- Engine build scripts (FP16/INT8) - Benchmark validation scripts - Result parsing and analysis tools - COCO dataset configuration
28 lines
907 B
Batchfile
28 lines
907 B
Batchfile
@echo off
|
|
echo ============================================
|
|
echo Full COCO Benchmark: FP16-480p vs INT8-640p
|
|
echo Dataset: COCO val2017 (5000 images)
|
|
echo No class filtering - full 80 classes
|
|
echo ============================================
|
|
|
|
call conda activate yolo
|
|
|
|
echo [1/3] Build FP16 480p engine (if not exists)...
|
|
if not exist yolo11n_fp16_480.engine (
|
|
yolo export model=yolo11n.pt format=engine imgsz=480 device=0 half=True
|
|
) else (
|
|
echo FP16 480p engine already exists
|
|
)
|
|
|
|
echo.
|
|
echo [2/3] Test FP16 480p (full COCO, no classes filter)...
|
|
yolo val model=yolo11n_fp16_480.engine data=coco.yaml imgsz=480 batch=1 device=0 > fp16_480_full_results.txt 2>&1
|
|
|
|
echo.
|
|
echo [3/3] Test INT8 640p (full COCO, no classes filter)...
|
|
yolo val model=yolo11n_int8_b1_8.engine data=coco.yaml imgsz=640 batch=1 device=0 > int8_640_full_results.txt 2>&1
|
|
|
|
echo.
|
|
echo Done. Run: python parse_full_coco.py
|
|
pause
|