Object Detection
Transformers
Safetensors
bevformer
vision
3d-object-detection
autonomous-driving
nuscenes
Instructions to use hasanfaesal/bevformer-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hasanfaesal/bevformer-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="hasanfaesal/bevformer-tiny")# pip install -U transformers accelerate # Load model directly from transformers import BevformerFor3DObjectDetection model = BevformerFor3DObjectDetection.from_pretrained("hasanfaesal/bevformer-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 330 Bytes
b559ef9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | {
"do_normalize": true,
"do_pad": true,
"do_resize": true,
"image_mean": [
123.675,
116.28,
103.53
],
"image_processor_type": "BevformerImageProcessor",
"image_std": [
58.395,
57.12,
57.375
],
"pad_size_divisor": 32,
"resample": 2,
"size": {
"height": 450,
"width": 800
}
}
|