mxnet-ssd | MXNet port of SSD : Single Shot MultiBox Object Detector | Computer Vision library

by zhreshold Python Version: v0.7-alpha License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | mxnet-ssd Summary

mxnet-ssd is a Python library typically used in Artificial Intelligence, Computer Vision, Tensorflow applications. mxnet-ssd has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However mxnet-ssd build file is not available. You can download it from GitHub.

MXNet port of SSD: Single Shot MultiBox Object Detector. Reimplementation of

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Quality

Security

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Support

mxnet-ssd has a medium active ecosystem.

It has 766 star(s) with 353 fork(s). There are 50 watchers for this library.

It had no major release in the last 12 months.

There are 93 open issues and 139 have been closed. On average issues are closed in 69 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of mxnet-ssd is v0.7-alpha

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 available to install and integrate.

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.

Top functions reviewed by kandi - BETA

kandi has reviewed mxnet-ssd and discovered the below as its top functions. This is intended to give you an instant insight into mxnet-ssd implemented functionality, and help decide if they suit your requirements.

Train the network
Calculate learning rate based on refactor
Convert pretrained parameter
Prints info about the dataset
Convert a proto file to a script
Convert a convolution layer to a string
Reads a solver file
Find a layer by name
Updates the feature with the given labels
Parse command line arguments
Evaluate a network
Displays a list of anns
Load COCO
Sample the given label
Load all images
Saves the image to disk
Loads PascalVoc
Load image labels
Get a detector object
Detect and visualize images using cv2
Evaluate detections
Convert a file to ND array
Downloads all images
Get the metric name and values
Convert a Config object into a dictionary
Parse class names

Get all kandi verified functions for this library.

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

Trending Discussions on mxnet-ssd

OSError: [WinError 126] module could not be found

QUESTION

OSError: [WinError 126] module could not be found

Asked 2019-Oct-22 at 16:37

I am trying to run MXNet port of SSD in python but I am facing a strange error when I run the demo saying

...

ANSWER

Answered 2019-Feb-25 at 21:00

Ok finally solved!

I got to know that such error could be thrown when the file dependencies are not satisfied or not found. So to check the dependencies you go first to Visual Studio Prompt and then navigate to the folder where libmxnet.dll exists and run the following command

dumpbin /dependents libmxnet.dll

and it will show you a list of required files.

What was missing in my case are some of nVidia GPU Computing Toolkit files Cuda 9.0 as libmxnet.dll asks for them and I was having toolkit version 10.0 instead!

Source https://stackoverflow.com/questions/54870595

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, but highly recommanded.
Option #1 - install using 'Docker'. if you are not familiar with this technology, there is a 'Docker' section below. you can get the latest image:
You will need python modules: cv2, matplotlib and numpy. If you use mxnet-python api, you probably have already got them. You can install them via pip or package manegers, such as apt-get:
Clone this repo:
(Skip this step if you have offcial MXNet installed.) Build MXNet: cd /path/to/mxnet-ssd/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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