Comments (8)
zxt881108
commented on May 16, 2024
2
@rmfckaka 一方面是因为pascal voc太简单，基本看不出区别了（就像cifar/mnist在分类上一样），在coco上one_stage这些都被two_stage秒杀的节奏。refinedet算是伪one-stage的算法，使劲刷效果也还可以，但是仍然比fpn的faster/rfcn系列的低几个点。另一方面，pascal和coco评测标准不一样，pascal偏向目标的recall的评测，coco则需要兼顾目标定位度，而one-stage的检测在recall上还是不错的，但是在目标定位精准度上有差距，所以coco上效果就低很多。所以你打比赛，看是什么类型的比赛了😀
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lzx1413
commented on May 16, 2024
就跑过一次，76多，没有再仔细调试
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shiontao
commented on May 16, 2024
谢谢，代码已经跑起来啦。在做比赛，楼主还有什么map比较高的网络以及提高map的trick推荐吗
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lzx1413
commented on May 16, 2024
打比赛两阶段的网络精度更高吧一般
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zxt881108
commented on May 16, 2024
打比赛出门左转detectron😀
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shiontao
commented on May 16, 2024
@zxt881108 why?我看楼主的代码在voc上的map很高了啊已经。
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shiontao
commented on May 16, 2024
@lzx1413 有什么好的网络推荐吗
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shiontao
commented on May 16, 2024
@zxt881108 好的，非常感谢！
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Related Issues (20)
- IndexError: too many indices for array HOT 1
- fssd divergent HOT 1
- No module named 'yacs'
- 'RFBNet' object has no attribute 'module'
- TypeError: Expected Ptr<cv::UMat> for argument 'src' HOT 1
- Unexpected key(s) in state_dict: L2Norm.weight HOT 2
- The mAP of SSD-Resnet is lower than SSD-VGG16. HOT 1
- 想问下大家，在训练的过程中又碰到AP为0的情况吗，我是用的自己的数据集训练的。num_class啥的都改过了，实在不知道该咋办了
- from .nms.cpu_nms import cpu_nms, cpu_soft_nms ImportError: /home/gabriel/PytorchSSD/utils/nms/cpu_nms.so: undefined symbol: _Py_ZeroStruct
- all loss is nan
- Hi, I need your help ! RefineDet320 voc 2007 only get mAP=0.76, lower than SSD300? HOT 4
- No module named 'utils.nms.cpu_nms'
- Where is L2Norm???
- What is the RFB_E model in models/ folder?
- Why Refinedet only support 320 input dim? HOT 1
- batch_size=16 or batch_size=32 ? HOT 1
- Where can I download other pre-trained mobilenet models?
- RuntimeError: copy_if failed to synchronize: device-side assert triggered
- File "train_test.py", line 127, in <module> net = build_net(size=300, num_classes=7) File "/home/syh-hwj/daima/PytorchSSD/models/FSSD_vgg.py", line 224, in build_net return FSSD(*feature_transform_module(vgg(vgg_base[str(size)], 3), add_extras(extras[str(size)], 1024), size=300), File "/home/syh-hwj/daima/PytorchSSD/models/base_models.py", line 14, in vgg conv2d = nn.Conv2d(in_channels, v, kernel_size=3, padding=1) File "/home/syh-hwj/anaconda3/lib/python3.6/site-packages/torch/nn/modules/conv.py", line 297, in __init__ False, _pair(0), groups, bias) File "/home/syh-hwj/anaconda3/lib/python3.6/site-packages/torch/nn/modules/conv.py", line 33, in __init__ out_channels, in_channels // groups, *kernel_size)) RuntimeError: CUDA error: out of memory
- 每次到测试阶段都报错
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