Chengfang Lu
7c43b44c57
Huaxu Sentinel Active Safety Platform with embedded algorithm code, Docker Compose setup, and vendored dataset scaffolds for clone-and-run. Co-authored-by: Cursor <cursoragent@cursor.com>
207 lines
9.0 KiB
Plaintext
207 lines
9.0 KiB
Plaintext
|
||
======================================================================
|
||
【ddaw_1124】YOLO 检测 path: /home/chengfanglu/DATA/DMS/DATASET/gyp/ddaw_1124
|
||
======================================================================
|
||
|
||
当前划分: train=3824 val=424 test=0 合计=4248
|
||
类别数(nc): 9 类别ID: [0, 1, 2, 3, 4, 5, 6, 7, 8]
|
||
|
||
--- 当前：含该类别的图片数（按 split）---
|
||
cls train val val% test 合计
|
||
0 3072 348 10.2% 0 3420
|
||
1 686 65 8.7% 0 751
|
||
2 1827 210 10.3% 0 2037
|
||
3 619 71 10.3% 0 690
|
||
4 279 29 9.4% 0 308
|
||
5 881 99 10.1% 0 980
|
||
6 2415 273 10.2% 0 2688
|
||
7 659 64 8.9% 0 723
|
||
8 138 15 9.8% 0 153
|
||
|
||
当前 val 占比: min=8.7% max=10.3% 极差=1.7% (目标≈10%)
|
||
✓ 当前各类 val 比例已较均衡
|
||
|
||
--- 分层重分后(模拟, val_ratio=0.1, seed=42) ---
|
||
train=3823 val=425
|
||
cls train val val%
|
||
0 3074 346 10.1%
|
||
1 674 77 10.3%
|
||
2 1834 203 10.0%
|
||
3 620 70 10.1%
|
||
4 277 31 10.1%
|
||
5 882 98 10.0%
|
||
6 2423 265 9.9%
|
||
7 651 72 10.0%
|
||
8 138 15 9.8%
|
||
|
||
重分后 val 占比: min=9.8% max=10.3% 极差=0.4%
|
||
✓ 分层后各类 val 比例均衡（极差≤2%）
|
||
|
||
======================================================================
|
||
【addw_0523】YOLO 检测 path: /home/chengfanglu/DATA/DMS/DATASET/gyp/addw_0523
|
||
======================================================================
|
||
|
||
当前划分: train=2375 val=594 test=0 合计=2969
|
||
类别数(nc): 4 类别ID: [0, 1, 2, 3]
|
||
|
||
--- 当前：含该类别的图片数（按 split）---
|
||
cls train val val% test 合计
|
||
0 1367 370 21.3% 0 1737
|
||
1 415 120 22.4% 0 535
|
||
2 1018 229 18.4% 0 1247
|
||
3 1812 445 19.7% 0 2257
|
||
|
||
当前 val 占比: min=18.4% max=22.4% 极差=4.1% (目标≈10%)
|
||
⚠ 当前各类 val 比例不均衡
|
||
|
||
--- 分层重分后(模拟, val_ratio=0.1, seed=42) ---
|
||
train=2671 val=298
|
||
cls train val val%
|
||
0 1565 172 9.9%
|
||
1 481 54 10.1%
|
||
2 1121 126 10.1%
|
||
3 2029 228 10.1%
|
||
|
||
重分后 val 占比: min=9.9% max=10.1% 极差=0.2%
|
||
✓ 分层后各类 val 比例均衡（极差≤2%）
|
||
|
||
======================================================================
|
||
【isa_detect】YOLO 检测 path: /home/chengfanglu/DATA/DMS/DATASET/gyp/isa_detect
|
||
======================================================================
|
||
|
||
当前划分: train=50480 val=9584 test=0 合计=60064
|
||
类别数(nc): 4 类别ID: [0, 1, 2, 3]
|
||
|
||
--- 当前：含该类别的图片数（按 split）---
|
||
cls train val val% test 合计
|
||
0 15871 2971 15.8% 0 18842
|
||
1 33355 7060 17.5% 0 40415
|
||
2 7348 1204 14.1% 0 8552
|
||
3 14715 2429 14.2% 0 17144
|
||
|
||
当前 val 占比: min=14.1% max=17.5% 极差=3.4% (目标≈10%)
|
||
⚠ 当前各类 val 比例不均衡
|
||
|
||
--- 分层重分后(模拟, val_ratio=0.1, seed=42) ---
|
||
train=54066 val=5940
|
||
cls train val val%
|
||
0 16883 1902 10.1%
|
||
1 36344 4013 9.9%
|
||
2 7693 855 10.0%
|
||
3 15435 1707 10.0%
|
||
|
||
重分后 val 占比: min=9.9% max=10.1% 极差=0.2%
|
||
✓ 分层后各类 val 比例均衡（极差≤2%）
|
||
|
||
======================================================================
|
||
【dam_0516】YOLO 检测 path: /home/chengfanglu/DATA/DMS/DATASET/gyp/dam_0516
|
||
======================================================================
|
||
|
||
当前划分: train=3780 val=1890 test=0 合计=5670
|
||
类别数(nc): 15 类别ID: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]
|
||
|
||
--- 当前：含该类别的图片数（按 split）---
|
||
cls train val val% test 合计
|
||
0 2582 1337 34.1% 0 3919
|
||
1 726 373 33.9% 0 1099
|
||
2 1670 829 33.2% 0 2499
|
||
3 784 395 33.5% 0 1179
|
||
4 266 136 33.8% 0 402
|
||
5 1141 542 32.2% 0 1683
|
||
6 2066 1050 33.7% 0 3116
|
||
7 670 324 32.6% 0 994
|
||
8 445 217 32.8% 0 662
|
||
9 1088 528 32.7% 0 1616
|
||
10 306 164 34.9% 0 470
|
||
11 838 464 35.6% 0 1302
|
||
12 883 489 35.6% 0 1372
|
||
13 3700 1843 33.2% 0 5543
|
||
14 360 151 29.5% 0 511
|
||
|
||
当前 val 占比: min=29.5% max=35.6% 极差=6.1% (目标≈10%)
|
||
⚠ 当前各类 val 比例不均衡
|
||
|
||
--- 分层重分后(模拟, val_ratio=0.1, seed=42) ---
|
||
train=5104 val=566
|
||
cls train val val%
|
||
0 3525 394 10.1%
|
||
1 986 113 10.3%
|
||
2 2240 259 10.4%
|
||
3 1074 105 8.9%
|
||
4 362 40 10.0%
|
||
5 1497 186 11.1%
|
||
6 2826 290 9.3%
|
||
7 896 98 9.9%
|
||
8 595 67 10.1%
|
||
9 1473 143 8.8%
|
||
10 423 47 10.0%
|
||
11 1180 122 9.4%
|
||
12 1241 131 9.5%
|
||
13 4988 555 10.0%
|
||
14 459 52 10.2%
|
||
|
||
重分后 val 占比: min=8.8% max=11.1% 极差=2.2%
|
||
~ 分层后明显改善，少数类因样本极少会有小幅偏差
|
||
|
||
======================================================================
|
||
【yoloface-0726】YOLO 检测 path: /home/chengfanglu/DATA/DMS/DATASET/gyp/yoloface-0726
|
||
======================================================================
|
||
|
||
当前划分: train=4145 val=1464 test=0 合计=5609
|
||
类别数(nc): 1 类别ID: [0]
|
||
|
||
--- 当前：含该类别的图片数（按 split）---
|
||
cls train val val% test 合计
|
||
0 4137 1462 26.1% 0 5599
|
||
|
||
当前 val 占比: min=26.1% max=26.1% 极差=0.0% (目标≈10%)
|
||
✓ 当前各类 val 比例已较均衡
|
||
|
||
--- 分层重分后(模拟, val_ratio=0.1, seed=42) ---
|
||
train=4970 val=551
|
||
cls train val val%
|
||
0 4960 551 10.0%
|
||
|
||
重分后 val 占比: min=10.0% max=10.0% 极差=0.0%
|
||
✓ 分层后各类 val 比例均衡（极差≤2%）
|
||
|
||
======================================================================
|
||
【isa_class_0116】分类(文件夹) path: /home/chengfanglu/DATA/DMS/DATASET/gyp/isa_class_0116
|
||
======================================================================
|
||
split: ['test', 'train'] 类别数: 92 总图片: 61747
|
||
|
||
--- 每类图片数（前20类 + 汇总）---
|
||
class test train
|
||
005 43 393
|
||
010 55 501
|
||
015 47 424
|
||
020 67 604
|
||
030 214 1933
|
||
040 152 1369
|
||
050 279 2513
|
||
060 224 2024
|
||
070 179 1614
|
||
080 285 2572
|
||
090 116 1045
|
||
100 207 1866
|
||
110 88 794
|
||
120 156 1407
|
||
130 47 429
|
||
arrow_right 126 1138
|
||
arrow_up 38 350
|
||
bycycle 40 368
|
||
dis_005 30 279
|
||
dis_010 23 213
|
||
(仅列前20类，共92类)
|
||
|
||
当前为 train/test 结构（无 val）；若需 val 请用 stratified_split.py classify --src-split train
|
||
若从 train 按类划 10% val: val% min=8.3% max=11.8% 极差=3.4%
|
||
|
||
test: 92类 min=1 max=310 avg=67 合计=6133
|
||
|
||
train: 92类 min=17 max=2792 avg=604 合计=55614
|
||
|
||
======================================================================
|
||
【dam_src_0417】原始 jpg+xml path: /home/chengfanglu/DATA/DMS/DATASET/gyp/dam_src_0417
|
||
======================================================================
|
||
src_data_0417_pick: jpg=2455 xml=2455 (无 YOLO 标签，待转换后按类划分) |