- Download and install Android Studio from https://developer.android.com/studio.
-- Get the latest pre-built OpenCV for Android release from https://github.com/opencv/opencv/releases and unpack it (for example, `opencv-4.1.0-android-sdk.zip`).
+- Get the latest pre-built OpenCV for Android release from https://github.com/opencv/opencv/releases and unpack it (for example, `opencv-4.1.1-android-sdk.zip`).
- Download MobileNet object detection model from https://github.com/chuanqi305/MobileNet-SSD. We need a configuration file `MobileNetSSD_deploy.prototxt` and weights `MobileNetSSD_deploy.caffemodel`.
`TAGFILES`. Change it as follows:
@code
-TAGFILES = ./docs/doxygen-tags/opencv.tag=http://docs.opencv.org/4.1.0
+TAGFILES = ./docs/doxygen-tags/opencv.tag=http://docs.opencv.org/4.1.1
@endcode
If you had other definitions already, you can append the line using a `\`:
@code
TAGFILES = ./docs/doxygen-tags/libstdc++.tag=https://gcc.gnu.org/onlinedocs/libstdc++/latest-doxygen \
- ./docs/doxygen-tags/opencv.tag=http://docs.opencv.org/4.1.0
+ ./docs/doxygen-tags/opencv.tag=http://docs.opencv.org/4.1.1
@endcode
Doxygen can now use the information from the tag file to link to the OpenCV
#define CV_VERSION_MAJOR 4
#define CV_VERSION_MINOR 1
-#define CV_VERSION_REVISION 0
-#define CV_VERSION_STATUS "-dev"
+#define CV_VERSION_REVISION 1
+#define CV_VERSION_STATUS "-pre"
#define CVAUX_STR_EXP(__A) #__A
#define CVAUX_STR(__A) CVAUX_STR_EXP(__A)
os.chdir(SCRIPT_DIR)
package_name = 'opencv'
- package_version = os.environ.get('OPENCV_VERSION', '4.1.0') # TODO
+ package_version = os.environ.get('OPENCV_VERSION', '4.1.1') # TODO
long_description = 'Open Source Computer Vision Library Python bindings' # TODO
#### How to enable backends
-There are two kinds of videoio backends: built-in backends and plugins which will be loaded at runtime (since OpenCV 4.1.0). Use functions cv::videoio_registry::getBackends, cv::videoio_registry::hasBackend and cv::videoio_registry::getBackendName to check actual presence of backend during runtime.
+There are two kinds of videoio backends: built-in backends and plugins which will be loaded at runtime (since OpenCV 4.1.1). Use functions cv::videoio_registry::getBackends, cv::videoio_registry::hasBackend and cv::videoio_registry::getBackendName to check actual presence of backend during runtime.
To enable built-in videoio backends:
1. Enable corresponding CMake option, e.g. `-DWITH_GSTREAMER=ON`
<parent>
<groupId>org.opencv</groupId>
<artifactId>opencv-parent</artifactId>
- <version>4.1.0</version>
+ <version>4.1.1</version>
</parent>
<groupId>org.opencv</groupId>
<artifactId>opencv-it</artifactId>
<parent>
<groupId>org.opencv</groupId>
<artifactId>opencv-parent</artifactId>
- <version>4.1.0</version>
+ <version>4.1.1</version>
</parent>
<groupId>org.opencv</groupId>
<artifactId>opencv</artifactId>
<modelVersion>4.0.0</modelVersion>
<groupId>org.opencv</groupId>
<artifactId>opencv-parent</artifactId>
- <version>4.1.0</version>
+ <version>4.1.1</version>
<packaging>pom</packaging>
<name>OpenCV Parent POM</name>
<licenses>