How I can train myself datasets with ImageNe pretrained model ?

[aiaini66]

I have read the README.md file and see your words:"You need to convert the dataset into leveldb format using "create_imagenet.sh". We will show you how to do this. To be continued.". Now I want to train myself Datasets with ImageNe pretrained model ,if there are any instruction about how to convert myself Datasets format？ I'm forward to your reply!

[brijesh099]

1. Change the paths in create_imagenet.sh with your dataset path.
   $ vi /examples/cvprw15-cifar10/create_imagenet.sh

2. Run script prepare_train.sh to download ImageNet pretrained model and convert myself dataset to leveldb format.
   $ ./prepare_train.sh

3. Change the source with your leveldb source in training script.
   $ vi /examples/cvprw15-cifar10/train_48.sh

4. Go to the folder /examples/cvprw15-cifar10, and run the training script:

$ cd /examples/cvprw15-cifar10
$ chmod 777 train_48.sh
$ ./train_48.sh

5. You will finally get your model named KevinNet_CIFAR10_48_iter_xxxxxx.caffemodel. To use your model, modify the model_file in demo.m to link to your model:

   model_file = './YOUR/MODEL/PATH/filename.caffemodel';

6. Launch matlab and run demo.m.

[aiaini66]

thanks a lot! If I have any questions in the further work ,I'll ask you for help ! best wish!

[mudi-1125]

The baidu link of model and image resource is invalid, can anyone share it?

[kevinlin311tw]

About the baidu link, I found that my baidu account is dead since Baidu request new authentication. It only accept China's phone number, but I don't have one. Sorry for the convenience.