Related Issues (20)
- Dataset path HOT 1
- train: path of model HOT 1
- Trying to reproduce human Semantic Parsing in pytorch HOT 4
- weight shareing HOT 3
- Much Lower Result & GPU Problem HOT 7
- The parts of human semantic parsing HOT 1
- in semantic part,how do you decide the segprob? HOT 1
- how do you get the LIP_iter_30000.chainermodel?
- can you share your evaluate code?I got very low result HOT 2
- environment set HOT 2
- The pretrained for human sematic parsing HOT 4
- how to train the model,the details about training process . Reid model and segment model trained sparately?
- is there pytorch version,can you share it HOT 1
- Ask for trained model
- > > Hi, I use only 1 GPU(GXT 1080Ti 11GB) for training this model. Limited by memory of GPU, I set the batchsize=4 instead of 16 in your code. And I trained the model only on Market-1501 dataset instead of 10 datasets. The result is mAP = 0.385818, r1 precision = 0.627969 much lower than your paper said. So there are two problems.
- Testing my own images
- 决定不引用这类论文,不是想黑:想不明白,公开得差不多了,为啥训练好的模型和评估函数都不放进去,方便比较?
- Weight Sharing Setting when training the model
- I am not getting the dataset of this program, can you please send me the dataset particular to this project
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