Mindbooom

Hi @jszgz ,I noticed this problem too. So I provided a script here to create a new sequence txt which contains images belong to different videos shuffled as video level....

Hi,Now I have another question. I try to use 4 GPU to train the lstm1 by insert the code: net = torch.nn.DataParallel(net, device_ids=[0, 1, 2, 3]) But in the result,...

Hi! @vikrant7 ,I have write a code for multiple GPU training by changing how to init and change the h and c. But It's training is extremely slow and I...

'''train_mvod_lstm1_multigpu.py''' ```python #!/usr/bin/python3 """Script for training the MobileVOD with 1 Bottleneck Bottleneck LSTM layers. As in mobilenet, here we use depthwise seperable convolutions for reducing the computation without affecting accuracy...

@samanthawyf I haven't trained the basenet, just applying the basenet of epoch3 provided by @vikrant7 .And the mAP got from evaluate.py is 43% which is 10% less than the paper....

@vikrant7 Bro, I have a question about the evaluate part. Running evaluate.py with the basenet of epoch2, I got a mAP of 43%.  But there are 2 strange results....

Maybe you havn't set background as one class. The classes are ['__background__', # always index 0 'airplane', 'antelope', 'bear', 'bicycle', 'bird', 'bus', 'car', 'cattle', 'dog', 'domestic_cat', 'elephant', 'fox', 'giant_panda', 'hamster',...

I think it should be same as https://github.com/vikrant7/mobile-vod-bottleneck-lstm

I also get the error frequently in my program, finding it difficult to solve.