roi

I am developing an android application where i can select region of interest(ROI) when i touch two points on screen. However, when i try to change the resolution of image, the thing goes weird. What it shows does not same with what i touched. Here are my codes, MainActivity.java public class MainActivity extends Activity implements CvCameraViewListener2, OnTouchListener { private static final String TAG = "OCVSample::Activity"; private Camera_View mOpenCvCameraView; private List<Size> mResolutionList; private MenuItem[] mResolutionMenuItems; private SubMenu mResolutionMenu; private MenuItem

创建可定制的多边形ROI 折叠全部页面 句法 roi = drawpolygon roi = drawpolygon(ax) roi = drawpolygon( ___,Name,Value) 描述 例 roi = drawpolygon 创建一个 Polygon ROI对象，并允许在当前轴上交互式绘制多边形感兴趣区域（ROI）。 要绘制ROI，请将指针放在图像上。 光标变为fl形。 单击以绘制多边形的顶点，然后拖动以绘制顶点之间的线。 要完成ROI，请双击鼠标按钮。 有关使用ROI的更多信息，包括键盘快捷键和上下文菜单选项，请参阅 提示 。 注意 drawpoint 是用于创建 Polygon ROI对象 的便捷功能 。 如果直接调用来创建ROI对象，则 Polygon 必须调用 draw 对象函数以启用ROI的交互绘制。 相反，该 drawpolygon 函数创建ROI对象并 draw 为您 调用该 对象函数。 无论采用哪种方式创建ROI，都可以使用对象属性，对象功能和事件通知来自定义其外观和行为。 有关使用这些功能的更多信息，请参见 技巧 。 roi = drawpolygon( ax ) 在所指定的轴上创建ROI ax 。 roi = drawpolygon( ___, Name,Value ) 使用一个或多个名称/值对修改ROI的外观和行为。 未指定的名称

I am developing a project of detecting vehicles' headlights in night scene. I am working on a demo on MATLAB. My problem is that I need to find region of interest (ROI) to get low computing requirement. I have researched in many papers and they just use a fixed ROI like this one, the upper part is ignored and the bottom is used to analysed later. However, if the camera is not stable, I think this approach is inappropriate. I want to find a more flexible one, which alternates in each frame. My experiments images are shown here: If anyone has any idea, plz give me some suggestions. I would turn

I was using the tensorflow android example which has a placeholder for the location of a ROI (see tensorflow/examples/android/src/.../Classifier.java), but it is not used. I would like to be able to locate the ROI of the classified object. I looked through the code, but it wasn't obvious how the location could be determined. Does tensorflow support this? Pete Warden Unfortunately that placeholder is not populated, and actually determining the region of interest of an object is still a hard research problem. We don't currently have a released example of a model that can do that in TensorFlow,