Comments (6)
My PeleeNet model is trained by Pytorch. I will share it later. To train on Caffe, you can manually modify the output of peleenet.py (modifying the data layer and adding the Accuracy and SoftmaxWithLoss layers).
python peleenet.py > deploy_peleenet.prototxt
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Thank you @Robert-JunWang !
I will try to train pelee classification model.
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Hi, I am sorry to disturb you.
I have deploy_peleenet.prototxt(use peleenet.py) and turn it to peleenet_trainval.prototxt
I am confused about peleenet_inet_acc7243.caffemodel. what is the top-1 accuracy? Is it 72.43?
I use peleenet_inet_acc7243.caffemodel to do test(use peleenet_trainval.prototxt), I get a bad top-1 accuracy. Do you modify peleenet network?
from pelee.
Hi, I am sorry to disturb you.
I have deploy_peleenet.prototxt(use peleenet.py) and turn it to peleenet_trainval.prototxt
I am confused about peleenet_inet_acc7243.caffemodel. what is the top-1 accuracy? Is it 72.43?
I use peleenet_inet_acc7243.caffemodel to do test(use peleenet_trainval.prototxt), I get a bad top-1 accuracy. Do you modify peleenet network?
can you share your deploy_peleenet.prototxt? i can't use [python peleenet.py > deploy_peleenet.prototxt] to get it
from pelee.
Hi, I am sorry to disturb you.
I have deploy_peleenet.prototxt(use peleenet.py) and turn it to peleenet_trainval.prototxt
I am confused about peleenet_inet_acc7243.caffemodel. what is the top-1 accuracy? Is it 72.43?
I use peleenet_inet_acc7243.caffemodel to do test(use peleenet_trainval.prototxt), I get a bad top-1 accuracy. Do you modify peleenet network?
do you train imagenet using peleenet, the accuracy is 73,or some, I train ImageNet, but I get 64% accuracy? can you share you result@yehao ujsyehao
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@lijingle-coder I don't train peleenet, I just test it.
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Related Issues (20)
- fine tuning with different number of classes HOT 1
- peele-SSD add_extra_layers_pelee
- About the stanford dog dataset. HOT 3
- 2-way dense layer in code and paper seems mismatch. HOT 2
- how can i get the fps=120 on nvidia tx2? please help me HOT 1
- Calculation of number of parameter, macc, and flops HOT 3
- pytorch pretained model
- max_iter
- Does it support 512 or bigger input size? HOT 1
- question for iteration HOT 1
- can not download the pretrained PeleeNet model
- one question
- Question for peleeNet structure
- How can I train my own model?
- train error
- peleeNet speed in GTX1080ti HOT 1
- Question about 1x1 convolutional kernels to reduce computational cost
- the paper was accepted two years ago???
- Pelee input resolution problem
- question about merge bn?
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