| ►NAprilTag | |
| CAprilTag | Detect apriltag robotic fiducial markers in Python |
| ►Nbenchmark | |
| CBenchmark | |
| ►Ncrnn | |
| CCRNN | |
| ►Ndasiamrpn | |
| CDaSiamRPN | |
| ►Ndb | |
| CDB | |
| ►Ndownload_data | |
| CDownloader | |
| ►NFirstPython | |
| CFirstPython | Simple example of FIRST Robotics image processing pipeline using OpenCV in Python on JeVois |
| ►Nlpd_yunet | |
| CLPD_YuNet | |
| ►Nmobilenet_v1 | |
| CMobileNetV1 | |
| ►Nmobilenet_v2 | |
| CMobileNetV2 | |
| ►Nmodels | |
| CRegistery | |
| ►Nmp_palmdet | |
| CMPPalmDet | |
| ►Npphumanseg | |
| CPPHumanSeg | |
| ►Nppresnet | |
| CPPResNet | |
| ►NPyClassificationDNN | |
| CPyClassificationDNN | Object recognition using OpenCV Deep Neural Networks (DNN) |
| ►NPyCoralClassify | |
| CPyCoralClassify | Object recognition using Coral Edge TPU |
| ►NPyCoralDetect | |
| CPyCoralDetect | Object detection using Coral Edge TPU |
| ►NPyCoralSegment | |
| CPyCoralSegment | Semantic segmentation using Coral Edge TPU |
| ►NPyDetectionDNN | |
| CPyDetectionDNN | Object detection and recognition using OpenCV Deep Neural Networks (DNN) |
| ►NPyDMTX | |
| CPyDMTX | Decoding of DataMatrix (DMTX) 2D barcodes |
| ►NPyEmotion | |
| CPyEmotion | Human facial emotion recognition using OpenCV Deep Neural Networks (DNN) |
| ►NPyFaceMesh | |
| CPyFaceMesh | Face mesh detection using MediaPipe |
| ►NPyHandDetector | |
| CPyHandDetector | Hand detection using MediaPipe |
| ►NPyLicensePlate | |
| CPyLicensePlate | Detect license plates on NPU using YuNet TIM-VX |
| ►NPyLLM | |
| CPyLLM | Interact with a large-language model (LLM) or vision-language model (VLM) in a chat box |
| ►NPyNetKSNN | |
| CPyNetKSNN | Simple DNN network running on NPU and invoked from the Khadas KSNN library in python |
| ►NPyNetOpenCV | |
| CPyNetOpenCV | Simple DNN network invoked from OpenCV in python |
| ►NPyNetORT | |
| CPyNetORT | Simple DNN network invoked from ONNX-Runtime in python |
| ►NPyNetURetinex | |
| CPyNetURetinex | Simple DNN network invoked from ONNX-Runtime in python for URetinex-Net |
| ►NPyObjectron | |
| CPyObjectron | 3D object detection using MediaPipe |
| ►NPyPoseDetector | |
| CPyPoseDetector | Human body pose detection using MediaPipe |
| ►NPyPostClassify | |
| CPyPostClassify | Simple classification DNN post-processor written in python |
| ►NPyPostDAMOyolo | |
| CPyPostDAMOyolo | Python DNN post-processor for DAMO YOLO |
| ►NPyPostDepth | |
| CPyPostDepth | Python DNN post-processor for depth map |
| ►NPyPostStub | |
| CPyPostStub | Stub DNN post-processor written in python |
| ►NPyPostURetinex | |
| CPyPostURetinex | Python DNN post-processor for filtered color image |
| ►NPyPostYolo | |
| CPyPostYolo | Simple YOLO DNN post-processor written in python |
| ►NPyPostYOLOv8seg | |
| CPyPostYOLOv8seg | Python DNN post-processor for YOLOv8-Seg |
| ►NPyPreBlob | |
| CPyPreBlob | Simple DNN pre-processor written in python |
| ►NPySceneText | |
| CPySceneText | Detect and decode English or Chinese text on NPU using TIM-VX |
| ►NPySelfie | |
| CPySelfie | Selfie segmentation using MediaPipe |
| ►NPythonObject6D | |
| CPythonObject6D | Simple example of object detection using ORB keypoints followed by 6D pose estimation in Python |
| ►NPythonOpenCV | |
| CPythonOpenCV | Simple example of image processing using OpenCV in Python on JeVois |
| ►NPythonParallel | |
| CPythonParallel | Simple example of parallel image processing using OpenCV in Python on JeVois |
| ►NPythonSandbox | |
| CPythonSandbox | Simple example of image processing using OpenCV in Python on JeVois |
| ►NPythonTest | |
| CPythonTest | Simple test of programming JeVois modules in Python |
| ►Nquantize-inc | |
| CDataset | |
| CQuantize | |
| ►Nquantize-ort | |
| CDataReader | |
| CQuantize | |
| ►Nsface | |
| CSFace | |
| ►Ntiny_dnn | |
| Cnetwork | |
| ►Ntransform | |
| CCenterCrop | |
| CColorConvert | |
| CCompose | |
| CNormalize | |
| CResize | |
| ►Nutils | |
| ►Ndataloaders | |
| ►Nbase | |
| CBaseImageLoader | |
| CBaseVideoLoader | |
| ►Nbase_dataloader | |
| C_BaseImageLoader | |
| C_BaseVideoLoader | |
| C_VideoStream | |
| ►Nclassification | |
| CClassificationImageLoader | |
| ►Nrecognition | |
| CRecognitionImageLoader | |
| ►Ntracking | |
| CTrackingVideoLoader | |
| ►Nfactory | |
| CRegistery | |
| ►Nmetrics | |
| ►Nbase | |
| CBase | |
| ►Nbase_metric | |
| CBaseMetric | |
| ►Ndetection | |
| CDetection | |
| ►Nrecognition | |
| CRecognition | |
| ►Ntracking | |
| CTracking | |
| ►Ntimer | |
| CTimer | |
| ►Nwechatqrcode | |
| CWeChatQRCode | |
| ►Nyoutureid | |
| CYoutuReID | |
| ►Nyunet | |
| CYuNet | |
| C_ARMarkerSquare | |
| CARPose | |
| ►CARtoolkit | Augmented reality markers using ARtoolkit |
| Carresults | |
| CArUco | Simple wrapper class over the opencv_contrib ArUco augmented reality markers |
| CArUcoBlob | Combined ArUco marker + multiple color-based object detection |
| CARVec3 | |
| CBilateralFilter | A bilateral filter |
| CBlobDetector | Simple color-based object/blob detection/tracking |
| CBlurFilter | A blur filter |
| CBufferedVideoReader | Simple class to read video frames from a movie file, decode them, and buffer them for smooth playback |
| CBurnTest | This is a burn test: run the quad-core saliency demo while also loading up CPU, GPU and NEON in the background |
| CCalibrateCamera | Helper module to calibrate a given sensor+lens combo, which allows ArUco and other modules to do 3D pose estimation |
| CColorFiltering | Image filtering using OpenCV |
| CConvert | Simple module to convert between any supported camera grab formats and USB output formats |
| Cconvert_helper | Helper struct to handle type conversions at compile time |
| Cconvert_helper< dst_type, src_type, false, false > | |
| Cconvert_helper< dst_type, src_type, false, true > | |
| Cconvert_helper< dst_type, src_type, true, false > | |
| Cconvert_helper< dst_type, src_type, true, true > | |
| CCustomDNN | Example of modified DNN module with custom post-processing |
| CDarknet | Identify an object using Darknet deep neural network |
| CDarknetSaliency | Detect salient objects and identify them using Darknet deep neural network |
| CDarknetSingle | Identify objects using Darknet deep neural network |
| CDarknetYOLO | Detect multiple objects in scenes using the Darknet YOLO deep neural network |
| CDemoARtoolkit | Augmented reality markers using ARtoolkit |
| CDemoArUco | Simple demo of ArUco and AprilTag augmented reality markers detection and decoding |
| CDemoBackgroundSubtract | Background subtraction to detect moving objects |
| CDemoCPUGPU | Live saliency computation and image filtering using 4-core CPU and OpenGL-ES 2.0 shaders on the Mali-400MP2 GPU |
| CDemoDMP | Plot results of processing IMU data with the on-chip Digital Motion Processor (DMP) |
| CDemoEyeTracker | Pupil detection and eye-tracker using the openEyes toolkit |
| CDemoGPU | Simple image filtering demo using OpenGL-ES shaders on the Mali-400MP2 GPU |
| CDemoIMU | Plot raw IMU readings on top of video |
| CDemoNeon | Simple demo of ARM Neon (SIMD) extensions, comparing a box filter (blur) between CPU and Neon |
| CDemoQRcode | Simple demo of QR-code and barcode detection and decoding using the ZBar library |
| CDemoSalGistFaceObj | Simple demo that combines saliency, gist, face detection, and object recognition |
| CDemoSaliency | Simple demo of the visual saliency algorithm of Itti et al., IEEE PAMI, 1998 |
| CDenseSift | Simple demo of dense SIFT feature descriptors extraction |
| CDetectionDNN | Detect and recognize multiple objects in scenes using OpenCV Deep Neural Nets (DNN) |
| CDiceCounter | Counting dice pips |
| CDNN | Detect and recognize multiple objects in scenes using OpenCV, NPU, TPU, or VPU Deep Neural Nets |
| CEdgeDetection | Simple module to detect edges using the Canny algorithm from OpenCV |
| CEdgeDetectionX4 | Simple module to detect edges, running 4 filters in parallel with 4 different settings |
| Cenv_dims | A simple struct to hold a pair of width/height dimensions |
| Cenv_image | Basic image class |
| Cenv_math | |
| Cenv_motion_channel | A composite channel containing a set of direction channels |
| Cenv_params | |
| Cenv_pyr | This class implements a set of images, often used as a dyadic pyramid |
| Cenv_rgb_pixel | RGB pixel class |
| CEyeTracker | Eye-tracker class used to detect gaze direction from close-up video of one's eye |
| CFaceDetector | Face detection using OpenCV |
| CFastOpticalFlow | Fast optical flow computation using dense inverse search |
| CFilter | Base class for an image filter |
| CFilterGPU | Simple image filtering using OpenGL-ES on the GPU |
| ►CFirstVision | Simple color-based detection of a U-shaped object for FIRST Robotics |
| Cdetection | Helper struct for a detected object |
| Chsvcue | Helper struct for an HSV range triplet, where each range is specified as a mean and sigma: |
| CSinglePoseEstimationParallel | ParallelLoopBody class for the parallelization of the single markers pose estimation |
| CGPUprogram | Simple class to load and compile some OpenGL-ES program |
| CGPUshader | Simple class to load and compile some OpenGL-ES shader code |
| CGPUtexture | Simple class to hold an OpenGL texture |
| CJeVoisIntro | Simple introduction to JeVois and demo that combines saliency, gist, face detection, and object recognition |
| CKalman1D | Simple component to track a moving 2D point over time using a Kalman filter |
| CKalman2D | Simple component to track a moving 2D point over time using a Kalman filter |
| CKalman4D | Simple component to track a moving 2D box (position and size) over time using a Kalman filter |
| CLaplacianFilter | A laplacian filter |
| CLine | Keeps all the ready to use information of a supporting line as it pertains to describing the road |
| CMarkersCombo | Simple demo of QRcode + ARtoolkit + ArUco markers detection and decoding |
| CMedianFilter | A median filter |
| CMorphologyFilter | A morphology filter |
| CMultiDNN | Run multiple neural networks in parallel with a tiled display |
| CMultiDNN2 | Run multiple neural networks in parallel with an overlapping display |
| CMyPipeline | |
| CMyPostProc | |
| CObjectDetect | Simple object detection using keypoint matching |
| ►CObjectMatcher | Object matching using OpenCV keypoint detection and matching |
| CTrainData | Training data structure for ObjectMatcher |
| CObjectRecognition | Wrapper around a neural network implemented by with the tiny-dnn framework by Taiga Nomi |
| CObjectRecognitionBase | Abstract base class for an object recognition component |
| CObjectRecognitionCIFAR | Object recognition CNN for CIFAR-10 dataset |
| CObjectRecognitionILAB | Object recognition CNN for ILAB-10 dataset |
| CObjectRecognitionMNIST | Object recognition CNN for MNIST handwritten digits |
| CObjectTracker | Simple color-based object detection/tracking |
| COpticalFlow | Fast optical flow computation using OF_DIS |
| CPassThrough | Simple module that just passes the captured camera frames through to USB host |
| CPoint2D | This is a basic class to encode 2D integer coordinates |
| Cpromote_trait | Promote from T1 and T2 to a type than can hold T1 * T2 |
| Cpromote_trait< byte, byte > | |
| Cpromote_trait< byte, double > | |
| Cpromote_trait< byte, float > | |
| Cpromote_trait< byte, int16 > | |
| Cpromote_trait< byte, int32 > | |
| Cpromote_trait< byte, long double > | |
| Cpromote_trait< double, long double > | |
| Cpromote_trait< float, double > | |
| Cpromote_trait< float, long double > | |
| Cpromote_trait< int16, byte > | |
| Cpromote_trait< int16, double > | |
| Cpromote_trait< int16, float > | |
| Cpromote_trait< int16, int16 > | |
| Cpromote_trait< int16, int32 > | |
| Cpromote_trait< int16, long double > | |
| Cpromote_trait< int32, double > | |
| Cpromote_trait< int32, float > | |
| Cpromote_trait< int32, long double > | |
| CpromoteFromTo | |
| CpromoteFromTo< double, byte > | |
| CpromoteFromTo< double, float > | |
| CpromoteFromTo< double, int16 > | |
| CpromoteFromTo< double, int32 > | |
| CpromoteFromTo< float, byte > | |
| CpromoteFromTo< float, int16 > | |
| CpromoteFromTo< float, int32 > | |
| CpromoteFromTo< int16, byte > | |
| CpromoteFromTo< int32, byte > | |
| CpromoteFromTo< int32, int16 > | |
| CpromoteFromTo< long double, byte > | |
| CpromoteFromTo< long double, double > | |
| CpromoteFromTo< long double, float > | |
| CpromoteFromTo< long double, int16 > | |
| CpromoteFromTo< long double, int32 > | |
| CpromoteFromTo< T, T > | |
| CQRcode | QRcode and Barcode detection using ZBar |
| CRoadFinder | Navigation by finding road |
| CRoadModel | Store information about the road |
| CRoadNavigation | Road finder demo |
| Cround_helper | Helper struct to handle rounding between different types |
| Cround_helper< dst_type, src_type, false > | |
| Cround_helper< dst_type, src_type, true > | |
| ►CSaliency | Simple wrapper class around Rob Peter's C-optimized, fixed-point-math visual saliency code |
| Cvisitor_data | |
| CSaliencyGist | Simple saliency map and gist computation module |
| CSaliencySURF | Simple salient region detection and identification using keypoint matching |
| CSalientRegions | Extract the most salient regions and send them out over USB |
| CSaveVideo | Save captured camera frames into a video file |
| CScriptItem | |
| CSegment | Segment is defined by the two end-points |
| CSuperPixel | Superpixel image segmentation from OpenCV |
| CSuperPixelSeg | Segment an image using super-pixels |
| CSurprise | Compute Itti & Baldi surprise over video frames |
| CSurpriseRecorder | Surprise-based recording of events |
| ►CTensorFlow | Identify an object using TensorFlow deep neural network |
| CJeVoisReporter | |
| CTensorFlowEasy | Identify objects using TensorFlow deep neural network |
| CTensorFlowSaliency | Detect salient objects and identify them using TensorFlow deep neural network |
| CTensorFlowSingle | Identify objects using TensorFlow deep neural network |
| Ctype_if | Makes a type a typedef for T only if B is true |
| Ctype_if< T, true > | |
| Ctype_with_N_bits | A compile-time check that T has N bits |
| CVanishingPoint | Keeps all the supporting information about a specific vanishing point |
| CYolo | Detect multiple objects in scenes using the Darknet YOLO deep neural network |
1.9.8
