Add YOLO11 TensorRT quantization benchmark scripts

- Engine build scripts (FP16/INT8)
- Benchmark validation scripts
- Result parsing and analysis tools
- COCO dataset configuration

test_two_engines.bat

@@ -0,0 +1,17 @@
+@echo off
+echo ============================================
+echo Build FP16 480p + Test FP16 480p
+echo ============================================
+
+call conda activate yolo
+
+echo [1/2] Building FP16 480p engine...
+trtexec --onnx=yolo11n.onnx --saveEngine=yolo11n_fp16_480.engine --explicitBatch --fp16 --workspace=4096 --builderOptimizationLevel=4 --minShapes=images:1x3x480x480 --optShapes=images:4x3x480x480 --maxShapes=images:8x3x480x480 --useCudaGraph --useSpinWait --noTF32
+
+echo.
+echo [2/2] Testing FP16 480p...
+yolo val model=yolo11n_fp16_480.engine data=coco.yaml imgsz=480 batch=1 device=0 classes=0,1,2,3,5,7 > fp16_480_results.txt 2>&1
+
+echo.
+echo Done. Run: python parse_simple.py
+pause