second.pytorch | SECOND for KITTI/NuScenes object detection | Computer Vision library

by traveller59 Python Version: Current License: MIT

X-Ray Key Features Code Snippets(2)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | second.pytorch Summary

second.pytorch is a Python library typically used in Artificial Intelligence, Computer Vision, Pytorch applications. second.pytorch has no vulnerabilities, it has a Permissive License and it has medium support. However second.pytorch has 9 bugs and it build file is not available. You can download it from GitHub.

"Alpha" means there may be many bugs, config format may change, spconv API may change. ONLY support python 3.6+, pytorch 1.0.0+. Tested in Ubuntu 16.04/18.04/Windows 10. If you want to train nuscenes dataset, see this.

Support

Quality

Security

License

Reuse

Support

second.pytorch has a medium active ecosystem.

It has 1612 star(s) with 714 fork(s). There are 46 watchers for this library.

It had no major release in the last 6 months.

There are 285 open issues and 188 have been closed. On average issues are closed in 54 days. There are 9 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of second.pytorch is current.

Quality

second.pytorch has 9 bugs (4 blocker, 0 critical, 3 major, 2 minor) and 640 code smells.

Security

second.pytorch has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

second.pytorch code analysis shows 0 unresolved vulnerabilities.

There are 2 security hotspots that need review.

License

second.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

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

second.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.

second.pytorch saves you 9876 person hours of effort in developing the same functionality from scratch.

It has 20124 lines of code, 887 functions and 132 files.

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

Top functions reviewed by kandi - BETA

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

Prepare a pointcloud .
Train a model .
Create target_np .
Initializes the UI .
Evaluate a single class V3 .
Get kitti image info .
Sample all the classes .
Compute statistics for the joint detection .
Draw anchors .
Fill trainval .

Get all kandi verified functions for this library.

second.pytorch Key Features

No Key Features are available at this moment for second.pytorch.

second.pytorch Examples and Code Snippets

Install

Python

Lines of Code : 16

License : Permissive (Apache-2.0)

Copy

git clone https://github.com/nutonomy/second.pytorch.git

conda create -n pointpillars python=3.7 anaconda
source activate pointpillars
conda install shapely pybind11 protobuf scikit-image numba pillow
conda install pytorch torchvision -c pytorch
con

kitti_native_evaluation

C++

Lines of Code : 1

License : No License

Copy

./evaluate_object_3d_offline groundtruth_dir result_dir

Community Discussions

Trending Discussions on second.pytorch

Caffe2 doesn't seem to see cuDNN?

QUESTION

Caffe2 doesn't seem to see cuDNN?

Asked 2019-Sep-10 at 14:45

I am trying to install SpConv (spatially sparse convolution library), however when running python3 setup.py bdist_wheel, I get an error which seems to be related to Caffe2 not being able to see cuDNN, as I infer from this message:

...

ANSWER

Answered 2019-Sep-10 at 14:45

Found the problem. I needed to set CUDNN_INCLUDE_DIR to /usr/lib/cuda/include (i.e. where the cudnn.h file is located).

Lesson learnt: take time to understand the error, missing: CUDNN_INCLUDE_DIR was key.

Source https://stackoverflow.com/questions/57856606

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

Vulnerabilities

No vulnerabilities reported

Install second.pytorch

It is recommend to use Anaconda package manager.
you need to add following environment variable for numba.cuda, you can add them to ~/.bashrc:.

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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