- Engine build scripts (FP16/INT8) - Benchmark validation scripts - Result parsing and analysis tools - COCO dataset configuration
30 lines
1.1 KiB
Batchfile
30 lines
1.1 KiB
Batchfile
@echo off
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echo ============================================
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echo YOLO11n Person and Vehicle Detection Benchmark
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echo ============================================
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call conda activate yolo
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echo [1/4] Testing FP32...
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yolo val model=yolo11n.pt data=coco_person_vehicle.yaml imgsz=640 rect=False batch=1 > fp32_results.txt 2>&1
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echo Done: fp32_results.txt
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echo [2/4] Testing INT8 640p...
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yolo val model=yolo11n_int8_b1_8.engine data=coco_person_vehicle.yaml imgsz=640 rect=False batch=1 > int8_640_results.txt 2>&1
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echo Done: int8_640_results.txt
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echo [3/4] Testing FP16 640p...
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yolo val model=yolo11n_fp16_640.engine data=coco_person_vehicle.yaml imgsz=640 rect=False batch=1 > fp16_640_results.txt 2>&1
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echo Done: fp16_640_results.txt
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echo [4/4] Testing FP16 480p...
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yolo val model=yolo11n_fp16_480.engine data=coco_person_vehicle.yaml imgsz=480 rect=False batch=1 > fp16_480_results.txt 2>&1
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echo Done: fp16_480_results.txt
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echo.
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echo ============================================
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echo All validation tests completed!
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echo Now run: python parse_results.py
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echo ============================================
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pause
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