Object Detection
ultralytics
TensorBoard
PyTorch
v5
ultralyticsplus
yolov8
yolo
vision
visdrone
uav
Eval Results (legacy)
Instructions to use Dricz/gun-obj-detection-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Dricz/gun-obj-detection-5 with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("Dricz/gun-obj-detection-5") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Create preprocessor_config.json
Browse files- preprocessor_config.json +25 -0
preprocessor_config.json
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{
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"do_convert_annotations": true,
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"do_normalize": true,
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"do_pad": true,
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"do_rescale": true,
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"do_resize": true,
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"format": "coco_detection",
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"image_mean": [
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0.485,
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0.456,
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0.406
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],
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"image_processor_type": "DetrImageProcessor",
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"image_std": [
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0.229,
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0.224,
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0.225
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],
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"longest_edge": 1333,
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"shortest_edge": 800
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}
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}
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