Mac os 10.11.1 matlab 2015b insert an explicit. @amroamroamro yes i install both OpenCV 2.4.12 and OpenCV 3.0.0 with brew but i manually edit opencv.pc for OpenCV3. Mar 21, 2019 select “Computer Vision System Toolbox OpenCV Interface by MathWorks Computer Vision System Toolbox Team” and install. Note: the examples require particular compilers depending on Matlab version and operating system.
About OpenCV
Open Computer Vision (OpenCV) is an open-source BSD licensed image processing bundle. It was developed to offer a shared repository of computer vision applications while increasing machine perception in commercial products.
With over 18 million downloads, itcontains functions for all types of image processing functionality fromnecessary image decoding, enhancement, color space conversion, objectdetection, object tracking, and so on.
Mainfeatures of OpenCV
- Equipped with C++,Python, Java, and MATLAB interfaces
- Supports Windows,Linux, Android, and Mac OS
- Enhances real-timevision applications
- Written natively inC+, with a templated interface
See3CAM series and OpenCV: The perfect match
Using OpenCV Python, e-con Systems™ has developed the sample command line-based application to interface our See3CAM series 3.0 cameras. All See3CAM series of cameras are UVC compatible, and they don’t require additional drivers to be installed.
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OpenCV applications, by default, providestandard UVC controls like brightness, contrast, saturation, etc. However, theydo not support access controls like auto exposure, autofocus, and auto whitebalance – commonly known as AAA functions.
To overcome this challenge, e-con Systems™ has developed the OpenCV Python application to support both standard UVC controls and AAA functions. The application also extends the support for seamless streaming and high-quality image capture in both Windows and Linux Operating Systems.
Why See3CAMseries?
- See3CAM is the USB 3.0 camera series from e-con Systems™. These cameras are UVC-compliant that has Plug & Play support which does not require to install additional device drivers manually
- See3CAM series has a wide range of cameras from 2MP to 13MP with M12 based Fixed focus lens and Autofocus variants
- See3CAM cameras support Windows, Linux, Android, and Mac OS with sample applications
Let us dive into how to use the See3CAM camera with e-con Systems™’ OpenCV application in Python.
Opencv Mac Os Install
Tested System:
Host PC: Ubuntu-16.04 and 18.04 (Linux) and Windows 8and 10
OpenCV Version: 3.3 and 3.4.1
PythonVersion: 3.6.8
Tested e-con Cameras:
The application can support basic features suchas:
- Enumerating and listing all the connected videodevices ss
- Changing color space/compression, resolution, andframe rate for a video stream
- Capturing still images and setting the path tostore them
- Configuring UVC controls supported by the camera
Application user manual and installation guide canbe found from the following link:
https://github.com/econsystems/opencv/tree/master/Documents
To build the OpenCV Python sample application from source, refer the “OpenCV Python Installation Manual”
To run the OpenCV Python Prebuild Binary in bothWindows and Linux, you may refer to the “OpenCV Python Prebuild Usage Manual”
How to launch the application in Ubuntu:
- Open the terminal window and navigate to thedirectory “Source/PythonScript” folder path
- Run the python script with $ sudo python3main.py
The devices connected to the PC will be displayedas below:
How to launch the application in Windows:
- Open the command prompt window withscript path
- Run the python script with “Pythonmain.py”
Install Opencv In Windows
The devicesconnected to the PC will be displayed as shown below.
Opencv Mac Install
Themodified OpenCV package also has the option to access See3CAM cameras in OpenCVC++ as well.
Opencv For Mac
For more information, please contact [email protected]