diff --git a/.codeboarding/Camera Calibration & 3D Reconstruction.md b/.codeboarding/Camera Calibration & 3D Reconstruction.md new file mode 100644 index 00000000..7d3c1213 --- /dev/null +++ b/.codeboarding/Camera Calibration & 3D Reconstruction.md @@ -0,0 +1,60 @@ +```mermaid +graph LR + OpenCV_Python_Wrapper["OpenCV Python Wrapper"] + Build_and_Setup_System["Build and Setup System"] + Utility_Scripts["Utility Scripts"] + Camera_Calibration_3D_Reconstruction["Camera Calibration & 3D Reconstruction"] + Build_and_Setup_System -- "utilizes" --> Utility_Scripts + Build_and_Setup_System -- "packages and installs" --> OpenCV_Python_Wrapper + Camera_Calibration_3D_Reconstruction -- "utilizes" --> OpenCV_Python_Wrapper +``` +[![CodeBoarding](https://img.shields.io/badge/Generated%20by-CodeBoarding-9cf?style=flat-square)](https://github.com/CodeBoarding/GeneratedOnBoardings)[![Demo](https://img.shields.io/badge/Try%20our-Demo-blue?style=flat-square)](https://www.codeboarding.org/demo)[![Contact](https://img.shields.io/badge/Contact%20us%20-%20contact@codeboarding.org-lightgrey?style=flat-square)](mailto:contact@codeboarding.org) + +## Component Details + +This graph illustrates the architecture of the opencv-python project, highlighting key components and their interdependencies. The `Build and Setup System` is central to the project's distribution, relying on `Utility Scripts` and packaging the `OpenCV Python Wrapper`. The `Camera Calibration & 3D Reconstruction` component, which provides core computer vision functionalities, directly utilizes the `OpenCV Python Wrapper` to access the underlying OpenCV library. + +### OpenCV Python Wrapper +This component serves as the primary Python interface to the underlying OpenCV library. It handles the loading of the compiled OpenCV modules and exposes their functionalities to Python users. It also manages the data files associated with OpenCV. + + +**Related Classes/Methods**: + +- `cv2.__init__` (full file reference) + + +### Build and Setup System +This component is responsible for the build, installation, and packaging of the opencv-python library. It defines how the package is built from source, handles dependencies, and prepares the distribution for installation. + + +**Related Classes/Methods**: + +- `setup` (full file reference) +- `_build_backend.backend` (full file reference) + + +### Utility Scripts +This component encompasses various utility scripts used within the opencv-python project, such as those for finding the version, patching auditwheel whitelists, and potentially other helper functions for development or testing. + + +**Related Classes/Methods**: + +- `find_version` (full file reference) +- `patch_auditwheel_whitelist` (full file reference) +- `scripts.__init__` (full file reference) + + +### Camera Calibration & 3D Reconstruction +Deals with camera parameters, undistortion, stereo vision, and 3D scene understanding, utilizing the core functionalities provided by the OpenCV library through its Python wrapper. + + +**Related Classes/Methods**: + +- `cv2.calibrateCamera` (full file reference) +- `cv2.findHomography` (full file reference) +- `cv2.stereoCalibrate` (full file reference) + + + + +### [FAQ](https://github.com/CodeBoarding/GeneratedOnBoardings/tree/main?tab=readme-ov-file#faq) \ No newline at end of file diff --git a/.codeboarding/Core Operations.md b/.codeboarding/Core Operations.md new file mode 100644 index 00000000..604cd668 --- /dev/null +++ b/.codeboarding/Core Operations.md @@ -0,0 +1,98 @@ +```mermaid +graph LR + Core_Operations["Core Operations"] + ImageIO["ImageIO"] + VideoIO["VideoIO"] + ImageProcessingCore["ImageProcessingCore"] + GUI["GUI"] + DrawingUtilities["DrawingUtilities"] + Core_Operations -- "provides fundamental data structures and operations to" --> ImageIO + Core_Operations -- "provides fundamental data structures and operations to" --> VideoIO + Core_Operations -- "provides fundamental data structures and operations to" --> ImageProcessingCore + Core_Operations -- "provides fundamental data structures and operations to" --> GUI + Core_Operations -- "provides fundamental data structures and operations to" --> DrawingUtilities + ImageIO -- "provides image data to" --> ImageProcessingCore + VideoIO -- "provides frame data to" --> ImageProcessingCore + ImageProcessingCore -- "outputs processed images/frames to" --> GUI + ImageProcessingCore -- "outputs processed images to" --> ImageIO + ImageProcessingCore -- "outputs processed frames to" --> VideoIO + GUI -- "controls flow for" --> VideoIO + ImageProcessingCore -- "provides images to be annotated to" --> DrawingUtilities + DrawingUtilities -- "provides annotated images to" --> GUI +``` +[![CodeBoarding](https://img.shields.io/badge/Generated%20by-CodeBoarding-9cf?style=flat-square)](https://github.com/CodeBoarding/GeneratedOnBoardings)[![Demo](https://img.shields.io/badge/Try%20our-Demo-blue?style=flat-square)](https://www.codeboarding.org/demo)[![Contact](https://img.shields.io/badge/Contact%20us%20-%20contact@codeboarding.org-lightgrey?style=flat-square)](mailto:contact@codeboarding.org) + +## Component Details + +This architecture outlines the core components of an image and video processing system using OpenCV. It details how fundamental data structures and operations are provided, how images and videos are handled for input/output, how core image processing functions are applied, and how results are displayed and annotated. + +### Core Operations +Provides fundamental data structures like `cv2.Mat` and basic array manipulation functions essential for all image and video processing tasks. + + +**Related Classes/Methods**: + +- `cv2.Mat` (full file reference) +- `cv2.add` (full file reference) +- `cv2.subtract` (full file reference) + + +### ImageIO +This component is responsible for handling the loading of images from various file formats into memory and saving processed images back to disk. It acts as the primary interface for static image data persistence. + + +**Related Classes/Methods**: + +- `cv2.imread` (full file reference) +- `cv2.imwrite` (full file reference) + + +### VideoIO +This component manages the acquisition of video frames from cameras or video files and the writing of video frames to output files. It provides the necessary functionalities for real-time video stream processing. + + +**Related Classes/Methods**: + +- `cv2.VideoCapture` (full file reference) +- `cv2.VideoWriter` (full file reference) + + +### ImageProcessingCore +This central component provides a wide array of fundamental image manipulation and transformation functions. It includes operations like resizing, color space conversion, and basic filtering, forming the backbone for more complex computer vision tasks. + + +**Related Classes/Methods**: + +- `cv2.cvtColor` (full file reference) +- `cv2.resize` (full file reference) +- `cv2.GaussianBlur` (full file reference) +- `cv2.Canny` (full file reference) + + +### GUI +This component handles the display of images and video frames in windows, and manages user interactions such as keyboard presses. It is crucial for visualizing processing results and controlling application flow. + + +**Related Classes/Methods**: + +- `cv2.imshow` (full file reference) +- `cv2.waitKey` (full file reference) +- `cv2.destroyAllWindows` (full file reference) +- `cv2.namedWindow` (full file reference) + + +### DrawingUtilities +This component provides functions for drawing various geometric shapes, text, and other annotations directly onto image frames. It is commonly used for visualizing detected features, bounding boxes, or adding informational overlays. + + +**Related Classes/Methods**: + +- `cv2.line` (full file reference) +- `cv2.rectangle` (full file reference) +- `cv2.circle` (full file reference) +- `cv2.putText` (full file reference) + + + + +### [FAQ](https://github.com/CodeBoarding/GeneratedOnBoardings/tree/main?tab=readme-ov-file#faq) \ No newline at end of file diff --git a/.codeboarding/Drawing & Annotations.md b/.codeboarding/Drawing & Annotations.md new file mode 100644 index 00000000..4f454348 --- /dev/null +++ b/.codeboarding/Drawing & Annotations.md @@ -0,0 +1,32 @@ +```mermaid +graph LR + Drawing_Annotations["Drawing & Annotations"] + OpenCV_Library["OpenCV Library"] + Drawing_Annotations -- "uses" --> OpenCV_Library +``` +[![CodeBoarding](https://img.shields.io/badge/Generated%20by-CodeBoarding-9cf?style=flat-square)](https://github.com/CodeBoarding/GeneratedOnBoardings)[![Demo](https://img.shields.io/badge/Try%20our-Demo-blue?style=flat-square)](https://www.codeboarding.org/demo)[![Contact](https://img.shields.io/badge/Contact%20us%20-%20contact@codeboarding.org-lightgrey?style=flat-square)](mailto:contact@codeboarding.org) + +## Component Details + +This graph illustrates the interaction between a 'Drawing & Annotations' component and the 'OpenCV Library'. The 'Drawing & Annotations' component provides functionalities for rendering various shapes and text onto images, directly leveraging the core capabilities of the 'OpenCV Library' for its operations. + +### Drawing & Annotations +Functions for drawing various shapes, lines, circles, rectangles, and text directly onto images. + + +**Related Classes/Methods**: + +- `cv2.line` (full file reference) +- `cv2.rectangle` (full file reference) +- `cv2.putText` (full file reference) + + +### OpenCV Library +An open-source computer vision and machine learning software library. It provides a common infrastructure for computer vision applications and includes a wide variety of algorithms. + + +**Related Classes/Methods**: _None_ + + + +### [FAQ](https://github.com/CodeBoarding/GeneratedOnBoardings/tree/main?tab=readme-ov-file#faq) \ No newline at end of file diff --git a/.codeboarding/Feature Detection & Description.md b/.codeboarding/Feature Detection & Description.md new file mode 100644 index 00000000..d982b032 --- /dev/null +++ b/.codeboarding/Feature Detection & Description.md @@ -0,0 +1,44 @@ +```mermaid +graph LR + SIFT_Feature_Detector_Descriptor["SIFT Feature Detector & Descriptor"] + ORB_Feature_Detector_Descriptor["ORB Feature Detector & Descriptor"] + Brute_Force_Feature_Matcher["Brute-Force Feature Matcher"] + SIFT_Feature_Detector_Descriptor -- "produces features for" --> Brute_Force_Feature_Matcher + ORB_Feature_Detector_Descriptor -- "produces features for" --> Brute_Force_Feature_Matcher +``` +[![CodeBoarding](https://img.shields.io/badge/Generated%20by-CodeBoarding-9cf?style=flat-square)](https://github.com/CodeBoarding/GeneratedOnBoardings)[![Demo](https://img.shields.io/badge/Try%20our-Demo-blue?style=flat-square)](https://www.codeboarding.org/demo)[![Contact](https://img.shields.io/badge/Contact%20us%20-%20contact@codeboarding.org-lightgrey?style=flat-square)](mailto:contact@codeboarding.org) + +## Component Details + +This subsystem provides core functionalities for detecting and describing features in images, and subsequently matching these features between different images. It encompasses algorithms like SIFT and ORB for feature extraction, and a Brute-Force Matcher for comparing and finding correspondences between the extracted features. + +### SIFT Feature Detector & Descriptor +Implements the Scale-Invariant Feature Transform (SIFT) algorithm, which detects distinctive key points in images and generates invariant descriptors for them, robust to scale, rotation, and illumination changes. + + +**Related Classes/Methods**: + +- `cv2.SIFT_create` (full file reference) + + +### ORB Feature Detector & Descriptor +Implements the Oriented FAST and Rotated BRIEF (ORB) algorithm, an efficient and robust alternative to SIFT and SURF, designed for real-time applications while maintaining good performance. + + +**Related Classes/Methods**: + +- `cv2.ORB_create` (full file reference) + + +### Brute-Force Feature Matcher +Provides a brute-force matching algorithm to find the best matches between feature descriptors from two different sets. It computes the distance between every descriptor in one set and every descriptor in the other set to find the closest pairs. + + +**Related Classes/Methods**: + +- `cv2.BFMatcher` (full file reference) + + + + +### [FAQ](https://github.com/CodeBoarding/GeneratedOnBoardings/tree/main?tab=readme-ov-file#faq) \ No newline at end of file diff --git a/.codeboarding/GUI & Event Handling.md b/.codeboarding/GUI & Event Handling.md new file mode 100644 index 00000000..7773ffb3 --- /dev/null +++ b/.codeboarding/GUI & Event Handling.md @@ -0,0 +1,45 @@ +```mermaid +graph LR + Window_Management["Window Management"] + Image_Display["Image Display"] + Event_Handling["Event Handling"] + Window_Management -- "enables" --> Image_Display + Image_Display -- "requires user interaction via" --> Event_Handling + Event_Handling -- "interacts with" --> Window_Management +``` +[![CodeBoarding](https://img.shields.io/badge/Generated%20by-CodeBoarding-9cf?style=flat-square)](https://github.com/CodeBoarding/GeneratedOnBoardings)[![Demo](https://img.shields.io/badge/Try%20our-Demo-blue?style=flat-square)](https://www.codeboarding.org/demo)[![Contact](https://img.shields.io/badge/Contact%20us%20-%20contact@codeboarding.org-lightgrey?style=flat-square)](mailto:contact@codeboarding.org) + +## Component Details + +This subsystem provides core functionalities for graphical user interface interactions, including creating and managing display windows, rendering images within these windows, and handling user input events such as keyboard presses. It forms the foundation for any visual application requiring user interaction. + +### Window Management +This component is responsible for creating and managing display windows. It initializes a window where images can be rendered and displayed. + + +**Related Classes/Methods**: + +- `cv2.namedWindow` (full file reference) + + +### Image Display +This component handles the actual rendering and display of images within a designated window. It takes an image matrix and presents it on the screen. + + +**Related Classes/Methods**: + +- `cv2.imshow` (full file reference) + + +### Event Handling +This component is responsible for capturing and processing user input events, specifically waiting for a key press. It allows the application to pause execution until a user interaction occurs. + + +**Related Classes/Methods**: + +- `cv2.waitKey` (full file reference) + + + + +### [FAQ](https://github.com/CodeBoarding/GeneratedOnBoardings/tree/main?tab=readme-ov-file#faq) \ No newline at end of file diff --git a/.codeboarding/Image Input-Output.md b/.codeboarding/Image Input-Output.md new file mode 100644 index 00000000..5bb5dbe2 --- /dev/null +++ b/.codeboarding/Image Input-Output.md @@ -0,0 +1,61 @@ +```mermaid +graph LR + OpenCV_Python_Wrapper["OpenCV Python Wrapper"] + Image_Input_Output["Image Input/Output"] + OpenCV_Data_Files["OpenCV Data Files"] + Build_Backend["Build Backend"] + Image_Input_Output -- "is part of" --> OpenCV_Python_Wrapper + OpenCV_Python_Wrapper -- "uses" --> OpenCV_Data_Files + OpenCV_Python_Wrapper -- "is built by" --> Build_Backend + Build_Backend -- "configures" --> OpenCV_Python_Wrapper + Build_Backend -- "manages" --> OpenCV_Data_Files +``` +[![CodeBoarding](https://img.shields.io/badge/Generated%20by-CodeBoarding-9cf?style=flat-square)](https://github.com/CodeBoarding/GeneratedOnBoardings)[![Demo](https://img.shields.io/badge/Try%20our-Demo-blue?style=flat-square)](https://www.codeboarding.org/demo)[![Contact](https://img.shields.io/badge/Contact%20us%20-%20contact@codeboarding.org-lightgrey?style=flat-square)](mailto:contact@codeboarding.org) + +## Component Details + +This architecture overview describes the key components of the `opencv-python` package, focusing on how the native OpenCV library is integrated and made accessible in Python. It highlights the core Python wrapper, the functionalities for image and video I/O, the role of supplementary data files, and the build system responsible for packaging the library. + +### OpenCV Python Wrapper +This component represents the core Python interface to the OpenCV library. It is responsible for loading the native C++ OpenCV library and exposing its vast array of image processing and computer vision functionalities to Python developers. Most of its functionality is implemented in compiled C++ code, with Python bindings generated to allow seamless interaction. + + +**Related Classes/Methods**: + +- `cv2` (full file reference) + + +### Image Input/Output +This component, a functional aspect of the `OpenCV Python Wrapper`, specifically handles the reading and writing of image and video files, and capturing frames from cameras. It provides the Python bindings for the underlying C++ functionalities related to I/O. + + +**Related Classes/Methods**: + +- `cv2.imread` (full file reference) +- `cv2.imwrite` (full file reference) +- `cv2.VideoCapture` (full file reference) +- `cv2.VideoWriter` (full file reference) + + +### OpenCV Data Files +This component encompasses the supplementary data files required by various OpenCV algorithms. These typically include XML files for Haar cascades (used in object detection like face detection), trained models, and other configuration files that are loaded at runtime by the core OpenCV library. + + +**Related Classes/Methods**: + +- `cv2.data` (full file reference) + + +### Build Backend +This component is responsible for the build process of the `opencv-python` package. It handles the compilation of the native C++ OpenCV library, linking it with Python, and packaging it into a distributable format. This involves managing dependencies, configuring build options, and ensuring the correct binaries are produced for different platforms. + + +**Related Classes/Methods**: + +- `_build_backend.backend` (full file reference) +- `setup.py` (full file reference) + + + + +### [FAQ](https://github.com/CodeBoarding/GeneratedOnBoardings/tree/main?tab=readme-ov-file#faq) \ No newline at end of file diff --git a/.codeboarding/Image Processing.md b/.codeboarding/Image Processing.md new file mode 100644 index 00000000..9d25a828 --- /dev/null +++ b/.codeboarding/Image Processing.md @@ -0,0 +1,55 @@ +```mermaid +graph LR + Image_Color_Conversion["Image Color Conversion"] + Image_Resizing["Image Resizing"] + Image_Blurring_Gaussian_["Image Blurring (Gaussian)"] + Edge_Detection_Canny_["Edge Detection (Canny)"] + Image_Resizing -- "precedes" --> Image_Color_Conversion + Image_Color_Conversion -- "precedes" --> Image_Blurring_Gaussian_ + Image_Blurring_Gaussian_ -- "precedes" --> Edge_Detection_Canny_ +``` +[![CodeBoarding](https://img.shields.io/badge/Generated%20by-CodeBoarding-9cf?style=flat-square)](https://github.com/CodeBoarding/GeneratedOnBoardings)[![Demo](https://img.shields.io/badge/Try%20our-Demo-blue?style=flat-square)](https://www.codeboarding.org/demo)[![Contact](https://img.shields.io/badge/Contact%20us%20-%20contact@codeboarding.org-lightgrey?style=flat-square)](mailto:contact@codeboarding.org) + +## Component Details + +This graph illustrates the typical flow within an image processing pipeline, starting with image resizing, followed by color space conversion, then noise reduction through Gaussian blurring, and finally, edge detection using the Canny algorithm. Each component performs a specific transformation on the image, with the output of one stage often serving as the input for the next, enabling a sequential processing workflow for various image analysis tasks. + +### Image Color Conversion +This component is responsible for converting images between different color spaces, such as BGR to grayscale or HSV. It is a fundamental operation in many image processing pipelines, preparing images for subsequent analysis or display. + + +**Related Classes/Methods**: + +- `cv2.cvtColor` (full file reference) + + +### Image Resizing +This component handles the scaling of images to different dimensions. It can be used to enlarge or shrink an image, which is often necessary for standardizing input sizes for models or for display purposes. + + +**Related Classes/Methods**: + +- `cv2.resize` (full file reference) + + +### Image Blurring (Gaussian) +This component applies a Gaussian blur filter to an image. Gaussian blurring is commonly used to reduce image noise and smooth out details, which can be a crucial pre-processing step for algorithms like edge detection. + + +**Related Classes/Methods**: + +- `cv2.GaussianBlur` (full file reference) + + +### Edge Detection (Canny) +This component implements the Canny algorithm for detecting edges in an image. It is a multi-stage process that includes noise reduction, gradient calculation, non-maximum suppression, and hysteresis thresholding to identify strong and weak edges. + + +**Related Classes/Methods**: + +- `cv2.Canny` (full file reference) + + + + +### [FAQ](https://github.com/CodeBoarding/GeneratedOnBoardings/tree/main?tab=readme-ov-file#faq) \ No newline at end of file diff --git a/.codeboarding/Machine Learning Algorithms.md b/.codeboarding/Machine Learning Algorithms.md new file mode 100644 index 00000000..42e34d0a --- /dev/null +++ b/.codeboarding/Machine Learning Algorithms.md @@ -0,0 +1,55 @@ +```mermaid +graph LR + Machine_Learning_Algorithms_Orchestrator["Machine Learning Algorithms Orchestrator"] + OpenCV_ML_Module["OpenCV ML Module"] + OpenCV_Clustering_Module["OpenCV Clustering Module"] + OpenCV_Deep_Learning_Module["OpenCV Deep Learning Module"] + Machine_Learning_Algorithms_Orchestrator -- "uses" --> OpenCV_ML_Module + Machine_Learning_Algorithms_Orchestrator -- "uses" --> OpenCV_Clustering_Module + Machine_Learning_Algorithms_Orchestrator -- "uses" --> OpenCV_Deep_Learning_Module +``` +[![CodeBoarding](https://img.shields.io/badge/Generated%20by-CodeBoarding-9cf?style=flat-square)](https://github.com/CodeBoarding/GeneratedOnBoardings)[![Demo](https://img.shields.io/badge/Try%20our-Demo-blue?style=flat-square)](https://www.codeboarding.org/demo)[![Contact](https://img.shields.io/badge/Contact%20us%20-%20contact@codeboarding.org-lightgrey?style=flat-square)](mailto:contact@codeboarding.org) + +## Component Details + +This subsystem provides implementations and orchestration for various machine learning models tailored for computer vision tasks. It integrates core OpenCV functionalities for Support Vector Machines, K-Means clustering, and Deep Neural Networks, allowing a high-level interface to utilize these algorithms. + +### Machine Learning Algorithms Orchestrator +This component orchestrates various machine learning algorithms provided by OpenCV, specifically for tasks related to Support Vector Machines, K-Means clustering, and Deep Neural Networks. It acts as a high-level interface to utilize these functionalities. + + +**Related Classes/Methods**: + +- `MachineLearningAlgorithmsComponent.process` (full file reference) + + +### OpenCV ML Module +This component encapsulates the machine learning functionalities within OpenCV, providing tools for creating and managing Support Vector Machines (SVMs). + + +**Related Classes/Methods**: + +- `cv2.ml.SVM_create` (full file reference) + + +### OpenCV Clustering Module +This component provides clustering algorithms, specifically the K-Means algorithm, for grouping data points based on their features. + + +**Related Classes/Methods**: + +- `cv2.kmeans` (full file reference) + + +### OpenCV Deep Learning Module +This component offers functionalities for working with Deep Neural Networks (DNNs), allowing the loading and processing of pre-trained models. + + +**Related Classes/Methods**: + +- `cv2.dnn.Net` (full file reference) + + + + +### [FAQ](https://github.com/CodeBoarding/GeneratedOnBoardings/tree/main?tab=readme-ov-file#faq) \ No newline at end of file diff --git a/.codeboarding/Object Detection & Tracking.md b/.codeboarding/Object Detection & Tracking.md new file mode 100644 index 00000000..37f172b8 --- /dev/null +++ b/.codeboarding/Object Detection & Tracking.md @@ -0,0 +1,52 @@ +```mermaid +graph LR + Object_Detection_Tracking["Object Detection & Tracking"] + HaarCascadeObjectDetector["HaarCascadeObjectDetector"] + KCFObjectTracker["KCFObjectTracker"] + DNNObjectDetector["DNNObjectDetector"] + Object_Detection_Tracking -- "uses" --> HaarCascadeObjectDetector + Object_Detection_Tracking -- "uses" --> KCFObjectTracker + Object_Detection_Tracking -- "uses" --> DNNObjectDetector +``` +[![CodeBoarding](https://img.shields.io/badge/Generated%20by-CodeBoarding-9cf?style=flat-square)](https://github.com/CodeBoarding/GeneratedOnBoardings)[![Demo](https://img.shields.io/badge/Try%20our-Demo-blue?style=flat-square)](https://www.codeboarding.org/demo)[![Contact](https://img.shields.io/badge/Contact%20us%20-%20contact@codeboarding.org-lightgrey?style=flat-square)](mailto:contact@codeboarding.org) + +## Component Details + +This graph illustrates the architecture of the Object Detection & Tracking subsystem, which is responsible for identifying and tracking various objects within video streams. The main flow involves leveraging different detection mechanisms, such as Haar Cascades and Deep Neural Networks, to initially locate objects, followed by employing a tracking algorithm like KCF to maintain continuous surveillance of these objects across frames. Its purpose is to provide a flexible and robust framework for real-time object analysis in video applications. + +### Object Detection & Tracking +This component provides a comprehensive solution for identifying and following objects within video streams. It integrates various detection and tracking algorithms to offer robust object analysis capabilities. + + +**Related Classes/Methods**: _None_ + +### HaarCascadeObjectDetector +Specializes in detecting objects like faces or pedestrians by applying pre-trained Haar Cascade classifiers, which are efficient for real-time applications. + + +**Related Classes/Methods**: + +- `cv2.CascadeClassifier` (full file reference) + + +### KCFObjectTracker +Implements the Kernelized Correlation Filter (KCF) algorithm to accurately track detected objects across consecutive video frames, maintaining their identity and position. + + +**Related Classes/Methods**: + +- `cv2.TrackerKCF_create` (full file reference) + + +### DNNObjectDetector +Utilizes deep learning models, loaded through OpenCV's Deep Neural Network (DNN) module, for advanced and more accurate object detection, capable of recognizing a wider range of objects. + + +**Related Classes/Methods**: + +- `cv2.dnn.readNet` (full file reference) + + + + +### [FAQ](https://github.com/CodeBoarding/GeneratedOnBoardings/tree/main?tab=readme-ov-file#faq) \ No newline at end of file diff --git a/.codeboarding/Video Analysis.md b/.codeboarding/Video Analysis.md new file mode 100644 index 00000000..5e050e54 --- /dev/null +++ b/.codeboarding/Video Analysis.md @@ -0,0 +1,45 @@ +```mermaid +graph LR + Video_Analysis_Subsystem["Video Analysis Subsystem"] + Optical_Flow_Module["Optical Flow Module"] + Background_Subtraction_Module["Background Subtraction Module"] + Video_Analysis_Subsystem -- "invokes" --> Optical_Flow_Module + Video_Analysis_Subsystem -- "invokes" --> Background_Subtraction_Module +``` +[![CodeBoarding](https://img.shields.io/badge/Generated%20by-CodeBoarding-9cf?style=flat-square)](https://github.com/CodeBoarding/GeneratedOnBoardings)[![Demo](https://img.shields.io/badge/Try%20our-Demo-blue?style=flat-square)](https://www.codeboarding.org/demo)[![Contact](https://img.shields.io/badge/Contact%20us%20-%20contact@codeboarding.org-lightgrey?style=flat-square)](mailto:contact@codeboarding.org) + +## Component Details + +This graph represents the Video Analysis Subsystem within the opencv-python library, focusing on motion detection and background modeling. The main flow involves the overarching subsystem orchestrating calls to specialized modules for optical flow calculation and background subtraction, allowing for comprehensive video sequence analysis. + +### Video Analysis Subsystem +This component represents the overarching video analysis capabilities within the opencv-python library, specifically focusing on motion detection and background modeling. It orchestrates calls to specialized functions for optical flow calculation and background subtraction. + + +**Related Classes/Methods**: + +- `cv2.calcOpticalFlowFarneback` (full file reference) +- `cv2.createBackgroundSubtractorMOG2` (full file reference) + + +### Optical Flow Module +This module is responsible for computing dense optical flow, which estimates the motion of objects or pixels between two consecutive frames in a video sequence. It specifically utilizes the Farneback algorithm for this purpose. + + +**Related Classes/Methods**: + +- `cv2.calcOpticalFlowFarneback` (full file reference) + + +### Background Subtraction Module +This module provides functionality for separating foreground objects from the static background in a video stream. It implements the Mixture of Gaussians (MOG2) algorithm, which is robust to varying lighting conditions and dynamic backgrounds. + + +**Related Classes/Methods**: + +- `cv2.createBackgroundSubtractorMOG2` (full file reference) + + + + +### [FAQ](https://github.com/CodeBoarding/GeneratedOnBoardings/tree/main?tab=readme-ov-file#faq) \ No newline at end of file diff --git a/.codeboarding/on_boarding.md b/.codeboarding/on_boarding.md new file mode 100644 index 00000000..fd01eda6 --- /dev/null +++ b/.codeboarding/on_boarding.md @@ -0,0 +1,155 @@ +```mermaid +graph LR + Core_Operations["Core Operations"] + Image_Input_Output["Image Input-Output"] + Image_Processing["Image Processing"] + Feature_Detection_Description["Feature Detection & Description"] + Object_Detection_Tracking["Object Detection & Tracking"] + Video_Analysis["Video Analysis"] + GUI_Event_Handling["GUI & Event Handling"] + Drawing_Annotations["Drawing & Annotations"] + Machine_Learning_Algorithms["Machine Learning Algorithms"] + Camera_Calibration_3D_Reconstruction["Camera Calibration & 3D Reconstruction"] + Image_Input_Output -- "produces" --> Core_Operations + Core_Operations -- "is processed by" --> Image_Processing + Image_Processing -- "is used by" --> Feature_Detection_Description + Image_Processing -- "is used by" --> Object_Detection_Tracking + Image_Processing -- "is used by" --> Video_Analysis + Video_Analysis -- "processes frames from" --> Image_Input_Output + GUI_Event_Handling -- "displays output from" --> Core_Operations + GUI_Event_Handling -- "displays output from" --> Image_Processing + Drawing_Annotations -- "modifies" --> Core_Operations + Machine_Learning_Algorithms -- "processes data from" --> Core_Operations + Camera_Calibration_3D_Reconstruction -- "uses data from" --> Core_Operations + Camera_Calibration_3D_Reconstruction -- "uses features from" --> Feature_Detection_Description + click Core_Operations href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/opencv-python/Core Operations.md" "Details" + click Image_Input_Output href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/opencv-python/Image Input-Output.md" "Details" + click Image_Processing href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/opencv-python/Image Processing.md" "Details" + click Feature_Detection_Description href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/opencv-python/Feature Detection & Description.md" "Details" + click Object_Detection_Tracking href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/opencv-python/Object Detection & Tracking.md" "Details" + click Video_Analysis href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/opencv-python/Video Analysis.md" "Details" + click GUI_Event_Handling href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/opencv-python/GUI & Event Handling.md" "Details" + click Drawing_Annotations href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/opencv-python/Drawing & Annotations.md" "Details" + click Machine_Learning_Algorithms href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/opencv-python/Machine Learning Algorithms.md" "Details" + click Camera_Calibration_3D_Reconstruction href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/opencv-python/Camera Calibration & 3D Reconstruction.md" "Details" +``` +[![CodeBoarding](https://img.shields.io/badge/Generated%20by-CodeBoarding-9cf?style=flat-square)](https://github.com/CodeBoarding/GeneratedOnBoardings)[![Demo](https://img.shields.io/badge/Try%20our-Demo-blue?style=flat-square)](https://www.codeboarding.org/demo)[![Contact](https://img.shields.io/badge/Contact%20us%20-%20contact@codeboarding.org-lightgrey?style=flat-square)](mailto:contact@codeboarding.org) + +## Component Details + +The `opencv-python` library provides Python bindings for the OpenCV C++ library, enabling a wide range of computer vision and image processing functionalities. The core flow involves reading image or video data, performing various processing, analysis, or machine learning tasks on this data, and then potentially displaying or saving the results. The library exposes a rich set of functions and classes, primarily through the `cv2` module, allowing for operations from basic image manipulation to advanced object detection and 3D reconstruction. + +### Core Operations +Provides fundamental data structures like `cv2.Mat` and basic array manipulation functions essential for all image and video processing tasks. + + +**Related Classes/Methods**: + +- `cv2.Mat` (0:0) +- `cv2.add` (0:0) +- `cv2.subtract` (0:0) + + +### Image Input-Output +Manages the reading and writing of images and video files, and capturing frames from cameras. + + +**Related Classes/Methods**: + +- `cv2.imread` (0:0) +- `cv2.imwrite` (0:0) +- `cv2.VideoCapture` (0:0) +- `cv2.VideoWriter` (0:0) + + +### Image Processing +Offers a wide range of functions for image filtering, transformations, color space conversions, and geometric operations. + + +**Related Classes/Methods**: + +- `cv2.cvtColor` (0:0) +- `cv2.resize` (0:0) +- `cv2.GaussianBlur` (0:0) +- `cv2.Canny` (0:0) + + +### Feature Detection & Description +Provides algorithms for detecting key points and describing features in images, such as SIFT, SURF, and ORB. + + +**Related Classes/Methods**: + +- `cv2.SIFT_create` (0:0) +- `cv2.ORB_create` (0:0) +- `cv2.BFMatcher` (0:0) + + +### Object Detection & Tracking +Includes functionalities for detecting objects (e.g., faces, pedestrians) and tracking them across video frames. + + +**Related Classes/Methods**: + +- `cv2.CascadeClassifier` (0:0) +- `cv2.TrackerKCF_create` (0:0) +- `cv2.dnn.readNet` (0:0) + + +### Video Analysis +Focuses on analyzing motion in video sequences, including optical flow and background subtraction. + + +**Related Classes/Methods**: + +- `cv2.calcOpticalFlowFarneback` (0:0) +- `cv2.createBackgroundSubtractorMOG2` (0:0) + + +### GUI & Event Handling +Provides tools for creating windows, displaying images, and handling user input events (mouse, keyboard). + + +**Related Classes/Methods**: + +- `cv2.imshow` (0:0) +- `cv2.namedWindow` (0:0) +- `cv2.waitKey` (0:0) + + +### Drawing & Annotations +Functions for drawing various shapes, lines, circles, rectangles, and text directly onto images. + + +**Related Classes/Methods**: + +- `cv2.line` (0:0) +- `cv2.rectangle` (0:0) +- `cv2.putText` (0:0) + + +### Machine Learning Algorithms +Offers implementations of various machine learning models for computer vision tasks, such as SVM, K-Means, and neural networks (via DNN module). + + +**Related Classes/Methods**: + +- `cv2.ml.SVM_create` (0:0) +- `cv2.kmeans` (0:0) +- `cv2.dnn.Net` (0:0) + + +### Camera Calibration & 3D Reconstruction +Deals with camera parameters, undistortion, stereo vision, and 3D scene understanding. + + +**Related Classes/Methods**: + +- `cv2.calibrateCamera` (0:0) +- `cv2.findHomography` (0:0) +- `cv2.stereoCalibrate` (0:0) + + + + +### [FAQ](https://github.com/CodeBoarding/GeneratedOnBoardings/tree/main?tab=readme-ov-file#faq) \ No newline at end of file