Object Detection
ultralytics
computer-vision
yolov8
vehicle-detection
traffic-analysis
highway-monitoring
Instructions to use vietnguyennn0705/highway-vehicle-detection-code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use vietnguyennn0705/highway-vehicle-detection-code with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("vietnguyennn0705/highway-vehicle-detection-code") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Nguyễn Quốc Việt commited on
Upload test_improved_model.bat with huggingface_hub
Browse files- test_improved_model.bat +20 -0
test_improved_model.bat
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@echo off
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echo ============================================================
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echo TESTING IMPROVED MODEL WITH BETTER TRUCK/BUS CLASSIFICATION
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echo ============================================================
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echo.
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echo Model: yolov8m_stage2_improved
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echo Video: stage2_final_test.mp4
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echo Output: detection_output_improved.mp4
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echo.
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call venv\Scripts\activate.bat
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python main.py --video stage2_final_test.mp4 --output detection_output_improved.mp4
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echo.
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echo ============================================================
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echo TESTING COMPLETED!
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echo ============================================================
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echo Check detection_output_improved.mp4 for results
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pause
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