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
| # Copyright (c) Facebook, Inc. and its affiliates. | |
| from .distributed_sampler import ( | |
| InferenceSampler, | |
| RandomSubsetTrainingSampler, | |
| RepeatFactorTrainingSampler, | |
| TrainingSampler, | |
| ) | |
| from .grouped_batch_sampler import GroupedBatchSampler | |
| __all__ = [ | |
| "GroupedBatchSampler", | |
| "TrainingSampler", | |
| "RandomSubsetTrainingSampler", | |
| "InferenceSampler", | |
| "RepeatFactorTrainingSampler", | |
| ] | |