Image Segmentation
Transformers
PyTorch
Safetensors
maskformer
instance-segmentation
vision
Generated from Trainer
Instructions to use nagarajuthirupathi/indoor_window_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nagarajuthirupathi/indoor_window_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="nagarajuthirupathi/indoor_window_detection")# Load model directly from transformers import AutoImageProcessor, MaskFormerForInstanceSegmentation processor = AutoImageProcessor.from_pretrained("nagarajuthirupathi/indoor_window_detection") model = MaskFormerForInstanceSegmentation.from_pretrained("nagarajuthirupathi/indoor_window_detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f3181da23e6758a5891fefb7f29ac1f44302de16d3b924349eebeca9c99651b
- Size of remote file:
- 851 MB
- SHA256:
- 9a684932b2186f8d3ddff8cc1e84cb35ad720520c2cb2ec85b51905dc51e95c8
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