Image Segmentation
Transformers
Safetensors
English
segformer
human-parsing
semantic-segmentation
fashion
virtual-try-on
Instructions to use fashn-ai/fashn-human-parser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fashn-ai/fashn-human-parser with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="fashn-ai/fashn-human-parser")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("fashn-ai/fashn-human-parser") model = SegformerForSemanticSegmentation.from_pretrained("fashn-ai/fashn-human-parser", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
File size: 340 Bytes
a92eba4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"do_reduce_labels": false,
"do_rescale": true,
"do_resize": true,
"do_normalize": true,
"image_mean": [0.485, 0.456, 0.406],
"image_std": [0.229, 0.224, 0.225],
"image_processor_type": "SegformerImageProcessor",
"resample": 1,
"rescale_factor": 0.00392156862745098,
"size": {
"height": 576,
"width": 384
}
}
|