mxnet_mtcnn_head_detect | mxnet_mtcnn_head_detect

 by   Qidian213 Python Version: Current License: No License

kandi X-RAY | mxnet_mtcnn_head_detect Summary

kandi X-RAY | mxnet_mtcnn_head_detect Summary

mxnet_mtcnn_head_detect is a Python library. mxnet_mtcnn_head_detect has no bugs, it has no vulnerabilities and it has low support. However mxnet_mtcnn_head_detect build file is not available. You can download it from GitHub.

this repository is the implementation of MTCNN in MXnet.
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            kandi-support Support

              mxnet_mtcnn_head_detect has a low active ecosystem.
              It has 15 star(s) with 13 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 3 open issues and 0 have been closed. On average issues are closed in 345 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of mxnet_mtcnn_head_detect is current.

            kandi-Quality Quality

              mxnet_mtcnn_head_detect has 0 bugs and 0 code smells.

            kandi-Security Security

              mxnet_mtcnn_head_detect has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              mxnet_mtcnn_head_detect code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              mxnet_mtcnn_head_detect does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              mxnet_mtcnn_head_detect releases are not available. You will need to build from source code and install.
              mxnet_mtcnn_head_detect has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              mxnet_mtcnn_head_detect saves you 918 person hours of effort in developing the same functionality from scratch.
              It has 2096 lines of code, 96 functions and 37 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed mxnet_mtcnn_head_detect and discovered the below as its top functions. This is intended to give you an instant insight into mxnet_mtcnn_head_detect implemented functionality, and help decide if they suit your requirements.
            • Predict the given data
            • Forward computation
            • Load checkpoint
            • Load parameters from checkpoint
            • Convert the given context into a dictionary
            • Predict outputs
            • Returns the next batch
            • Get a batch of data
            • Get testbatch data and label
            • Get pad padding
            • Get current index
            • Iterate over the next iteration
            Get all kandi verified functions for this library.

            mxnet_mtcnn_head_detect Key Features

            No Key Features are available at this moment for mxnet_mtcnn_head_detect.

            mxnet_mtcnn_head_detect Examples and Code Snippets

            No Code Snippets are available at this moment for mxnet_mtcnn_head_detect.

            Community Discussions

            No Community Discussions are available at this moment for mxnet_mtcnn_head_detect.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install mxnet_mtcnn_head_detect

            You can download it from GitHub.
            You can use mxnet_mtcnn_head_detect 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.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            https://github.com/Qidian213/mxnet_mtcnn_head_detect.git

          • CLI

            gh repo clone Qidian213/mxnet_mtcnn_head_detect

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            git@github.com:Qidian213/mxnet_mtcnn_head_detect.git

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