kitti-object-eval-python | Fast kitti object detection eval in python
kandi X-RAY | kitti-object-eval-python Summary
kandi X-RAY | kitti-object-eval-python Summary
kitti-object-eval-python is a Python library. kitti-object-eval-python has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However kitti-object-eval-python build file is not available. You can download it from GitHub.
Fast kitti object detection eval in python(finish eval in less than 10 second)
Fast kitti object detection eval in python(finish eval in less than 10 second)
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kitti-object-eval-python has a low active ecosystem.
It has 121 star(s) with 29 fork(s). There are 4 watchers for this library.
It had no major release in the last 6 months.
There are 10 open issues and 2 have been closed. On average issues are closed in 8 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of kitti-object-eval-python is current.
Quality
kitti-object-eval-python has 0 bugs and 0 code smells.
Security
kitti-object-eval-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
kitti-object-eval-python code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
kitti-object-eval-python is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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kitti-object-eval-python releases are not available. You will need to build from source code and install.
kitti-object-eval-python 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.
kitti-object-eval-python saves you 600 person hours of effort in developing the same functionality from scratch.
It has 1397 lines of code, 53 functions and 4 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed kitti-object-eval-python and discovered the below as its top functions. This is intended to give you an instant insight into kitti-object-eval-python implemented functionality, and help decide if they suit your requirements.
- Get kitti image
- Add difficulty to annotations
- Read label annotation file
- Get path to kitti info
- Removes kitti annotations from an annotation
- Compute the intersection between two boxes
- Compute the intersection of two boxes
- R Calculates the area of a box
- Compute the intersection of two line segments
- Rotate the kernel kernel
- R Return the intersection between two quadrilateral segments
- Check if point is in quadrilateral
- Rotate between two boxes
- Evaluate the label annotation
- Evaluate CoCoE evaluation results
- Evaluate v2
- Evaluate CoCo - style Coefficient
Get all kandi verified functions for this library.
kitti-object-eval-python Key Features
No Key Features are available at this moment for kitti-object-eval-python.
kitti-object-eval-python Examples and Code Snippets
No Code Snippets are available at this moment for kitti-object-eval-python.
Community Discussions
No Community Discussions are available at this moment for kitti-object-eval-python.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install kitti-object-eval-python
You can download it from GitHub.
You can use kitti-object-eval-python 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.
You can use kitti-object-eval-python 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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