Image Segmentation
Transformers
Safetensors
semantic-segmentation
drone
rgb
thermal
infrared
dinov3
aerial
Instructions to use markus-42/SegFly-Firefly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use markus-42/SegFly-Firefly with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="markus-42/SegFly-Firefly")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("markus-42/SegFly-Firefly", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "processor_class": "SegformerImageProcessor", | |
| "do_normalize": true, | |
| "do_reduce_labels": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.485, | |
| 0.456, | |
| 0.406 | |
| ], | |
| "image_processor_type": "SegformerImageProcessor", | |
| "image_std": [ | |
| 0.229, | |
| 0.224, | |
| 0.225 | |
| ], | |
| "resample": 0, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "height": 640, | |
| "width": 640 | |
| } | |
| } | |