Instructions to use ArrayDice/Vehicle_Detection_Model_Zoom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArrayDice/Vehicle_Detection_Model_Zoom with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="ArrayDice/Vehicle_Detection_Model_Zoom")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("ArrayDice/Vehicle_Detection_Model_Zoom") model = AutoModelForObjectDetection.from_pretrained("ArrayDice/Vehicle_Detection_Model_Zoom", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 477 Bytes
c5a204a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | {
"do_convert_annotations": true,
"do_normalize": true,
"do_pad": true,
"do_rescale": true,
"do_resize": true,
"format": "coco_detection",
"image_mean": [
0.485,
0.456,
0.406
],
"image_processor_type": "DetrImageProcessor",
"image_std": [
0.229,
0.224,
0.225
],
"pad_size": {
"height": 320,
"width": 320
},
"resample": 2,
"rescale_factor": 0.00392156862745098,
"size": {
"height": 320,
"width": 320
}
}
|