Image Segmentation
Transformers
PyTorch
modnet
feature-extraction
image-matting
background-removal
computer-vision
custom-architecture
custom_code
Instructions to use boopathiraj/MODNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use boopathiraj/MODNet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="boopathiraj/MODNet", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("boopathiraj/MODNet", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 277 Bytes
d8953e6 | 1 2 3 4 5 6 7 8 9 10 11 | from .wrapper import *
#------------------------------------------------------------------------------
# Replaceable Backbones
#------------------------------------------------------------------------------
SUPPORTED_BACKBONES = {
'mobilenetv2': MobileNetV2Backbone,
}
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