• 基于yolov5s+bifpn实践隧道裂缝裂痕检测

    yolov5系列自诞生已经持续迭代了很多个版本了，目前官方开发者迭代的最新版本是v6.2，已经覆盖了分类、检测盒分割三大主流CV任务了，基于yolov5融合各种tricks是很多开发者或者是学生喜欢做的事情，基于yolov5也已经诞生了很多学术文章了，bifpn是一种比较有效的特征融合技术，最早在efficientnet中提出，之后很多网络也都有尝试进行融合，今天正好有时间就想着，基于yolov5来开发融合bifpn的目标检测模型，用于隧道内的裂缝裂痕检测。

    首先看下最终的效果图，如下所示：

    为了整体直观，这里专门是开发了对应的界面，方便使用的。

    完整项目截图如下所示：

     下表是对整个项目中各个文件的介绍说明：

    文件名称文件说明
    dataset/数据集目录
    models/模型配置目录
    runs/模型结果目录
    utils/公共组件目录
    data/数据参数目录
    weights/预训练权重目录
    app.gifapp效果动图
    demo.gif检测样例动图
    detect.py检测推理模块
    export.py模型转化模块
    guiAPP.pyAPP模块
    inference.py离线推理精简模块
    logs.out训练日志
    startAPP.bat双击启动APP脚本
    test.jpg测试样例图片
    train.py训练模块
    val.py评估模块
    yolov5s.onnxyolov5s原生模型
    yolov5s.ptyolov5s原生模型
    yolov5s-bifpn.onnxyolov5s-bifpn模型
    yolov5s-bifpn.ptyolov5s-bifpn模型

    data目录如下所示：

     logo是用于界面的这个不用管，可以根据自己需要直接替换接口，self.yaml是我们编写的用于训练的数据配置，如下：

     其他的都是项目自带的这里就不再介绍了。

    dataset是我们构建的训练集-测试集目录。数据样例如下所示：

     models目录如下所示：

     yolov5s.yaml和yolov5s_bifpn.yaml分别表示原生的yolov5s模型和融合bifpn的yolov5s模型，这里以原生的yolov5s为例，如下：

     这里需要修改nc。

    runs是项目运行自动创建的结果存储目录。

    utils是项目公用组件目录。

    weights是用于存放预训练权重的目录。

    启动train.py模块即可执行模型的训练计算，日志输出如下：

    1. Starting training for 100 epochs...
    2.  
    3.      Epoch   gpu_mem       box       obj       cls    labels  img_size
    4.  
    5.   0%|          | 0/59 [00:00
    6.       0/99     6.29G     0.122    0.0985         0       611       640:   0%|          | 0/59 [00:03
    7.       0/99     6.29G     0.122    0.0985         0       611       640:   2%|▏         | 1/59 [00:05<05:28,  5.67s/it]
    8.       0/99     6.35G    0.1225    0.1005         0       699       640:   2%|▏         | 1/59 [00:09<05:28,  5.67s/it]
    9.       0/99     6.35G    0.1225    0.1005         0       699       640:   3%|▎         | 2/59 [00:09<04:08,  4.36s/it]
    10.       0/99     6.35G    0.1221    0.1014         0       655       640:   3%|▎         | 2/59 [00:12<04:08,  4.36s/it]
    11.       0/99     6.35G    0.1221    0.1014         0       655       640:   5%|▌         | 3/59 [00:12<03:39,  3.92s/it]
    12.       0/99     6.35G    0.1219    0.1022         0       671       640:   5%|▌         | 3/59 [00:15<03:39,  3.92s/it]
    13.       0/99     6.35G    0.1219    0.1022         0       671       640:   7%|▋         | 4/59 [00:15<03:24,  3.72s/it]
    14.       0/99     6.35G    0.1216    0.1006         0       573       640:   7%|▋         | 4/59 [00:19<03:24,  3.72s/it]
    15.       0/99     6.35G    0.1216    0.1006         0       573       640:   8%|▊         | 5/59 [00:19<03:18,  3.68s/it]
    16.       0/99     6.35G    0.1216    0.1013         0       676       640:   8%|▊         | 5/59 [00:23<03:18,  3.68s/it]
    17.       0/99     6.35G    0.1216    0.1013         0       676       640:  10%|█         | 6/59 [00:23<03:15,  3.69s/it]
    18.       0/99     6.35G    0.1215    0.1015         0       688       640:  10%|█         | 6/59 [00:26<03:15,  3.69s/it]
    19.       0/99     6.35G    0.1215    0.1015         0       688       640:  12%|█▏        | 7/59 [00:26<03:07,  3.61s/it]
    20.       0/99     6.35G    0.1213    0.1026         0       710       640:  12%|█▏        | 7/59 [00:29<03:07,  3.61s/it]
    21.       0/99     6.35G    0.1213    0.1026         0       710       640:  14%|█▎        | 8/59 [00:29<02:59,  3.51s/it]
    22.       0/99     6.35G     0.121    0.1038         0       701       640:  14%|█▎        | 8/59 [00:33<02:59,  3.51s/it]
    23.       0/99     6.35G     0.121    0.1038         0       701       640:  15%|█▌        | 9/59 [00:33<02:52,  3.45s/it]
    24.       0/99     6.35G    0.1208    0.1039         0       624       640:  15%|█▌        | 9/59 [00:36<02:52,  3.45s/it]
    25.       0/99     6.35G    0.1208    0.1039         0       624       640:  17%|█▋        | 10/59 [00:36<02:46,  3.40s/it]
    26.       0/99     6.35G    0.1207    0.1047         0       812       640:  17%|█▋        | 10/59 [00:40<02:46,  3.40s/it]
    27.       0/99     6.35G    0.1207    0.1047         0       812       640:  19%|█▊        | 11/59 [00:40<02:45,  3.44s/it]
    28.       0/99     6.35G    0.1203    0.1041         0       537       640:  19%|█▊        | 11/59 [00:43<02:45,  3.44s/it]
    29.       0/99     6.35G    0.1203    0.1041         0       537       640:  20%|██        | 12/59 [00:43<02:41,  3.44s/it]
    30.       0/99     6.35G    0.1197    0.1042         0       537       640:  20%|██        | 12/59 [00:46<02:41,  3.44s/it]
    31.       0/99     6.35G    0.1197    0.1042         0       537       640:  22%|██▏       | 13/59 [00:46<02:36,  3.41s/it]
    32.       0/99     6.35G    0.1193    0.1054         0       650       640:  22%|██▏       | 13/59 [00:50<02:36,  3.41s/it]
    33.       0/99     6.35G    0.1193    0.1054         0       650       640:  24%|██▎       | 14/59 [00:50<02:32,  3.38s/it]
    34.       0/99     6.35G    0.1189     0.105         0       549       640:  24%|██▎       | 14/59 [00:53<02:32,  3.38s/it]
    35.       0/99     6.35G    0.1189     0.105         0       549       640:  25%|██▌       | 15/59 [00:53<02:31,  3.44s/it]
    36.       0/99     6.35G    0.1189    0.1053         0       767       640:  25%|██▌       | 15/59 [00:57<02:31,  3.44s/it]
    37.       0/99     6.35G    0.1189    0.1053         0       767       640:  27%|██▋       | 16/59 [00:57<02:30,  3.51s/it]
    38.       0/99     6.35G    0.1185    0.1055         0       634       640:  27%|██▋       | 16/59 [01:00<02:30,  3.51s/it]
    39.       0/99     6.35G    0.1185    0.1055         0       634       640:  29%|██▉       | 17/59 [01:00<02:26,  3.48s/it]
    40.       0/99     6.35G    0.1181    0.1054         0       597       640:  29%|██▉       | 17/59 [01:04<02:26,  3.48s/it]
    41.       0/99     6.35G    0.1181    0.1054         0       597       640:  31%|███       | 18/59 [01:04<02:20,  3.43s/it]
    42.       0/99     6.35G    0.1179    0.1065         0       794       640:  31%|███       | 18/59 [01:07<02:20,  3.43s/it]
    43.       0/99     6.35G    0.1179    0.1065         0       794       640:  32%|███▏      | 19/59 [01:07<02:16,  3.40s/it]
    44.       0/99     6.35G    0.1175    0.1059         0       545       640:  32%|███▏      | 19/59 [01:10<02:16,  3.40s/it]
    45.       0/99     6.35G    0.1175    0.1059         0       545       640:  34%|███▍      | 20/59 [01:10<02:11,  3.38s/it]
    46.       0/99     6.35G    0.1171    0.1052         0       522       640:  34%|███▍      | 20/59 [01:14<02:11,  3.38s/it]
    47.       0/99     6.35G    0.1171    0.1052         0       522       640:  36%|███▌      | 21/59 [01:14<02:07,  3.35s/it]
    48.       0/99     6.35G    0.1167    0.1047         0       505       640:  36%|███▌      | 21/59 [01:17<02:07,  3.35s/it]
    49.       0/99     6.35G    0.1167    0.1047         0       505       640:  37%|███▋      | 22/59 [01:17<02:05,  3.38s/it]
    50.       0/99     6.35G    0.1164    0.1052         0       697       640:  37%|███▋      | 22/59 [01:21<02:05,  3.38s/it]
    51.       0/99     6.35G    0.1164    0.1052         0       697       640:  39%|███▉      | 23/59 [01:21<02:04,  3.47s/it]
    52.       0/99     6.35G    0.1161    0.1057         0       765       640:  39%|███▉      | 23/59 [01:24<02:04,  3.47s/it]
    53.       0/99     6.35G    0.1161    0.1057         0       765       640:  41%|████      | 24/59 [01:24<02:02,  3.50s/it]
    54.       0/99     6.35G    0.1158    0.1062         0       722       640:  41%|████      | 24/59 [01:28<02:02,  3.50s/it]
    55.       0/99     6.35G    0.1158    0.1062         0       722       640:  42%|████▏     | 25/59 [01:28<01:56,  3.43s/it]
    56.       0/99     6.35G    0.1155    0.1062         0       653       640:  42%|████▏     | 25/59 [01:31<01:56,  3.43s/it]
    57.       0/99     6.35G    0.1155    0.1062         0       653       640:  44%|████▍     | 26/59 [01:31<01:52,  3.40s/it]
    58.       0/99     6.35G    0.1152    0.1061         0       693       640:  44%|████▍     | 26/59 [01:34<01:52,  3.40s/it]
    59.       0/99     6.35G    0.1152    0.1061         0       693       640:  46%|████▌     | 27/59 [01:34<01:47,  3.37s/it]
    60.       0/99     6.35G    0.1149    0.1056         0       629       640:  46%|████▌     | 27/59 [01:38<01:47,  3.37s/it]
    61.       0/99     6.35G    0.1149    0.1056         0       629       640:  47%|████▋     | 28/59 [01:38<01:43,  3.35s/it]
    62.       0/99     6.35G    0.1146     0.105         0       603       640:  47%|████▋     | 28/59 [01:41<01:43,  3.35s/it]
    63.       0/99     6.35G    0.1146     0.105         0       603       640:  49%|████▉     | 29/59 [01:41<01:40,  3.35s/it]
    64.       0/99     6.35G    0.1141    0.1045         0       521       640:  49%|████▉     | 29/59 [01:44<01:40,  3.35s/it]
    65.       0/99     6.35G    0.1141    0.1045         0       521       640:  51%|█████     | 30/59 [01:44<01:39,  3.42s/it]
    66.       0/99     6.35G    0.1138    0.1047         0       748       640:  51%|█████     | 30/59 [01:49<01:39,  3.42s/it]
    67.       0/99     6.35G    0.1138    0.1047         0       748       640:  53%|█████▎    | 31/59 [01:49<01:40,  3.60s/it]
    68.       0/99     6.35G    0.1134    0.1044         0       581       640:  53%|█████▎    | 31/59 [01:52<01:40,  3.60s/it]
    69.       0/99     6.35G    0.1134    0.1044         0       581       640:  54%|█████▍    | 32/59 [01:52<01:34,  3.51s/it]
    70.       0/99     6.35G     0.113    0.1041         0       579       640:  54%|█████▍    | 32/59 [01:55<01:34,  3.51s/it]
    71.       0/99     6.35G     0.113    0.1041         0       579       640:  56%|█████▌    | 33/59 [01:55<01:29,  3.44s/it]
    72.       0/99     6.35G    0.1126    0.1042         0       720       640:  56%|█████▌    | 33/59 [01:58<01:29,  3.44s/it]
    73.       0/99     6.35G    0.1126    0.1042         0       720       640:  58%|█████▊    | 34/59 [01:58<01:24,  3.39s/it]
    74.       0/99     6.35G    0.1122    0.1039         0       603       640:  58%|█████▊    | 34/59 [02:02<01:24,  3.39s/it]
    75.       0/99     6.35G    0.1122    0.1039         0       603       640:  59%|█████▉    | 35/59 [02:02<01:20,  3.36s/it]
    76.       0/99     6.35G    0.1119    0.1037         0       702       640:  59%|█████▉    | 35/59 [02:05<01:20,  3.36s/it]
    77.       0/99     6.35G    0.1119    0.1037         0       702       640:  61%|██████    | 36/59 [02:05<01:18,  3.41s/it]
    78.       0/99     6.35G    0.1115    0.1036         0       616       640:  61%|██████    | 36/59 [02:09<01:18,  3.41s/it]
    79.       0/99     6.35G    0.1115    0.1036         0       616       640:  63%|██████▎   | 37/59 [02:09<01:16,  3.50s/it]
    80.       0/99     6.35G    0.1111    0.1034         0       655       640:  63%|██████▎   | 37/59 [02:12<01:16,  3.50s/it]
    81.       0/99     6.35G    0.1111    0.1034         0       655       640:  64%|██████▍   | 38/59 [02:12<01:13,  3.49s/it]
    82.       0/99     6.35G    0.1107    0.1036         0       728       640:  64%|██████▍   | 38/59 [02:16<01:13,  3.49s/it]
    83.       0/99     6.35G    0.1107    0.1036         0       728       640:  66%|██████▌   | 39/59 [02:16<01:08,  3.44s/it]
    84.       0/99     6.35G    0.1103    0.1038         0       801       640:  66%|██████▌   | 39/59 [02:19<01:08,  3.44s/it]
    85.       0/99     6.35G    0.1103    0.1038         0       801       640:  68%|██████▊   | 40/59 [02:19<01:04,  3.40s/it]
    86.       0/99     6.35G      0.11    0.1038         0       723       640:  68%|██████▊   | 40/59 [02:22<01:04,  3.40s/it]
    87.       0/99     6.35G      0.11    0.1038         0       723       640:  69%|██████▉   | 41/59 [02:22<01:00,  3.37s/it]
    88.       0/99     6.35G    0.1096    0.1034         0       555       640:  69%|██████▉   | 41/59 [02:26<01:00,  3.37s/it]
    89.       0/99     6.35G    0.1096    0.1034         0       555       640:  71%|███████   | 42/59 [02:26<00:57,  3.36s/it]
    90.       0/99     6.35G    0.1093    0.1034         0       642       640:  71%|███████   | 42/59 [02:29<00:57,  3.36s/it]
    91.       0/99     6.35G    0.1093    0.1034         0       642       640:  73%|███████▎  | 43/59 [02:29<00:54,  3.43s/it]
    92.       0/99     6.35G    0.1089    0.1032         0       632       640:  73%|███████▎  | 43/59 [02:33<00:54,  3.43s/it]
    93.       0/99     6.35G    0.1089    0.1032         0       632       640:  75%|███████▍  | 44/59 [02:33<00:52,  3.47s/it]
    94.       0/99     6.35G    0.1085     0.103         0       544       640:  75%|███████▍  | 44/59 [02:36<00:52,  3.47s/it]
    95.       0/99     6.35G    0.1085     0.103         0       544       640:  76%|███████▋  | 45/59 [02:36<00:47,  3.41s/it]
    96.       0/99     6.35G    0.1081    0.1025         0       485       640:  76%|███████▋  | 45/59 [02:39<00:47,  3.41s/it]
    97.       0/99     6.35G    0.1081    0.1025         0       485       640:  78%|███████▊  | 46/59 [02:39<00:43,  3.38s/it]
    98.       0/99     6.35G    0.1077    0.1023         0       600       640:  78%|███████▊  | 46/59 [02:43<00:43,  3.38s/it]
    99.       0/99     6.35G    0.1077    0.1023         0       600       640:  80%|███████▉  | 47/59 [02:43<00:40,  3.35s/it]
    100.       0/99     6.35G    0.1073     0.102         0       513       640:  80%|███████▉  | 47/59 [02:46<00:40,  3.35s/it]
    101.       0/99     6.35G    0.1073     0.102         0       513       640:  81%|████████▏ | 48/59 [02:46<00:36,  3.34s/it]
    102.       0/99     6.35G    0.1069    0.1019         0       522       640:  81%|████████▏ | 48/59 [02:49<00:36,  3.34s/it]
    103.       0/99     6.35G    0.1069    0.1019         0       522       640:  83%|████████▎ | 49/59 [02:49<00:33,  3.35s/it]
    104.       0/99     6.35G    0.1065     0.102         0       687       640:  83%|████████▎ | 49/59 [02:53<00:33,  3.35s/it]
    105.       0/99     6.35G    0.1065     0.102         0       687       640:  85%|████████▍ | 50/59 [02:53<00:30,  3.43s/it]
    106.       0/99     6.35G    0.1061    0.1018         0       541       640:  85%|████████▍ | 50/59 [02:57<00:30,  3.43s/it]
    107.       0/99     6.35G    0.1061    0.1018         0       541       640:  86%|████████▋ | 51/59 [02:57<00:28,  3.52s/it]
    108.       0/99     6.35G    0.1058    0.1017         0       615       640:  86%|████████▋ | 51/59 [03:00<00:28,  3.52s/it]
    109.       0/99     6.35G    0.1058    0.1017         0       615       640:  88%|████████▊ | 52/59 [03:00<00:24,  3.49s/it]
    110.       0/99     6.35G    0.1055    0.1018         0       781       640:  88%|████████▊ | 52/59 [03:03<00:24,  3.49s/it]
    111.       0/99     6.35G    0.1055    0.1018         0       781       640:  90%|████████▉ | 53/59 [03:03<00:20,  3.44s/it]
    112.       0/99     6.35G    0.1052    0.1017         0       586       640:  90%|████████▉ | 53/59 [03:07<00:20,  3.44s/it]
    113.       0/99     6.35G    0.1052    0.1017         0       586       640:  92%|█████████▏| 54/59 [03:07<00:16,  3.39s/it]
    114.       0/99     6.35G    0.1049    0.1016         0       575       640:  92%|█████████▏| 54/59 [03:10<00:16,  3.39s/it]
    115.       0/99     6.35G    0.1049    0.1016         0       575       640:  93%|█████████▎| 55/59 [03:10<00:13,  3.36s/it]
    116.       0/99     6.35G    0.1046    0.1019         0       715       640:  93%|█████████▎| 55/59 [03:13<00:13,  3.36s/it]
    117.       0/99     6.35G    0.1046    0.1019         0       715       640:  95%|█████████▍| 56/59 [03:13<00:10,  3.36s/it]
    118.       0/99     6.35G    0.1042    0.1019         0       618       640:  95%|█████████▍| 56/59 [03:17<00:10,  3.36s/it]
    119.       0/99     6.35G    0.1042    0.1019         0       618       640:  97%|█████████▋| 57/59 [03:17<00:06,  3.45s/it]
    120.       0/99     6.35G    0.1039    0.1017         0       544       640:  97%|█████████▋| 57/59 [03:21<00:06,  3.45s/it]
    121.       0/99     6.35G    0.1039    0.1017         0       544       640:  98%|█████████▊| 58/59 [03:21<00:03,  3.49s/it]
    122.       0/99     6.35G    0.1036    0.1016         0        96       640:  98%|█████████▊| 58/59 [03:21<00:03,  3.49s/it]
    123.       0/99     6.35G    0.1036    0.1016         0        96       640: 100%|██████████| 59/59 [03:21<00:00,  2.61s/it]
    124.       0/99     6.35G    0.1036    0.1016         0        96       640: 100%|██████████| 59/59 [03:21<00:00,  3.42s/it]
    125.  
    126.                Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95:   0%|          | 0/4 [00:00
    127.                Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95:  25%|██▌       | 1/4 [00:02<00:07,  2.63s/it]
    128.                Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95:  50%|█████     | 2/4 [00:05<00:05,  2.75s/it]
    129.                Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95:  75%|███████▌  | 3/4 [00:07<00:02,  2.61s/it]
    130.                Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100%|██████████| 4/4 [00:08<00:00,  1.95s/it]
    131.                Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100%|██████████| 4/4 [00:08<00:00,  2.21s/it]
    132.                  all        207       3407      0.115      0.277     0.0747     0.0141
    133.  
    134.      Epoch   gpu_mem       box       obj       cls    labels  img_size
    135.  
    136.   0%|          | 0/59 [00:00
    137.       1/99     6.35G   0.08355   0.09766         0       566       640:   0%|          | 0/59 [00:03
    138.       1/99     6.35G   0.08355   0.09766         0       566       640:   2%|▏         | 1/59 [00:03<03:26,  3.56s/it]
    139.       1/99     6.35G   0.08539   0.09904         0       652       640:   2%|▏         | 1/59 [00:07<03:26,  3.56s/it]
    140.       1/99     6.35G   0.08539   0.09904         0       652       640:   3%|▎         | 2/59 [00:07<03:27,  3.65s/it]
    141.       1/99     6.35G   0.08526   0.09853         0       596       640:   3%|▎         | 2/59 [00:10<03:27,  3.65s/it]
    142.       1/99     6.35G   0.08526   0.09853         0       596       640:   5%|▌         | 3/59 [00:10<03:20,  3.58s/it]
    143.       1/99     6.35G   0.08491   0.09569         0       511       640:   5%|▌         | 3/59 [00:14<03:20,  3.58s/it]
    144.       1/99     6.35G   0.08491   0.09569         0       511       640:   7%|▋         | 4/59 [00:14<03:11,  3.48s/it]
    145.       1/99     6.35G   0.08466   0.09637         0       581       640:   7%|▋         | 4/59 [00:17<03:11,  3.48s/it]
    146.       1/99     6.35G   0.08466   0.09637         0       581       640:   8%|▊         | 5/59 [00:17<03:04,  3.42s/it]
    147.       1/99     6.35G   0.08471   0.09602         0       556       640:   8%|▊         | 5/59 [00:20<03:04,  3.42s/it]
    148.       1/99     6.35G   0.08471   0.09602         0       556       640:  10%|█         | 6/59 [00:20<02:58,  3.37s/it]
    149.       1/99     6.35G   0.08454   0.09583         0       533       640:  10%|█         | 6/59 [00:24<02:58,  3.37s/it]
    150.       1/99     6.35G   0.08454   0.09583         0       533       640:  12%|█▏        | 7/59 [00:24<02:54,  3.36s/it]
    151.       1/99     6.35G   0.08531   0.09746         0       717       640:  12%|█▏        | 7/59 [00:27<02:54,  3.36s/it]
    152.       1/99     6.35G   0.08531   0.09746         0       717       640:  14%|█▎        | 8/59 [00:27<02:54,  3.43s/it]
    153.       1/99     6.35G   0.08575   0.09843         0       679       640:  14%|█▎        | 8/59 [00:31<02:54,  3.43s/it]
    154.       1/99     6.35G   0.08575   0.09843         0       679       640:  15%|█▌        | 9/59 [00:31<02:55,  3.52s/it]
    155.       1/99     6.35G   0.08565   0.09742         0       526       640:  15%|█▌        | 9/59 [00:34<02:55,  3.52s/it]
    156.       1/99     6.35G   0.08565   0.09742         0       526       640:  17%|█▋        | 10/59 [00:34<02:51,  3.49s/it]
    157.       1/99     6.35G   0.08555   0.09815         0       670       640:  17%|█▋        | 10/59 [00:38<02:51,  3.49s/it]
    158.       1/99     6.35G   0.08555   0.09815         0       670       640:  19%|█▊        | 11/59 [00:38<02:44,  3.43s/it]
    159.       1/99     6.35G   0.08521   0.09721         0       519       640:  19%|█▊        | 11/59 [00:41<02:44,  3.43s/it]
    160.       1/99     6.35G   0.08521   0.09721         0       519       640:  20%|██        | 12/59 [00:41<02:39,  3.40s/it]
    161.       1/99     6.35G   0.08517   0.09802         0       659       640:  20%|██        | 12/59 [00:44<02:39,  3.40s/it]
    162.       1/99     6.35G   0.08517   0.09802         0       659       640:  22%|██▏       | 13/59 [00:44<02:35,  3.37s/it]
    163.       1/99     6.35G   0.08511   0.09739         0       530       640:  22%|██▏       | 13/59 [00:47<02:35,  3.37s/it]
    164.       1/99     6.35G   0.08511   0.09739         0       530       640:  24%|██▎       | 14/59 [00:47<02:30,  3.34s/it]
    165.       1/99     6.35G   0.08502     0.097         0       529       640:  24%|██▎       | 14/59 [00:51<02:30,  3.34s/it]
    166.       1/99     6.35G   0.08502     0.097         0       529       640:  25%|██▌       | 15/59 [00:51<02:29,  3.40s/it]
    167.       1/99     6.35G   0.08489    0.0973         0       598       640:  25%|██▌       | 15/59 [00:54<02:29,  3.40s/it]
    168.       1/99     6.35G   0.08489    0.0973         0       598       640:  27%|██▋       | 16/59 [00:54<02:25,  3.38s/it]
    169.       1/99     6.35G    0.0847    0.0974         0       617       640:  27%|██▋       | 16/59 [00:58<02:25,  3.38s/it]
    170.       1/99     6.35G    0.0847    0.0974         0       617       640:  29%|██▉       | 17/59 [00:58<02:23,  3.43s/it]
    171.       1/99     6.35G   0.08468   0.09795         0       681       640:  29%|██▉       | 17/59 [01:01<02:23,  3.43s/it]
    172.       1/99     6.35G   0.08468   0.09795         0       681       640:  31%|███       | 18/59 [01:01<02:19,  3.40s/it]
    173.       1/99     6.35G   0.08477   0.09799         0       644       640:  31%|███       | 18/59 [01:04<02:19,  3.40s/it]
    174.       1/99     6.35G   0.08477   0.09799         0       644       640:  32%|███▏      | 19/59 [01:04<02:14,  3.37s/it]
    175.       1/99     6.35G   0.08452   0.09806         0       592       640:  32%|███▏      | 19/59 [01:08<02:14,  3.37s/it]
    176.       1/99     6.35G   0.08452   0.09806         0       592       640:  34%|███▍      | 20/59 [01:08<02:10,  3.34s/it]
    177.       1/99     6.35G   0.08447   0.09869         0       737       640:  34%|███▍      | 20/59 [01:11<02:10,  3.34s/it]
    178.       1/99     6.35G   0.08447   0.09869         0       737       640:  36%|███▌      | 21/59 [01:11<02:07,  3.34s/it]
    179.       1/99     6.35G   0.08448   0.09933         0       671       640:  36%|███▌      | 21/59 [01:15<02:07,  3.34s/it]
    180.       1/99     6.35G   0.08448   0.09933         0       671       640:  37%|███▋      | 22/59 [01:15<02:06,  3.41s/it]
    181.       1/99     6.35G   0.08434   0.09853         0       439       640:  37%|███▋      | 22/59 [01:18<02:06,  3.41s/it]
    182.       1/99     6.35G   0.08434   0.09853         0       439       640:  39%|███▉      | 23/59 [01:18<02:05,  3.50s/it]
    183.       1/99     6.35G   0.08424    0.0987         0       676       640:  39%|███▉      | 23/59 [01:22<02:05,  3.50s/it]
    184.       1/99     6.35G   0.08424    0.0987         0       676       640:  41%|████      | 24/59 [01:22<02:02,  3.50s/it]
    185.       1/99     6.35G   0.08414   0.09902         0       636       640:  41%|████      | 24/59 [01:25<02:02,  3.50s/it]
    186.       1/99     6.35G   0.08414   0.09902         0       636       640:  42%|████▏     | 25/59 [01:25<01:56,  3.44s/it]
    187.       1/99     6.35G   0.08395   0.09865         0       512       640:  42%|████▏     | 25/59 [01:28<01:56,  3.44s/it]
    188.       1/99     6.35G   0.08395   0.09865         0       512       640:  44%|████▍     | 26/59 [01:28<01:51,  3.38s/it]
    189.       1/99     6.35G   0.08416   0.09865         0       664       640:  44%|████▍     | 26/59 [01:32<01:51,  3.38s/it]
    190.       1/99     6.35G   0.08416   0.09865         0       664       640:  46%|████▌     | 27/59 [01:32<01:47,  3.36s/it]
    191.       1/99     6.35G    0.0841   0.09871         0       606       640:  46%|████▌     | 27/59 [01:35<01:47,  3.36s/it]
    192.       1/99     6.35G    0.0841   0.09871         0       606       640:  47%|████▋     | 28/59 [01:35<01:43,  3.34s/it]
    193.       1/99     6.35G   0.08396   0.09895         0       608       640:  47%|████▋     | 28/59 [01:39<01:43,  3.34s/it]
    194.       1/99     6.35G   0.08396   0.09895         0       608       640:  49%|████▉     | 29/59 [01:39<01:41,  3.39s/it]
    195.       1/99     6.35G   0.08398   0.09889         0       656       640:  49%|████▉     | 29/59 [01:42<01:41,  3.39s/it]
    196.       1/99     6.35G   0.08398   0.09889         0       656       640:  51%|█████     | 30/59 [01:42<01:41,  3.48s/it]
    197.       1/99     6.35G   0.08399   0.09891         0       631       640:  51%|█████     | 30/59 [01:46<01:41,  3.48s/it]
    198.       1/99     6.35G   0.08399   0.09891         0       631       640:  53%|█████▎    | 31/59 [01:46<01:37,  3.47s/it]
    199.       1/99     6.35G   0.08395    0.0986         0       496       640:  53%|█████▎    | 31/59 [01:49<01:37,  3.47s/it]
    200.       1/99     6.35G   0.08395    0.0986         0       496       640:  54%|█████▍    | 32/59 [01:49<01:32,  3.42s/it]
    201.       1/99     6.35G   0.08461   0.09843         0       780       640:  54%|█████▍    | 32/59 [01:52<01:32,  3.42s/it]
    202.       1/99     6.35G   0.08461   0.09843         0       780       640:  56%|█████▌    | 33/59 [01:52<01:28,  3.39s/it]
    203.       1/99     6.35G   0.08516   0.09805         0       686       640:  56%|█████▌    | 33/59 [01:56<01:28,  3.39s/it]
    204.       1/99     6.35G   0.08516   0.09805         0       686       640:  58%|█████▊    | 34/59 [01:56<01:23,  3.35s/it]
    205.       1/99     6.35G   0.08573   0.09772         0       710       640:  58%|█████▊    | 34/59 [01:59<01:23,  3.35s/it]
    206.       1/99     6.35G   0.08573   0.09772         0       710       640:  59%|█████▉    | 35/59 [01:59<01:20,  3.34s/it]
    207.       1/99     6.35G   0.08624    0.0974         0       668       640:  59%|█████▉    | 35/59 [02:02<01:20,  3.34s/it]
    208.       1/99     6.35G   0.08624    0.0974         0       668       640:  61%|██████    | 36/59 [02:02<01:18,  3.40s/it]
    209.       1/99     6.35G   0.08656    0.0973         0       701       640:  61%|██████    | 36/59 [02:06<01:18,  3.40s/it]
    210.       1/99     6.35G   0.08656    0.0973         0       701       640:  63%|██████▎   | 37/59 [02:06<01:16,  3.50s/it]
    211.       1/99     6.35G   0.08677   0.09703         0       619       640:  63%|██████▎   | 37/59 [02:10<01:16,  3.50s/it]
    212.       1/99     6.35G   0.08677   0.09703         0       619       640:  64%|██████▍   | 38/59 [02:10<01:13,  3.48s/it]
    213.       1/99     6.35G   0.08706   0.09693         0       644       640:  64%|██████▍   | 38/59 [02:13<01:13,  3.48s/it]
    214.       1/99     6.35G   0.08706   0.09693         0       644       640:  66%|██████▌   | 39/59 [02:13<01:08,  3.43s/it]
    215.       1/99     6.35G   0.08727   0.09694         0       612       640:  66%|██████▌   | 39/59 [02:16<01:08,  3.43s/it]
    216.       1/99     6.35G   0.08727   0.09694         0       612       640:  68%|██████▊   | 40/59 [02:16<01:04,  3.39s/it]
    217.       1/99     6.35G   0.08724   0.09691         0       534       640:  68%|██████▊   | 40/59 [02:19<01:04,  3.39s/it]
    218.       1/99     6.35G   0.08724   0.09691         0       534       640:  69%|██████▉   | 41/59 [02:19<01:00,  3.35s/it]
    219.       1/99     6.35G   0.08719   0.09647         0       423       640:  69%|██████▉   | 41/59 [02:23<01:00,  3.35s/it]
    220.       1/99     6.35G   0.08719   0.09647         0       423       640:  71%|███████   | 42/59 [02:23<00:56,  3.34s/it]
    221.       1/99     6.35G   0.08732   0.09693         0       876       640:  71%|███████   | 42/59 [02:26<00:56,  3.34s/it]
    222.       1/99     6.35G   0.08732   0.09693         0       876       640:  73%|███████▎  | 43/59 [02:26<00:53,  3.37s/it]
    223.       1/99     6.35G   0.08741   0.09662         0       531       640:  73%|███████▎  | 43/59 [02:30<00:53,  3.37s/it]
    224.       1/99     6.35G   0.08741   0.09662         0       531       640:  75%|███████▍  | 44/59 [02:30<00:53,  3.59s/it]
    225.       1/99     6.35G    0.0875   0.09647         0       597       640:  75%|███████▍  | 44/59 [02:34<00:53,  3.59s/it]
    226.       1/99     6.35G    0.0875   0.09647         0       597       640:  76%|███████▋  | 45/59 [02:34<00:49,  3.56s/it]
    227.       1/99     6.35G   0.08761   0.09656         0       705       640:  76%|███████▋  | 45/59 [02:37<00:49,  3.56s/it]
    228.       1/99     6.35G   0.08761   0.09656         0       705       640:  78%|███████▊  | 46/59 [02:37<00:45,  3.48s/it]
    229.       1/99     6.35G    0.0876   0.09647         0       608       640:  78%|███████▊  | 46/59 [02:40<00:45,  3.48s/it]
    230.       1/99     6.35G    0.0876   0.09647         0       608       640:  80%|███████▉  | 47/59 [02:40<00:41,  3.42s/it]
    231.       1/99     6.35G   0.08763   0.09649         0       665       640:  80%|███████▉  | 47/59 [02:44<00:41,  3.42s/it]
    232.       1/99     6.35G   0.08763   0.09649         0       665       640:  81%|████████▏ | 48/59 [02:44<00:37,  3.39s/it]
    233.       1/99     6.35G   0.08768   0.09669         0       729       640:  81%|████████▏ | 48/59 [02:47<00:37,  3.39s/it]
    234.       1/99     6.35G   0.08768   0.09669         0       729       640:  83%|████████▎ | 49/59 [02:47<00:33,  3.35s/it]
    235.       1/99     6.35G   0.08772   0.09687         0       695       640:  83%|████████▎ | 49/59 [02:50<00:33,  3.35s/it]
    236.       1/99     6.35G   0.08772   0.09687         0       695       640:  85%|████████▍ | 50/59 [02:50<00:30,  3.38s/it]
    237.       1/99     6.35G   0.08773   0.09671         0       549       640:  85%|████████▍ | 50/59 [02:54<00:30,  3.38s/it]
    238.       1/99     6.35G   0.08773   0.09671         0       549       640:  86%|████████▋ | 51/59 [02:54<00:27,  3.47s/it]
    239.       1/99     6.35G   0.08776   0.09689         0       710       640:  86%|████████▋ | 51/59 [02:58<00:27,  3.47s/it]
    240.       1/99     6.35G   0.08776   0.09689         0       710       640:  88%|████████▊ | 52/59 [02:58<00:24,  3.50s/it]
    241.       1/99     6.35G   0.08775   0.09695         0       630       640:  88%|████████▊ | 52/59 [03:01<00:24,  3.50s/it]
    242.       1/99     6.35G   0.08775   0.09695         0       630       640:  90%|████████▉ | 53/59 [03:01<00:20,  3.43s/it]
    243.       1/99     6.35G   0.08779   0.09712         0       693       640:  90%|████████▉ | 53/59 [03:04<00:20,  3.43s/it]
    244.       1/99     6.35G   0.08779   0.09712         0       693       640:  92%|█████████▏| 54/59 [03:04<00:16,  3.39s/it]
    245.       1/99     6.35G   0.08769   0.09716         0       585       640:  92%|█████████▏| 54/59 [03:08<00:16,  3.39s/it]
    246.       1/99     6.35G   0.08769   0.09716         0       585       640:  93%|█████████▎| 55/59 [03:08<00:13,  3.36s/it]
    247.       1/99     6.35G   0.08763   0.09685         0       515       640:  93%|█████████▎| 55/59 [03:11<00:13,  3.36s/it]
    248.       1/99     6.35G   0.08763   0.09685         0       515       640:  95%|█████████▍| 56/59 [03:11<00:10,  3.34s/it]
    249.       1/99     6.35G   0.08765   0.09699         0       705       640:  95%|█████████▍| 56/59 [03:14<00:10,  3.34s/it]
    250.       1/99     6.35G   0.08765   0.09699         0       705       640:  97%|█████████▋| 57/59 [03:14<00:06,  3.36s/it]
    251.       1/99     6.35G   0.08765   0.09736         0       726       640:  97%|█████████▋| 57/59 [03:18<00:06,  3.36s/it]
    252.       1/99     6.35G   0.08765   0.09736         0       726       640:  98%|█████████▊| 58/59 [03:18<00:03,  3.47s/it]
    253.       1/99     6.37G   0.08766   0.09725         0        91       640:  98%|█████████▊| 58/59 [03:18<00:03,  3.47s/it]
    254.       1/99     6.37G   0.08766   0.09725         0        91       640: 100%|██████████| 59/59 [03:18<00:00,  2.58s/it]
    255.       1/99     6.37G   0.08766   0.09725         0        91       640: 100%|██████████| 59/59 [03:18<00:00,  3.37s/it]
    256.  
    257.                Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95:   0%|          | 0/4 [00:00
    258.                Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95:  25%|██▌       | 1/4 [00:02<00:07,  2.44s/it]
    259.                Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95:  50%|█████     | 2/4 [00:05<00:05,  2.62s/it]
    260.                Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95:  75%|███████▌  | 3/4 [00:07<00:02,  2.53s/it]
    261.                Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100%|██████████| 4/4 [00:08<00:00,  1.90s/it]
    262.                Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100%|██████████| 4/4 [00:08<00:00,  2.14s/it]
    263.                  all        207       3407       0.12      0.382     0.0979     0.0192

    训练过程中，结果会自动创建目录存储在runs下，如下所示：

    yolov5s-bifpn模型结果：

     yolov5s模型结果：

     随机选取样例图像测试如下：

     为了便于后续使用结果数据，这里对其结果数据进行解析存储如下：

    1. {
    2. 	"crack": [
    3. 		[
    4. 			0.26700732111930849,
    5. 			[
    6. 				0,
    7. 				296,
    8. 				23,
    9. 				392
    10. 			]
    11. 		],
    12. 		[
    13. 			0.2672766149044037,
    14. 			[
    15. 				686,
    16. 				648,
    17. 				767,
    18. 				689
    19. 			]
    20. 		],
    21. 		[
    22. 			0.2740951180458069,
    23. 			[
    24. 				1,
    25. 				393,
    26. 				26,
    27. 				498
    28. 			]
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    30. 		[
    31. 			0.27556174993515017,
    32. 			[
    33. 				631,
    34. 				634,
    35. 				722,
    36. 				671
    37. 			]
    38. 		],
    39. 		[
    40. 			0.27758586406707766,
    41. 			[
    42. 				582,
    43. 				247,
    44. 				630,
    45. 				295
    46. 			]
    47. 		],
    48. 		[
    49. 			0.2786214053630829,
    50. 			[
    51. 				801,
    52. 				711,
    53. 				869,
    54. 				753
    55. 			]
    56. 		],
    57. 		[
    58. 			0.28326842188835146,
    59. 			[
    60. 				911,
    61. 				761,
    62. 				966,
    63. 				819
    64. 			]
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    66. 		[
    67. 			0.2855015993118286,
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    69. 				726,
    70. 				61,
    71. 				765,
    72. 				126
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    75. 		[
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    89. 				932,
    90. 				780
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    93. 		[
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    97. 				8,
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    102. 		[
    103. 			0.2912375032901764,
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    105. 				986,
    106. 				860,
    107. 				1020,
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    111. 		[
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    114. 				619,
    115. 				205,
    116. 				663,
    117. 				261
    118. 			]
    119. 		],
    120. 		[
    121. 			0.29819419980049136,
    122. 			[
    123. 				666,
    124. 				641,
    125. 				740,
    126. 				677
    127. 			]
    128. 		],
    129. 		[
    130. 			0.30100756883621218,
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    132. 				1005,
    133. 				903,
    134. 				1024,
    135. 				951
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    138. 		[
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    140. 			[
    141. 				548,
    142. 				281,
    143. 				588,
    144. 				338
    145. 			]
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    147. 		[
    148. 			0.30483242869377139,
    149. 			[
    150. 				1,
    151. 				342,
    152. 				26,
    153. 				450
    154. 			]
    155. 		],
    156. 		[
    157. 			0.3290395140647888,
    158. 			[
    159. 				820,
    160. 				720,
    161. 				890,
    162. 				763
    163. 			]
    164. 		],
    165. 		[
    166. 			0.3302559554576874,
    167. 			[
    168. 				652,
    169. 				165,
    170. 				695,
    171. 				221
    172. 			]
    173. 		],
    174. 		[
    175. 			0.3334021270275116,
    176. 			[
    177. 				0,
    178. 				693,
    179. 				35,
    180. 				736
    181. 			]
    182. 		],
    183. 		[
    184. 			0.33690938353538515,
    185. 			[
    186. 				605,
    187. 				222,
    188. 				650,
    189. 				275
    190. 			]
    191. 		],
    192. 		[
    193. 			0.34495481848716738,
    194. 			[
    195. 				0,
    196. 				533,
    197. 				27,
    198. 				615
    199. 			]
    200. 		],
    201. 		[
    202. 			0.37444597482681277,
    203. 			[
    204. 				963,
    205. 				713,
    206. 				1018,
    207. 				755
    208. 			]
    209. 		],
    210. 		[
    211. 			0.37496164441108706,
    212. 			[
    213. 				686,
    214. 				121,
    215. 				735,
    216. 				176
    217. 			]
    218. 		],
    219. 		[
    220. 			0.3889273703098297,
    221. 			[
    222. 				358,
    223. 				590,
    224. 				432,
    225. 				633
    226. 			]
    227. 		],
    228. 		[
    229. 			0.40112408995628359,
    230. 			[
    231. 				5,
    232. 				612,
    233. 				38,
    234. 				693
    235. 			]
    236. 		],
    237. 		[
    238. 			0.40698984265327456,
    239. 			[
    240. 				593,
    241. 				235,
    242. 				640,
    243. 				287
    244. 			]
    245. 		],
    246. 		[
    247. 			0.41528889536857607,
    248. 			[
    249. 				633,
    250. 				185,
    251. 				677,
    252. 				244
    253. 			]
    254. 		],
    255. 		[
    256. 			0.4153532385826111,
    257. 			[
    258. 				446,
    259. 				474,
    260. 				492,
    261. 				534
    262. 			]
    263. 		],
    264. 		[
    265. 			0.41710415482521059,
    266. 			[
    267. 				996,
    268. 				879,
    269. 				1024,
    270. 				942
    271. 			]
    272. 		],
    273. 		[
    274. 			0.42140141129493716,
    275. 			[
    276. 				762,
    277. 				0,
    278. 				792,
    279. 				47
    280. 			]
    281. 		],
    282. 		[
    283. 			0.42363840341567995,
    284. 			[
    285. 				675,
    286. 				137,
    287. 				724,
    288. 				187
    289. 			]
    290. 		],
    291. 		[
    292. 			0.42380252480506899,
    293. 			[
    294. 				422,
    295. 				583,
    296. 				483,
    297. 				635
    298. 			]
    299. 		],
    300. 		[
    301. 			0.43151307106018069,
    302. 			[
    303. 				709,
    304. 				93,
    305. 				750,
    306. 				155
    307. 			]
    308. 		],
    309. 		[
    310. 			0.4327857792377472,
    311. 			[
    312. 				844,
    313. 				734,
    314. 				915,
    315. 				775
    316. 			]
    317. 		],
    318. 		[
    319. 			0.4366927146911621,
    320. 			[
    321. 				555,
    322. 				272,
    323. 				604,
    324. 				315
    325. 			]
    326. 		],
    327. 		[
    328. 			0.4374251663684845,
    329. 			[
    330. 				233,
    331. 				649,
    332. 				297,
    333. 				688
    334. 			]
    335. 		],
    336. 		[
    337. 			0.44089221954345705,
    338. 			[
    339. 				714,
    340. 				657,
    341. 				784,
    342. 				701
    343. 			]
    344. 		],
    345. 		[
    346. 			0.448123574256897,
    347. 			[
    348. 				739,
    349. 				37,
    350. 				774,
    351. 				107
    352. 			]
    353. 		],
    354. 		[
    355. 			0.4551221430301666,
    356. 			[
    357. 				161,
    358. 				641,
    359. 				238,
    360. 				690
    361. 			]
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    363. 		[
    364. 			0.45720604062080386,
    365. 			[
    366. 				769,
    367. 				688,
    368. 				830,
    369. 				736
    370. 			]
    371. 		],
    372. 		[
    373. 			0.4593600630760193,
    374. 			[
    375. 				963,
    376. 				839,
    377. 				1007,
    378. 				886
    379. 			]
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    381. 		[
    382. 			0.48793330788612368,
    383. 			[
    384. 				607,
    385. 				626,
    386. 				690,
    387. 				664
    388. 			]
    389. 		],
    390. 		[
    391. 			0.4884047508239746,
    392. 			[
    393. 				925,
    394. 				772,
    395. 				979,
    396. 				835
    397. 			]
    398. 		],
    399. 		[
    400. 			0.5071386694908142,
    401. 			[
    402. 				222,
    403. 				597,
    404. 				306,
    405. 				647
    406. 			]
    407. 		],
    408. 		[
    409. 			0.5111898183822632,
    410. 			[
    411. 				473,
    412. 				431,
    413. 				514,
    414. 				497
    415. 			]
    416. 		],
    417. 		[
    418. 			0.5346865057945252,
    419. 			[
    420. 				105,
    421. 				662,
    422. 				182,
    423. 				713
    424. 			]
    425. 		],
    426. 		[
    427. 			0.5522925853729248,
    428. 			[
    429. 				540,
    430. 				303,
    431. 				569,
    432. 				378
    433. 			]
    434. 		],
    435. 		[
    436. 			0.5579397082328796,
    437. 			[
    438. 				506,
    439. 				367,
    440. 				552,
    441. 				432
    442. 			]
    443. 		],
    444. 		[
    445. 			0.5627263784408569,
    446. 			[
    447. 				295,
    448. 				580,
    449. 				388,
    450. 				633
    451. 			]
    452. 		],
    453. 		[
    454. 			0.5672629475593567,
    455. 			[
    456. 				475,
    457. 				617,
    458. 				569,
    459. 				653
    460. 			]
    461. 		],
    462. 		[
    463. 			0.574158251285553,
    464. 			[
    465. 				24,
    466. 				693,
    467. 				108,
    468. 				731
    469. 			]
    470. 		],
    471. 		[
    472. 			0.5847405791282654,
    473. 			[
    474. 				426,
    475. 				526,
    476. 				461,
    477. 				594
    478. 			]
    479. 		]
    480. 	]
    481. }

    与我之前的文章中的结果格式保持一致。

     

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  • 原文地址：https://blog.csdn.net/Together_CZ/article/details/127735859