m2det | M2Det implementation using TensorFlow | Machine Learning library

by tadax Python Version: Current License: MIT

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

kandi X-RAY | m2det Summary

m2det is a Python library typically used in Artificial Intelligence, Machine Learning, Tensorflow applications. m2det has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However m2det build file is not available. You can download it from GitHub.

An implementation of Q Zhao et al., "M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network", 2019 using TensorFlow.

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Quality

Security

License

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Support

m2det has a low active ecosystem.

It has 66 star(s) with 29 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 12 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of m2det is current.

Quality

m2det has 0 bugs and 0 code smells.

Security

m2det has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

m2det code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

m2det 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

m2det releases are not available. You will need to build from source code and install.

m2det 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 m2det and discovered the below as its top functions. This is intended to give you an instant insight into m2det implemented functionality, and help decide if they suit your requirements.

Builds the convolution layer
Flattens the layer
Batch normalization
2D convolutional layer
Augment the image using randomization
Randomly crop a box
Randomly flip boxes
Scale image
Detects images within the image
Preprocess input image
Decode bounding boxes
Returns a tuple of classes and colors
Calculate the loss
Calculate the loss of the loss
Calculate box loss
Calculate precision
Calculate the intersection of two boxes
Return the class name for a given index
Return the class index for a given class name
Bottleneck block layer
Calculate the NMS of the results
Get images from the queue
Assigns a set of boxes to the given priors
Draw the results
Generate a set of boxes
Start the worker

Get all kandi verified functions for this library.

m2det Key Features

No Key Features are available at this moment for m2det.

m2det Examples and Code Snippets

No Code Snippets are available at this moment for m2det.

Community Discussions

Trending Discussions on m2det

What is the difference between (self) and (self,) in python method?

QUESTION

What is the difference between (self) and (self,) in python method?

Asked 2020-Mar-04 at 06:13

Let's see a code sentence def consturct_modules(self,):.

I have a simple question about why this method defines (self) as (self,).

It seems to me that (self) is proper form.

What is the difference?

...

ANSWER

Answered 2020-Mar-04 at 06:08

No difference in terms of function. Trailing comma in function argument lists is allowed starting from Python 3.6. See: https://bugs.python.org/issue9232

In terms of style, the trailing comma is not recommended in this particular case. See: Should I add a trailing comma after the last argument in a function call?

Source https://stackoverflow.com/questions/60519848

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

Vulnerabilities

No vulnerabilities reported

Install m2det

You can download it from GitHub.
You can use m2det 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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