vision3d | Research platform for 3D object detection in PyTorch | Computer Vision library

by jhultman Python Version: Current License: MIT

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

kandi X-RAY | vision3d Summary

vision3d is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning, Pytorch applications. vision3d has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Research platform for 3D object detection in PyTorch.

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Quality

Security

License

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Support

vision3d has a low active ecosystem.

It has 182 star(s) with 47 fork(s). There are 20 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 26 have been closed. On average issues are closed in 110 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of vision3d is current.

Quality

vision3d has 0 bugs and 64 code smells.

Security

vision3d has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

vision3d code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

vision3d 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

vision3d releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

vision3d saves you 749 person hours of effort in developing the same functionality from scratch.

It has 1726 lines of code, 209 functions and 30 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed vision3d and discovered the below as its top functions. This is intended to give you an instant insight into vision3d implemented functionality, and help decide if they suit your requirements.

Train a model
Save ckpts to file
Update the histogram
Convert device to device
Make a list of block blocks
Make a SparseSequence layer
Create a subm layer
Generate a batch of features
Generate voxels
Calculate loss
Get all supported extensions
Compute features for a given keypoint
Collate multiple items
Load a ckpt file
Visualize detections
Get the model and preprocessor
Build data loader
Load cached annotations
Wrapper for inference
Perform the forward computation
Performs preprocessing
Build the targets and register them
Convert mesh to global vector
Inverse inference function
Make the anchors
Draw boxes

Get all kandi verified functions for this library.

vision3d Key Features

No Key Features are available at this moment for vision3d.

vision3d Examples and Code Snippets

No Code Snippets are available at this moment for vision3d.

Community Discussions

Trending Discussions on vision3d

C++ template,typename and operator<< : error: explicit instantiation of undefined function template 'operator<<'

QUESTION

C++ template,typename and operator<< : error: explicit instantiation of undefined function template 'operator<<'

Asked 2021-May-30 at 15:16

error is in the title, here is the code :

Universe.hpp:

...

ANSWER

Answered 2021-May-30 at 15:16

This is a function template you declared:

Source https://stackoverflow.com/questions/67762630

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

Vulnerabilities

No vulnerabilities reported

Install vision3d

You can download it from GitHub.
You can use vision3d 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.