android camera image recognition

Camera Control for Android Development Currently, mobile phones generally provide camera functions. Some cameras even support more than 13 million pixels, and some even support independent focus and optical zoom. These functions are available only for slrs, even some mobile phones can be directly advertised to capture stars. It can be said that mobile phones have

The new camera API, also known as CAMERA2, was introduced in Android 5.0. In general, we use the old Android camera API, even though in Android studio always hints are obsolete, but as long as it is available, there is no need to write two sets of code separately in order to

. Although the image is compressed, there are still several hundred KB in size in a picture, which is a waste of traffic. The solution is also simple. You only need to extract the selected text area and upload it separately (but the surrounding area needs to be expanded to a certain extent). The size should be reduced by dozens of times. The client and server Source Code (including recognition engine execut

Then we need to integrate the recognition into the two-dimensional code scan. The following is a more detailed description of the two-dimensional Code scanning project Http://www.jb51.net/article/53487.htm Here are some of the main classes in the Zxing library and the role of these classes: Captureactivity. This is the starting activity, which is the scanner. Captureactivityhandler decoding processing class, is responsible for calling a

, the user feels that the simple axis scaling is much more convenient than the camera calibration.ImpressionistThe example I used was slightly extreme, because the background and pattern were very close, and the resolution was very low on the other. On the Internet search, I found a young painter's impressionist works to try:OriginalManual labelingGrabcutDetected edgesResultsIt looks pretty good ~Http://www.cnblogs.com/frombeijingwithlove/p/4226489.ht

[Java] final YuvImage image = new YuvImage (mData, ImageFormat. NV21, w, h, null); ByteArrayOutputStream OS = new ByteArrayOutputStream (mData. length); if (! Image. compressToJpeg (new Rect (0, 0, w, h), 100, OS) {return null;} byte [] tmp = OS. toByteArray (); Bitmap bmp = BitmapFactory. decodeByteArray (tmp, 0, tmp. length); because this mData is in byte [] format, the conversion process is: byte [] ---

, cheques, etc.). Configuration requirements Operating system: Support Android version 2.3 or above, recommended Android4.0 above Hardware configuration: Recommended arm cortex-a7 above, 1G RAM Camera: Supports autofocus (important), supports macro shooting, more than 2 million megapixels. Setup takes up space, 8MBytes Shooting specifications Light, attention to the i

The Android framework supports a variety of Camera and the available Camera functions on it. It allows you to capture photos and videos in applications. This article describes how to quickly and easily take photos and videos, and describes an advanced method for users to create custom Camera experience. Notes Before en

. (4) receive results returned by Camera Once you have taken an intent image or video, you can rewrite the OnActivityResult () method to receive the execution result. After the results are obtained, the images or Videos stored in the specified position can be used by our program. 3. Construct a custom Camera program Although calling the system

In the past two days, after programming the android camera module and setting various parameters, we found that during previewing, the photos were reversed, rather than up or down, but 90 °. My mobile phone is Huawei u9200 and I used android4.0.3. Later I saw fuse (90), and then the preview was normal. However, the photos are still skewed when they are opened on the computer. Tilted 90 °, and then added thi

1.In the oncreate method: 1.1Call the getpreferredcameraid () method. In this method, the combopreferences object is added, which is used to manageProgramThe configuration file generated in the package name. After obtaining this object, some configurations are initialized. Then read the camera ID mcameraid from the configuration file and call util. the getcamerafacingintentextras (this) method is obtained through "

Reprint: Https://mp.weixin.qq.com/s/J6eo4MRQY7jLo7P-b3nvJg Li Lin compiled from PyimagesearchAuthor Adrian rosebrockQuantum bit Report | Public number Qbitai OpenCV is a 2000 release of the open-source computer vision Library, with object recognition, image segmentation, face recognition, motion recognition and other

Receive camera intent resultsOnce you build and execute an image or video camera intent, your application must be configured to receive intent results. this section describes how to intercept callbacks from the camera intent so that your application can perform more operations on the acquired images and videos.To recei

Receive camera intent resultsOnce you build and execute an image or video camera intent, your application must be configured to receive intent results. this section describes how to intercept callbacks from the camera intent so that your application can perform more operations on the acquired images and videos. To rec

describes how to create a basic layout and activity for preview. The following layout Code provides a very basic view, which can display a camera preview. in this example, the FrameLayout element is a container of the camera preview class. the layout type is used to display other image information or control controls that can overwrite the preview

functions that the camera application can control, such as the chip format, flash mode, and focus settings. This section lists common camera features and briefly discusses how to use them. Most camera functions can be accessed and set through the camera. Parameters object. However, there are several important features

As the graduate program needs to complete a mobile terminal-based scene character recognition system, although the graduation is still early, but for the sake of interest, the recent time to complete the system. The basic architecture is as follows:Client: Android application to capture the scene picture, roughly underline the area of interest text, through the socket communications upload server-side

I'm just too lazy to write this blog post now.Here I will summarize the ideas used to do the project, as well as the problems and solutions that arise in the middle. 1, the final implementation of the program (Raspberry pie, php+html, Arecord, Baidu Voice, face++ image recognition) 1.1, hardware parts Because of the addition of a switch to control voice input, so the use of the raspberry pie interrupt,

In Android, user portraits and android user portraits are set by accessing a local album or camera. Currently, almost all apps have the need to set up portraits when users register. There are three scenarios: (1) obtain the image of the local album and crop it as the Avatar. (2) Start the mobile phone

1.Use surfaceviewControl to display the captured image of the camera Android: layout_width = "fill_parent"Android: layout_height = "240dip"Android: Id = "@ + ID/surfaceview"/> 2.Details /*Obtain surfaceviewControl */ SurfaceviewSurfaceview = (surfaceview) This. findviewbyid