aruco | Easy-to-use C library for detection of squared planar | Computer Vision library
kandi X-RAY | aruco Summary
kandi X-RAY | aruco Summary
The library allows to detect squared planar markers in images. A marker is a squared element with a black border and a inner binary code inside. The set of valid codes is called dictionary. Several libraries have been proposed, and each one usually includes its own dictionary of valid markers. This version of Aruco allows to use the most famous dictionaries: ARUCO,APRILTAGS,ARTAG and ARTOOLKIT+. The library allows to estimate the pose of a camera from one or many markers. In any case, we strongly recommend to use our dictionary ARUCO_MIP_36h12, which in our opinion, is the one that has the best trade-off between size and robustness. See for more information on dictionary generation. The library also allows to use marker maps. A marker map is a set of markers placed in the environment whose location w.r.t. each other does not change. The simplest marker map supported by the library is a set of markers printed in a piece of paper. Localization in more robust since the misdetection of several markers of the map is not a problem as long as a minimum set of them are detected. Additionally, marker maps can also extend to much larger environments. Imagine you place markers in a room and you want to locate using them. Now, aruco allows you to do so using the brother library aruco_markermapper. For additional information to this README file, please visit our web page :
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QUESTION
- I have some labels which I want to make them blink in some cases, and stop blinking with specific color for their
styleSheeton other cases. - I have seen this useful answer, and adapted this part from the answer:
ANSWER
Answered 2021-Apr-22 at 09:03Thanks to @eyllanesc and @musicamante for their valuable notes the solution was:
QUESTION
I try to build the OpenCV 4.5.1 SDK for Android because I need the SDK with contrib modules and the official release [1] only has the standard modules. But the libraries I build are almost 10x larger, for example: libopencv_core.a ==> 47.6 MB self compiled, 5.3 MB from the official repository (both for arm64-v8a)
Here is my cmake command, followed by ninja for compilation.
...ANSWER
Answered 2021-Mar-23 at 12:28I found the culprit:
QUESTION
I am experimenting with the Aruco detection in a video.
I am trying to detect Aruco markers in the video frames but the detector fails to get all of them. It is a stable image, so no movement is going on in the video.
I was unable to get it working with the default detector parameters so I experimented a little bit to get the best results.
In the standard output and on the display I can see that the detector is failing to get every marker on every frame, but I don't know how to achieve better detection rates.
Here is my python code for it:
...ANSWER
Answered 2021-Mar-21 at 21:28The markers were too thick, and tha camera have seen the side faces. The algorithm probably didn't recognize the black square-like margin. I made the markers thinner so the aruco detection is now more robust. Maybe a little white margin can make the markers recognizable. I leave my question here so anyone can learn from it. I have uploaded the new video to my github.
QUESTION
I want to calculate the camera calibration parameters from the picture coordinates and object coordinates of some coded markers.
...ANSWER
Answered 2021-Mar-19 at 15:02Well the answer is quite simple:
QUESTION
I am trying to compile OpenCV for Android with contrib modules, mainly I am interested in sfm. I did a lot of research and finaly I did the following in order to support sfm:
Compiled gflags Compiled Glog Compiled Ceres
After that I used this cmake command to build and generate (partial output is given below):
...ANSWER
Answered 2021-Jan-24 at 21:16I just finished build opencv with android using this :
for ceres
QUESTION
I'm trying to detect a 3x3 Aruco board.
The code runs until the params on line 33 are met, then line 35 throws the same error regardless of how many markers are in frame (i.e. between 1 and all 9)
The output is
...ANSWER
Answered 2021-Jan-21 at 21:39Solved, if anyone else runs into this issue:
QUESTION
mat.hpp (part of)
...ANSWER
Answered 2020-Dec-10 at 13:55I found the cause of the crash which was later on when I wanted to get the values which I casted as the wrong type of values (Vecd instead of the correct Vec3b). Additionally, I was also not using "new cv::Mat()" when testing and that cause the Mat to be discarded by the C++ (and the C# pointing to random stuff).
For anyone that would like to do something similare here is my code (even if it' is heavily inspired by ArucoUnity/ArucoUnityPlugin by NormandErwan).
C++ With the following somewhere (for me it was in PatternRecognition.hpp)QUESTION
OpenCV 4.5 - Ubuntu - Jetson Nano 2GB
Hello I have a problem with getting video from my webcam (connected by USB to JetsonNano) by OpenCV
Here's my code:
...ANSWER
Answered 2020-Nov-27 at 06:41For points 1 and 2, you can test by passing the second argument to VideoCapture(filename[, apiPreference]). Since you have OpenCV built with ffmpeg and v4l2. I would try the following options cv::CAP_FFMPEG, and CAP_V4L2. For point 4, make sure your webcam is 1080p.
QUESTION
I have been trying to perform AruCo or Marker detection in unity using a customer camera that can provide a texture, this is not a regular camera so you cant use the regular webcamtexture that comes with the package, i have been trying everything that i can imagine but it just dont work for me. I have tested so many things so ill post my code for AruCo and maybe someone can help me fix this, the code dont show any errors but it also doesnt detect anything or at minimum i was expecting the rejected corners to be detected.
...ANSWER
Answered 2020-Aug-11 at 22:27The problem with the code was that the images were coming as Alpha8 texture and OpenCV works with RGB texture, so when i was converting to RGB the A part was been strip from the image which was pretty much the only content in it.
The solution was posted on this other thread: Solution to change format from Alpha8 to RGBA texture.
QUESTION
Good morning everyone. I am currently working on a project in which I have to detect object coordinates within an image with high precision. I have tried using a normal chessboard for camera calibration but the reprojection error was too high so I decided to use the Charuco calibration pattern. I am working with OpenCv 3.4 and Java (project constraint). Since the Aruco function are not included in OpenCv for Java I created a new package in my project which includes the necessary classes. The Aruco code is the one that you can find in the following link : Aruco Code Github
The code that I'm executing is the following:
...ANSWER
Answered 2020-Jul-23 at 15:07The error indicates that you have opencv package without special module you're using;
In order to fix that you'd need to either find a prebuilt opencv with module you need (in your exactly case it's lcoated in contrib library, so this probably helps.
In case you want to build it from sources - you should enable the module you want in cmake properties. For contrib - you'd need to cmake contrib project first & then enable contrib in main opencv makefile. For building opencv & contirb - please follow official documentation.
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