Pseudo_Lidar_V2 | (ICLR) Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving

by mileyan Python Version: Current License: MIT

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

kandi X-RAY | Pseudo_Lidar_V2 Summary

Pseudo_Lidar_V2 is a Python library typically used in Internet of Things (IoT), Arduino applications. Pseudo_Lidar_V2 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.

(ICLR) Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving

Support

Quality

Security

License

Reuse

Support

Pseudo_Lidar_V2 has a low active ecosystem.

It has 529 star(s) with 115 fork(s). There are 40 watchers for this library.

It had no major release in the last 6 months.

There are 17 open issues and 12 have been closed. On average issues are closed in 54 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Pseudo_Lidar_V2 is current.

Quality

Pseudo_Lidar_V2 has 0 bugs and 0 code smells.

Security

Pseudo_Lidar_V2 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Pseudo_Lidar_V2 code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Pseudo_Lidar_V2 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

Pseudo_Lidar_V2 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 are not available. Examples and code snippets are available.

It has 3144 lines of code, 217 functions and 33 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed Pseudo_Lidar_V2 and discovered the below as its top functions. This is intended to give you an instant insight into Pseudo_Lidar_V2 implemented functionality, and help decide if they suit your requirements.

R Compute the GDC from pred_depth
Convert a depth image to rectangular coordinates
Return a boolean mask
Filters out theta mask for a given point
Get kitti image info
Get path to kitti info
Get label annotation
Add difficulty to annotations
Calculate the RMSE ratio
Convert annotations to kitti labels
Generate a density map from the given velocity vector
Calculate the RMSE
Read calibration data from video
Computes the prediction of the given model
Convert a depth map to a file
Get label annotation annotations
Evaluate the model
Setup a logger
Compute the bounding box of the object
Load all images
Compute the cost function for each feature
Removes kitti annotations from an annotation
Extract rac txt files
Train the model
Compute rotation of an object
Generate a set of sparse points

Get all kandi verified functions for this library.

Pseudo_Lidar_V2 Key Features

No Key Features are available at this moment for Pseudo_Lidar_V2.

Pseudo_Lidar_V2 Examples and Code Snippets

No Code Snippets are available at this moment for Pseudo_Lidar_V2.

Community Discussions

Trending Discussions on Internet of Things (IoT)

Display data from two json files in react native

QUESTION

Display data from two json files in react native

Asked 2020-May-17 at 23:55

I have js files Dashboard and Adverts. I managed to get Dashboard to list the information in one json file (advertisers), but when clicking on an advertiser I want it to navigate to a separate page that will display some data (Say title and text) from the second json file (productadverts). I can't get it to work. Below is the code for the Dashboard and next for Adverts. Then the json files

...

ANSWER

Answered 2020-May-17 at 23:55

The new object to get params in React Navigation 5 is:

Source https://stackoverflow.com/questions/61859411

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

Vulnerabilities

No vulnerabilities reported

Install Pseudo_Lidar_V2

You can download it from GitHub.
You can use Pseudo_Lidar_V2 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.