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| """
EP-200N (i.MX 95, 8 TOPS) IMS 部署分析
对比: QCS8255 (26 TOPS), IQ8 (40 TOPS)
"""
import numpy as np
ims_modules = {
'DMS 人脸检测': 0.26,
'DMS 关键点': 0.04,
'DMS 疲劳检测': 0.06,
'DMS 分心检测': 0.11,
'OMS 姿态检测': 0.18,
'OMS CPD (雷达)': 0.008,
'OMS 安全带': 0.025,
'融合 多传感器': 0.15,
}
total = sum(ims_modules.values())
print("=" * 65)
print("EP-200N (8 TOPS) IMS 部署分析")
print("=" * 65)
print(f"\n{'模块':<20s} {'TOPS':>8s}")
print("-" * 30)
for name, tops in ims_modules.items():
print(f"{name:<20s} {tops:>7.3f}")
print("-" * 30)
print(f"{'总计':<20s} {total:>7.3f}")
print(f"\n{'='*65}")
print("平台对比")
print(f"{'='*65}")
platforms = [
('EP-200N (i.MX 95)', 8, 6, '工业SoM'),
('QCS8255', 26, 5, '车载标准'),
('IQ8', 40, 12, '工业+车载'),
('IQ9', 100, 20, '高性能'),
]
print(f"\n{'平台':<22s} {'TOPS':>6s} {'功耗W':>6s} {'可用':>6s} {'余量':>8s} {'适用场景':<20s}")
print("-" * 72)
for name, tops, power, label in platforms:
usable = tops >= total
margin = tops - total
if tops < 0.5:
scenario = '仅DMS基础'
elif tops < 10:
scenario = 'DMS全功能'
elif tops < 30:
scenario = 'DMS+OMS部分'
elif tops < 50:
scenario = 'DMS+OMS全功能'
else:
scenario = '全功能IMS'
status = '✅' if usable else '❌'
print(f"{name:<22s} {tops:>5d} {power:>5d} {status:>6s} {margin:>7.2f}T {scenario:<20s}")
print(f"\n{'='*65}")
print("EP-200N 推荐部署方案")
print(f"{'='*65}")
dms_total = sum(v for k, v in ims_modules.items() if 'DMS' in k)
oms_total = sum(v for k, v in ims_modules.items() if 'OMS' in k)
fusion_total = ims_modules['融合 多传感器']
print(f"\n DMS 全功能: {dms_total:.3f} TOPS → EP-200N (8T) 余量 {8-dms_total:.2f}T ✅")
print(f" DMS+OMS: {(dms_total+oms_total):.3f} TOPS → EP-200N (8T) 余量 {8-dms_total-oms_total:.2f}T ✅")
print(f" DMS+OMS+融合: {total:.3f} TOPS → EP-200N (8T) 余量 {8-total:.2f}T ✅")
print(f"\n 结论: EP-200N 8 TOPS 可运行全功能 IMS")
print(f" 限制: 算力余量小 ({8-total:.1f}T), 无空间运行额外模型")
print(f" 优势: 功耗仅 6W, SoM 封装, 工业级")
|
