DBNet | Scale Dataset for Driving Behavior Learning | Image Editing library

by driving-behavior Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | DBNet Summary

DBNet is a Python library typically used in Media, Image Editing, Deep Learning, Pytorch, Tensorflow applications. DBNet has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However DBNet build file is not available. You can download it from GitHub.

This work is based on our research paper, which appears in CVPR 2018. We propose a large-scale dataset for driving behavior learning, namely, DBNet. You can also check our dataset webpage for a deeper introduction. In this repository, we release demo code and partial prepared data for training with only images, as well as leveraging feature maps or point clouds. The prepared data are accessible here. (More demo models and scripts are released soon!).

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DBNet has a low active ecosystem.

It has 183 star(s) with 46 fork(s). There are 13 watchers for this library.

It had no major release in the last 6 months.

There are 5 open issues and 17 have been closed. On average issues are closed in 6 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of DBNet is current.

Quality

DBNet has 0 bugs and 0 code smells.

Security

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

DBNet code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

DBNet 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

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

DBNet 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.

DBNet saves you 1824 person hours of effort in developing the same functionality from scratch.

It has 4028 lines of code, 218 functions and 25 files.

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

Top functions reviewed by kandi - BETA

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

Train the GPU
Evaluate one epoch
Logs a string to the logger
Returns a list of dictionaries for training
Get a feature map from a file
Reads a file
Removes non - zero values from a fmap
Generate a feature map for the given ranges
Transpose input tensor
Creates a variable with weight decay
Batch norm for convolution
Create a variable on the CPU
Test the model
Test one epoch
3d convolutional layer
Batch norm for 2d convolutions
Test the test function
Load a single batch of images
Return natural keys from string
Reads the behavior
Read behavior
Plots predictions from a text file
Run the prediction
Get a model from a point cloud
Evaluate the model
1d convolution layer

Get all kandi verified functions for this library.

DBNet Key Features

No Key Features are available at this moment for DBNet.

DBNet Examples and Code Snippets

No Code Snippets are available at this moment for DBNet.

Community Discussions

Trending Discussions on DBNet

Error database connect is not a function Nodejs with Mysql in docker

Kubernetes how to pass conection string for MongoDb?

Docker-compose for mysql, phpmyadmin and nginx

QUESTION

Error database connect is not a function Nodejs with Mysql in docker

Asked 2022-Feb-10 at 19:39

I have deployed my docker application (to DigitalOcean). Everything work's, but I can't connect mysql with nodejs.

When I run docker-compose up I get error database.connect is not a function.

My server.js file is look like this

...

ANSWER

Answered 2022-Feb-10 at 19:39

You just need to indicate a DB container name instead of IP like this:

Source https://stackoverflow.com/questions/71069520

QUESTION

Kubernetes how to pass conection string for MongoDb?

Asked 2020-Mar-28 at 01:53

This is my appsettings.json

...

ANSWER

Answered 2020-Mar-27 at 16:57

Since mongodb is deployed as a separate pod and exposed by a service you can't use localhost or 127.0.0.1 If you have created the mongodb service in the same namespace as the app then you should use mongodb.svc.cluster.local. If mongodb service is in different namespace then use mongodb.namespacename.svc.cluster.local

Source https://stackoverflow.com/questions/60890299

QUESTION

Docker-compose for mysql, phpmyadmin and nginx

Asked 2020-Mar-07 at 05:20

I want to use a dockerized SQL database server, an additional client (here: phpmyadmin) and a reverse proxy to make the client interface reachable from outside servers.

So far I used this docker-compose file:

...

ANSWER

Answered 2020-Mar-06 at 23:58

Most likely because localhost is container-based. Have you tried putting in your host's ip address, eg:

Source https://stackoverflow.com/questions/60572950

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

Vulnerabilities

No vulnerabilities reported

Install DBNet

You can download it from GitHub.
You can use DBNet 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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