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MobileNetV3 SSD的简洁版本

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我有使用 mbv3_large.old.pth.tar 當作預訓練模型,對VOC2007進行訓練(5000epochs)。 但是使用eval.py的結果 : Mean Average Precision (mAP): 0.005 請問有可能是什麼問題?

SSD用于检测6个输出特征图的来自不同的卷积阶段,其分辨率也不同,但是在本代码中,输出检测分辨率都是原图的1/32,请问大佬这样改动是有什么收益吗?

During the train, I discovered that my own dataset is not suitable for this code. Could you tell me what the format is and how should I review the n_classes...

Could you please upload pre-trained weights into google drive for people who are not from china? (very interested in how it will perform with comparison to the new yolo v5,...

我输入的命令是python eval.py,错误如下,请问这是什么原因呢? File "/home/chenjunsong/MobileNetV3-SSD-Compact-Version-master/model.py", line 461, in detect_objects suppress = torch.max(suppress, overlap[box] > max_overlap) RuntimeError: _th_max not supported on CUDAType for Bool

with open(os.path.join(data_folder, self.split + '_objects.json'), 'r') as j: FileNotFoundError: [Errno 2] No such file or directory: './TRAIN_objects.json' 请问在用自己数据集训练时,需要提前划分出train,val,test的json文件是吗? 还有一些测试问题,不知道您能不能提供邮箱或者qq联系您。 我的q:212587194 谢谢!

楼主你好,我想复现你这个0.678的结果,但是采用你代码中现有的设置,发现无法复现。请问lr应该倾向于怎么样的设置呢?

作者您好,请问一下在VOC0712训练一个epoch大概需要多长时间,我用2*2080Ti去训练,但是100step就需要45s, 请问我在不影响整体训练的情况下应该要如何去调整呢?

楼主你好,可以采用state_dict的方式保存你已经训练好的模型吗?模型整个保存加载时会提醒AttributeError: Can't get attribute 'SSD300' on

![image](https://user-images.githubusercontent.com/54388037/81382351-d5da2800-9140-11ea-8a7f-4dab1e80d344.png) 请问在使用VOC2007训练时,出现上图情况。但是eval.py可以正常运行