mxnet-ssd | unified framework for object detection

by PeterouZh Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | mxnet-ssd Summary

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

SSD is an unified framework for object detection with a single network. You can use the code to train/evaluate/test for object detection task.

Support

Quality

Security

License

Reuse

Support

mxnet-ssd has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

mxnet-ssd has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of mxnet-ssd is current.

Quality

mxnet-ssd has no bugs reported.

Security

mxnet-ssd has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

mxnet-ssd is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

mxnet-ssd releases are not available. You will need to build from source code and install.

mxnet-ssd has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

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mxnet-ssd Key Features

No Key Features are available at this moment for mxnet-ssd.

mxnet-ssd Examples and Code Snippets

No Code Snippets are available at this moment for mxnet-ssd.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install mxnet-ssd

Remember to enable CUDA if you want to be able to train, since CPU training is insanely slow. Using CUDNN is optional, it's not fully tested but should be fine.
You will need python modules: easydict, cv2, matplotlib and numpy. You can install them via pip or package manegers, such as apt-get:
Clone this repo:
Build MXNet: cd $REPO_ROOT/mxnet. Follow the official instructions here.

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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