BlobDetector | A Color Blob Detector for Android using OpenCV | Computer Vision library

by W4RH4WK Java Version: Current License: No License

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

kandi X-RAY | BlobDetector Summary

BlobDetector is a Java library typically used in Artificial Intelligence, Computer Vision, OpenCV applications. BlobDetector has no bugs, it has no vulnerabilities and it has low support. However BlobDetector build file is not available. You can download it from GitHub.

A Color Blob Detector for Android using OpenCV

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Quality

Security

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Support

BlobDetector has a low active ecosystem.

It has 4 star(s) with 2 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

BlobDetector has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of BlobDetector is current.

Quality

BlobDetector has no bugs reported.

Security

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

License

BlobDetector does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

BlobDetector 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.

Top functions reviewed by kandi - BETA

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

On camera frame .
Calculate camera s camera parameters .
Finds blobs in the image using the given color tolerance .
Set robotGri .
Do the robot forward .
Run the capture ball .
set touch event
Calculates the homography
Return the Euclidean distance .
Returns the cent coordinates of this blob .

Get all kandi verified functions for this library.

BlobDetector Key Features

No Key Features are available at this moment for BlobDetector.

BlobDetector Examples and Code Snippets

No Code Snippets are available at this moment for BlobDetector.

Community Discussions

Trending Discussions on BlobDetector

OpenCV Stereo Camera Calibration Error: Assertion failed

QUESTION

OpenCV Stereo Camera Calibration Error: Assertion failed

Asked 2018-Sep-09 at 19:26

I know this question was asked a few Times, but the answers doesn't solve my problem.

I want to calibrate a pair of Cameras to use as Stereo Input. But when I run the code I get the error Message :

OpenCV(3.4.1) Error: Assertion failed (nimages > 0 && nimages == (int)imagePoints1.total() && (!imgPtMat2 || nimages == (int)imagePoints2.total())) in collectCalibrationData, file /tmp/opencv-20180529-49540-yj8rbk/opencv-3.4.1/modules/calib3d/src/calibration.cpp, line 3133 Traceback (most recent call last): File "/Users/MyName/Pycharm/Project/calibration.py", line 342, in TERMINATION_CRITERIA ) cv2.error: OpenCV(3.4.1) /tmp/opencv-20180529-49540-yj8rbk/opencv-3.4.1/modules/calib3d/src/calibration.cpp:3133: error: (-215) nimages > 0 && nimages == (int)imagePoints1.total() && (!imgPtMat2 || nimages == (int)imagePoints2.total()) in function collectCalibrationData My Code is :

...

ANSWER

Answered 2018-Sep-09 at 17:13

You said you are doing stereo calibration, is there any case where some of the points on your grid does not visible from other camera? This error may appear when one of your view unable to detect all points on the calibration pattern. Three points to consider are
1- Make sure your object points are 3d
2- Make sure your left points, right points and object points have same size (number of views).
3- Make sure your left points, right points and object points have same amount of points at each index of list.

Edit: Your object points objp must contain a list/vector of 3d points, currently its shape is something like (44, 3), it must be (NUM_IMAGES, 44, 3). You can achieve this with objp = np.repeat(objp[np.newaxis, :, :], NUM_IMAGES, axis=0)

Source https://stackoverflow.com/questions/52245570

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

Vulnerabilities

No vulnerabilities reported

Install BlobDetector

You can download it from GitHub.
You can use BlobDetector like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the BlobDetector component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

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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