docs(reproduce): add vertical baseline scripts

[xie-guangzhen]

Description | 描述

Resubmission after the valid RhinoBird claim window opened on July 1.

Adds reproducible baseline scripts for issue #49 to compare YOLO-Master-v0.1-N and YOLO-Master-EsMoE-N on dense vertical datasets:

• VisDrone aerial dense small-object detection
• SKU-110K retail dense product detection

The scripts use the built-in dataset YAML files and release weights from YOLO-Master-v26.02, then collect final metrics from Ultralytics results.csv into per-dataset summary CSV files.

Related Issue | 关联 Issue

Fixes #49

Files Added | 新增文件

• scripts/reproduce/reproduce_visdrone.py
• scripts/reproduce/reproduce_sku110k.py
• scripts/reproduce/_domain_baseline_common.py
• scripts/reproduce/README.md

Self-test Checklist | 自测清单

• Python syntax check passed
• VisDrone dry-run emits the expected two-model training commands
• SKU-110K dry-run emits the expected two-model training commands
• git diff --check passed

Validation commands run on the original implementation branch:

python3 -m py_compile scripts/reproduce/_domain_baseline_common.py scripts/reproduce/reproduce_visdrone.py scripts/reproduce/reproduce_sku110k.py
python3 scripts/reproduce/reproduce_visdrone.py --dry-run --epochs 100 --imgsz 640
python3 scripts/reproduce/reproduce_sku110k.py --dry-run --epochs 100 --imgsz 640
git diff --check