YOLOv8 Ultralytics：使用Ultralytics框架训练RT-DETR实时目标检测模型
YOLOv8 Ultralytics：使用Ultralytics框架训练RT-DETR实时目标检测模型
- 前言
- 相关介绍
- 前提条件
- 实验环境
- 安装环境
- 项目地址
-
- Linux
- Windows
- 制作自己的数据集
- 训练自己的数据集
-
- 创建自己数据集的yaml文件
-
- football.yaml文件内容
- 进行训练
- 进行验证
- 进行预测
- 数据集获取
- 参考文献
前言
- 由于本人水平有限，难免出现错漏，敬请批评改正。
- 更多精彩内容，可点击进入Python日常小操作专栏、OpenCV-Python小应用专栏、YOLO系列专栏、自然语言处理专栏或我的个人主页查看
- 基于DETR的人脸伪装检测
- YOLOv7训练自己的数据集（口罩检测）
- YOLOv8训练自己的数据集（足球检测）
- YOLOv5：TensorRT加速YOLOv5模型推理
- YOLOv5：IoU、GIoU、DIoU、CIoU、EIoU
- 玩转Jetson Nano（五）：TensorRT加速YOLOv5目标检测
- YOLOv5：添加SE、CBAM、CoordAtt、ECA注意力机制
- YOLOv5：yolov5s.yaml配置文件解读、增加小目标检测层
- Python将COCO格式实例分割数据集转换为YOLO格式实例分割数据集
- YOLOv5：使用7.0版本训练自己的实例分割模型（车辆、行人、路标、车道线等实例分割）
- 使用Kaggle GPU资源免费体验Stable Diffusion开源项目
相关介绍
- YOLOv8是YOLO系列实时目标检测器的最新版本，在准确性和速度方面提供了尖端的性能。基于以前的YOLO版本的进步，YOLOv8引入了新的功能和优化，使其成为各种应用中各种目标检测任务的理想选择。
- YOLOv8官方文档：https://docs.ultralytics.com/
- RT-DETR(Real-Time Detection Transformer)由百度开发，是一种尖端的端到端目标检测器，在保持高精度的同时提供实时性能。它利用视觉变压器(ViT)的力量，通过解耦尺度内相互作用和跨尺度融合，有效地处理多尺度特征。RT-DETR具有高度适应性，支持使用不同解码器层灵活调整推理速度而无需重新训练。该模型在加速后端(如CUDA和TensorRT)上表现出色，优于许多其他实时对象检测器。
- 主要特性
- 高效混合编码器:百度的RT-DETR使用高效混合编码器，通过解耦尺度内相互作用和跨尺度融合来处理多尺度特征。这种独特的基于视觉转换器的设计降低了计算成本，并允许实时对象检测。
- IoU感知查询选择:b百度的RT-DETR通过利用iou感知查询选择来改进对象查询初始化。这使得模型能够专注于场景中最相关的物体，提高检测精度。
- 自适应推理速度:百度的RT-DETR支持灵活调整
- RT-DETR论文地址：https://arxiv.org/abs/2304.08069
- RT-DETR官方源代码：https://github.com/lyuwenyu/RT-DETR
- 注：RT-DETR官方源代码，是使用百度深度学习框架飞桨PaddlePaddle实现的，由于本人主机暂未配置好PaddlePaddle相关环境，因此本文使用Ultralytics框架训练RT-DETR实时目标检测模型。
前提条件
- 熟悉Python
实验环境
matplotlib>=3.2.2
numpy>=1.18.5
opencv-python>=4.6.0
Pillow>=7.1.2
PyYAML>=5.3.1
requests>=2.23.0
scipy>=1.4.1
torch>=1.7.0
torchvision>=0.8.1
tqdm>=4.64.0
tensorboard>=2.4.1
pandas>=1.1.4
seaborn>=0.11.0
安装环境
pip install ultralytics
项目地址
- 官方YOLOv8源代码地址：https://github.com/ultralytics/ultralytics.git
Linux
git clone https://github.com/ultralytics/ultralytics.git
Cloning into 'ultralytics'...
remote: Enumerating objects: 4583, done.
remote: Counting objects: 100% (4583/4583), done.
remote: Compressing objects: 100% (1270/1270), done.
remote: Total 4583 (delta 2981), reused 4576 (delta 2979), pack-reused 0
Receiving objects: 100% (4583/4583), 23.95 MiB | 1.55 MiB/s, done.
Resolving deltas: 100% (2981/2981), done.
Windows
请到
https://github.com/ultralytics/ultralytics.git网站下载源代码zip压缩包。
制作自己的数据集
详见YOLOv7训练自己的数据集（口罩检测）
地址：https://blog.csdn.net/FriendshipTang/article/details/126513426
训练自己的数据集
创建自己数据集的yaml文件
以
football.yaml文件内容为例，大家可以根据自己的数据集信息进行修改。
football.yaml文件内容
# train and val data as 1) directory: path/images/, 2) file: path/images.txt, or 3) list: [path1/images/, path2/images/]
train: ./yolov8/football_yolodataset/trainset
val: ./yolov8/football_yolodataset/testset
# number of classes
nc: 1
# class names
names: ["football"]
进行训练
yolo train data=../football.yaml model=./ultralytics/cfg/models/rt-detr/rtdetr-l.yaml epochs=300 imgsz=640 workers=0 batch=4 amp=False pretrained=rtdetr-l.pt
WARNING no model scale passed. Assuming scale='l'.
from n params module arguments
0 -1 1 25248 ultralytics.nn.modules.block.HGStem [3, 32, 48]
1 -1 6 155072 ultralytics.nn.modules.block.HGBlock [48, 48, 128, 3, 6]
2 -1 1 1408 ultralytics.nn.modules.conv.DWConv [128, 128, 3, 2, 1, False]
3 -1 6 839296 ultralytics.nn.modules.block.HGBlock [128, 96, 512, 3, 6]
4 -1 1 5632 ultralytics.nn.modules.conv.DWConv [512, 512, 3, 2, 1, False]
5 -1 6 1695360 ultralytics.nn.modules.block.HGBlock [512, 192, 1024, 5, 6, True, False]
6 -1 6 2055808 ultralytics.nn.modules.block.HGBlock [1024, 192, 1024, 5, 6, True, True]
7 -1 6 2055808 ultralytics.nn.modules.block.HGBlock [1024, 192, 1024, 5, 6, True, True]
8 -1 1 11264 ultralytics.nn.modules.conv.DWConv [1024, 1024, 3, 2, 1, False]
9 -1 6 6708480 ultralytics.nn.modules.block.HGBlock [1024, 384, 2048, 5, 6, True, False]
10 -1 1 524800 ultralytics.nn.modules.conv.Conv [2048, 256, 1, 1, None, 1, 1, False]
11 -1 1 789760 ultralytics.nn.modules.transformer.AIFI [256, 1024, 8]
12 -1 1 66048 ultralytics.nn.modules.conv.Conv [256, 256, 1, 1]
13 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
14 7 1 262656 ultralytics.nn.modules.conv.Conv [1024, 256, 1, 1, None, 1, 1, False]
15 [-2, -1] 1 0 ultralytics.nn.modules.conv.Concat [1]
16 -1 3 2232320 ultralytics.nn.modules.block.RepC3 [512, 256, 3]
17 -1 1 66048 ultralytics.nn.modules.conv.Conv [256, 256, 1, 1]
18 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
19 3 1 131584 ultralytics.nn.modules.conv.Conv [512, 256, 1, 1, None, 1, 1, False]
20 [-2, -1] 1 0 ultralytics.nn.modules.conv.Concat [1]
21 -1 3 2232320 ultralytics.nn.modules.block.RepC3 [512, 256, 3]
22 -1 1 590336 ultralytics.nn.modules.conv.Conv [256, 256, 3, 2]
23 [-1, 17] 1 0 ultralytics.nn.modules.conv.Concat [1]
24 -1 3 2232320 ultralytics.nn.modules.block.RepC3 [512, 256, 3]
25 -1 1 590336 ultralytics.nn.modules.conv.Conv [256, 256, 3, 2]
26 [-1, 12] 1 0 ultralytics.nn.modules.conv.Concat [1]
27 -1 3 2232320 ultralytics.nn.modules.block.RepC3 [512, 256, 3]
28 [21, 24, 27] 1 7466252 ultralytics.nn.modules.head.RTDETRDecoder [80, [256, 256, 256]]
m RTDETRDecoder
rtdetr-l summary: 673 layers, 32970476 parameters, 32970476 gradients
Ultralytics YOLOv8.0.131 Python-3.8.17 torch-1.13.1+cu117 CUDA:0 (NVIDIA GeForce RTX 3060 Laptop GPU, 12288MiB)
yolo\engine\trainer: task=detect, mode=train, model=./ultralytics/cfg/models/rt-detr/rtdetr-l.yaml, data=../football.yaml, epochs=300, patience=50, batch=4, imgsz=640, save=True, save_period=-1, cache=False, device=None, workers=0, project=None, name=None, exist_ok=False, pretrained=True, optimizer=auto, verbose=True, seed=0, deterministic=False, single_cls=False, rect=False, cos_lr=False, close_mosaic=10, resume=False, amp=False, fraction=1.0, profile=False, overlap_mask=True, mask_ratio=4, dropout=0.0, val=True, split=val, save_json=False, save_hybrid=False, conf=None, iou=0.7, max_det=300, half=False, dnn=False, plots=True, source=None, show=False, save_txt=False, save_conf=False, save_crop=False, show_labels=True, show_conf=True, vid_stride=1, line_width=None, visualize=False, augment=False, agnostic_nms=False, classes=None, retina_masks=False, boxes=True, format=torchscript, keras=False, optimize=False, int8=False, dynamic=False, simplify=False, opset=None, workspace=4, nms=False, lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=7.5, cls=0.5, dfl=1.5, pose=12.0, kobj=1.0, label_smoothing=0.0, nbs=64, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0, cfg=None, v5loader=False, tracker=botsort.yaml, save_dir=runs\detect\train8
Overriding model.yaml nc=80 with nc=1
WARNING no model scale passed. Assuming scale='l'.
from n params module arguments
0 -1 1 25248 ultralytics.nn.modules.block.HGStem [3, 32, 48]
1 -1 6 155072 ultralytics.nn.modules.block.HGBlock [48, 48, 128, 3, 6]
2 -1 1 1408 ultralytics.nn.modules.conv.DWConv [128, 128, 3, 2, 1, False]
3 -1 6 839296 ultralytics.nn.modules.block.HGBlock [128, 96, 512, 3, 6]
4 -1 1 5632 ultralytics.nn.modules.conv.DWConv [512, 512, 3, 2, 1, False]
5 -1 6 1695360 ultralytics.nn.modules.block.HGBlock [512, 192, 1024, 5, 6, True, False]
6 -1 6 2055808 ultralytics.nn.modules.block.HGBlock [1024, 192, 1024, 5, 6, True, True]
7 -1 6 2055808 ultralytics.nn.modules.block.HGBlock [1024, 192, 1024, 5, 6, True, True]
8 -1 1 11264 ultralytics.nn.modules.conv.DWConv [1024, 1024, 3, 2, 1, False]
9 -1 6 6708480 ultralytics.nn.modules.block.HGBlock [1024, 384, 2048, 5, 6, True, False]
10 -1 1 524800 ultralytics.nn.modules.conv.Conv [2048, 256, 1, 1, None, 1, 1, False]
11 -1 1 789760 ultralytics.nn.modules.transformer.AIFI [256, 1024, 8]
12 -1 1 66048 ultralytics.nn.modules.conv.Conv [256, 256, 1, 1]
13 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
14 7 1 262656 ultralytics.nn.modules.conv.Conv [1024, 256, 1, 1, None, 1, 1, False]
15 [-2, -1] 1 0 ultralytics.nn.modules.conv.Concat [1]
16 -1 3 2232320 ultralytics.nn.modules.block.RepC3 [512, 256, 3]
17 -1 1 66048 ultralytics.nn.modules.conv.Conv [256, 256, 1, 1]
18 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
19 3 1 131584 ultralytics.nn.modules.conv.Conv [512, 256, 1, 1, None, 1, 1, False]
20 [-2, -1] 1 0 ultralytics.nn.modules.conv.Concat [1]
21 -1 3 2232320 ultralytics.nn.modules.block.RepC3 [512, 256, 3]
22 -1 1 590336 ultralytics.nn.modules.conv.Conv [256, 256, 3, 2]
23 [-1, 17] 1 0 ultralytics.nn.modules.conv.Concat [1]
24 -1 3 2232320 ultralytics.nn.modules.block.RepC3 [512, 256, 3]
25 -1 1 590336 ultralytics.nn.modules.conv.Conv [256, 256, 3, 2]
26 [-1, 12] 1 0 ultralytics.nn.modules.conv.Concat [1]
27 -1 3 2232320 ultralytics.nn.modules.block.RepC3 [512, 256, 3]
28 [21, 24, 27] 1 7303907 ultralytics.nn.modules.head.RTDETRDecoder [1, [256, 256, 256]]
m RTDETRDecoder
rtdetr-l summary: 673 layers, 32808131 parameters, 32808131 gradients
TensorBoard: Start with 'tensorboard --logdir runs\detect\train8', view at http://localhost:6006/
train: Scanning E:\mytest\datasets\football_yolodataset\trainset\labels.cache... 2614 images, 0 backgrounds, 0 corrupt
val: Scanning E:\mytest\datasets\football_yolodataset\testset\labels.cache... 683 images, 0 backgrounds, 0 corrupt: 10
Plotting labels to runs\detect\train8\labels.jpg...
optimizer: SGD(lr=0.01, momentum=0.9) with parameter groups 143 weight(decay=0.0), 206 weight(decay=0.0005), 226 bias(decay=0.0)
Image sizes 640 train, 640 val
Using 0 dataloader workers
Logging results to runs\detect\train8
Starting training for 300 epochs...
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
0%| | 0/654 [00:00<?, ?it/s]D:\anaconda3\envs\test2\lib\site-packages\torch\nn\functional.py:1967: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
1/300 5.7G 2.016 9.866 0.7808 2 640: 100%|██████████| 654/654 [08:31<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 8.18e-05 0.00433 7.05e-05 1.69e-05
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
2/300 5.88G 2.091 0.1358 0.9149 3 640: 100%|██████████| 654/654 [08:36<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.000117 0.0346 6.17e-05 1.45e-05
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
3/300 5.88G 1.99 0.1844 0.7314 5 640: 100%|██████████| 654/654 [12:10<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.00902 0.0592 0.0014 0.000375
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
4/300 5.87G 2.004 0.2118 0.6383 2 640: 100%|██████████| 654/654 [12:03<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.0294 0.00866 0.0029 0.00131
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
5/300 5.88G 1.941 0.234 0.5851 1 640: 100%|██████████| 654/654 [11:57<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 7.94e-05 0.00866 4.93e-05 1.28e-05
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
6/300 5.88G 1.867 0.2509 0.5485 1 640: 100%|██████████| 654/654 [12:01<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.171 0.0924 0.0509 0.0196
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
7/300 5.88G 1.683 0.3479 0.3833 2 640: 100%|██████████| 654/654 [12:04<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.183 0.0996 0.0529 0.0181
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
8/300 5.88G 1.64 0.3486 0.365 2 640: 100%|██████████| 654/654 [12:10<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.15 0.0981 0.0412 0.0104
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
9/300 5.88G 1.503 0.4317 0.2877 1 640: 100%|██████████| 654/654 [12:17<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.185 0.12 0.0655 0.0288
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
10/300 5.88G 1.468 0.4512 0.2902 4 640: 100%|██████████| 654/654 [12:27<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.179 0.15 0.0693 0.0345
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
11/300 5.84G 1.459 0.4607 0.2701 0 640: 100%|██████████| 654/654 [12:16<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.138 0.167 0.0637 0.0409
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
12/300 5.88G 1.383 0.4955 0.2304 3 640: 100%|██████████| 654/654 [12:23<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.224 0.157 0.0803 0.0391
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
13/300 5.88G 1.418 0.4635 0.2428 1 640: 100%|██████████| 654/654 [12:19<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.159 0.19 0.0701 0.036
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
14/300 5.88G 1.353 0.4957 0.224 2 640: 100%|██████████| 654/654 [12:22<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.244 0.196 0.1 0.0542
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
15/300 5.88G 1.351 0.5121 0.2215 2 640: 100%|██████████| 654/654 [12:31<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.331 0.17 0.137 0.0577
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
16/300 5.88G 1.335 0.517 0.2176 2 640: 100%|██████████| 654/654 [12:26<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.284 0.165 0.131 0.0728
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
17/300 5.88G 1.321 0.5094 0.2012 3 640: 100%|██████████| 654/654 [12:26<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.325 0.17 0.133 0.074
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
18/300 5.88G 1.277 0.5149 0.1977 2 640: 100%|██████████| 654/654 [12:27<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.316 0.215 0.156 0.0787
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
19/300 5.88G 1.319 0.486 0.1996 1 640: 100%|██████████| 654/654 [12:25<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.356 0.229 0.182 0.0977
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
20/300 5.88G 1.327 0.4869 0.2022 4 640: 100%|██████████| 654/654 [12:19<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.365 0.213 0.176 0.0659
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
21/300 5.88G 1.287 0.5096 0.1972 2 640: 100%|██████████| 654/654 [12:21<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.326 0.208 0.151 0.0882
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
22/300 5.88G 1.3 0.5061 0.1885 1 640: 100%|██████████| 654/654 [12:22<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.469 0.24 0.223 0.121
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
23/300 5.87G 1.288 0.4853 0.1784 5 640: 100%|██████████| 654/654 [12:24<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.5 0.237 0.243 0.12
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
24/300 5.88G 1.184 0.538 0.1606 3 640: 100%|██████████| 654/654 [12:22<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.52 0.254 0.266 0.155
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
25/300 5.88G 1.216 0.5168 0.164 3 640: 100%|██████████| 654/654 [12:21<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.348 0.243 0.183 0.0871
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
26/300 5.88G 1.186 0.5436 0.152 2 640: 100%|██████████| 654/654 [12:14<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.465 0.198 0.195 0.0808
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
27/300 5.88G 1.234 0.5114 0.1589 2 640: 100%|██████████| 654/654 [12:23<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.462 0.255 0.249 0.129
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
28/300 5.88G 1.219 0.5152 0.1637 2 640: 100%|██████████| 654/654 [12:21<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.411 0.284 0.285 0.133
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
29/300 5.88G 1.142 0.5676 0.1402 4 640: 100%|██████████| 654/654 [12:27<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.535 0.286 0.288 0.156
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
30/300 5.88G 1.157 0.5413 0.1481 2 640: 100%|██████████| 654/654 [12:20<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.521 0.268 0.306 0.176
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
31/300 5.88G 1.172 0.5491 0.139 3 640: 100%|██████████| 654/654 [12:30<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.591 0.25 0.288 0.147
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
32/300 5.88G 1.224 0.5098 0.1447 3 640: 100%|██████████| 654/654 [12:21<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.472 0.295 0.303 0.172
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
33/300 5.88G 1.107 0.5618 0.127 2 640: 100%|██████████| 654/654 [12:20<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.527 0.338 0.355 0.182
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
34/300 5.88G 1.145 0.5549 0.1437 3 640: 100%|██████████| 654/654 [12:13<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.514 0.287 0.324 0.168
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
35/300 5.88G 1.13 0.5634 0.1348 1 640: 100%|██████████| 654/654 [12:17<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.54 0.234 0.261 0.13
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
36/300 5.88G 1.161 0.5633 0.1274 6 640: 100%|██████████| 654/654 [12:21<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.592 0.222 0.224 0.0949
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
37/300 5.88G 1.209 0.5175 0.1399 2 640: 100%|██████████| 654/654 [12:22<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.558 0.27 0.312 0.177
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
38/300 5.88G 1.108 0.5606 0.1291 1 640: 100%|██████████| 654/654 [12:31<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.525 0.281 0.314 0.177
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
39/300 5.88G 1.124 0.5489 0.1347 4 640: 100%|██████████| 654/654 [12:32<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.575 0.251 0.294 0.156
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
40/300 5.84G 1.099 0.5764 0.1191 0 640: 100%|██████████| 654/654 [12:32<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.523 0.294 0.326 0.132
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
41/300 5.88G 1.141 0.5436 0.1387 1 640: 100%|██████████| 654/654 [12:30<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.55 0.276 0.34 0.186
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
42/300 5.88G 1.188 0.546 0.1295 4 640: 100%|██████████| 654/654 [12:30<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.577 0.277 0.305 0.156
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
43/300 5.88G 1.197 0.5203 0.1363 3 640: 100%|██████████| 654/654 [12:27<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.608 0.255 0.35 0.145
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
44/300 5.88G 1.079 0.5749 0.1156 1 640: 100%|██████████| 654/654 [12:24<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.553 0.247 0.297 0.153
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
45/300 5.9G 1.153 0.534 0.1306 3 640: 100%|██████████| 654/654 [12:27<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.611 0.297 0.336 0.194
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
46/300 5.47G 1.131 0.5481 0.1218 1 640: 100%|██████████| 654/654 [12:15<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.554 0.313 0.358 0.207
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
47/300 5.88G 1.066 0.5711 0.1136 4 640: 100%|██████████| 654/654 [12:26<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.502 0.302 0.33 0.181
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
48/300 5.88G 1.072 0.5861 0.1166 4 640: 100%|██████████| 654/654 [12:15<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.459 0.258 0.277 0.113
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
49/300 5.88G 1.072 0.5638 0.1171 4 640: 100%|██████████| 654/654 [12:17<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.53 0.346 0.393 0.222
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
50/300 5.88G 1.04 0.5848 0.1082 1 640: 100%|██████████| 654/654 [12:20<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.558 0.319 0.384 0.194
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
51/300 5.88G 1.036 0.5835 0.1014 2 640: 100%|██████████| 654/654 [12:19<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.572 0.313 0.378 0.218
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
52/300 5.84G 1.078 0.5582 0.1093 0 640: 100%|██████████| 654/654 [12:28<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.53 0.361 0.401 0.207
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
53/300 5.88G 1.072 0.5652 0.1129 5 640: 100%|██████████| 654/654 [12:26<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.528 0.307 0.355 0.183
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
54/300 5.88G 1.058 0.5719 0.1143 4 640: 100%|██████████| 654/654 [12:22<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.534 0.335 0.384 0.22
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
55/300 5.88G 1.089 0.5435 0.1153 4 640: 100%|██████████| 654/654 [12:14<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.593 0.294 0.352 0.178
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
56/300 5.88G 1.009 0.5888 0.1044 2 640: 100%|██████████| 654/654 [12:21<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.643 0.27 0.369 0.189
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
57/300 5.88G 1.137 0.5302 0.1183 5 640: 100%|██████████| 654/654 [12:24<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.534 0.264 0.306 0.14
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
58/300 5.89G 1.063 0.5736 0.1099 2 640: 100%|██████████| 654/654 [12:23<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.569 0.4 0.456 0.249
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
59/300 5.88G 1.042 0.5708 0.1068 2 640: 100%|██████████| 654/654 [12:29<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.643 0.372 0.419 0.2
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
60/300 5.88G 0.9891 0.5827 0.1009 2 640: 100%|██████████| 654/654 [12:29<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.648 0.359 0.429 0.217
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
61/300 5.88G 0.9947 0.5821 0.09967 2 640: 100%|██████████| 654/654 [12:22<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.575 0.334 0.407 0.22
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
62/300 5.88G 1.009 0.5849 0.1022 2 640: 100%|██████████| 654/654 [12:24<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.517 0.343 0.385 0.211
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
63/300 5.88G 1.072 0.5524 0.1043 5 640: 100%|██████████| 654/654 [12:31<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.612 0.355 0.428 0.214
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
64/300 5.88G 1.067 0.5564 0.09933 2 640: 100%|██████████| 654/654 [12:30<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.591 0.354 0.448 0.22
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
65/300 5.88G 1.21 0.4832 0.1128 2 640: 100%|██████████| 654/654 [12:28<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.635 0.329 0.374 0.193
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
66/300 5.89G 1.043 0.5487 0.09866 1 640: 100%|██████████| 654/654 [12:22<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.548 0.286 0.323 0.169
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
67/300 5.88G 1.07 0.5497 0.1051 4 640: 100%|██████████| 654/654 [12:14<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.595 0.345 0.417 0.177
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
68/300 5.88G 1.033 0.5831 0.1012 3 640: 100%|██████████| 654/654 [12:27<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.601 0.366 0.448 0.256
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
69/300 5.88G 0.9639 0.6044 0.09625 2 640: 100%|██████████| 654/654 [12:12<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.59 0.316 0.37 0.209
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
70/300 5.88G 1.135 0.5297 0.1064 4 640: 100%|██████████| 654/654 [12:11<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.585 0.319 0.388 0.212
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
71/300 5.88G 0.9831 0.6099 0.09478 1 640: 100%|██████████| 654/654 [12:11<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.554 0.329 0.408 0.244
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
72/300 5.88G 0.9367 0.6138 0.09201 2 640: 100%|██████████| 654/654 [12:11<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.611 0.46 0.523 0.275
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
73/300 5.88G 0.9726 0.5746 0.09402 1 640: 100%|██████████| 654/654 [12:16<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.495 0.465 0.491 0.265
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
74/300 5.88G 0.9804 0.5981 0.09945 4 640: 100%|██████████| 654/654 [12:16<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.565 0.375 0.438 0.255
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
75/300 5.88G 1.106 0.5173 0.1049 2 640: 100%|██████████| 654/654 [12:12<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.477 0.338 0.385 0.149
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
76/300 5.88G 0.9822 0.5797 0.09662 3 640: 100%|██████████| 654/654 [12:12<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.55 0.436 0.501 0.291
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
77/300 5.88G 0.9375 0.5984 0.08723 3 640: 100%|██████████| 654/654 [12:14<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.61 0.328 0.425 0.234
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
78/300 5.88G 0.949 0.6132 0.0869 2 640: 100%|██████████| 654/654 [12:19<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.56 0.367 0.431 0.215
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
79/300 5.88G 0.954 0.5951 0.08397 1 640: 100%|██████████| 654/654 [12:14<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.54 0.399 0.467 0.208
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
80/300 5.88G 0.9531 0.6103 0.08478 2 640: 100%|██████████| 654/654 [12:16<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.61 0.372 0.447 0.243
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
81/300 5.88G 1.01 0.5641 0.09513 1 640: 100%|██████████| 654/654 [12:22<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.624 0.343 0.433 0.253
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
82/300 5.89G 1.013 0.5679 0.09298 1 640: 100%|██████████| 654/654 [12:27<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.626 0.401 0.473 0.257
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
83/300 5.88G 0.9229 0.6021 0.08481 2 640: 100%|██████████| 654/654 [12:23<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.591 0.417 0.501 0.29
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
84/300 5.84G 0.9188 0.6046 0.08625 0 640: 100%|██████████| 654/654 [12:21<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.733 0.293 0.372 0.197
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
85/300 5.88G 0.8815 0.6194 0.08088 4 640: 100%|██████████| 654/654 [12:25<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.532 0.43 0.502 0.258
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
86/300 5.88G 0.9814 0.5805 0.08766 2 640: 100%|██████████| 654/654 [12:19<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:5
all 683 693 0.596 0.38 0.453 0.236
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
87/300 5.88G 1.062 0.5374 0.09518 3 640: 100%|██████████| 654/654 [12:17<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.543 0.364 0.442 0.235
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
88/300 5.88G 0.9246 0.6182 0.08568 1 640: 100%|██████████| 654/654 [12:14<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.524 0.397 0.478 0.229
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
89/300 5.88G 0.9753 0.5833 0.08834 3 640: 100%|██████████| 654/654 [12:15<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.614 0.369 0.441 0.235
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
90/300 5.88G 0.9605 0.5866 0.0898 3 640: 100%|██████████| 654/654 [12:19<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.667 0.375 0.442 0.245
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
91/300 5.88G 0.8935 0.6169 0.08047 2 640: 100%|██████████| 654/654 [12:21<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.643 0.385 0.467 0.202
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
92/300 5.88G 0.8948 0.6121 0.0827 1 640: 100%|██████████| 654/654 [12:21<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.588 0.429 0.481 0.271
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
93/300 5.88G 0.897 0.6306 0.08432 3 640: 100%|██████████| 654/654 [12:29<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.643 0.364 0.454 0.261
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
94/300 5.88G 0.9121 0.5977 0.08088 2 640: 100%|██████████| 654/654 [12:15<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.668 0.414 0.519 0.291
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
95/300 5.88G 0.8894 0.5919 0.07857 2 640: 100%|██████████| 654/654 [12:18<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.632 0.434 0.502 0.282
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
96/300 5.88G 1.003 0.5653 0.09076 4 640: 100%|██████████| 654/654 [12:18<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.683 0.375 0.468 0.271
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
97/300 5.88G 0.9323 0.5931 0.08215 3 640: 100%|██████████| 654/654 [12:16<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.652 0.354 0.445 0.25
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
98/300 5.88G 0.942 0.5868 0.08675 1 640: 100%|██████████| 654/654 [12:12<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.629 0.405 0.47 0.25
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
99/300 5.88G 1.069 0.5289 0.09574 3 640: 100%|██████████| 654/654 [12:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:4
all 683 693 0.585 0.375 0.442 0.237
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
100/300 5.88G 0.9722 0.5628 0.09199 4 640: 100%|██████████| 654/654 [10:31<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.627 0.374 0.472 0.22
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
101/300 5.88G 0.978 0.5625 0.08342 2 640: 100%|██████████| 654/654 [05:10<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.588 0.358 0.429 0.213
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
102/300 5.88G 0.9301 0.5787 0.08057 3 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.645 0.372 0.456 0.204
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
103/300 5.88G 0.9343 0.5804 0.0813 1 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.659 0.393 0.474 0.283
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
104/300 5.88G 0.9079 0.6055 0.07737 3 640: 100%|██████████| 654/654 [05:10<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.634 0.359 0.466 0.267
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
105/300 5.88G 0.8484 0.6192 0.07495 1 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.703 0.38 0.487 0.26
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
106/300 5.88G 0.89 0.5936 0.07418 3 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.591 0.465 0.533 0.307
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
107/300 5.88G 0.8477 0.6174 0.07322 1 640: 100%|██████████| 654/654 [05:10<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.654 0.437 0.513 0.3
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
108/300 5.88G 0.8861 0.5943 0.08069 2 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.589 0.479 0.553 0.291
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
109/300 5.88G 0.9437 0.5719 0.08064 1 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.604 0.476 0.555 0.32
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
110/300 5.88G 0.9787 0.555 0.07846 2 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.73 0.305 0.383 0.206
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
111/300 5.89G 1.261 0.4204 0.1157 1 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.639 0.296 0.345 0.192
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
112/300 5.88G 1.134 0.4973 0.114 6 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.662 0.393 0.456 0.25
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
113/300 5.88G 0.9737 0.5701 0.09212 2 640: 100%|██████████| 654/654 [05:10<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.668 0.369 0.469 0.247
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
114/300 5.88G 0.9191 0.5847 0.07629 2 640: 100%|██████████| 654/654 [05:10<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.611 0.354 0.422 0.218
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
115/300 5.88G 0.8433 0.6226 0.07281 2 640: 100%|██████████| 654/654 [05:10<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.55 0.429 0.483 0.237
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
116/300 5.88G 0.8648 0.6019 0.07602 1 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.593 0.431 0.505 0.271
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
117/300 5.88G 0.8721 0.6035 0.07473 1 640: 100%|██████████| 654/654 [05:10<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.634 0.421 0.502 0.293
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
118/300 5.88G 0.8953 0.5988 0.07634 2 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.675 0.41 0.495 0.267
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
119/300 5.88G 0.8033 0.6271 0.06936 2 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.65 0.489 0.575 0.315
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
120/300 5.88G 0.8829 0.603 0.075 1 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.597 0.476 0.526 0.295
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
121/300 5.88G 0.7919 0.6458 0.06564 3 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.566 0.473 0.547 0.327
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
122/300 5.88G 0.7954 0.6517 0.06621 1 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.622 0.466 0.547 0.317
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
123/300 5.88G 0.8194 0.6146 0.06834 3 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.596 0.446 0.541 0.288
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
124/300 5.88G 0.8042 0.6218 0.06513 3 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.64 0.481 0.57 0.332
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
125/300 5.88G 0.9037 0.5734 0.06996 5 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.622 0.46 0.555 0.334
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
126/300 5.88G 0.9431 0.5663 0.07395 2 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.576 0.481 0.571 0.32
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
127/300 5.88G 0.9804 0.547 0.0781 5 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.543 0.438 0.5 0.254
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
128/300 5.88G 0.8503 0.6048 0.07171 2 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.589 0.466 0.548 0.315
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
129/300 5.88G 0.8611 0.6036 0.0683 4 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.591 0.479 0.533 0.28
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
130/300 5.88G 1.208 0.4775 0.1003 3 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.627 0.299 0.38 0.206
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
131/300 5.88G 1.422 0.4079 0.1536 1 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.645 0.377 0.435 0.226
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
132/300 5.88G 0.9743 0.5632 0.08991 5 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.592 0.417 0.474 0.286
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
133/300 5.86G 0.8784 0.5933 0.07379 4 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.586 0.5 0.555 0.323
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
134/300 5.88G 0.8017 0.6214 0.0649 1 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.63 0.476 0.554 0.313
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
135/300 5.88G 0.8386 0.6159 0.06819 2 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.632 0.481 0.583 0.35
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
136/300 5.84G 0.8626 0.5929 0.06823 0 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.615 0.486 0.573 0.298
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
137/300 5.88G 0.8892 0.5921 0.07108 3 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.626 0.436 0.547 0.312
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
138/300 5.88G 0.8477 0.6053 0.06825 2 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.565 0.439 0.52 0.261
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
139/300 5.88G 0.9664 0.5612 0.07648 3 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.677 0.382 0.486 0.268
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
140/300 5.88G 1.116 0.5006 0.09616 2 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.521 0.172 0.189 0.0567
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
141/300 5.88G 1.274 0.4764 0.116 1 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.587 0.356 0.439 0.198
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
142/300 5.89G 0.9785 0.5898 0.08256 5 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.785 0.245 0.339 0.19
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
143/300 5.88G 0.9424 0.5959 0.07859 3 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.652 0.315 0.389 0.226
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
144/300 5.88G 0.9335 0.6221 0.07816 3 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.683 0.317 0.421 0.214
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
145/300 5.88G 1.058 0.5299 0.0867 3 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.688 0.251 0.331 0.135
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
146/300 5.88G 0.9534 0.5799 0.07986 1 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.634 0.42 0.53 0.281
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
147/300 5.88G 0.9107 0.5764 0.07362 2 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.695 0.45 0.543 0.267
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
148/300 5.88G 0.7975 0.6393 0.06511 2 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.664 0.537 0.62 0.349
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
149/300 5.88G 0.8112 0.6261 0.06523 1 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.713 0.492 0.591 0.34
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
150/300 5.88G 0.805 0.6213 0.06498 1 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.681 0.545 0.628 0.353
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
151/300 5.88G 0.8094 0.5996 0.06766 2 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.686 0.517 0.597 0.34
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
152/300 5.88G 0.7904 0.6077 0.06116 5 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.677 0.538 0.627 0.364
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
153/300 5.88G 0.8243 0.5964 0.06751 3 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.693 0.574 0.648 0.367
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
154/300 5.88G 0.8081 0.5928 0.06349 3 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.655 0.547 0.616 0.32
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
155/300 5.88G 0.7643 0.5944 0.06232 4 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.646 0.443 0.564 0.327
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
156/300 5.88G 0.7694 0.6051 0.05876 4 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.657 0.579 0.645 0.369
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
157/300 5.88G 0.8198 0.5891 0.06395 4 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.664 0.625 0.671 0.38
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
158/300 5.88G 0.7229 0.6317 0.05443 2 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.653 0.626 0.668 0.383
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
159/300 5.88G 0.7686 0.6135 0.06131 1 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.704 0.56 0.642 0.363
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
160/300 5.88G 0.8546 0.583 0.06616 4 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.7 0.55 0.629 0.346
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
161/300 5.88G 0.7705 0.6206 0.06442 2 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.671 0.551 0.63 0.354
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
162/300 5.88G 0.6981 0.653 0.05631 3 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.614 0.557 0.627 0.351
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
163/300 5.88G 0.7115 0.6541 0.0564 3 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.61 0.492 0.588 0.33
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
164/300 5.88G 0.8177 0.5801 0.05986 2 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.659 0.58 0.661 0.373
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
165/300 5.88G 0.7286 0.6229 0.05602 1 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.711 0.572 0.666 0.371
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
166/300 5.88G 0.7366 0.6271 0.05605 3 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.693 0.61 0.686 0.386
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
167/300 5.88G 0.8249 0.5783 0.06347 2 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.587 0.524 0.593 0.325
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
168/300 5.88G 0.7986 0.5943 0.06363 1 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.625 0.512 0.588 0.32
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
169/300 5.88G 0.7888 0.6114 0.0623 2 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.676 0.577 0.655 0.329
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
170/300 5.88G 0.7179 0.6146 0.0573 3 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.692 0.536 0.641 0.36
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
171/300 5.89G 0.7109 0.617 0.05246 5 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.686 0.464 0.603 0.35
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
172/300 5.88G 0.7623 0.5981 0.05676 1 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.635 0.56 0.654 0.373
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
173/300 5.88G 0.7564 0.5909 0.05793 4 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.652 0.537 0.62 0.34
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
174/300 5.88G 0.9517 0.5393 0.07397 7 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.664 0.534 0.611 0.331
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
175/300 5.88G 1.134 0.4753 0.08766 1 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.678 0.446 0.551 0.265
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
176/300 5.88G 0.9154 0.5678 0.07116 4 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.648 0.479 0.569 0.295
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
177/300 5.88G 0.8992 0.556 0.06962 3 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.664 0.446 0.548 0.274
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
178/300 5.88G 0.9162 0.5751 0.07208 2 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.735 0.328 0.435 0.19
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
179/300 5.88G 0.8861 0.6181 0.07308 4 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.708 0.436 0.539 0.309
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
180/300 5.88G 0.9372 0.5855 0.07486 2 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.668 0.468 0.55 0.292
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
181/300 5.88G 0.8979 0.5793 0.07067 1 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.73 0.335 0.463 0.262
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
182/300 5.88G 0.8159 0.6134 0.06419 3 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.7 0.475 0.568 0.319
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
183/300 5.88G 0.8176 0.5888 0.06139 2 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.702 0.502 0.601 0.336
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
184/300 5.88G 0.795 0.6023 0.06017 2 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.736 0.377 0.517 0.287
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
185/300 5.88G 0.8219 0.5964 0.06163 3 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.69 0.397 0.52 0.289
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
186/300 5.88G 0.8839 0.5853 0.06619 4 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.684 0.418 0.501 0.239
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
187/300 5.88G 0.8109 0.6091 0.06247 2 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.66 0.317 0.41 0.184
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
188/300 5.88G 0.921 0.5492 0.06873 3 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.638 0.366 0.452 0.186
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
189/300 5.88G 0.9315 0.5718 0.07169 4 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.601 0.348 0.451 0.165
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
190/300 5.88G 0.9329 0.5451 0.07256 4 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.502 0.324 0.414 0.136
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
191/300 5.88G 1.139 0.4906 0.09108 2 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.629 0.245 0.335 0.107
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
192/300 5.88G 1.001 0.6089 0.08039 5 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.687 0.291 0.399 0.179
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
193/300 5.88G 0.7975 0.6236 0.06264 3 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.7 0.381 0.496 0.251
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
194/300 5.88G 0.7184 0.613 0.05833 3 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.701 0.423 0.547 0.291
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
195/300 5.88G 0.7262 0.604 0.05493 3 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.69 0.452 0.563 0.3
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
196/300 5.88G 0.7232 0.5935 0.05189 4 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.678 0.489 0.604 0.327
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
197/300 5.88G 0.7022 0.6041 0.05244 2 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.697 0.605 0.681 0.395
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
198/300 5.88G 0.7307 0.5893 0.05126 2 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.721 0.57 0.687 0.382
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
199/300 5.89G 0.6917 0.5861 0.05323 3 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.714 0.613 0.702 0.403
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
200/300 5.88G 0.7033 0.5934 0.05432 3 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.723 0.622 0.705 0.404
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
201/300 5.88G 0.7197 0.6013 0.05282 2 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.721 0.629 0.7 0.406
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
202/300 5.88G 0.7162 0.5905 0.05171 2 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.707 0.584 0.675 0.382
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
203/300 5.88G 0.8061 0.5638 0.05788 2 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.654 0.509 0.626 0.335
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
204/300 5.88G 0.6573 0.5904 0.04898 2 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.718 0.556 0.666 0.365
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
205/300 5.88G 0.6765 0.6092 0.05418 3 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.713 0.587 0.685 0.387
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
206/300 5.88G 0.651 0.6087 0.04994 3 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.701 0.599 0.695 0.387
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
207/300 5.89G 0.7208 0.5768 0.05089 3 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.722 0.633 0.716 0.403
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
208/300 5.88G 0.6868 0.5842 0.05165 1 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.742 0.653 0.732 0.426
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
209/300 5.88G 0.6839 0.5827 0.04741 3 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.758 0.659 0.744 0.439
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
210/300 5.88G 0.6543 0.5809 0.04672 2 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.762 0.68 0.751 0.442
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
211/300 5.88G 0.6698 0.6054 0.05149 4 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.761 0.685 0.745 0.427
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
212/300 5.88G 0.6492 0.6046 0.04846 4 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.761 0.635 0.726 0.417
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
213/300 5.88G 0.6725 0.6102 0.0489 1 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.764 0.615 0.712 0.398
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
214/300 5.88G 0.702 0.5748 0.05036 3 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.765 0.603 0.706 0.377
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
215/300 5.84G 0.6978 0.5777 0.05055 0 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.798 0.671 0.759 0.445
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
216/300 5.88G 0.7019 0.5671 0.05101 3 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.771 0.67 0.758 0.459
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
217/300 5.88G 0.7216 0.584 0.0529 2 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.759 0.654 0.746 0.438
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
218/300 5.88G 0.6851 0.6018 0.05135 4 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.754 0.645 0.743 0.44
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
219/300 5.88G 0.6555 0.599 0.04941 4 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.734 0.657 0.744 0.447
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
220/300 5.88G 0.6587 0.5779 0.04692 5 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.745 0.665 0.752 0.458
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
221/300 5.88G 0.7119 0.5649 0.05233 4 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.743 0.681 0.757 0.46
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
222/300 5.88G 0.6385 0.5947 0.04787 5 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.758 0.69 0.768 0.457
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
223/300 5.88G 0.6563 0.5724 0.04792 3 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.769 0.681 0.766 0.451
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
224/300 5.88G 0.6943 0.5923 0.05142 1 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.77 0.691 0.774 0.451
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
225/300 5.88G 0.6193 0.5937 0.0458 2 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.765 0.671 0.767 0.447
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
226/300 5.88G 0.6533 0.5789 0.04743 4 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.779 0.675 0.769 0.45
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
227/300 5.88G 0.6873 0.5482 0.0481 7 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.781 0.686 0.77 0.456
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
228/300 5.88G 0.6328 0.5859 0.04875 2 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.787 0.693 0.777 0.455
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
229/300 5.88G 0.6365 0.5779 0.04712 1 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.783 0.69 0.777 0.452
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
230/300 5.88G 0.6318 0.5835 0.04655 3 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.775 0.697 0.778 0.452
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
231/300 5.89G 0.6313 0.5764 0.04495 4 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.763 0.691 0.779 0.439
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
232/300 5.88G 0.6812 0.5728 0.04922 4 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.761 0.678 0.767 0.434
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
233/300 5.88G 0.6808 0.5576 0.04911 3 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.775 0.698 0.773 0.432
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
234/300 5.88G 0.6386 0.5777 0.04586 6 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.747 0.685 0.766 0.424
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
235/300 5.88G 0.6065 0.5803 0.04454 3 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.757 0.684 0.772 0.441
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
236/300 5.88G 0.6903 0.5513 0.05033 3 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.756 0.707 0.779 0.441
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
237/300 5.88G 0.6649 0.5776 0.04722 4 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.751 0.713 0.778 0.44
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
238/300 5.88G 0.5729 0.591 0.0433 4 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.766 0.71 0.781 0.451
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
239/300 5.89G 0.6337 0.5742 0.04703 1 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.769 0.702 0.779 0.466
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
240/300 5.88G 0.6717 0.57 0.05188 1 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.778 0.692 0.781 0.446
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
241/300 5.88G 0.6078 0.5935 0.04444 1 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.777 0.69 0.777 0.444
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
242/300 5.88G 0.6241 0.5898 0.04674 4 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.767 0.698 0.78 0.448
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
243/300 5.88G 0.6617 0.5748 0.04606 3 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.78 0.704 0.783 0.449
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
244/300 5.88G 0.6513 0.5677 0.04743 3 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.759 0.703 0.783 0.451
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
245/300 5.88G 0.7629 0.6115 0.0576 3 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.754 0.722 0.785 0.457
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
246/300 5.89G 0.6312 0.6115 0.04658 2 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.742 0.704 0.774 0.447
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
247/300 5.88G 0.7 0.5939 0.04901 4 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.772 0.696 0.781 0.425
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
248/300 5.88G 0.6291 0.5817 0.04563 5 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.785 0.69 0.778 0.435
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
249/300 5.88G 0.6112 0.5928 0.0441 4 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.783 0.688 0.774 0.432
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
250/300 5.88G 0.6171 0.5863 0.04322 3 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.8 0.674 0.776 0.432
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
251/300 5.88G 0.6596 0.5704 0.04637 5 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.782 0.662 0.763 0.426
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
252/300 5.88G 0.7292 0.57 0.04573 1 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.784 0.687 0.771 0.424
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
253/300 5.88G 0.966 0.5822 0.06961 1 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.782 0.698 0.768 0.414
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
254/300 5.88G 0.8899 0.592 0.06331 1 640: 100%|██████████| 654/654 [05:16<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.678 0.519 0.617 0.336
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
255/300 5.88G 0.6988 0.5877 0.05099 3 640: 100%|██████████| 654/654 [05:18<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.711 0.465 0.572 0.316
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
256/300 5.88G 0.592 0.5742 0.04532 2 640: 100%|██████████| 654/654 [05:17<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.729 0.471 0.59 0.314
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
257/300 5.88G 0.6064 0.5515 0.04301 4 640: 100%|██████████| 654/654 [05:11<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.726 0.561 0.665 0.355
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
258/300 5.88G 0.7258 0.5441 0.04592 2 640: 100%|██████████| 654/654 [05:15<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.769 0.644 0.737 0.384
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
259/300 5.88G 0.7316 0.5434 0.05325 1 640: 100%|██████████| 654/654 [05:12<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.758 0.677 0.748 0.374
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
260/300 5.88G 1.088 0.4934 0.07518 3 640: 100%|██████████| 654/654 [05:14<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.673 0.521 0.623 0.272
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
261/300 5.88G 0.7455 0.5503 0.05071 2 640: 100%|██████████| 654/654 [05:13<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.702 0.6 0.694 0.32
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
262/300 5.88G 0.6257 0.563 0.04417 2 640: 100%|██████████| 654/654 [05:15<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.73 0.64 0.722 0.353
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
263/300 5.47G 0.5841 0.556 0.04446 4 640: 100%|██████████| 654/654 [05:12<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.766 0.69 0.749 0.376
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
264/300 5.88G 0.5519 0.5493 0.04344 3 640: 100%|██████████| 654/654 [05:14<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.773 0.698 0.763 0.401
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
265/300 5.88G 0.6715 0.5377 0.04353 2 640: 100%|██████████| 654/654 [05:13<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.783 0.725 0.783 0.407
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
266/300 5.88G 0.949 0.5583 0.07371 1 640: 100%|██████████| 654/654 [05:14<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.796 0.749 0.801 0.464
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
267/300 5.88G 0.8033 0.5463 0.06024 2 640: 100%|██████████| 654/654 [05:13<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.794 0.747 0.799 0.459
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
268/300 5.88G 0.6971 0.5739 0.0471 3 640: 100%|██████████| 654/654 [05:14<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.803 0.721 0.794 0.449
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
269/300 5.88G 0.6028 0.5745 0.04291 3 640: 100%|██████████| 654/654 [05:14<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.804 0.739 0.8 0.442
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
270/300 5.88G 0.6138 0.5555 0.04296 4 640: 100%|██████████| 654/654 [05:10<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.799 0.753 0.801 0.442
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
271/300 5.88G 0.7239 0.5519 0.04957 4 640: 100%|██████████| 654/654 [05:18<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.807 0.746 0.799 0.438
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
272/300 5.88G 0.6957 0.5486 0.04952 3 640: 100%|██████████| 654/654 [05:11<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.811 0.734 0.799 0.433
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
273/300 5.88G 0.6163 0.5781 0.04562 2 640: 100%|██████████| 654/654 [05:16<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.804 0.741 0.799 0.424
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
274/300 5.88G 0.6311 0.5482 0.04331 3 640: 100%|██████████| 654/654 [05:13<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.808 0.72 0.795 0.416
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
275/300 5.88G 0.6376 0.5406 0.04445 5 640: 100%|██████████| 654/654 [05:14<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.805 0.726 0.796 0.421
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
276/300 5.88G 0.6054 0.5483 0.04145 1 640: 100%|██████████| 654/654 [05:14<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.796 0.736 0.802 0.433
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
277/300 5.88G 0.632 0.5313 0.04429 2 640: 100%|██████████| 654/654 [05:15<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.804 0.74 0.801 0.436
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
278/300 5.88G 0.5583 0.5487 0.04089 4 640: 100%|██████████| 654/654 [05:14<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.814 0.727 0.802 0.438
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
279/300 5.88G 0.587 0.5472 0.04093 4 640: 100%|██████████| 654/654 [05:13<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.834 0.726 0.803 0.444
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
280/300 5.88G 0.5545 0.5575 0.04138 2 640: 100%|██████████| 654/654 [05:16<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.822 0.726 0.797 0.432
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
281/300 5.88G 0.5439 0.5426 0.03976 3 640: 100%|██████████| 654/654 [05:11<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.833 0.723 0.798 0.431
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
282/300 5.88G 0.5995 0.5277 0.04483 4 640: 100%|██████████| 654/654 [05:17<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.826 0.734 0.808 0.441
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
283/300 5.88G 0.5914 0.5252 0.04379 2 640: 100%|██████████| 654/654 [05:10<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.834 0.73 0.806 0.444
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
284/300 5.88G 0.5796 0.5498 0.04151 3 640: 100%|██████████| 654/654 [05:15<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.814 0.739 0.806 0.45
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
285/300 5.88G 0.5914 0.5571 0.04411 5 640: 100%|██████████| 654/654 [05:10<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.812 0.75 0.814 0.466
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
286/300 5.88G 0.5503 0.5775 0.04031 4 640: 100%|██████████| 654/654 [05:16<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.821 0.752 0.817 0.477
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
287/300 5.88G 0.5227 0.5589 0.04154 1 640: 100%|██████████| 654/654 [05:12<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.808 0.761 0.809 0.473
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
288/300 5.88G 0.5558 0.5386 0.03965 1 640: 100%|██████████| 654/654 [05:16<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.808 0.758 0.811 0.47
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
289/300 5.88G 0.5299 0.528 0.0383 5 640: 100%|██████████| 654/654 [05:12<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.829 0.751 0.815 0.476
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
290/300 5.84G 0.5461 0.5312 0.03773 0 640: 100%|██████████| 654/654 [05:14<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.819 0.765 0.822 0.479
Closing dataloader mosaic
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
291/300 5.88G 0.5305 0.558 0.04126 2 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.834 0.766 0.828 0.486
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
292/300 5.88G 0.5576 0.5582 0.04099 2 640: 100%|██████████| 654/654 [05:12<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.847 0.759 0.827 0.488
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
293/300 5.88G 0.5516 0.5494 0.04096 1 640: 100%|██████████| 654/654 [05:07<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.845 0.749 0.823 0.485
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
294/300 5.88G 0.5101 0.5357 0.03998 2 640: 100%|██████████| 654/654 [05:10<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.848 0.755 0.83 0.49
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
295/300 5.88G 0.5078 0.5321 0.03925 1 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.848 0.757 0.825 0.487
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
296/300 5.88G 0.4871 0.5165 0.0382 2 640: 100%|██████████| 654/654 [05:12<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.84 0.764 0.827 0.49
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
297/300 5.88G 0.4986 0.5147 0.0381 2 640: 100%|██████████| 654/654 [05:08<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.841 0.766 0.826 0.49
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
298/300 5.88G 0.5041 0.4985 0.03872 2 640: 100%|██████████| 654/654 [05:11<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.842 0.769 0.824 0.489
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
299/300 5.88G 0.4996 0.5026 0.0391 2 640: 100%|██████████| 654/654 [05:09<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.841 0.771 0.827 0.489
Epoch GPU_mem giou_loss cls_loss l1_loss Instances Size
300/300 5.88G 0.4977 0.5114 0.03831 2 640: 100%|██████████| 654/654 [05:10<00:00,
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.845 0.772 0.827 0.491
300 epochs completed in 40.323 hours.
Optimizer stripped from runs\detect\train8\weights\last.pt, 66.1MB
Optimizer stripped from runs\detect\train8\weights\best.pt, 66.1MB
Validating runs\detect\train8\weights\best.pt...
Ultralytics YOLOv8.0.131 Python-3.8.17 torch-1.13.1+cu117 CUDA:0 (NVIDIA GeForce RTX 3060 Laptop GPU, 12288MiB)
rtdetr-l summary: 498 layers, 31985795 parameters, 0 gradients
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 86/86 [00:2
all 683 693 0.846 0.772 0.828 0.491
Speed: 0.2ms preprocess, 12.7ms inference, 0.0ms loss, 0.2ms postprocess per image
Results saved to runs\detect\train8
- 从cls_loss来看，模型可能过拟合了。
训练完成，会在./runs/detect/train文件夹生成best.pt和last.pt权重。
进行验证
yolo val data=../football.yaml model=runs/detect/train/weights/best.pt imgsz=640 workers=0 batch=4
进行预测
yolo detect predict model=./runs/detect/train/weights/best.pt source="football.png" # predict with custom model
数据集获取
足球数据集
- 地址：https://download.csdn.net/download/FriendshipTang/87354858
参考文献
[1] Wenyu Lv, Yian Zhao, Shangliang Xu, Jinman Wei, Guanzhong Wang, Cheng Cui, Yuning Du, Qingqing Dang, Yi Liu. DETRs Beat YOLOs on Real-time Object Detection. 2023
[2] YOLOv8 源代码地址：https://github.com/ultralytics/ultralytics.git.
[3] YOLOv8 Docs：https://docs.ultralytics.com/
[4] RT-DETR论文地址：https://arxiv.org/abs/2304.08069
[5] RT-DETR官方源代码：https://github.com/lyuwenyu/RT-DETR
- 由于本人水平有限，难免出现错漏，敬请批评改正。
- 更多精彩内容，可点击进入Python日常小操作专栏、OpenCV-Python小应用专栏、YOLO系列专栏、自然语言处理专栏或我的个人主页查看
- 基于DETR的人脸伪装检测
- YOLOv7训练自己的数据集（口罩检测）
- YOLOv8训练自己的数据集（足球检测）
- YOLOv5：TensorRT加速YOLOv5模型推理
- YOLOv5：IoU、GIoU、DIoU、CIoU、EIoU
- 玩转Jetson Nano（五）：TensorRT加速YOLOv5目标检测
- YOLOv5：添加SE、CBAM、CoordAtt、ECA注意力机制
- YOLOv5：yolov5s.yaml配置文件解读、增加小目标检测层
- Python将COCO格式实例分割数据集转换为YOLO格式实例分割数据集
- YOLOv5：使用7.0版本训练自己的实例分割模型（车辆、行人、路标、车道线等实例分割）
- 使用Kaggle GPU资源免费体验Stable Diffusion开源项目