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.gif | app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.py | APP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.onnx | yolov5s原生模型 |
yolov5s.pt | yolov5s原生模型 |
yolov5s-bifpn.onnx | yolov5s-bifpn模型 |
yolov5s-bifpn.pt | yolov5s-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:
Starting training for 100 epochs...
Epoch gpu_mem box obj cls labels img_size
0%| | 0/59 [00:00<?, ?it/s]
0/99 6.29G 0.122 0.0985 0 611 640: 0%| | 0/59 [00:03<?, ?it/s]
0/99 6.29G 0.122 0.0985 0 611 640: 2%|▏ | 1/59 [00:05<05:28, 5.67s/it]
0/99 6.35G 0.1225 0.1005 0 699 640: 2%|▏ | 1/59 [00:09<05:28, 5.67s/it]
0/99 6.35G 0.1225 0.1005 0 699 640: 3%|▎ | 2/59 [00:09<04:08, 4.36s/it]
0/99 6.35G 0.1221 0.1014 0 655 640: 3%|▎ | 2/59 [00:12<04:08, 4.36s/it]
0/99 6.35G 0.1221 0.1014 0 655 640: 5%|▌ | 3/59 [00:12<03:39, 3.92s/it]
0/99 6.35G 0.1219 0.1022 0 671 640: 5%|▌ | 3/59 [00:15<03:39, 3.92s/it]
0/99 6.35G 0.1219 0.1022 0 671 640: 7%|▋ | 4/59 [00:15<03:24, 3.72s/it]
0/99 6.35G 0.1216 0.1006 0 573 640: 7%|▋ | 4/59 [00:19<03:24, 3.72s/it]
0/99 6.35G 0.1216 0.1006 0 573 640: 8%|▊ | 5/59 [00:19<03:18, 3.68s/it]
0/99 6.35G 0.1216 0.1013 0 676 640: 8%|▊ | 5/59 [00:23<03:18, 3.68s/it]
0/99 6.35G 0.1216 0.1013 0 676 640: 10%|█ | 6/59 [00:23<03:15, 3.69s/it]
0/99 6.35G 0.1215 0.1015 0 688 640: 10%|█ | 6/59 [00:26<03:15, 3.69s/it]
0/99 6.35G 0.1215 0.1015 0 688 640: 12%|█▏ | 7/59 [00:26<03:07, 3.61s/it]
0/99 6.35G 0.1213 0.1026 0 710 640: 12%|█▏ | 7/59 [00:29<03:07, 3.61s/it]
0/99 6.35G 0.1213 0.1026 0 710 640: 14%|█▎ | 8/59 [00:29<02:59, 3.51s/it]
0/99 6.35G 0.121 0.1038 0 701 640: 14%|█▎ | 8/59 [00:33<02:59, 3.51s/it]
0/99 6.35G 0.121 0.1038 0 701 640: 15%|█▌ | 9/59 [00:33<02:52, 3.45s/it]
0/99 6.35G 0.1208 0.1039 0 624 640: 15%|█▌ | 9/59 [00:36<02:52, 3.45s/it]
0/99 6.35G 0.1208 0.1039 0 624 640: 17%|█▋ | 10/59 [00:36<02:46, 3.40s/it]
0/99 6.35G 0.1207 0.1047 0 812 640: 17%|█▋ | 10/59 [00:40<02:46, 3.40s/it]
0/99 6.35G 0.1207 0.1047 0 812 640: 19%|█▊ | 11/59 [00:40<02:45, 3.44s/it]
0/99 6.35G 0.1203 0.1041 0 537 640: 19%|█▊ | 11/59 [00:43<02:45, 3.44s/it]
0/99 6.35G 0.1203 0.1041 0 537 640: 20%|██ | 12/59 [00:43<02:41, 3.44s/it]
0/99 6.35G 0.1197 0.1042 0 537 640: 20%|██ | 12/59 [00:46<02:41, 3.44s/it]
0/99 6.35G 0.1197 0.1042 0 537 640: 22%|██▏ | 13/59 [00:46<02:36, 3.41s/it]
0/99 6.35G 0.1193 0.1054 0 650 640: 22%|██▏ | 13/59 [00:50<02:36, 3.41s/it]
0/99 6.35G 0.1193 0.1054 0 650 640: 24%|██▎ | 14/59 [00:50<02:32, 3.38s/it]
0/99 6.35G 0.1189 0.105 0 549 640: 24%|██▎ | 14/59 [00:53<02:32, 3.38s/it]
0/99 6.35G 0.1189 0.105 0 549 640: 25%|██▌ | 15/59 [00:53<02:31, 3.44s/it]
0/99 6.35G 0.1189 0.1053 0 767 640: 25%|██▌ | 15/59 [00:57<02:31, 3.44s/it]
0/99 6.35G 0.1189 0.1053 0 767 640: 27%|██▋ | 16/59 [00:57<02:30, 3.51s/it]
0/99 6.35G 0.1185 0.1055 0 634 640: 27%|██▋ | 16/59 [01:00<02:30, 3.51s/it]
0/99 6.35G 0.1185 0.1055 0 634 640: 29%|██▉ | 17/59 [01:00<02:26, 3.48s/it]
0/99 6.35G 0.1181 0.1054 0 597 640: 29%|██▉ | 17/59 [01:04<02:26, 3.48s/it]
0/99 6.35G 0.1181 0.1054 0 597 640: 31%|███ | 18/59 [01:04<02:20, 3.43s/it]
0/99 6.35G 0.1179 0.1065 0 794 640: 31%|███ | 18/59 [01:07<02:20, 3.43s/it]
0/99 6.35G 0.1179 0.1065 0 794 640: 32%|███▏ | 19/59 [01:07<02:16, 3.40s/it]
0/99 6.35G 0.1175 0.1059 0 545 640: 32%|███▏ | 19/59 [01:10<02:16, 3.40s/it]
0/99 6.35G 0.1175 0.1059 0 545 640: 34%|███▍ | 20/59 [01:10<02:11, 3.38s/it]
0/99 6.35G 0.1171 0.1052 0 522 640: 34%|███▍ | 20/59 [01:14<02:11, 3.38s/it]
0/99 6.35G 0.1171 0.1052 0 522 640: 36%|███▌ | 21/59 [01:14<02:07, 3.35s/it]
0/99 6.35G 0.1167 0.1047 0 505 640: 36%|███▌ | 21/59 [01:17<02:07, 3.35s/it]
0/99 6.35G 0.1167 0.1047 0 505 640: 37%|███▋ | 22/59 [01:17<02:05, 3.38s/it]
0/99 6.35G 0.1164 0.1052 0 697 640: 37%|███▋ | 22/59 [01:21<02:05, 3.38s/it]
0/99 6.35G 0.1164 0.1052 0 697 640: 39%|███▉ | 23/59 [01:21<02:04, 3.47s/it]
0/99 6.35G 0.1161 0.1057 0 765 640: 39%|███▉ | 23/59 [01:24<02:04, 3.47s/it]
0/99 6.35G 0.1161 0.1057 0 765 640: 41%|████ | 24/59 [01:24<02:02, 3.50s/it]
0/99 6.35G 0.1158 0.1062 0 722 640: 41%|████ | 24/59 [01:28<02:02, 3.50s/it]
0/99 6.35G 0.1158 0.1062 0 722 640: 42%|████▏ | 25/59 [01:28<01:56, 3.43s/it]
0/99 6.35G 0.1155 0.1062 0 653 640: 42%|████▏ | 25/59 [01:31<01:56, 3.43s/it]
0/99 6.35G 0.1155 0.1062 0 653 640: 44%|████▍ | 26/59 [01:31<01:52, 3.40s/it]
0/99 6.35G 0.1152 0.1061 0 693 640: 44%|████▍ | 26/59 [01:34<01:52, 3.40s/it]
0/99 6.35G 0.1152 0.1061 0 693 640: 46%|████▌ | 27/59 [01:34<01:47, 3.37s/it]
0/99 6.35G 0.1149 0.1056 0 629 640: 46%|████▌ | 27/59 [01:38<01:47, 3.37s/it]
0/99 6.35G 0.1149 0.1056 0 629 640: 47%|████▋ | 28/59 [01:38<01:43, 3.35s/it]
0/99 6.35G 0.1146 0.105 0 603 640: 47%|████▋ | 28/59 [01:41<01:43, 3.35s/it]
0/99 6.35G 0.1146 0.105 0 603 640: 49%|████▉ | 29/59 [01:41<01:40, 3.35s/it]
0/99 6.35G 0.1141 0.1045 0 521 640: 49%|████▉ | 29/59 [01:44<01:40, 3.35s/it]
0/99 6.35G 0.1141 0.1045 0 521 640: 51%|█████ | 30/59 [01:44<01:39, 3.42s/it]
0/99 6.35G 0.1138 0.1047 0 748 640: 51%|█████ | 30/59 [01:49<01:39, 3.42s/it]
0/99 6.35G 0.1138 0.1047 0 748 640: 53%|█████▎ | 31/59 [01:49<01:40, 3.60s/it]
0/99 6.35G 0.1134 0.1044 0 581 640: 53%|█████▎ | 31/59 [01:52<01:40, 3.60s/it]
0/99 6.35G 0.1134 0.1044 0 581 640: 54%|█████▍ | 32/59 [01:52<01:34, 3.51s/it]
0/99 6.35G 0.113 0.1041 0 579 640: 54%|█████▍ | 32/59 [01:55<01:34, 3.51s/it]
0/99 6.35G 0.113 0.1041 0 579 640: 56%|█████▌ | 33/59 [01:55<01:29, 3.44s/it]
0/99 6.35G 0.1126 0.1042 0 720 640: 56%|█████▌ | 33/59 [01:58<01:29, 3.44s/it]
0/99 6.35G 0.1126 0.1042 0 720 640: 58%|█████▊ | 34/59 [01:58<01:24, 3.39s/it]
0/99 6.35G 0.1122 0.1039 0 603 640: 58%|█████▊ | 34/59 [02:02<01:24, 3.39s/it]
0/99 6.35G 0.1122 0.1039 0 603 640: 59%|█████▉ | 35/59 [02:02<01:20, 3.36s/it]
0/99 6.35G 0.1119 0.1037 0 702 640: 59%|█████▉ | 35/59 [02:05<01:20, 3.36s/it]
0/99 6.35G 0.1119 0.1037 0 702 640: 61%|██████ | 36/59 [02:05<01:18, 3.41s/it]
0/99 6.35G 0.1115 0.1036 0 616 640: 61%|██████ | 36/59 [02:09<01:18, 3.41s/it]
0/99 6.35G 0.1115 0.1036 0 616 640: 63%|██████▎ | 37/59 [02:09<01:16, 3.50s/it]
0/99 6.35G 0.1111 0.1034 0 655 640: 63%|██████▎ | 37/59 [02:12<01:16, 3.50s/it]
0/99 6.35G 0.1111 0.1034 0 655 640: 64%|██████▍ | 38/59 [02:12<01:13, 3.49s/it]
0/99 6.35G 0.1107 0.1036 0 728 640: 64%|██████▍ | 38/59 [02:16<01:13, 3.49s/it]
0/99 6.35G 0.1107 0.1036 0 728 640: 66%|██████▌ | 39/59 [02:16<01:08, 3.44s/it]
0/99 6.35G 0.1103 0.1038 0 801 640: 66%|██████▌ | 39/59 [02:19<01:08, 3.44s/it]
0/99 6.35G 0.1103 0.1038 0 801 640: 68%|██████▊ | 40/59 [02:19<01:04, 3.40s/it]
0/99 6.35G 0.11 0.1038 0 723 640: 68%|██████▊ | 40/59 [02:22<01:04, 3.40s/it]
0/99 6.35G 0.11 0.1038 0 723 640: 69%|██████▉ | 41/59 [02:22<01:00, 3.37s/it]
0/99 6.35G 0.1096 0.1034 0 555 640: 69%|██████▉ | 41/59 [02:26<01:00, 3.37s/it]
0/99 6.35G 0.1096 0.1034 0 555 640: 71%|███████ | 42/59 [02:26<00:57, 3.36s/it]
0/99 6.35G 0.1093 0.1034 0 642 640: 71%|███████ | 42/59 [02:29<00:57, 3.36s/it]
0/99 6.35G 0.1093 0.1034 0 642 640: 73%|███████▎ | 43/59 [02:29<00:54, 3.43s/it]
0/99 6.35G 0.1089 0.1032 0 632 640: 73%|███████▎ | 43/59 [02:33<00:54, 3.43s/it]
0/99 6.35G 0.1089 0.1032 0 632 640: 75%|███████▍ | 44/59 [02:33<00:52, 3.47s/it]
0/99 6.35G 0.1085 0.103 0 544 640: 75%|███████▍ | 44/59 [02:36<00:52, 3.47s/it]
0/99 6.35G 0.1085 0.103 0 544 640: 76%|███████▋ | 45/59 [02:36<00:47, 3.41s/it]
0/99 6.35G 0.1081 0.1025 0 485 640: 76%|███████▋ | 45/59 [02:39<00:47, 3.41s/it]
0/99 6.35G 0.1081 0.1025 0 485 640: 78%|███████▊ | 46/59 [02:39<00:43, 3.38s/it]
0/99 6.35G 0.1077 0.1023 0 600 640: 78%|███████▊ | 46/59 [02:43<00:43, 3.38s/it]
0/99 6.35G 0.1077 0.1023 0 600 640: 80%|███████▉ | 47/59 [02:43<00:40, 3.35s/it]
0/99 6.35G 0.1073 0.102 0 513 640: 80%|███████▉ | 47/59 [02:46<00:40, 3.35s/it]
0/99 6.35G 0.1073 0.102 0 513 640: 81%|████████▏ | 48/59 [02:46<00:36, 3.34s/it]
0/99 6.35G 0.1069 0.1019 0 522 640: 81%|████████▏ | 48/59 [02:49<00:36, 3.34s/it]
0/99 6.35G 0.1069 0.1019 0 522 640: 83%|████████▎ | 49/59 [02:49<00:33, 3.35s/it]
0/99 6.35G 0.1065 0.102 0 687 640: 83%|████████▎ | 49/59 [02:53<00:33, 3.35s/it]
0/99 6.35G 0.1065 0.102 0 687 640: 85%|████████▍ | 50/59 [02:53<00:30, 3.43s/it]
0/99 6.35G 0.1061 0.1018 0 541 640: 85%|████████▍ | 50/59 [02:57<00:30, 3.43s/it]
0/99 6.35G 0.1061 0.1018 0 541 640: 86%|████████▋ | 51/59 [02:57<00:28, 3.52s/it]
0/99 6.35G 0.1058 0.1017 0 615 640: 86%|████████▋ | 51/59 [03:00<00:28, 3.52s/it]
0/99 6.35G 0.1058 0.1017 0 615 640: 88%|████████▊ | 52/59 [03:00<00:24, 3.49s/it]
0/99 6.35G 0.1055 0.1018 0 781 640: 88%|████████▊ | 52/59 [03:03<00:24, 3.49s/it]
0/99 6.35G 0.1055 0.1018 0 781 640: 90%|████████▉ | 53/59 [03:03<00:20, 3.44s/it]
0/99 6.35G 0.1052 0.1017 0 586 640: 90%|████████▉ | 53/59 [03:07<00:20, 3.44s/it]
0/99 6.35G 0.1052 0.1017 0 586 640: 92%|█████████▏| 54/59 [03:07<00:16, 3.39s/it]
0/99 6.35G 0.1049 0.1016 0 575 640: 92%|█████████▏| 54/59 [03:10<00:16, 3.39s/it]
0/99 6.35G 0.1049 0.1016 0 575 640: 93%|█████████▎| 55/59 [03:10<00:13, 3.36s/it]
0/99 6.35G 0.1046 0.1019 0 715 640: 93%|█████████▎| 55/59 [03:13<00:13, 3.36s/it]
0/99 6.35G 0.1046 0.1019 0 715 640: 95%|█████████▍| 56/59 [03:13<00:10, 3.36s/it]
0/99 6.35G 0.1042 0.1019 0 618 640: 95%|█████████▍| 56/59 [03:17<00:10, 3.36s/it]
0/99 6.35G 0.1042 0.1019 0 618 640: 97%|█████████▋| 57/59 [03:17<00:06, 3.45s/it]
0/99 6.35G 0.1039 0.1017 0 544 640: 97%|█████████▋| 57/59 [03:21<00:06, 3.45s/it]
0/99 6.35G 0.1039 0.1017 0 544 640: 98%|█████████▊| 58/59 [03:21<00:03, 3.49s/it]
0/99 6.35G 0.1036 0.1016 0 96 640: 98%|█████████▊| 58/59 [03:21<00:03, 3.49s/it]
0/99 6.35G 0.1036 0.1016 0 96 640: 100%|██████████| 59/59 [03:21<00:00, 2.61s/it]
0/99 6.35G 0.1036 0.1016 0 96 640: 100%|██████████| 59/59 [03:21<00:00, 3.42s/it]
Class Images Labels P R mAP@.5 mAP@.5:.95: 0%| | 0/4 [00:00<?, ?it/s]
Class Images Labels P R mAP@.5 mAP@.5:.95: 25%|██▌ | 1/4 [00:02<00:07, 2.63s/it]
Class Images Labels P R mAP@.5 mAP@.5:.95: 50%|█████ | 2/4 [00:05<00:05, 2.75s/it]
Class Images Labels P R mAP@.5 mAP@.5:.95: 75%|███████▌ | 3/4 [00:07<00:02, 2.61s/it]
Class Images Labels P R mAP@.5 mAP@.5:.95: 100%|██████████| 4/4 [00:08<00:00, 1.95s/it]
Class Images Labels P R mAP@.5 mAP@.5:.95: 100%|██████████| 4/4 [00:08<00:00, 2.21s/it]
all 207 3407 0.115 0.277 0.0747 0.0141
Epoch gpu_mem box obj cls labels img_size
0%| | 0/59 [00:00<?, ?it/s]
1/99 6.35G 0.08355 0.09766 0 566 640: 0%| | 0/59 [00:03<?, ?it/s]
1/99 6.35G 0.08355 0.09766 0 566 640: 2%|▏ | 1/59 [00:03<03:26, 3.56s/it]
1/99 6.35G 0.08539 0.09904 0 652 640: 2%|▏ | 1/59 [00:07<03:26, 3.56s/it]
1/99 6.35G 0.08539 0.09904 0 652 640: 3%|▎ | 2/59 [00:07<03:27, 3.65s/it]
1/99 6.35G 0.08526 0.09853 0 596 640: 3%|▎ | 2/59 [00:10<03:27, 3.65s/it]
1/99 6.35G 0.08526 0.09853 0 596 640: 5%|▌ | 3/59 [00:10<03:20, 3.58s/it]
1/99 6.35G 0.08491 0.09569 0 511 640: 5%|▌ | 3/59 [00:14<03:20, 3.58s/it]
1/99 6.35G 0.08491 0.09569 0 511 640: 7%|▋ | 4/59 [00:14<03:11, 3.48s/it]
1/99 6.35G 0.08466 0.09637 0 581 640: 7%|▋ | 4/59 [00:17<03:11, 3.48s/it]
1/99 6.35G 0.08466 0.09637 0 581 640: 8%|▊ | 5/59 [00:17<03:04, 3.42s/it]
1/99 6.35G 0.08471 0.09602 0 556 640: 8%|▊ | 5/59 [00:20<03:04, 3.42s/it]
1/99 6.35G 0.08471 0.09602 0 556 640: 10%|█ | 6/59 [00:20<02:58, 3.37s/it]
1/99 6.35G 0.08454 0.09583 0 533 640: 10%|█ | 6/59 [00:24<02:58, 3.37s/it]
1/99 6.35G 0.08454 0.09583 0 533 640: 12%|█▏ | 7/59 [00:24<02:54, 3.36s/it]
1/99 6.35G 0.08531 0.09746 0 717 640: 12%|█▏ | 7/59 [00:27<02:54, 3.36s/it]
1/99 6.35G 0.08531 0.09746 0 717 640: 14%|█▎ | 8/59 [00:27<02:54, 3.43s/it]
1/99 6.35G 0.08575 0.09843 0 679 640: 14%|█▎ | 8/59 [00:31<02:54, 3.43s/it]
1/99 6.35G 0.08575 0.09843 0 679 640: 15%|█▌ | 9/59 [00:31<02:55, 3.52s/it]
1/99 6.35G 0.08565 0.09742 0 526 640: 15%|█▌ | 9/59 [00:34<02:55, 3.52s/it]
1/99 6.35G 0.08565 0.09742 0 526 640: 17%|█▋ | 10/59 [00:34<02:51, 3.49s/it]
1/99 6.35G 0.08555 0.09815 0 670 640: 17%|█▋ | 10/59 [00:38<02:51, 3.49s/it]
1/99 6.35G 0.08555 0.09815 0 670 640: 19%|█▊ | 11/59 [00:38<02:44, 3.43s/it]
1/99 6.35G 0.08521 0.09721 0 519 640: 19%|█▊ | 11/59 [00:41<02:44, 3.43s/it]
1/99 6.35G 0.08521 0.09721 0 519 640: 20%|██ | 12/59 [00:41<02:39, 3.40s/it]
1/99 6.35G 0.08517 0.09802 0 659 640: 20%|██ | 12/59 [00:44<02:39, 3.40s/it]
1/99 6.35G 0.08517 0.09802 0 659 640: 22%|██▏ | 13/59 [00:44<02:35, 3.37s/it]
1/99 6.35G 0.08511 0.09739 0 530 640: 22%|██▏ | 13/59 [00:47<02:35, 3.37s/it]
1/99 6.35G 0.08511 0.09739 0 530 640: 24%|██▎ | 14/59 [00:47<02:30, 3.34s/it]
1/99 6.35G 0.08502 0.097 0 529 640: 24%|██▎ | 14/59 [00:51<02:30, 3.34s/it]
1/99 6.35G 0.08502 0.097 0 529 640: 25%|██▌ | 15/59 [00:51<02:29, 3.40s/it]
1/99 6.35G 0.08489 0.0973 0 598 640: 25%|██▌ | 15/59 [00:54<02:29, 3.40s/it]
1/99 6.35G 0.08489 0.0973 0 598 640: 27%|██▋ | 16/59 [00:54<02:25, 3.38s/it]
1/99 6.35G 0.0847 0.0974 0 617 640: 27%|██▋ | 16/59 [00:58<02:25, 3.38s/it]
1/99 6.35G 0.0847 0.0974 0 617 640: 29%|██▉ | 17/59 [00:58<02:23, 3.43s/it]
1/99 6.35G 0.08468 0.09795 0 681 640: 29%|██▉ | 17/59 [01:01<02:23, 3.43s/it]
1/99 6.35G 0.08468 0.09795 0 681 640: 31%|███ | 18/59 [01:01<02:19, 3.40s/it]
1/99 6.35G 0.08477 0.09799 0 644 640: 31%|███ | 18/59 [01:04<02:19, 3.40s/it]
1/99 6.35G 0.08477 0.09799 0 644 640: 32%|███▏ | 19/59 [01:04<02:14, 3.37s/it]
1/99 6.35G 0.08452 0.09806 0 592 640: 32%|███▏ | 19/59 [01:08<02:14, 3.37s/it]
1/99 6.35G 0.08452 0.09806 0 592 640: 34%|███▍ | 20/59 [01:08<02:10, 3.34s/it]
1/99 6.35G 0.08447 0.09869 0 737 640: 34%|███▍ | 20/59 [01:11<02:10, 3.34s/it]
1/99 6.35G 0.08447 0.09869 0 737 640: 36%|███▌ | 21/59 [01:11<02:07, 3.34s/it]
1/99 6.35G 0.08448 0.09933 0 671 640: 36%|███▌ | 21/59 [01:15<02:07, 3.34s/it]
1/99 6.35G 0.08448 0.09933 0 671 640: 37%|███▋ | 22/59 [01:15<02:06, 3.41s/it]
1/99 6.35G 0.08434 0.09853 0 439 640: 37%|███▋ | 22/59 [01:18<02:06, 3.41s/it]
1/99 6.35G 0.08434 0.09853 0 439 640: 39%|███▉ | 23/59 [01:18<02:05, 3.50s/it]
1/99 6.35G 0.08424 0.0987 0 676 640: 39%|███▉ | 23/59 [01:22<02:05, 3.50s/it]
1/99 6.35G 0.08424 0.0987 0 676 640: 41%|████ | 24/59 [01:22<02:02, 3.50s/it]
1/99 6.35G 0.08414 0.09902 0 636 640: 41%|████ | 24/59 [01:25<02:02, 3.50s/it]
1/99 6.35G 0.08414 0.09902 0 636 640: 42%|████▏ | 25/59 [01:25<01:56, 3.44s/it]
1/99 6.35G 0.08395 0.09865 0 512 640: 42%|████▏ | 25/59 [01:28<01:56, 3.44s/it]
1/99 6.35G 0.08395 0.09865 0 512 640: 44%|████▍ | 26/59 [01:28<01:51, 3.38s/it]
1/99 6.35G 0.08416 0.09865 0 664 640: 44%|████▍ | 26/59 [01:32<01:51, 3.38s/it]
1/99 6.35G 0.08416 0.09865 0 664 640: 46%|████▌ | 27/59 [01:32<01:47, 3.36s/it]
1/99 6.35G 0.0841 0.09871 0 606 640: 46%|████▌ | 27/59 [01:35<01:47, 3.36s/it]
1/99 6.35G 0.0841 0.09871 0 606 640: 47%|████▋ | 28/59 [01:35<01:43, 3.34s/it]
1/99 6.35G 0.08396 0.09895 0 608 640: 47%|████▋ | 28/59 [01:39<01:43, 3.34s/it]
1/99 6.35G 0.08396 0.09895 0 608 640: 49%|████▉ | 29/59 [01:39<01:41, 3.39s/it]
1/99 6.35G 0.08398 0.09889 0 656 640: 49%|████▉ | 29/59 [01:42<01:41, 3.39s/it]
1/99 6.35G 0.08398 0.09889 0 656 640: 51%|█████ | 30/59 [01:42<01:41, 3.48s/it]
1/99 6.35G 0.08399 0.09891 0 631 640: 51%|█████ | 30/59 [01:46<01:41, 3.48s/it]
1/99 6.35G 0.08399 0.09891 0 631 640: 53%|█████▎ | 31/59 [01:46<01:37, 3.47s/it]
1/99 6.35G 0.08395 0.0986 0 496 640: 53%|█████▎ | 31/59 [01:49<01:37, 3.47s/it]
1/99 6.35G 0.08395 0.0986 0 496 640: 54%|█████▍ | 32/59 [01:49<01:32, 3.42s/it]
1/99 6.35G 0.08461 0.09843 0 780 640: 54%|█████▍ | 32/59 [01:52<01:32, 3.42s/it]
1/99 6.35G 0.08461 0.09843 0 780 640: 56%|█████▌ | 33/59 [01:52<01:28, 3.39s/it]
1/99 6.35G 0.08516 0.09805 0 686 640: 56%|█████▌ | 33/59 [01:56<01:28, 3.39s/it]
1/99 6.35G 0.08516 0.09805 0 686 640: 58%|█████▊ | 34/59 [01:56<01:23, 3.35s/it]
1/99 6.35G 0.08573 0.09772 0 710 640: 58%|█████▊ | 34/59 [01:59<01:23, 3.35s/it]
1/99 6.35G 0.08573 0.09772 0 710 640: 59%|█████▉ | 35/59 [01:59<01:20, 3.34s/it]
1/99 6.35G 0.08624 0.0974 0 668 640: 59%|█████▉ | 35/59 [02:02<01:20, 3.34s/it]
1/99 6.35G 0.08624 0.0974 0 668 640: 61%|██████ | 36/59 [02:02<01:18, 3.40s/it]
1/99 6.35G 0.08656 0.0973 0 701 640: 61%|██████ | 36/59 [02:06<01:18, 3.40s/it]
1/99 6.35G 0.08656 0.0973 0 701 640: 63%|██████▎ | 37/59 [02:06<01:16, 3.50s/it]
1/99 6.35G 0.08677 0.09703 0 619 640: 63%|██████▎ | 37/59 [02:10<01:16, 3.50s/it]
1/99 6.35G 0.08677 0.09703 0 619 640: 64%|██████▍ | 38/59 [02:10<01:13, 3.48s/it]
1/99 6.35G 0.08706 0.09693 0 644 640: 64%|██████▍ | 38/59 [02:13<01:13, 3.48s/it]
1/99 6.35G 0.08706 0.09693 0 644 640: 66%|██████▌ | 39/59 [02:13<01:08, 3.43s/it]
1/99 6.35G 0.08727 0.09694 0 612 640: 66%|██████▌ | 39/59 [02:16<01:08, 3.43s/it]
1/99 6.35G 0.08727 0.09694 0 612 640: 68%|██████▊ | 40/59 [02:16<01:04, 3.39s/it]
1/99 6.35G 0.08724 0.09691 0 534 640: 68%|██████▊ | 40/59 [02:19<01:04, 3.39s/it]
1/99 6.35G 0.08724 0.09691 0 534 640: 69%|██████▉ | 41/59 [02:19<01:00, 3.35s/it]
1/99 6.35G 0.08719 0.09647 0 423 640: 69%|██████▉ | 41/59 [02:23<01:00, 3.35s/it]
1/99 6.35G 0.08719 0.09647 0 423 640: 71%|███████ | 42/59 [02:23<00:56, 3.34s/it]
1/99 6.35G 0.08732 0.09693 0 876 640: 71%|███████ | 42/59 [02:26<00:56, 3.34s/it]
1/99 6.35G 0.08732 0.09693 0 876 640: 73%|███████▎ | 43/59 [02:26<00:53, 3.37s/it]
1/99 6.35G 0.08741 0.09662 0 531 640: 73%|███████▎ | 43/59 [02:30<00:53, 3.37s/it]
1/99 6.35G 0.08741 0.09662 0 531 640: 75%|███████▍ | 44/59 [02:30<00:53, 3.59s/it]
1/99 6.35G 0.0875 0.09647 0 597 640: 75%|███████▍ | 44/59 [02:34<00:53, 3.59s/it]
1/99 6.35G 0.0875 0.09647 0 597 640: 76%|███████▋ | 45/59 [02:34<00:49, 3.56s/it]
1/99 6.35G 0.08761 0.09656 0 705 640: 76%|███████▋ | 45/59 [02:37<00:49, 3.56s/it]
1/99 6.35G 0.08761 0.09656 0 705 640: 78%|███████▊ | 46/59 [02:37<00:45, 3.48s/it]
1/99 6.35G 0.0876 0.09647 0 608 640: 78%|███████▊ | 46/59 [02:40<00:45, 3.48s/it]
1/99 6.35G 0.0876 0.09647 0 608 640: 80%|███████▉ | 47/59 [02:40<00:41, 3.42s/it]
1/99 6.35G 0.08763 0.09649 0 665 640: 80%|███████▉ | 47/59 [02:44<00:41, 3.42s/it]
1/99 6.35G 0.08763 0.09649 0 665 640: 81%|████████▏ | 48/59 [02:44<00:37, 3.39s/it]
1/99 6.35G 0.08768 0.09669 0 729 640: 81%|████████▏ | 48/59 [02:47<00:37, 3.39s/it]
1/99 6.35G 0.08768 0.09669 0 729 640: 83%|████████▎ | 49/59 [02:47<00:33, 3.35s/it]
1/99 6.35G 0.08772 0.09687 0 695 640: 83%|████████▎ | 49/59 [02:50<00:33, 3.35s/it]
1/99 6.35G 0.08772 0.09687 0 695 640: 85%|████████▍ | 50/59 [02:50<00:30, 3.38s/it]
1/99 6.35G 0.08773 0.09671 0 549 640: 85%|████████▍ | 50/59 [02:54<00:30, 3.38s/it]
1/99 6.35G 0.08773 0.09671 0 549 640: 86%|████████▋ | 51/59 [02:54<00:27, 3.47s/it]
1/99 6.35G 0.08776 0.09689 0 710 640: 86%|████████▋ | 51/59 [02:58<00:27, 3.47s/it]
1/99 6.35G 0.08776 0.09689 0 710 640: 88%|████████▊ | 52/59 [02:58<00:24, 3.50s/it]
1/99 6.35G 0.08775 0.09695 0 630 640: 88%|████████▊ | 52/59 [03:01<00:24, 3.50s/it]
1/99 6.35G 0.08775 0.09695 0 630 640: 90%|████████▉ | 53/59 [03:01<00:20, 3.43s/it]
1/99 6.35G 0.08779 0.09712 0 693 640: 90%|████████▉ | 53/59 [03:04<00:20, 3.43s/it]
1/99 6.35G 0.08779 0.09712 0 693 640: 92%|█████████▏| 54/59 [03:04<00:16, 3.39s/it]
1/99 6.35G 0.08769 0.09716 0 585 640: 92%|█████████▏| 54/59 [03:08<00:16, 3.39s/it]
1/99 6.35G 0.08769 0.09716 0 585 640: 93%|█████████▎| 55/59 [03:08<00:13, 3.36s/it]
1/99 6.35G 0.08763 0.09685 0 515 640: 93%|█████████▎| 55/59 [03:11<00:13, 3.36s/it]
1/99 6.35G 0.08763 0.09685 0 515 640: 95%|█████████▍| 56/59 [03:11<00:10, 3.34s/it]
1/99 6.35G 0.08765 0.09699 0 705 640: 95%|█████████▍| 56/59 [03:14<00:10, 3.34s/it]
1/99 6.35G 0.08765 0.09699 0 705 640: 97%|█████████▋| 57/59 [03:14<00:06, 3.36s/it]
1/99 6.35G 0.08765 0.09736 0 726 640: 97%|█████████▋| 57/59 [03:18<00:06, 3.36s/it]
1/99 6.35G 0.08765 0.09736 0 726 640: 98%|█████████▊| 58/59 [03:18<00:03, 3.47s/it]
1/99 6.37G 0.08766 0.09725 0 91 640: 98%|█████████▊| 58/59 [03:18<00:03, 3.47s/it]
1/99 6.37G 0.08766 0.09725 0 91 640: 100%|██████████| 59/59 [03:18<00:00, 2.58s/it]
1/99 6.37G 0.08766 0.09725 0 91 640: 100%|██████████| 59/59 [03:18<00:00, 3.37s/it]
Class Images Labels P R mAP@.5 mAP@.5:.95: 0%| | 0/4 [00:00<?, ?it/s]
Class Images Labels P R mAP@.5 mAP@.5:.95: 25%|██▌ | 1/4 [00:02<00:07, 2.44s/it]
Class Images Labels P R mAP@.5 mAP@.5:.95: 50%|█████ | 2/4 [00:05<00:05, 2.62s/it]
Class Images Labels P R mAP@.5 mAP@.5:.95: 75%|███████▌ | 3/4 [00:07<00:02, 2.53s/it]
Class Images Labels P R mAP@.5 mAP@.5:.95: 100%|██████████| 4/4 [00:08<00:00, 1.90s/it]
Class Images Labels P R mAP@.5 mAP@.5:.95: 100%|██████████| 4/4 [00:08<00:00, 2.14s/it]
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:
{
"crack": [
[
0.26700732111930849,
[
0,
296,
23,
392
]
],
[
0.2672766149044037,
[
686,
648,
767,
689
]
],
[
0.2740951180458069,
[
1,
393,
26,
498
]
],
[
0.27556174993515017,
[
631,
634,
722,
671
]
],
[
0.27758586406707766,
[
582,
247,
630,
295
]
],
[
0.2786214053630829,
[
801,
711,
869,
753
]
],
[
0.28326842188835146,
[
911,
761,
966,
819
]
],
[
0.2855015993118286,
[
726,
61,
765,
126
]
],
[
0.2891019582748413,
[
541,
621,
613,
658
]
],
[
0.28970593214035036,
[
863,
745,
932,
780
]
],
[
0.28980544209480288,
[
752,
8,
785,
76
]
],
[
0.2912375032901764,
[
986,
860,
1020,
918
]
],
[
0.29403477907180788,
[
619,
205,
663,
261
]
],
[
0.29819419980049136,
[
666,
641,
740,
677
]
],
[
0.30100756883621218,
[
1005,
903,
1024,
951
]
],
[
0.30114322900772097,
[
548,
281,
588,
338
]
],
[
0.30483242869377139,
[
1,
342,
26,
450
]
],
[
0.3290395140647888,
[
820,
720,
890,
763
]
],
[
0.3302559554576874,
[
652,
165,
695,
221
]
],
[
0.3334021270275116,
[
0,
693,
35,
736
]
],
[
0.33690938353538515,
[
605,
222,
650,
275
]
],
[
0.34495481848716738,
[
0,
533,
27,
615
]
],
[
0.37444597482681277,
[
963,
713,
1018,
755
]
],
[
0.37496164441108706,
[
686,
121,
735,
176
]
],
[
0.3889273703098297,
[
358,
590,
432,
633
]
],
[
0.40112408995628359,
[
5,
612,
38,
693
]
],
[
0.40698984265327456,
[
593,
235,
640,
287
]
],
[
0.41528889536857607,
[
633,
185,
677,
244
]
],
[
0.4153532385826111,
[
446,
474,
492,
534
]
],
[
0.41710415482521059,
[
996,
879,
1024,
942
]
],
[
0.42140141129493716,
[
762,
0,
792,
47
]
],
[
0.42363840341567995,
[
675,
137,
724,
187
]
],
[
0.42380252480506899,
[
422,
583,
483,
635
]
],
[
0.43151307106018069,
[
709,
93,
750,
155
]
],
[
0.4327857792377472,
[
844,
734,
915,
775
]
],
[
0.4366927146911621,
[
555,
272,
604,
315
]
],
[
0.4374251663684845,
[
233,
649,
297,
688
]
],
[
0.44089221954345705,
[
714,
657,
784,
701
]
],
[
0.448123574256897,
[
739,
37,
774,
107
]
],
[
0.4551221430301666,
[
161,
641,
238,
690
]
],
[
0.45720604062080386,
[
769,
688,
830,
736
]
],
[
0.4593600630760193,
[
963,
839,
1007,
886
]
],
[
0.48793330788612368,
[
607,
626,
690,
664
]
],
[
0.4884047508239746,
[
925,
772,
979,
835
]
],
[
0.5071386694908142,
[
222,
597,
306,
647
]
],
[
0.5111898183822632,
[
473,
431,
514,
497
]
],
[
0.5346865057945252,
[
105,
662,
182,
713
]
],
[
0.5522925853729248,
[
540,
303,
569,
378
]
],
[
0.5579397082328796,
[
506,
367,
552,
432
]
],
[
0.5627263784408569,
[
295,
580,
388,
633
]
],
[
0.5672629475593567,
[
475,
617,
569,
653
]
],
[
0.574158251285553,
[
24,
693,
108,
731
]
],
[
0.5847405791282654,
[
426,
526,
461,
594
]
]
]
}
与我之前的文章中的结果格式保持一致。
近期评论