Image Segmentation
Transformers
PyTorch
English
garment-mask-generation
image-inpainting
fashion
garment-mask
densepose
human-parsing
Instructions to use Ekliipce/wearit-garment-mask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ekliipce/wearit-garment-mask with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="Ekliipce/wearit-garment-mask")# Load model directly from transformers import GarmentMaskPipeline model = GarmentMaskPipeline.from_pretrained("Ekliipce/wearit-garment-mask", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 316 Bytes
436df5c | 1 2 3 4 5 6 7 8 9 10 11 12 13 | from __future__ import absolute_import
from SCHP.networks.AugmentCE2P import resnet101
__factory = {
'resnet101': resnet101,
}
def init_model(name, *args, **kwargs):
if name not in __factory.keys():
raise KeyError("Unknown model arch: {}".format(name))
return __factory[name](*args, **kwargs) |