 0.406], | |
| "image_processor_type": "ViTFeatureExtractor", | |
| "image_std": [0.229, 0.224, 0.225], | |
| "resample": 2, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { "height": 1024, "width": 1024 } | |
| } | |