Detectron-PYTORCH | Play with state-of-the-art pedestrian detectors

by CharlesShang Python Version: Current License: Apache-2.0

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

kandi X-RAY | Detectron-PYTORCH Summary

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

Play with state-of-the-art pedestrian detectors.

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Quality

Security

License

Reuse

Support

Detectron-PYTORCH has a low active ecosystem.

It has 29 star(s) with 8 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 0 have been closed. On average issues are closed in 682 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Detectron-PYTORCH is current.

Quality

Detectron-PYTORCH has 0 bugs and 0 code smells.

Security

Detectron-PYTORCH has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Detectron-PYTORCH code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Detectron-PYTORCH is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

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

Detectron-PYTORCH 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.

Detectron-PYTORCH saves you 9083 person hours of effort in developing the same functionality from scratch.

It has 18582 lines of code, 1148 functions and 139 files.

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

Top functions reviewed by kandi - BETA

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

Encode bboxes
Transform boxes
Compute the bounding box inside the given boxes
Log a masked maskrcnn
Evaluate the given list of images
Ensures that the given path exists
Compute the mean average of APM
Evaluate matches
Get a list of city names from the user
MousePressEvent handler
Load COCO annotations from mat file
Loads COCO
Parse and return a profile
Prune the nodes at the given threshold
Parse the call graph
Handle mouse release events
Center crop2 image
Create a data layer
Select available cities
Sum the evaluation results
Parse command line arguments
Render a graph
Compute detection
Sample the RPN outputs
Parse the gprof file
Summarize parameters

Get all kandi verified functions for this library.

Detectron-PYTORCH Key Features

No Key Features are available at this moment for Detectron-PYTORCH.

Detectron-PYTORCH Examples and Code Snippets

No Code Snippets are available at this moment for Detectron-PYTORCH.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install Detectron-PYTORCH

Compiling libs cd ./libs make
citypersons and cityscape dataset: download coco and extract zips under ./data/citypersons/, so your dirs look like, ./data/ data/citypersons/{annotations} data/citypersons/cityscape data/citypersons/cityscape/leftImg8bit/{train|val|test} data/citypersons/cityscape/gtFine/{train|val|test}

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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