picpac | An image database for deep learning | Machine Learning library

 by   aaalgo HTML Version: Current License: BSD-2-Clause

kandi X-RAY | picpac Summary

kandi X-RAY | picpac Summary

picpac is a HTML library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. picpac has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

PicPac is an image database for deep learning. It is developed so that the user of different deep learning frameworks can all use the same image database format. Features: - Store raw images in one-file database, decoding & augmentation on-the-fly. - Support most image formats. - Python and C++ API. - Multi-threading in background. - Support most common tasks (classification, regression, segmentation and instance segmentation). - Flexible streaming options (shuffle, stratified sampling). - Flexible augmentation framework. - Compatible with all major frameworks (Tensorflow, Keras, PyTorch, Caffe). - In memory caching for small datasets. - True random shuffle with extremely large dataset (need SSD storage).
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            kandi-support Support

              picpac has a low active ecosystem.
              It has 45 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 0 open issues and 3 have been closed. On average issues are closed in 374 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of picpac is current.

            kandi-Quality Quality

              picpac has no bugs reported.

            kandi-Security Security

              picpac has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              picpac 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.

            kandi-Reuse Reuse

              picpac releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

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            picpac Key Features

            No Key Features are available at this moment for picpac.

            picpac Examples and Code Snippets

            No Code Snippets are available at this moment for picpac.

            Community Discussions

            Trending Discussions on picpac

            QUESTION

            Swift Get UIImage from layers of UIView
            Asked 2017-Aug-16 at 23:41

            I have CAShapeLayers in my UIView and I want UIImage from the view.
            So I am trying thru below function but getting an error at
            UIGraphicsGetCurrentContext()

            ...

            ANSWER

            Answered 2017-Aug-16 at 23:41

            If the size passed to UIGraphicsBeginImageContext(_) is zero in either or both dimension(s) then UIGraphicsGetCurrentContext() returns nil and so will UIGraphicsGetImageFromCurrentImageContext().

            Source https://stackoverflow.com/questions/45724163

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

            Vulnerabilities

            No vulnerabilities reported

            Install picpac

            This is the recommended installation method if you are using ubuntu 16.04 and python3.5. Download the .so file from [here](http://www.aaalgo.com/picpac/binary/picpac.cpython-35m-x86_64-linux-gnu.so) and drop in your current directory. You should be able to import picpac in python3.
            The basic library depends on OpenCV and Boost. The dependency on [Json11](https://github.com/dropbox/json11) is provided as git submodule, which can be pulled in by. PicPac Explorer for visualizing annotation results is built with separate rules and has many more dependencies. Use the link about to download a portable pre-built version.

            Support

            This API is obsolete and now in picpac_legacy namespace. The database format is the same. We are working on new documentation.
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            CLONE
          • HTTPS

            https://github.com/aaalgo/picpac.git

          • CLI

            gh repo clone aaalgo/picpac

          • sshUrl

            git@github.com:aaalgo/picpac.git

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