yolov3_tensorflow_python3 | yolov3的Tensorflow实现 -- 基于Python3

 by   qq751220449 Python Version: Current License: No License

kandi X-RAY | yolov3_tensorflow_python3 Summary

kandi X-RAY | yolov3_tensorflow_python3 Summary

yolov3_tensorflow_python3 is a Python library. yolov3_tensorflow_python3 has no bugs, it has no vulnerabilities and it has low support. However yolov3_tensorflow_python3 build file is not available. You can download it from GitHub.

yolov3的Tensorflow实现--基于Python3
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            kandi-support Support

              yolov3_tensorflow_python3 has a low active ecosystem.
              It has 4 star(s) with 1 fork(s). There are 2 watchers for this library.
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              It had no major release in the last 6 months.
              yolov3_tensorflow_python3 has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of yolov3_tensorflow_python3 is current.

            kandi-Quality Quality

              yolov3_tensorflow_python3 has no bugs reported.

            kandi-Security Security

              yolov3_tensorflow_python3 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              yolov3_tensorflow_python3 does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              yolov3_tensorflow_python3 releases are not available. You will need to build from source code and install.
              yolov3_tensorflow_python3 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.

            Top functions reviewed by kandi - BETA

            kandi has reviewed yolov3_tensorflow_python3 and discovered the below as its top functions. This is intended to give you an instant insight into yolov3_tensorflow_python3 implemented functionality, and help decide if they suit your requirements.
            • Builds a nework
            • Decode convolution
            • Convolutional convolutional layer
            • Batch normalization
            • Yolo v3
            • Apply fixed padding
            • A layer of detection layer
            • Pad inputs with padding
            • Evaluate the annotations of a given detector
            • Calculate the vocab
            • Parse a DNS record
            • Get boxes and inputs
            • Convert detection boxes into boxes
            • Calculate NMS of bounding boxes
            • Yolo block
            • Load a tf graph
            • Draw the given boxes
            • Freeze the graph to a file
            • Convert images to boxes
            • Generate a numpy ndarray from a given image
            • Compute the loss
            • R Compute the suppression of the predicted boxes
            • Convert an annotation file to an annotation file
            • Darknet layer
            • Train the model
            • Load weights from file
            • Load the coco names from a file
            Get all kandi verified functions for this library.

            yolov3_tensorflow_python3 Key Features

            No Key Features are available at this moment for yolov3_tensorflow_python3.

            yolov3_tensorflow_python3 Examples and Code Snippets

            No Code Snippets are available at this moment for yolov3_tensorflow_python3.

            Community Discussions

            No Community Discussions are available at this moment for yolov3_tensorflow_python3.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install yolov3_tensorflow_python3

            You can download it from GitHub.
            You can use yolov3_tensorflow_python3 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

            https://github.com/qq751220449/yolov3_tensorflow_python3.git

          • CLI

            gh repo clone qq751220449/yolov3_tensorflow_python3

          • sshUrl

            git@github.com:qq751220449/yolov3_tensorflow_python3.git

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