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. | |
| # pyre-unsafe | |
| from .frame_selector import ( | |
| FrameSelectionStrategy, | |
| RandomKFramesSelector, | |
| FirstKFramesSelector, | |
| LastKFramesSelector, | |
| FrameTsList, | |
| FrameSelector, | |
| ) | |
| from .video_keyframe_dataset import ( | |
| VideoKeyframeDataset, | |
| video_list_from_file, | |
| list_keyframes, | |
| read_keyframes, | |
| ) | |