Image Segmentation
Transformers
PyTorch
pixdlm
cvpr-2026
compute-transparency
reasoning-segmentation
uav
remote-sensing
vision-language
Instructions to use WhynotHug/PixDLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WhynotHug/PixDLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="WhynotHug/PixDLM")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WhynotHug/PixDLM", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 385 Bytes
3334467 | 1 2 3 4 5 6 7 8 9 | {
"image": "data/DRSeg/DRtest/night_countryroad_60m_30c_2_frame_1000.jpg",
"question": "Which vehicle is positioned nearest to the corner of the building along the brightly lit sidewalk at the bottom of the street?",
"expected_output": {
"answer": "The white sedan parked parallel to the curb beside the building corner.",
"mask": "binary target segmentation mask"
}
}
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