SSD.Pytorch | Pytorch implementation of SSD512 | Computer Vision library

by midasklr Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | SSD.Pytorch Summary

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

Pytorch implementation of [SSD (Single Shot MultiBox Detector)]. this repository is heavily depend on this implementation ssd.pytorch.since orginal code is too old to fit the recent version of pytorch. I make some changes , fix some bugs, and give out SSD512 code.

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SSD.Pytorch has a low active ecosystem.

It has 41 star(s) with 15 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 12 open issues and 2 have been closed. On average issues are closed in 0 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of SSD.Pytorch is current.

Quality

SSD.Pytorch has 0 bugs and 33 code smells.

Security

SSD.Pytorch has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

SSD.Pytorch code analysis shows 0 unresolved vulnerabilities.

There are 8 security hotspots that need review.

License

SSD.Pytorch 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

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

SSD.Pytorch 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.

SSD.Pytorch saves you 1004 person hours of effort in developing the same functionality from scratch.

It has 2283 lines of code, 162 functions and 25 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Train the model
Add extra extra layers
Build an SSD - VGG
Load weights from file
Test the network for detection
Run python evaluation
Calculate the total elapsed time
Set the time of the simulation
Forward forward computation
Compute the log of x
Encodes matched data
Compute joint confidence intervals
Create a model from pretrained pretrained model
Create a block from arch
Returns the size of a given model
Create blocks from a model name
Create a pretrained model from pretrained images
Pulls the image at the specified index
Encode a sequence of blocks
Performs the forward computation
Forward the layer
Build a SSD - VGG
Evaluate the convolutional network
Compute nms
Wrapper for cv2
Create blocks from a given model name

Get all kandi verified functions for this library.

SSD.Pytorch Key Features

No Key Features are available at this moment for SSD.Pytorch.

SSD.Pytorch Examples and Code Snippets

No Code Snippets are available at this moment for SSD.Pytorch.

Community Discussions

Trending Discussions on SSD.Pytorch

SSD(single shot detector)'s default box implementation

ImportError: cannot import name 'voc' from 'data' (unknown location)

QUESTION

SSD(single shot detector)'s default box implementation

Asked 2020-May-03 at 07:06

I can't understand SSD's default box implementation. Original paper's formula is below;

w_k=s_k√a_k, h_k=s_k/√a_k

But many SSD's implementation seems to be different above's formula. For example, ssd.pytorch;

...

ANSWER

Answered 2020-May-03 at 07:06

I found the answer in github's issue

UPDATE:

min_sizes/img_size and max_sizes/img_size mean s_k and s_k+1 respectively. Also, conv4_3 applies s_k=0.1 instead of equation(4). Therefore, all of feature maps can't apply equation(4). So I think all of scales are defined as min_sizes and max_sizes beforehand.

Source https://stackoverflow.com/questions/61545482

QUESTION

ImportError: cannot import name 'voc' from 'data' (unknown location)

Asked 2020-Jan-24 at 20:50

I have been trying to run a code of ssd from the project https://github.com/amdegroot/ssd.pytorch.git but the above error keeps on poping up. There is some issue with the directory i guess. Please guide!!

I am trying to import the below files but unable to do it and

...

ANSWER

Answered 2020-Jan-24 at 20:50

You will need to download the project, and it should have a folder with name data, inside of it, should exists a class with this name.

Example of structure your_file.py data |_ xxx.py

Example of code of xxx.py

class BaseTransform: xxxxxx

Source https://stackoverflow.com/questions/57382368

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

Vulnerabilities

No vulnerabilities reported

Install SSD.Pytorch

You can download it from GitHub.
You can use SSD.Pytorch 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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