Comments (5)
Can you share your converting code? Or are you using the something like pytorch-caffe-darknet-convert?
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#jason718
I updated the github repo with the a script that converts a pytorch alexnet model to a caffe model. It is inside the directory "extras". The same directory also has a script that converts the caffe alexnet model to fully convolutional for the segmentation experiments. When I find time I will update the README with instructions for that part. However, it's pretty easy to use the conversion script: after having install caffe you run the command:
python extras/convert_alexnet_from_pytorch2caffe.py --src=[path to pytorch model] --dst=[path to caffe mode]
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I convert the models on caffe format and use the publicly available caffe code. I uploaded the readme.md with link to a model converted to caffe format.
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+1. It would also be nice for instance to have the configuration you used for classification scores (https://github.com/philkr/voc-classification). I can't reproduce the results in your paper with that repo.
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hi @gidariss , Does the script also contains the code for rescaling of Kraehenbuehl et al, ICLR 2016.
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Related Issues (20)
- Accuracy on AlexNet validation set with conv4 feataure HOT 4
- question about learning rate and rotate strategy HOT 2
- Problem in data transformations HOT 1
- Question regarding fine-tuning phase of ImageNet classification task HOT 1
- Is there any way to implement this code on a custom dataset ? HOT 2
- Please provide a requirements file HOT 1
- Pretext accuracy of RotNet with AlexNet on ImageNet? HOT 2
- In NonLinearClassifier file, you used BatchNorm2d after Linear layer in "Multilayer" settings, is this a bug? HOT 3
- How can I generate a log file, which is needed during training the RotNet?
- Horizontal flip augmentation changes angle HOT 2
- How to deal with images that w not equals h?
- pl add train and evaluation steps for the repo
- Pre-trained model cannot be accessed? HOT 2
- conv2d() arguments error HOT 1
- CIFAR10 self.data does not have attribute test_labels ,test_data
- which exact pytorch version and python version were used? HOT 1
- Reproducing the results in the Paper HOT 8
- Problem about weight rescaling technique
- Problem about accuracy of rotnet and how many data used for comparing the features HOT 1
- Unable to reproduce the ImageNet Linear Classification Results HOT 3
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