a 4x1 Distortion Coefficients Vector ( CV_64FC1 ).If the 'X' is black, the display possibility is implemented and if the 'X' is red, the display possibility is not yet implemented. If there is a 'X', it should generally make sense to display the ImageType in this space. There are the following ImageTypes:ģD and 2D mean if the ImageNet Designer is capable of displaying the ImageType in 3D or in 2D. The connections between two blocks should be possible, only if both connected ports are of the same ImageType. Useful for passing the marker type (as a string value) into a subnet. No data is passed.Ī vector of strings (std::vector). This input is only used to trigger the execution of the block. Container class for convenience is available. N 1x5 Matrices, Description of the surrounding rectangle: center point x and y, width and height, angle in degrees [0.180[ġ Nx1 Matrix of Robot Joint Angles (For 3D Visualization Convert to Bodies)Īrbitrary user data via a derived interface. N 1x5 Matrices, center point x and y, width and height, angle in degrees [0.180[ N Bodies (cuboids, cylinders and spheres) N 1x1 Matrices (normally only one is used N Matrices can be used to draw a resulting scalar as the output of a feedback loop.) N 1圆 Matrix - Two points each (P1x, P1y, P1z, P2x, P2y, P2z)ġ 3x3 Matrix which describes the relation between two cameras N 1x4 Matrix - Two points each (P1x, P1y, P2x, P2y) N Mx3 Matrices - Two points each (P1x, P1y, P1z, P2x, P2y, P2z) N Mx2 Matrices with double values (sub-pixel accuracy) N 1x2 Matrices with double values (sub-pixel accuracy) XYZ and RGB information is stored in an Octree Octree in ImageNetsġ 4x4 Matrix, representing a coordinate transformation (rotation and translation)ġ 256x1 Matrix - Normalized bins. Unit: pixels, upscaled by 16 to achieve sub-pixel storage capability. The camera matrices like LayerType "Image" but without an image.ĭarker means less disparity. ImageNet Designer - Graphical Programming Tutorial ImageNet Designer - Installation Tutorial They have to be loaded to create an ImageNet with the ImageNet Designer and to execute an ImageNet from code. Neither the ImageNet Designer, nor an ImageNet have image processing functionality. See ImageNet_Designer_-_Execution_Tutorial. The ImageNet Designer helps to fine-tune your algorithm in the testing phase and to visualize results in 2D and 3D.Īfter creating an ImageNet, you can load and execute it (without the ImageNet Designer) in your own C / C++ code. With the easy-to-understand graphical user interface ImageNet Designer, an ImageNet is created and saved as an XML-File. Feedback Loops in Computer Vision (See: ImageNet_Designer_-_Graphical_Programming_Tutorial#Feedback_Structures_in_Computer_Vision_Tutorial)Įxample Videos: Data Fusion Bumblebee & Swissranger, Colored Point Cloud, Table Detection and Simulation, Plane Thresholding, Integrated Help, Feedback Loops.utilization of the execution speed of OpenCV.rapid prototyping of Computer Vision function combinations. 3D-Visualization of Computer Vision results (especially for Robotics -> Create Robot).
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