The package provides new OpenCV SDK that uses OpenCV Manager for library initialization. OpenCV Manager provides the following benefits:
* Less memory usage. All apps use the same binaries from service and do not keep native libs inside them self;
* Hardware specific optimizations for all supported platforms;
* Trusted OpenCV library source. All packages with OpenCV are published on Google Play service;
* Regular updates and bug fixes;
Package consists from Library Project for Java development with Eclipse, C++ headers and libraries for native application development, javadoc samples and prebuilt binaries for ARM and X86 platforms.
To try new SDK on serial device with Google Play just install sample package and follow application messages (Google Play service access will be needed).
TO start example on device without Google Play you need to install OpenCV manager package and OpenCV binary pack for your platform from apk folder before.
See docs/doc/tutorials/introduction/android_binary_package/android_binary_package.html and docs/android/refmain.html for details about service.
On-line documentation will be available at address: http://docs.opencv.org/trunk
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Contacts
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Please send all feedback to Alexander Smorkalov mailto: alexander.smorkalov@itseez.com
@ -50,8 +50,8 @@ The structure of package contents looks as follows:
OpenCV-2.4.3-android-sdk
|_ apk
| |_ OpenCV_2.4.3_binary_pack_XXX.apk
| |_ OpenCV_2.4.3_Manager.apk
| |_ OpenCV_2.4.3_binary_pack_armv7a.apk
| |_ OpenCV_2.4.3_Manager_2.0_XXX.apk
|
|_ doc
|_ samples
@ -85,8 +85,8 @@ The structure of package contents looks as follows:
On production devices that have access to Google Play Market (and Internet) these packages will be
installed from Market on the first start of an application using OpenCV Manager API.
But devkits without Market or Internet connection require this packages to be installed manually.
Install the `Manager.apk` and the corresponding `binary_pack.apk` depending on the device CPU,
the Manager GUI provides this info. Below you'll see exact commands on how to do this.
Install the `Manager.apk` and optional `binary_pack.apk` if it needed.
See :ref:`manager_selection` for details.
..note:: Installation from Internet is the preferable way since OpenCV team may publish updated
versions of this packages on the Market.
@ -280,21 +280,7 @@ Well, running samples from Eclipse is very simple:
To get rid of the message you will need to install `OpenCV Manager` and the appropriate `OpenCV binary pack`.
Simply tap :menuselection:`Yes` if you have *Google Play Market* installed on your device/emulator. It will redirect you to the corresponding page on *Google Play Market*.
If you have no access to the *Market*, which is often the case with emulators - you will need to install the packages from OpenCV4Android SDK folder manually. Open the console/terminal and type in the following two commands:
:alt:Run these commands in the console to install OpenCV Manager
:align:center
When done, you will be able to run OpenCV samples on your device/emulator seamlessly.
If you have no access to the *Market*, which is often the case with emulators - you will need to install the packages from OpenCV4Android SDK folder manually. See :ref:`manager_selection` for details.
* Here is ``Tutorial 2 - Use OpenCV Camera`` sample, running on top of stock camera-preview of the emulator.
@ -54,20 +54,8 @@ Using async initialization is a **recommended** way for application development.
:alt:Add dependency from OpenCV library
:align:center
To run OpenCV Manager-based application for the first time you need to install package with the `OpenCV Manager` for your platform. Armeabi, Armeabi-v7a with NEON, x86 and MIPS achitectures supported.
You can do it using Google Play Market or manually with ``adb`` tool:
In most cases OpenCV Manager may be installed automatically from Google Play. For such case, when Google Play is not available, i.e. emulator, developer board, etc, you can
install it manually using adb tool. See :ref:`manager_selection` for details.
There is a very base code snippet implementing the async initialization. It shows basic principles. See the "15-puzzle" OpenCV sample for details.
@ -137,7 +137,7 @@ Finds contours in a binary image.
:param contours:Detected contours. Each contour is stored as a vector of points.
:param hierarchy:Optional output vector containing information about the image topology. It has as many elements as the number of contours. For each contour ``contours[i]`` , the elements ``hierarchy[i][0]`` , ``hiearchy[i][1]`` , ``hiearchy[i][2]`` , and ``hiearchy[i][3]`` are set to 0-based indices in ``contours`` of the next and previous contours at the same hierarchical level: the first child contour and the parent contour, respectively. If for a contour ``i`` there are no next, previous, parent, or nested contours, the corresponding elements of ``hierarchy[i]`` will be negative.
:param hierarchy:Optional output vector, containing information about the image topology. It has as many elements as the number of contours. For each i-th contour ``contours[i]`` , the elements ``hierarchy[i][0]`` , ``hiearchy[i][1]`` , ``hiearchy[i][2]`` , and ``hiearchy[i][3]`` are set to 0-based indices in ``contours`` of the next and previous contours at the same hierarchical level, the first child contour and the parent contour, respectively. If for the contour ``i`` there are no next, previous, parent, or nested contours, the corresponding elements of ``hierarchy[i]`` will be negative.
:param mode:Contour retrieval mode (if you use Python see also a note below).
Andrey Kamaev
12 years ago
