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
| from .image_encoder import ImageEncoderViT | |
| from .mask_decoder import MaskDecoder | |
| from .prompt_encoder import PromptEncoder | |
| from .sam import Sam | |
| from .transformer import TwoWayTransformer | |
| from .common import LayerNorm2d | |
| from .mask_decoder_multi_scale import MaskDecoderMultiScale, Three_Level_Multi_Scale_Decoder | |