torch-caffe-binding | Use Caffe in Torch7 | Machine Learning library

 by   szagoruyko C++ Version: Current License: BSD-2-Clause

kandi X-RAY | torch-caffe-binding Summary

kandi X-RAY | torch-caffe-binding Summary

torch-caffe-binding is a C++ library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. torch-caffe-binding has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

A short binding to use Caffe as a module in Torch7. Has the same functionality as MATLAB bindings.
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              torch-caffe-binding has a low active ecosystem.
              It has 63 star(s) with 19 fork(s). There are 8 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 6 open issues and 4 have been closed. On average issues are closed in 36 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of torch-caffe-binding is current.

            kandi-Quality Quality

              torch-caffe-binding has no bugs reported.

            kandi-Security Security

              torch-caffe-binding has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              torch-caffe-binding is licensed under the BSD-2-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

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              torch-caffe-binding releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            torch-caffe-binding Key Features

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            torch-caffe-binding Examples and Code Snippets

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            Community Discussions

            Trending Discussions on torch-caffe-binding

            QUESTION

            Some questions about convert caffe model to torch
            Asked 2017-Sep-18 at 07:39

            I use torch-caffe-binding to convert caffe model to torch. And I want to delete the loss layer in the end and add other torch layers, could I just delete the layer in the .prototxt file and "train" the model to get the .caffemodel file and import in torch?
            And the model uses the lmdb type data, when I use net:forward(input) to train the model, the model just uses the data defined in the data layer instead of uses the inputdata. So how to train the model that uses the lmdb data?
            the caffe model has some custom layer so I can't use the loadcaffe to load the model in torch

            ...

            ANSWER

            Answered 2017-Sep-18 at 07:39

            You have 3 issues here -

            1. You probably need the loss layer for the training (this is what you want to minimize). So train with it, and after the training is done remove it from your prototxt before converting to torch.
            2. In order to use the lmdb rather than using the data layer, connect your input to the first conv layer (assuming your first non-input layer is conv, e.g. say you have

            Source https://stackoverflow.com/questions/46271316

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

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            Install torch-caffe-binding

            You can download it from GitHub.

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