opencv-fun | Small OpenCV testbed to try out some ideas

by badlogic Java Version: Current License: AGPL-3.0

X-Ray Key Features Code Snippets Community Discussions(7)Vulnerabilities Install Support

kandi X-RAY | opencv-fun Summary

opencv-fun is a Java library typically used in User Interface, OpenCV, JavaFX applications. opencv-fun has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However opencv-fun build file is not available. You can download it from GitHub.

Small OpenCV testbed to try out some ideas.

Support

Quality

Security

License

Reuse

Support

opencv-fun has a low active ecosystem.

It has 43 star(s) with 21 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 1405 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of opencv-fun is current.

Quality

opencv-fun has 0 bugs and 0 code smells.

Security

opencv-fun has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

opencv-fun code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

opencv-fun is licensed under the AGPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

opencv-fun releases are not available. You will need to build from source code and install.

opencv-fun has no build file. You will be need to create the build yourself to build the component from source.

opencv-fun saves you 11548 person hours of effort in developing the same functionality from scratch.

It has 23356 lines of code, 132 functions and 35 files.

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

Top functions reviewed by kandi - BETA

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

Initializes the camera
Adds a button to the window
Adds a label to the window
Update camera
Converts a matrix to a buffered image
Sets the image to be buffered
Start the application
Call this method to process the camera
Updates the background image
Extracts the ball and clusters inside the given mask
Update the diff
Creates a bitmask for the specified camera
Initialize the screen
Adds a slider to the window
Updates the camera view
Updates the ball detector
Move the screen to the specified display position
Initialize camera view
Detect motion detection
Reset the focus

Get all kandi verified functions for this library.

opencv-fun Key Features

No Key Features are available at this moment for opencv-fun.

opencv-fun Examples and Code Snippets

No Code Snippets are available at this moment for opencv-fun.

Community Discussions

Trending Discussions on opencv-fun

Find rails and their corresponding course using OpenCV in Python

OpenCV - undefined reference to 'cv::CascadeClassifier::detectMultiScale() after NDK update

Exception when showing an Image with OpenCV

Error while running exe builded with cmake

How to fix opencv import for TVL1 opticalflow algorithm

OpenCV+python: HoughLines accumulator access since 3.4.2

OpenCV 3.2 for python with CUDA in Windows

QUESTION

Find rails and their corresponding course using OpenCV in Python

Asked 2021-Apr-23 at 12:49

I am working on a detection of LEGO City Rails to obtain if there is a curve and and whats the curve radius or angle.

As you can see I already cropped the picture. I also used different algorithms for edge detection like canny or just sobel operators.

Unfortunately the railroad ties make it really hard to detect the curve properly. I already tried hough transform, but this doesn't work well. Also the OpenCV-function cv2.findContours doesn't work very well.

The following picture shows my current status which uses Canny Edge Detection. The red lines in the picture show the lines generated by the probablistic Hough-Transform. I already removed all horizontal lines and all lines with an angle smaller than 10 degree generated by the hough transform.

Why doesn't the hough transform detect all lines in this picture?

Do you guys have any suggestions how I can detect the rails properly?

Thank you in advance!

...

ANSWER

Answered 2021-Apr-23 at 12:49

import cv2
import numpy as np

def empty(a):
    pass


path = 'media/SVIi0.png'
cv2.namedWindow("TrackBars")
cv2.resizeWindow("TrackBars",640,240)
cv2.createTrackbar("Hue Min","TrackBars",11,179,empty)
cv2.createTrackbar("Hue Max","TrackBars",66,179,empty)
cv2.createTrackbar("Sat Min","TrackBars",0,255,empty)
cv2.createTrackbar("Sat Max","TrackBars",255,255,empty)
cv2.createTrackbar("Val Min","TrackBars",21,255,empty)
cv2.createTrackbar("Val Max","TrackBars",255,255,empty)

while True:
    img = cv2.imread(path)
    imgHSV = cv2.cvtColor(img,cv2.COLOR_BGR2HSV)
    h_min = cv2.getTrackbarPos("Hue Min","TrackBars")
    h_max = cv2.getTrackbarPos("Hue Max", "TrackBars")
    s_min = cv2.getTrackbarPos("Sat Min", "TrackBars")
    s_max = cv2.getTrackbarPos("Sat Max", "TrackBars")
    v_min = cv2.getTrackbarPos("Val Min", "TrackBars")
    v_max = cv2.getTrackbarPos("Val Max", "TrackBars")
    print(h_min,h_max,s_min,s_max,v_min,v_max)
    lower = np.array([h_min,s_min,v_min])
    upper = np.array([h_max,s_max,v_max])
    mask = cv2.inRange(imgHSV,lower,upper)
    imgResult = cv2.bitwise_and(img,img,mask=mask)


    cv2.imshow("Mask Images", mask)
    cv2.imshow("Original Images", img)

    cv2.waitKey(1)

Source https://stackoverflow.com/questions/67225978

QUESTION

OpenCV - undefined reference to 'cv::CascadeClassifier::detectMultiScale() after NDK update

Asked 2019-Nov-23 at 20:42

Yesterday I updated my Android Studio included NDK to version 17.0.4754217and since then I can't run my app anymore. When I tried to rerun the code after the update it gave me the error ABIs [mips64, armeabi, mips] are not supported for platform. Supported ABIs are [armeabi-v7a, arm64-v8a, x86, x86_64] so I excluded them from the project in my app.gradle file the following way: abiFilters 'x86', 'x86_64', /*'armeabi',*/ 'armeabi-v7a', 'arm64-v8a'/*, 'mips', 'mips64'*/.

However, since then I'm having a problem with the C++-file where I use the OpenCV-function cv::CascadeClassifier::detectMultiScale.

It always displays the error: CMakeFiles/native-lib.dir/src/main/cpp/native-lib.cpp.o: In function detectAndDisplay(cv::Mat, double, int, std::__ndk1::basic_string, std::__ndk1::allocator >, cv::CascadeClassifier&)': D:\Schule\OpenCV\ARcpp\app\src\main\cpp/native-lib.cpp:158: undefined reference to cv::CascadeClassifier::detectMultiScale(cv::_InputArray const&, std::__ndk1::vector, std::__ndk1::allocator > >&, double, int, int, cv::Size_, cv::Size_)'.

I call the function like this: cascadeClassifier.detectMultiScale(frame_gray, sights, scaleFactor, minNeighbours, 0 | CV_HAAR_SCALE_IMAGE, Size(30, 30));. The rest of the code is pretty much like shown in the OpenCV-tutorial https://docs.opencv.org/2.4/doc/tutorials/objdetect/cascade_classifier/cascade_classifier.html.

Additionally to the NDK I use CMake and LLDB and my included OpenCV-library is openCVLibrary320. Again, all of this worked until I downloaded the mentioned NDK update.

The rest of the error that always appears on building or executing the app is: Build command failed. Error while executing process C:\Users\chris\AppData\Local\Android\Sdk\cmake\3.6.4111459\bin\cmake.exe with arguments {--build D:\Schule\OpenCV\ARcpp\app\.externalNativeBuild\cmake\debug\arm64-v8a --target native-lib} [1/1] Linking CXX shared library ..\..\..\..\build\intermediates\cmake\debug\obj\arm64-v8a\libnative-lib.so FAILED: cmd.exe /C "cd . && C:\Users\chris\AppData\Local\Android\Sdk\ndk-bundle\toolchains\llvm\prebuilt\windows-x86_64\bin\clang++.exe --target=aarch64-none-linux-android --gcc-toolchain=C:/Users/chris/AppData/Local/Android/Sdk/ndk-bundle/toolchains/aarch64-linux-android-4.9/prebuilt/windows-x86_64 --sysroot=C:/Users/chris/AppData/Local/Android/Sdk/ndk-bundle/sysroot -fPIC -isystem C:/Users/chris/AppData/Local/Android/Sdk/ndk-bundle/sysroot/usr/include/aarch64-linux-android -D__ANDROID_API__=21 -g -DANDROID -ffunction-sections -funwind-tables -fstack-protector-strong -no-canonical-prefixes -Wa,--noexecstack -Wformat -Werror=format-security -std=c++11 -std=c++11 -frtti -fexceptions -O0 -fno-limit-debug-info -Wl,--exclude-libs,libgcc.a -Wl,--exclude-libs,libatomic.a -nostdlib++ --sysroot C:/Users/chris/AppData/Local/Android/Sdk/ndk-bundle/platforms/android-21/arch-arm64 -Wl,--build-id -Wl,--warn-shared-textrel -Wl,--fatal-warnings -LC:/Users/chris/AppData/Local/Android/Sdk/ndk-bundle/sources/cxx-stl/llvm-libc++/libs/arm64-v8a -Wl,--no-undefined -Wl,-z,noexecstack -Qunused-arguments -Wl,-z,relro -Wl,-z,now -shared -Wl,-soname,libnative-lib.so -o ..\..\..\..\build\intermediates\cmake\debug\obj\arm64-v8a\libnative-lib.so CMakeFiles/native-lib.dir/src/main/cpp/native-lib.cpp.o -llog ../../../../src/main/jniLibs/arm64-v8a/libopencv_java3.so -latomic -lm "C:/Users/chris/AppData/Local/Android/Sdk/ndk-bundle/sources/cxx-stl/llvm-libc++/libs/arm64-v8a/libc++_static.a" "C:/Users/chris/AppData/Local/Android/Sdk/ndk-bundle/sources/cxx-stl/llvm-libc++/libs/arm64-v8a/libc++abi.a" && cd ." clang++.exe: error: linker command failed with exit code 1 (use -v to see invocation) ninja: build stopped: subcommand failed.

I`m really lost, hopefully someone knows an answer.

...

ANSWER

Answered 2018-May-13 at 17:13

When linkin opencv with your project executables, you always have to link with the general library -lopencv_core. But some packages require additional link flags. For example, if you use highgui as in

Source https://stackoverflow.com/questions/50315422

QUESTION

Exception when showing an Image with OpenCV

Asked 2019-Sep-30 at 00:36

I try to show an Image with the OpenCV-function 'imshow()'.

...

ANSWER

Answered 2019-Jul-18 at 21:28

I found the solution, the Problem was, that my Code depends in another function from < this is a ROS Specific lib. This lib uses Opencv 2.3. I head to use a fork, where someone ported this lib to OpenCV 4 here. Now the whole thing works just fine!

Source https://stackoverflow.com/questions/57100214

QUESTION

Error while running exe builded with cmake

Asked 2019-Jul-15 at 07:06

I'm discovering OpenCV v4.1. I downloaded ready to go build version, and unpacked it into my C drive. I'm using VS studio 16 along with cmake to build project. I generate files using Ninja.

That's how my cmake looks like atm:

...

ANSWER

Answered 2019-Jul-11 at 12:45

You can use the find_package() and set() functions to specify the path of your opencv directory and include the directories.

This is what my CMake looks like in Ubuntu.

Source https://stackoverflow.com/questions/56987859

QUESTION

How to fix opencv import for TVL1 opticalflow algorithm

Asked 2019-May-16 at 07:36

I'm asking you a very simple question. I want to use the TVL1 function for computing opticalflow with openCV (and python). But here is what I get :

...

ANSWER

Answered 2019-Apr-01 at 09:06

I found the solution here.

The way to call the function is different with the latest openCV version. Here is what to do :

Replace

Source https://stackoverflow.com/questions/55451107

QUESTION

OpenCV+python: HoughLines accumulator access since 3.4.2

Asked 2018-Sep-11 at 15:57

In OpenCV 3.4.2 the option to return the number of votes (accumulator value) for each line returned by HoughLines() was added. In python this seems to be supported as well as read in the python docstring of my OpenCV installation:

"Each line is represented by a 2 or 3 element vector (ρ, θ) or (ρ, θ, votes) ."

It is also included in the docs (with some broken formatting). However I can find no way to return the 3 element option (ρ, θ, votes) in python. Here is code demonstrating the problem:

...

ANSWER

Answered 2018-Sep-11 at 15:57

As of vanilla OpenCV 3.4.3, you can't use this functionality from Python.

How it Works in C++

First of all in the implementation of HoughLines, we can see code that selects the type of the output array lines:

Source https://stackoverflow.com/questions/52276295

QUESTION

OpenCV 3.2 for python with CUDA in Windows

Asked 2018-Jun-21 at 16:46

I build opencv3.2 with cmake and Visual Studio 12 (2013) with CUDA support and python3.5. All the libraries were build successfully and I can run opencv commands with python.

Here is the output from the command print(cv2.getBuildInformation())

...

ANSWER

Answered 2018-Jun-21 at 16:46

I was able to find a way to get cuda support for OpenCV python by following the tutorial in here (I did not test that). As far as I know GPUMat is not available. But UMat is available for python which can be used to access OpenCL.
As described in this answer, UMat is

A unified abstraction cv::UMat that enables the same APIs to be implemented using CPU or OpenCL code, without a requirement to call OpenCL accelerated version explicitly. These functions use an OpenCL-enabled GPU if exists in the system, and automatically switch to CPU operation otherwise.

As described in OpenCL section here, you just have to change normal matrices (in python np.ndarrays) to UMats (in python cv2.UMat) to get the OpenCL support.

But what I do when I need cuda support is, I write that part as a function in c++ with cuda support. I make that function to take a cv::Mat image as the argument and return a cv::Mat as result.

Then write a python wrapper for that function as described here.
That is a bit old code. But it worked for me on python 3.5 and python 2.7 with OpenCV 3.4

Source https://stackoverflow.com/questions/44473170

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

Vulnerabilities

No vulnerabilities reported

Install opencv-fun

You can download it from GitHub.
You can use opencv-fun 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 opencv-fun 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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