create_databatch-data_augmentation-caffe_resnet | layer resnet based on cifar10 python version
kandi X-RAY | create_databatch-data_augmentation-caffe_resnet Summary
kandi X-RAY | create_databatch-data_augmentation-caffe_resnet Summary
create_databatch-data_augmentation-caffe_resnet is a Python library. create_databatch-data_augmentation-caffe_resnet has no bugs, it has no vulnerabilities and it has low support. However create_databatch-data_augmentation-caffe_resnet build file is not available. You can download it from GitHub.
This project is to bulid the 20-layer resnet based on cifar10 python version or your own data batch Firstly,create your own training and test batch with your pictures using tran_pic _to_mat,or you should down load the cifar10 python version. Secondly,do the data augmentation with data_augumentation,flip is not needed if you use mirror=True in your datalayer of train.prototxt Thirdly,transform the data to lmdb format with tran_matdata_to_lmdb Fourthly,define the resnet with build_resnet Fifthly,train and test the resnet with train_and_test_resnet At last,deploy the resnet with deploy_resnet.
This project is to bulid the 20-layer resnet based on cifar10 python version or your own data batch Firstly,create your own training and test batch with your pictures using tran_pic _to_mat,or you should down load the cifar10 python version. Secondly,do the data augmentation with data_augumentation,flip is not needed if you use mirror=True in your datalayer of train.prototxt Thirdly,transform the data to lmdb format with tran_matdata_to_lmdb Fourthly,define the resnet with build_resnet Fifthly,train and test the resnet with train_and_test_resnet At last,deploy the resnet with deploy_resnet.
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create_databatch-data_augmentation-caffe_resnet has a low active ecosystem.
It has 0 star(s) with 1 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
create_databatch-data_augmentation-caffe_resnet has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of create_databatch-data_augmentation-caffe_resnet is current.
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create_databatch-data_augmentation-caffe_resnet has no bugs reported.
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create_databatch-data_augmentation-caffe_resnet has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
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create_databatch-data_augmentation-caffe_resnet does not have a standard license declared.
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create_databatch-data_augmentation-caffe_resnet releases are not available. You will need to build from source code and install.
create_databatch-data_augmentation-caffe_resnet has no build file. You will be need to create the build yourself to build the component from source.
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Install create_databatch-data_augmentation-caffe_resnet
You can download it from GitHub.
You can use create_databatch-data_augmentation-caffe_resnet like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use create_databatch-data_augmentation-caffe_resnet like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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