dodo_detector_ros | Object detection from images/point cloud using ROS | Robotics library

by douglasrizzo Python Version: v1.0.0 License: BSD-3-Clause

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

kandi X-RAY | dodo_detector_ros Summary

dodo_detector_ros is a Python library typically used in Automation, Robotics, Tensorflow, OpenCV applications. dodo_detector_ros 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.

Object detection from images/point cloud using ROS

Support

Quality

Security

License

Reuse

Support

dodo_detector_ros has a low active ecosystem.

It has 48 star(s) with 13 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 15 have been closed. On average issues are closed in 96 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of dodo_detector_ros is v1.0.0

Quality

dodo_detector_ros has 0 bugs and 0 code smells.

Security

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

dodo_detector_ros code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

dodo_detector_ros is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

dodo_detector_ros 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.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of dodo_detector_ros

Get all kandi verified functions for this library.

dodo_detector_ros Key Features

No Key Features are available at this moment for dodo_detector_ros.

dodo_detector_ros Examples and Code Snippets

No Code Snippets are available at this moment for dodo_detector_ros.

Community Discussions

Trending Discussions on dodo_detector_ros

How to add all object to an empty list in Python?

QUESTION

How to add all object to an empty list in Python?

Asked 2019-Mar-08 at 05:47

I created an empty list, output every loop, adding just one object. Once finish adding all object to the list, then repeat the same process as shown below.

I'm not sure how to add all objects in one loop?

This is outputs:

...

ANSWER

Answered 2019-Mar-07 at 05:08

You are printing the list inside the for loop. So everytime the loop iterates, it will print the list. Try to print my_tf_id outside the for loop

Source https://stackoverflow.com/questions/55035463

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

Vulnerabilities

No vulnerabilities reported

Install dodo_detector_ros

This repo is a ROS package, so it should be put alongside your other ROS packages inside the src directory of your catkin workspace. The package depends mainly on a Python package, also created by me, called dodo detector. Check the README file over there for a list of dependencies unrelated to ROS, but related to object detection in Python. Other ROS-related dependencies are listed on package.xml. If you want to use the provided launch files, you are going to need uvc_camera to start a webcam, freenect to access a Kinect for Xbox 360 or libfreenect2 and iai_kinect2 to start a Kinect for Xbox One. If you use other kinds of sensor, make sure they provided an image topic and an optional point cloud topic, which will be needed later.

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 .

Find more information at: