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Hello, Li,
First congratulations for your excellent work and thank you a lot for sharing the code. It's really helpful for people like me who starts to work on mammography.
But when I ran a simple …
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my question is quite naive. i am using this code to train and observing the gpu memory usage by the train script and it uses around 10-11 gb of gpu memory with just batch size = 16, which seems strang…
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I am training my own data based on pre-trained checkpoint vgg16.chkp.
My dataset is 1500 pictures,two classes contain 0:background and 1:myObject,my batch=50
**why loss converge so slow?!**
`IN…
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Traceback (most recent call last):
File "da_trainval_net.py", line 398, in
tgt_im_data, tgt_im_info, tgt_gt_boxes, tgt_num_boxes, tgt_need_backprop)
File "/home/youlin/local/anaconda3/envs…
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There are doubts about the CNN features of the image dataset mentioned in your article. Are you using a base model (such as torchvision.models.resnet18(pretain=True) or others) to extract features or …
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您好!我有两个问题:
1. compress_rate是指每层的保留率吗,还是指的是每层要删掉的比例呢?
2. 是在开始剪枝前仅计算一次各卷积层的平均秩,还是每层剪枝完后计算下一个卷积层的平均秩呢(比如第1层剪完了,然后我才计算第2层的平均秩;然后再剪第2层,再计算第3层的平均秩......)?
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How to run by pretrained model from torchvision? Just skip "5.2 Prepare caffe-pretrained vgg16" and run “mkdir checkpoints/” and "python3 train.py train --env='fasterrcnn-caffe' --plot-every=100 --caf…
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Hello, thanks for your impressive work.
I am trying to reproduce the results of source only, AdaptSeg, and proposed method on C-Driving benchmarks.
I checked the appendices (C.2.Training details), …
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Hello,
I would like to integrate some classic CNN, e.g. AlexNet, VGG16, into this project. Take AlexNet as an example, I discard the last layer of original AlexNet, and use the second last layer to…
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dear all
i have problem when using faster r cnn in cpu mode.
**. ./tools/demo.py --cpu**
the error i found below:
**Loaded network /home/marifnst/Downloads/py-faster-rcnn-master/data/faster_rcnn_mo…