| C_ARMarkerSquare | |
| ►Cutils.dataloaders.base_dataloader._BaseImageLoader | |
| Cutils.dataloaders.base.BaseImageLoader | |
| Cutils.dataloaders.classification.ClassificationImageLoader | |
| Cutils.dataloaders.recognition.RecognitionImageLoader | |
| ►Cutils.dataloaders.base_dataloader._BaseVideoLoader | |
| Cutils.dataloaders.base.BaseVideoLoader | |
| Cutils.dataloaders.tracking.TrackingVideoLoader | |
| Cutils.dataloaders.base_dataloader._VideoStream | |
| CAprilTag.AprilTag | Detect apriltag robotic fiducial markers in Python |
| CARPose | |
| CARtoolkit::arresults | |
| CARVec3 | |
| ►Cutils.metrics.base_metric.BaseMetric | |
| Cutils.metrics.base.Base | |
| Cutils.metrics.detection.Detection | |
| Cutils.metrics.recognition.Recognition | |
| Cutils.metrics.tracking.Tracking | |
| Cbenchmark.Benchmark | |
| Ctransform.CenterCrop | |
| Ctransform.ColorConvert | |
| Ctransform.Compose | |
| Cconvert_helper< dst_type, src_type, is_preserving, dst_type_is_integer > | 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 > | |
| Ccrnn.CRNN | |
| Cdasiamrpn.DaSiamRPN | |
| Cquantize-inc.Dataset | |
| Cdb.DB | |
| CFirstVision::detection | Helper struct for a detected object |
| Cdownload_data.Downloader | |
| 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 |
| ►Ctflite::ErrorReporter | |
| CTensorFlow::JeVoisReporter | |
| CFirstPython.FirstPython | Simple example of FIRST Robotics image processing pipeline using OpenCV in Python on JeVois |
| 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 |
| CFirstVision::hsvcue | Helper struct for an HSV range triplet, where each range is specified as a mean and sigma: |
| ►CJeVoisProBenchmarks | |
| CDNN | Detect and recognize multiple objects in scenes using OpenCV, NPU, TPU, or VPU Deep Neural Nets |
| CLine | Keeps all the ready to use information of a supporting line as it pertains to describing the road |
| Clpd_yunet.LPD_YuNet | |
| Cmobilenet_v1.MobileNetV1 | |
| Cmobilenet_v2.MobileNetV2 | |
| Cmp_palmdet.MPPalmDet | |
| Ctiny_dnn::network< NetType > | |
| Ctiny_dnn::network< tiny_dnn::sequential > | |
| Ctransform.Normalize | |
| ►Ccv::ParallelLoopBody | |
| CFirstVision::SinglePoseEstimationParallel | ParallelLoopBody class for the parallelization of the single markers pose estimation |
| ►Cjevois::Parameter | |
| CARtoolkit | Augmented reality markers using ARtoolkit |
| CArUco | Simple wrapper class over the opencv_contrib ArUco augmented reality markers |
| CArUcoBlob | Combined ArUco marker + multiple color-based object detection |
| 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 |
| 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 |
| CDarknet | Identify an object using Darknet deep neural network |
| CDarknetSaliency | Detect salient objects and identify them using Darknet deep neural network |
| CDarknetYOLO | Detect multiple objects in scenes using the Darknet YOLO deep neural network |
| 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 |
| CDenseSift | Simple demo of dense SIFT feature descriptors extraction |
| CDetectionDNN | Detect and recognize multiple objects in scenes using OpenCV Deep Neural Nets (DNN) |
| 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 |
| 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 |
| CFirstVision | Simple color-based detection of a U-shaped object for FIRST Robotics |
| 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 |
| 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 |
| CObjectDetect | Simple object detection using keypoint matching |
| CObjectMatcher | Object matching using OpenCV keypoint detection and matching |
| CQRcode | QRcode and Barcode detection using ZBar |
| CRoadFinder | Navigation by finding road |
| CRoadNavigation | Road finder demo |
| CSaliency | Simple wrapper class around Rob Peter's C-optimized, fixed-point-math visual saliency code |
| 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 |
| CSuperPixel | Superpixel image segmentation from OpenCV |
| CSurprise | Compute Itti & Baldi surprise over video frames |
| CSurpriseRecorder | Surprise-based recording of events |
| CTensorFlow | Identify an object using TensorFlow deep neural network |
| CTensorFlowEasy | Identify objects using TensorFlow deep neural network |
| CTensorFlowSaliency | Detect salient objects and identify them using TensorFlow deep neural network |
| CYolo | Detect multiple objects in scenes using the Darknet YOLO deep neural network |
| ►Cjevois::ParameterRegistry [external] | |
| ►Cjevois::Component [external] | |
| CARtoolkit | Augmented reality markers using ARtoolkit |
| CArUco | Simple wrapper class over the opencv_contrib ArUco augmented reality markers |
| CBlobDetector | Simple color-based object/blob detection/tracking |
| CBufferedVideoReader | Simple class to read video frames from a movie file, decode them, and buffer them for smooth playback |
| CDarknet | Identify an object using Darknet deep neural network |
| 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 |
| CBilateralFilter | A bilateral filter |
| CBlurFilter | A blur filter |
| CLaplacianFilter | A laplacian filter |
| CMedianFilter | A median filter |
| CMorphologyFilter | A morphology filter |
| CFilterGPU | Simple image filtering using OpenGL-ES on the GPU |
| 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 |
| CObjectMatcher | Object matching using OpenCV keypoint detection and matching |
| ►CObjectRecognitionBase | Abstract base class for an object recognition component |
| ►CObjectRecognition< tiny_dnn::sequential > | |
| CObjectRecognitionCIFAR | Object recognition CNN for CIFAR-10 dataset |
| CObjectRecognitionILAB | Object recognition CNN for ILAB-10 dataset |
| CObjectRecognitionMNIST | Object recognition CNN for MNIST handwritten digits |
| CObjectRecognition< NetType > | Wrapper around a neural network implemented by with the tiny-dnn framework by Taiga Nomi |
| CQRcode | QRcode and Barcode detection using ZBar |
| CRoadFinder | Navigation by finding road |
| CSaliency | Simple wrapper class around Rob Peter's C-optimized, fixed-point-math visual saliency code |
| CSuperPixel | Superpixel image segmentation from OpenCV |
| CSurprise | Compute Itti & Baldi surprise over video frames |
| CTensorFlow | Identify an object using TensorFlow deep neural network |
| CYolo | Detect multiple objects in scenes using the Darknet YOLO deep neural network |
| ►Cjevois::Module [external] | |
| 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 |
| CDemoBackgroundSubtract | Background subtraction to detect moving objects |
| 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 |
| CDenseSift | Simple demo of dense SIFT feature descriptors extraction |
| CDiceCounter | Counting dice pips |
| 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 |
| COpticalFlow | Fast optical flow computation using OF_DIS |
| CPassThrough | Simple module that just passes the captured camera frames through to USB host |
| 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 |
| CSuperPixelSeg | Segment an image using super-pixels |
| CSurpriseRecorder | Surprise-based recording of events |
| ►Cjevois::StdModule [external] | |
| CArUcoBlob | Combined ArUco marker + multiple color-based object detection |
| CCustomDNN | Example of modified DNN module with custom post-processing |
| CDNN | Detect and recognize multiple objects in scenes using OpenCV, NPU, TPU, or VPU Deep Neural Nets |
| 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 |
| CDemoCPUGPU | Live saliency computation and image filtering using 4-core CPU and OpenGL-ES 2.0 shaders on the Mali-400MP2 GPU |
| 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 |
| CDetectionDNN | Detect and recognize multiple objects in scenes using OpenCV Deep Neural Nets (DNN) |
| CFirstVision | Simple color-based detection of a U-shaped object for FIRST Robotics |
| CJeVoisIntro | Simple introduction to JeVois and demo that combines saliency, gist, face detection, and object recognition |
| CMarkersCombo | Simple demo of QRcode + ARtoolkit + ArUco markers detection and decoding |
| CMultiDNN | Run multiple neural networks in parallel with a tiled display |
| CMultiDNN2 | Run multiple neural networks in parallel with an overlapping display |
| CObjectDetect | Simple object detection using keypoint matching |
| CObjectTracker | Simple color-based object detection/tracking |
| CRoadNavigation | Road finder demo |
| CSaliencyGist | Simple saliency map and gist computation module |
| 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 |
| ►Cjevois::dnn::Pipeline [external] | |
| CMyPipeline | |
| ►Cjevois::dnn::PostProcessor [external] | |
| ►Cjevois::dnn::PostProcessorDetect [external] | |
| CMyPostProc | |
| CPoint2D< T > | This is a basic class to encode 2D integer coordinates |
| CPoint2D< float > | |
| CPoint2D< int > | |
| Cpphumanseg.PPHumanSeg | |
| Cppresnet.PPResNet | |
| Cpromote_trait< T1, T2 > | 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< T1, T2 > | |
| 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 > | |
| CPyClassificationDNN.PyClassificationDNN | Object recognition using OpenCV Deep Neural Networks (DNN) |
| CPyCoralClassify.PyCoralClassify | Object recognition using Coral Edge TPU |
| CPyCoralDetect.PyCoralDetect | Object detection using Coral Edge TPU |
| CPyCoralSegment.PyCoralSegment | Semantic segmentation using Coral Edge TPU |
| CPyDetectionDNN.PyDetectionDNN | Object detection and recognition using OpenCV Deep Neural Networks (DNN) |
| CPyDMTX.PyDMTX | Decoding of DataMatrix (DMTX) 2D barcodes |
| CPyEmotion.PyEmotion | Human facial emotion recognition using OpenCV Deep Neural Networks (DNN) |
| CPyFaceMesh.PyFaceMesh | Face mesh detection using MediaPipe |
| CPyHandDetector.PyHandDetector | Hand detection using MediaPipe |
| CPyLicensePlate.PyLicensePlate | Detect license plates on NPU using YuNet TIM-VX |
| CPyLLM.PyLLM | Interact with a large-language model (LLM) or vision-language model (VLM) in a chat box |
| CPyNetKSNN.PyNetKSNN | Simple DNN network running on NPU and invoked from the Khadas KSNN library in python |
| CPyNetOpenCV.PyNetOpenCV | Simple DNN network invoked from OpenCV in python |
| CPyNetORT.PyNetORT | Simple DNN network invoked from ONNX-Runtime in python |
| CPyNetURetinex.PyNetURetinex | Simple DNN network invoked from ONNX-Runtime in python for URetinex-Net |
| CPyObjectron.PyObjectron | 3D object detection using MediaPipe |
| CPyPoseDetector.PyPoseDetector | Human body pose detection using MediaPipe |
| CPyPostClassify.PyPostClassify | Simple classification DNN post-processor written in python |
| CPyPostDAMOyolo.PyPostDAMOyolo | Python DNN post-processor for DAMO YOLO |
| CPyPostDepth.PyPostDepth | Python DNN post-processor for depth map |
| CPyPostStub.PyPostStub | Stub DNN post-processor written in python |
| CPyPostURetinex.PyPostURetinex | Python DNN post-processor for filtered color image |
| CPyPostYolo.PyPostYolo | Simple YOLO DNN post-processor written in python |
| CPyPostYOLOv8seg.PyPostYOLOv8seg | Python DNN post-processor for YOLOv8-Seg |
| CPyPreBlob.PyPreBlob | Simple DNN pre-processor written in python |
| CPySceneText.PySceneText | Detect and decode English or Chinese text on NPU using TIM-VX |
| CPySelfie.PySelfie | Selfie segmentation using MediaPipe |
| CPythonObject6D.PythonObject6D | Simple example of object detection using ORB keypoints followed by 6D pose estimation in Python |
| CPythonOpenCV.PythonOpenCV | Simple example of image processing using OpenCV in Python on JeVois |
| CPythonParallel.PythonParallel | Simple example of parallel image processing using OpenCV in Python on JeVois |
| CPythonSandbox.PythonSandbox | Simple example of image processing using OpenCV in Python on JeVois |
| CPythonTest.PythonTest | Simple test of programming JeVois modules in Python |
| Cquantize-inc.Quantize | |
| Cquantize-ort.Quantize | |
| Cmodels.Registery | |
| Cutils.factory.Registery | |
| Ctransform.Resize | |
| CRoadModel | Store information about the road |
| Cround_helper< dst_type, src_type, need_rounding > | Helper struct to handle rounding between different types |
| Cround_helper< dst_type, src_type, false > | |
| Cround_helper< dst_type, src_type, true > | |
| CScriptItem | |
| CSegment | Segment is defined by the two end-points |
| Csface.SFace | |
| Cutils.timer.Timer | |
| CObjectMatcher::TrainData | Training data structure for ObjectMatcher |
| Ctype_if< T, B > | Makes a type a typedef for T only if B is true |
| Ctype_if< T, true > | |
| Ctype_with_N_bits< T, N > | A compile-time check that T has N bits |
| Ctype_with_N_bits< unsignedchar, 8 > | |
| CVanishingPoint | Keeps all the supporting information about a specific vanishing point |
| CSaliency::visitor_data | |
| Cwechatqrcode.WeChatQRCode | |
| Cyoutureid.YoutuReID | |
| Cyunet.YuNet | |
| ►CCalibrationDataReader | |
| Cquantize-ort.DataReader | |
1.9.8
