HALCON Documentation

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### HALCON Basics Documentation

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/index

Covers fundamental aspects of HALCON, including quick guides, installation, HDevelop usage, and solution guides for various vision tasks like image acquisition, matching, 2D data codes, classification, 1D/2D measuring, and 3D vision.

```APIDOC
HALCON Basics:
  Quick Guide: Download PDF
  Installation Guide: Download PDF
  HDevelop User's Guide: Download PDF
  HDevelopEVO User's Guide: Go to website
  Solution Guide I - Basics: Download PDF
  Solution Guide II-A - Image Acquisition: Download PDF
  Solution Guide II-B - Matching: Download PDF
  Solution Guide II-C - 2D Data Codes: Download PDF
  Solution Guide II-D - Classification: Download PDF
  Solution Guide III-A - 1D Measuring: Download PDF
  Solution Guide III-B - 2D Measuring: Download PDF
  Solution Guide III-C - 3D Vision: Download PDF
  Technical Updates: Download PDF
```

--------------------------------

### HDevelop Example Program: query_system_parameters.hdev

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-1811-0

A HDevelop example program for querying system parameters. Previously had issues on machines without OpenGL installed.

```HDevelop
hdevelop/System/Parameters/query_system_parameters.hdev
```

--------------------------------

### Introduction to HALCON Basic Concepts

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2411-1

Provides an introductory guide to fundamental HALCON concepts, including images, regions, domains, and tuples. This example serves as a learning resource for new users.

```HDevelop
hdevelop/halcon_basic_concepts.hdev
```

--------------------------------

### HDevelop Example Program: explore_halcon.hdev

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-1811-0

An improved HDevelop example program that now provides the program runtime for each example application.

```HDevelop
hdevelop/explore_halcon.hdev
```

--------------------------------

### C# Avalonia UI Matching Example

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2211-0

A new C# example program, AvaloniaMatching, has been added to demonstrate how to visualize data within the Avalonia UI framework. This serves as a practical guide for integrating HALCON with Avalonia.

```C#
// Project: /context7/mvtec-products-halcon-work-with-halcon
// File: AvaloniaMatching (Example Program)

// This example demonstrates visualizing HALCON data in an Avalonia UI.
// It showcases integration patterns between HALCON and the Avalonia framework.

// using Avalonia.Controls;
// using HalconDotNet;

// public class MainWindow : Window
// {
//     public MainWindow()
//     {
//         InitializeComponent();
//     }
//
//     private void InitializeComponent()
//     {
//         // ... Avalonia UI setup ...
//         // Example: Displaying an image using HSmartWindowControlWPF
//         // var hWindowControl = this.FindControl<HSmartWindowControlWPF>("hWindowControl");
//         // HImage image = new HImage("path/to/your/image.png");
//         // hWindowControl.DisplayImage(image);
//     }
// }
```

--------------------------------

### C++ Example for create_pose and threshold

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2211-2

Reference manual entries for HALCON operators 'create_pose' and 'threshold' now include C++ code examples to illustrate their usage.

```C++
// Example for create_pose (conceptual)
// HDevelop: create_pose (Row, Col, MeasureChan, Angle, Length1, Length2, StartPhi, EndPhi, AngleResolution, Error, PoseHandle)
// C++ equivalent would involve similar parameters for pose creation.
```

```C++
// Example for threshold (conceptual)
// HDevelop: threshold (Image, Region, Dark, Light)
// C++ equivalent would involve image processing functions to segment based on intensity.
```

--------------------------------

### HDevelop OPC UA Monitor Subscription Example

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-1811-0

An HDevelop example program demonstrating how to monitor subscriptions with OPC UA.

```HDevelop
hdevelop/System/IO-Devices/opc_ua_monitor_subscription.hdev
```

--------------------------------

### HDevelop Example: measure_plant

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-1811-0

Added a new HDevelop example 'measure_plant' demonstrating segmentation and measurement of different plant parts.

```APIDOC
Example: hdevelop/3D-Object-Model/Segmentation/measure_plant.hdev

Description:
  Demonstrates segmentation and measurement of different parts of a plant.
```

--------------------------------

### HDevelop Startup Batch Files

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-1712-0

Batch files installed to the HALCON root directory for starting specific HDevelop versions and platforms on Windows. These simplify launching HDevelop without manual environment variable adjustments, and allow dragging HDevelop program files onto them to open.

```batch
start_hdevelop_x64.bat
start_hdevelopxl_x64.bat
start_hdevelop_x86sse2.bat
start_hdevelopxl_x86sse2.bat
```

--------------------------------

### HDevelop Example: Structured Light Calibration

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2411-1-s

Demonstrates how to calibrate a structured light setup using HALCON's new 3D reconstruction features. Includes usage of new images.

```HDevelop
hdevelop/3D-Reconstruction/Structured-Light/structured_light_calibration.hdev
```

--------------------------------

### DL Detection and Segmentation Workflow Examples

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2011-1-0

HDevelop example programs demonstrating the fundamental workflows for deep learning object detection and semantic segmentation. These examples cover dataset preprocessing, model training, evaluation, and inference.

```HDevelop
hdevelop/Deep-Learning/Detection/dl_detection_workflow.hdev
```

```HDevelop
hdevelop/Deep-Learning/Segmentation/dl_segmentation_workflow.hdev
```

--------------------------------

### HDevelop Dictionary Data Container Example

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-1811-0

An HDevelop example program showcasing the usage of dictionary data containers.

```HDevelop
hdevelop/Tuple/Data-Containers/dictionary.hdev
```

--------------------------------

### HDevelop Examples: Deep Learning Semantic Segmentation

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-1811-0

A series of HDevelop examples illustrating the process of deep learning-based semantic segmentation in HALCON. These examples guide users through preprocessing, training, and evaluation steps for defect segmentation.

```HDevelop
examples/hdevelop/Deep-Learning/Segmentation/segment_pill_defects_deep_learning_1_preprocess.hdev
examples/hdevelop/Deep-Learning/Segmentation/segment_pill_defects_deep_learning_2_train.hdev
examples/hdevelop/Deep-Learning/Segmentation/segment_pill_defects_deep_learning_3_evaluate.hdev
```

--------------------------------

### Language Interface Example: c#/IACallback/dotnetcore31 Configuration Fix

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2211-2

Corrects the configuration of the c#/IACallback/dotnetcore31 example, which was incorrectly set up for a desktop application. This problem has been fixed.

```C#
// Fix for c#/IACallback/dotnetcore31 example configuration
// Issue: Incorrect configuration for desktop application.
// Status: Resolved
```

--------------------------------

### HDevelop Example Programs List

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2505-0

A collection of new HDevelop example programs demonstrating various functionalities. These files represent specific use cases and algorithms within the HDevelop environment.

```HDevelop
hdevelop/3D-Matching/Deep-3D-Matching/deep_3d_matching_data_generation.hdev
```

```HDevelop
hdevelop/3D-Matching/Deep-3D-Matching/deep_3d_matching_training_workflow.hdev
```

```HDevelop
hdevelop/Deep-Learning/Detection/dl_detection_inference_yolo.hdev
```

```HDevelop
hdevelop/ImageSource/image_source_create.hdev
```

```HDevelop
hdevelop/ImageSource/image_source_frame_rate.hdev
```

```HDevelop
hdevelop/ImageSource/image_source_information.hdev
```

```HDevelop
hdevelop/ImageSource/image_source_modules.hdev
```

```HDevelop
hdevelop/ImageSource/image_source_parameters.hdev
```

```HDevelop
hdevelop/ImageSource/image_source_pixel_format.hdev
```

```HDevelop
hdevelop/ImageSource/image_source_plugin_path.hdev
```

```HDevelop
hdevelop/ImageSource/image_source_query_devices.hdev
```

```HDevelop
hdevelop/ImageSource/image_source_query_plugins.hdev
```

```HDevelop
hdevelop/ImageSource/image_source_simple.hdev
```

```HDevelop
hdevelop/ImageSource/image_source_trigger_hardware.hdev
```

```HDevelop
hdevelop/ImageSource/image_source_trigger_software.hdev
```

```HDevelop
hdevelop/ImageSource/image_source_trigger_software_multithread.hdev
```

```HDevelop
hdevelop/Applications/Wafer-Inspection/inspect_wafer.hdev
```

```HDevelop
hdevelop/Classification/k-Nearest-Neighbor/classify_pills_hyperspectral.hdev
```

```HDevelop
hdevelop/3D-Matching/Deep-3D-Matching/deep_3d_matching_workflow.hdev
```

```HDevelop
hdevelop/Tuple/String-Operations/tuple_split_join.hdev
```

--------------------------------

### HDevelop Examples: Deep Learning Object Detection

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-1811-0

A series of HDevelop examples demonstrating the workflow for deep learning-based object detection in HALCON. These examples cover preparation, training, evaluation, and inference stages.

```HDevelop
examples/hdevelop/Deep-Learning/Detection/detect_pills_deep_learning_1_prepare.hdev
examples/hdevelop/Deep-Learning/Detection/detect_pills_deep_learning_2_train.hdev
examples/hdevelop/Deep-Learning/Detection/detect_pills_deep_learning_3_evaluate.hdev
examples/hdevelop/Deep-Learning/Detection/detect_pills_deep_learning_4_infer.hdev
```

--------------------------------

### HDevelop Example Programs Overview

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2411-1

Lists new and updated HDevelop example programs demonstrating various HALCON functionalities. These examples cover areas such as 3D matching, deep learning, calibration, and image processing tasks.

```HDevelop
hdevelop/3D-Matching/3D-Gripping-Point-Detection/3d_gripping_point_detection_training_workflow.hdev
hdevelop/Applications/Battery-Inspection/battery_electrode_sheet_inspection.hdev
hdevelop/Calibration/Hand-Eye/calibrate_hand_eye_stationary_cam_stochastic.hdev
hdevelop/Classification/k-Nearest-Neighbor/classify_pills_hyperspectral.hdev
hdevelop/3D-Matching/Deep-3D-Matching/deep_3d_matching_workflow.hdev
hdevelop/Matching/Deep-Counting/deep_counting.hdev
hdevelop/Matching/Deep-Counting/deep_counting_workflow.hdev
hdevelop/OCR/Deep-OCR/deep_ocr_detection_training_workflow.hdev
hdevelop/Applications/Battery-Inspection/detect_3d_defects_on_battery_surface.hdev
hdevelop/Deep-Learning/Classification/detect_out_of_distribution_samples_for_classification.hdev
hdevelop/Deep-Learning/MultiLabelClassification/dl_multi_label_classification_workflow.hdev
hdevelop/System/Sockets/generic_socket_transmit_memory_block.hdev
hdevelop/halcon_basic_concepts.hdev
hdevelop/Applications/Battery-Inspection/inspect_and_identify_battery_cells.hdev
hdevelop/XLD/Sets/intersection_region_contour_xld.hdev
hdevelop/Identification/Data-Code/print_quality_smallest_module_size.hdev
hdevelop/3D-Object-Model/Creation/read_object_model_3d_generic_ascii.hdev
hdevelop/3D-Reconstruction/Structured-Light/structured_light_3d_surface_reconstruction.hdev
hdevelop/3D-Reconstruction/Structured-Light/structured_light_calibration.hdev
hdevelop/Matching/Shape-Based/train_generic_shape_model_sample_workflow.hdev
hdevelop/Tuple/String-Operations/tuple_str_distance.hdev
```

--------------------------------

### HDevelop Example: GStreamer Frame Rate

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2011-2-0

Example HDevelop program demonstrating frame rate acquisition using GStreamer.

```HDevelop
hdevelop/Image/Acquisition/gstreamer_frame_rate.hdev
```

--------------------------------

### HDevelop Examples for DotCode

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2011-0-0

These HDevelop example programs demonstrate how to use the new DotCode functionality, including default and optimized settings for reading DotCode symbols.

```HDevelop
hdevelop/Applications/Data-Codes/dotcode_default_settings.hdev
```

```HDevelop
hdevelop/Applications/Data-Codes/dotcode_optimized_settings.hdev
```

--------------------------------

### USB3Vision Information Gathering Example

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2011-0-0

This HDevelop example program is designed to gather information about the system and camera configuration specifically for USB3Vision devices.

```HDevelop
hdevelop/Image/Acquisition/usb3vision_information.hdev
```

--------------------------------

### HDevelop Example Organization Fix

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-1712-0

Corrects inconsistent naming conventions for hand-eye calibration examples and folders within HDevelop. This ensures that all relevant examples are discoverable when filtering by 'hand-eye' or 'hand_eye' in the HDevelop example browser.

```HDevelop
// HDevelop Example Browser Filtering
// Fix for inconsistent naming of hand-eye calibration examples.
// Filtering by 'hand-eye' or 'hand_eye' now lists all relevant examples.
```

--------------------------------

### HALCON Language Interface Example Program Fixes

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2311-0

Details bug fixes for language interface example programs, including configuration errors in a C#/.NET Core example and incorrect naming of a preference dialog in HDevelop documentation and examples.

```APIDOC
Example Program: c#/IACallback/dotnetcore31
Description: Fixes incorrect configuration for a desktop application.

Documentation/Examples: dev_set_preferences, dev_get_preferences, test_jit_speedup.hdev
Description: Fixes an incorrect naming of the HDevelop preference dialog from 'Experienced Users' to 'Experienced User' in reference manual entries and HDevelop/HDevEngine examples.
```

--------------------------------

### HALCON C and C++ Exported Examples Update

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-1712-0

The exported armv7a C and C++ examples have been updated. This section indicates that the provided examples for the armv7a architecture have been refreshed, likely including bug fixes or feature enhancements.

```C++
// Exported armv7a C and C++ examples updated.
// This update likely includes bug fixes and improvements for the armv7a platform.
```

--------------------------------

### HDevelop USB3 Vision Acquisition Examples

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-1811-0

HDevelop example programs demonstrating USB3 Vision acquisition features, including acquisition events, file access, and firmware updates.

```HDevelop
hdevelop/Image/Acquisition/usb3vision_acquisition_events.hdev
```

```HDevelop
hdevelop/Image/Acquisition/usb3vision_fileaccess.hdev
```

```HDevelop
hdevelop/Image/Acquisition/usb3vision_fwupdate.hdev
```

--------------------------------

### HDevelop Example: GenICamTL Frame Rate

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2011-2-0

Example HDevelop program demonstrating frame rate acquisition using GenICamTL.

```HDevelop
hdevelop/Image/Acquisition/genicamtl_frame_rate.hdev
```

--------------------------------

### HALCON Shape-Based Matching Examples Update

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2111-0

Details the update of HALCON shape-based matching examples to use the generic interface, including lists of modified, added, and removed HDevelop example programs.

```APIDOC
Updated HDevelop Standard Examples:
  - hdevelop/Applications/Measuring-2D/pm_measure_board.hdev
  - hdevelop/Applications/Position-Recognition-2D/matching_image_border.hdev
  - hdevelop/Matching/Shape-Based/create_shape_model_xld.hdev
  - hdevelop/Matching/Shape-Based/find_aniso_shape_model.hdev
  - hdevelop/Matching/Shape-Based/find_shape_low_contrast_high_noise.hdev

Updated Documentation Examples:
  - solution_guide/basics/variation_model_illumination.hdev
  - solution_guide/basics/variation_model_single.hdev
  - solution_guide/matching/align_measurements.hdev
  - solution_guide/matching/create_roi_via_vision.hdev
  - solution_guide/matching/first_example_shape_matching.hdev
  - solution_guide/matching/multiple_models.hdev
  - solution_guide/matching/multiple_objects.hdev
  - solution_guide/matching/process_shape_model.hdev
  - solution_guide/matching/rectify_results.hdev
  - solution_guide/matching/reuse_model.hdev
  - solution_guide/matching/synthetic_circle.hdev

New Example Added:
  - hdevelop/Matching/Shape-Based/alignment_for_ocr_in_semiconductor.hdev

Removed Redundant Examples:
  - create_model_green_dot.hdev
  - matching_coins.hdev
  - matching_green_dot.hdev
  - multiple_scales.hdev
```

--------------------------------

### HALCON C# DrawingObjectsWPF Example Fix

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-1811-0

Addresses an issue in the C# DrawingObjectsWPF example where it did not function correctly when using handles.

```APIDOC
Example: C# DrawingObjectsWPF
Description: The example did not work correctly when using handles. This problem has been fixed.
```

--------------------------------

### HDevelop Example: USB3Vision Frame Rate

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2011-2-0

Example HDevelop program demonstrating frame rate acquisition using USB3Vision.

```HDevelop
hdevelop/Image/Acquisition/usb3vision_frame_rate.hdev
```

--------------------------------

### HDevelop Example Programs for New Image Source Interface

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2505-0

A collection of HDevelop example programs demonstrating the usage of the new image acquisition operator interface based on GenICam GenTL. These examples cover various aspects such as creating image sources, managing frame rates, querying device information, and handling different pixel formats and trigger mechanisms.

```HDevelop
hdevelop/ImageSource/image_source_create.hdev
```

```HDevelop
hdevelop/ImageSource/image_source_frame_rate.hdev
```

```HDevelop
hdevelop/ImageSource/image_source_information.hdev
```

```HDevelop
hdevelop/ImageSource/image_source_modules.hdev
```

```HDevelop
hdevelop/ImageSource/image_source_parameters.hdev
```

```HDevelop
hdevelop/ImageSource/image_source_pixel_format.hdev
```

```HDevelop
hdevelop/ImageSource/image_source_plugin_path.hdev
```

```HDevelop
hdevelop/ImageSource/image_source_query_devices.hdev
```

```HDevelop
hdevelop/ImageSource/image_source_query_plugins.hdev
```

```HDevelop
hdevelop/ImageSource/image_source_trigger_hardware.hdev
```

```HDevelop
hdevelop/ImageSource/image_source_trigger_software_multithread.hdev
```

```HDevelop
hdevelop/ImageSource/image_source_trigger_software.hdev
```

--------------------------------

### HDevelop Hilscher CIFX IO-Device Examples

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-1811-0

HDevelop example programs for interacting with Hilscher CIFX IO-devices, covering data conversion, reading, writing, and simple diagnostics.

```HDevelop
hdevelop/System/IO-Devices/hilscher-cifx_data_conversion.hdev
```

```HDevelop
hdevelop/System/IO-Devices/hilscher-cifx_read.hdev
```

```HDevelop
hdevelop/System/IO-Devices/hilscher-cifx_simple_diagnostic.hdev
```

```HDevelop
hdevelop/System/IO-Devices/hilscher-cifx_write.hdev
```

--------------------------------

### HDevelop Tuple String Operations Examples

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-1811-0

HDevelop example programs demonstrating string operations on tuples, including Unicode support and character/ordinal conversions.

```HDevelop
hdevelop/Tuple/String-Operations/tuple_operators_using_unicode.hdev
```

```HDevelop
hdevelop/Tuple/String-Operations/tuple_ord_chr.hdev
```

--------------------------------

### Fix HALCON/PYTHON Example Dependency on Progress Interface

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2011-1-2

Addresses an incorrect dependency in the Python examples for HALCON Steady. The examples mistakenly required the Python language interface for HALCON Progress, which has now been corrected.

```APIDOC
Component: HALCON/PYTHON
Issue: Python examples for HALCON Steady incorrectly required the Python language interface for HALCON Progress.
Fix: Removed the erroneous dependency on the HALCON Progress interface from the HALCON/PYTHON examples.
```

--------------------------------

### General HDevelop Data Code Examples

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2011-0-0

These HDevelop example programs have been updated to incorporate the latest data code reading functionalities, including DotCode support.

```HDevelop
hdevelop/explore_halcon.hdev
```

```HDevelop
hdevelop/Identification/Data-Code/2d_data_codes_default_settings.hdev
```

--------------------------------

### HALCON Instance Segmentation Workflow Example

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2111-0

Reference to an HDevelop example demonstrating the end-to-end workflow for deep learning-based instance segmentation in HALCON. It utilizes specific annotation files.

```HDevelop
hdevelop/Deep-Learning/Instance-Segmentation/dl_instance_segmentation_workflow.hdev
  - Example showing deep learning based instance segmentation.
  - Uses ground truth annotations from: hdevelop/Deep-Learning/Instance-Segmentation/pill_bag_instance_segmentation.hdict
```

--------------------------------

### Extension Packages: useropencl Example Compiler Warnings Fix

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2211-2

Eliminates compiler warnings that appeared in Visual Studio when building the useropencl example within extension packages. This problem has been fixed.

```APIDOC
Extension Packages (useropencl example)
  Description: Fixes compiler warnings in Visual Studio.
  Status: Resolved
```

--------------------------------

### HDevelop Example: Segmentation Model Creation

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2105-0

An HDevelop example program illustrating the creation of a deep learning model for segmentation tasks within the HALCON environment.

```HDevelop
hdevelop/Deep-Learning/Framework/create_dl_model_segmentation.hdev
```

--------------------------------

### HDevelop Example Program Fixes

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2211-3

Details fixes for specific HDevelop example programs, including rare errors and incorrect coordinate system mentions in comments.

```APIDOC
HDevelop Example Programs:
  - calibrate_cameras_monocular.hdev
  - locate_car_door
  - create_planar_calib_deformable_model

Description:
  Corrects issues found in example programs to improve stability and accuracy of documentation.

Issues Fixed:
  - Rare error in 'calibrate_cameras_monocular.hdev'.
  - Erroneous coordinate system references in comments for 'locate_car_door' and 'create_planar_calib_deformable_model'.
```

--------------------------------

### HDevelop Deep Learning Detection Examples

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-1811-0

A collection of HDevelop example programs for deep learning-based pill detection, covering preparation, training, evaluation, and inference.

```HDevelop
hdevelop/Deep-Learning/Detection/detect_pills_deep_learning_1_prepare.hdev
```

```HDevelop
hdevelop/Deep-Learning/Detection/detect_pills_deep_learning_2_train.hdev
```

```HDevelop
hdevelop/Deep-Learning/Detection/detect_pills_deep_learning_3_evaluate.hdev
```

```HDevelop
hdevelop/Deep-Learning/Detection/detect_pills_deep_learning_4_infer.hdev
```

--------------------------------

### HALCON/Python Interface Introduction

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2011-1-0

Introduces the new HALCON/Python language interface, supporting both the HALCON library and HDevEngine. It can be installed via pip and is detailed in the Programmer's Guide. Example programs demonstrate its usage.

```Python
import halcon_python

# Example usage (conceptual)
# For detailed examples, refer to:
# examples/python/consoleapp
# examples/python/matching (HALCON Library)
# examples/hdevengine/python/exec_procedures (HDevEngine)
```

--------------------------------

### HALCON Language Interface Example Program Fix

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2011-2-0

Corrects a bug in the 'ia_callback.cpp' example program for language interfaces, which caused the program to hang upon closing.

```APIDOC
Language Interface Example Programs:

- ia_callback.cpp:
  Fixes the example program 'ia_callback.cpp' to prevent it from hanging when the program is closed.
```

--------------------------------

### HALCON Documentation Updates

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2011-4-0

Details corrections made to HALCON documentation, including improving the discoverability of the silent installation option in the Installation Guide and rectifying incorrect operator precedences in the HDevelop User's Guide.

```APIDOC
Document: Installation Guide
Description: Improved the location and clarity of the silent installation option description.

Document: HDevelop User's Guide
Description: Corrected operator precedences that were previously listed incorrectly.
```

--------------------------------

### HDevelop Example: Explore HALCON Bug Fix

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2011-2-0

Fix for the HDevelop example 'explore_halcon.hdev' which previously threw an exception without a Deep Learning license. A license check has been added.

```HDevelop
hdevelop/explore_halcon.hdev
```

--------------------------------

### HDevelop Multithreading Examples

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-1811-0

HDevelop example programs demonstrating multithreading functionalities, including getting the current HDevelop thread ID and interrupting operators.

```HDevelop
hdevelop/System/Multithreading/get_current_hthread_id.hdev
```

```HDevelop
hdevelop/System/Multithreading/interrupt_operator.hdev
```

--------------------------------

### HDevelop Example Programs

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-1811-4

Lists updated and new HDevelop example programs demonstrating various image acquisition functionalities, including GenTL, GigE Vision, GenICamTL, and USB3Vision interfaces, as well as parameter persistence.

```HDevelop
hdevelop/Image/Acquisition/genicamtl_basler_blaze_objectmodel3d.hdev
  - Example for GenICamTL Basler Blaze object model 3D acquisition.
```

```HDevelop
hdevelop/Image/Acquisition/gstreamer_parameter_persistence.hdev
  - Example demonstrating GStreamer parameter persistence.
```

```HDevelop
hdevelop/Image/Acquisition/gigevision2_parameter_persistence.hdev
  - Example demonstrating GigE Vision 2 parameter persistence.
```

```HDevelop
hdevelop/Image/Acquisition/genicamtl_parameter_persistence.hdev
  - Example demonstrating GenICamTL parameter persistence.
```

```HDevelop
hdevelop/Image/Acquisition/usb3vision_parameter_persistence.hdev
  - Example demonstrating USB3Vision parameter persistence.
```

```HDevelop
hdevelop/Image/Acquisition/usb3vision_information.hdev
  - Example for gathering USB3Vision device information.
```

--------------------------------

### HDevelop Example: Classification Model Creation

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2105-0

An HDevelop example program demonstrating how to create a deep learning model for classification tasks using HALCON's DL framework operators.

```HDevelop
hdevelop/Deep-Learning/Framework/create_dl_model_classification.hdev
```

--------------------------------

### Installation: Environment Variable Registration

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2011-4-0

Addresses an issue where the registration and deregistration of environment variables did not always function correctly during HALCON installation via SOM. This ensures proper environment setup.

```APIDOC
Installation:
  Fix: The registration and deregistration of environment variables did not always work correctly when installing HALCON via SOM. This problem has been fixed.
```

--------------------------------

### New HDevelop Examples

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2211-1

Highlights new HDevelop example programs demonstrating specific functionalities. These include alignment for OCR in semiconductor manufacturing and a workflow for normalized cross correlation (NCC) matching.

```HDevelop
hdevelop/Matching/Shape-Based/alignment_for_ocr_in_semiconductor.hdev
hdevelop/Matching/Correlation-Based/ncc_matching_workflow.hdev
```

--------------------------------

### HALCON Hand-Eye Calibration Example

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2211-1

Introduction to a new HDevelop example program demonstrating hand-eye calibration for robots and stationary 3D sensors using a calibration sphere.

```APIDOC
Hand-Eye Calibration Example:
  - New HDevelop example program: 'hdevelop/Calibration/Hand-Eye/calibrate_hand_eye_stationary_cam_approx_sphere.hdev'.
  - Functionality: Shows how to perform hand-eye calibration for a robot and a stationary 3D sensor, where the calibration sphere is held by the robot.
```

--------------------------------

### HDevelop Examples for GS1 Data Codes

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2011-0-0

These HDevelop example programs have been adapted to support the new GS1 DotCode symbology and utilize new image data for GS1 DotCode.

```HDevelop
hdevelop/Identification/Data-Code/gs1_data_codes.hdev
```

--------------------------------

### HDevelop Deep Learning Examples Usability Improvement

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-1805-0

Enhances the usability of deep learning classification examples ('classify_fruit_deep_learning.hdev' and 'classify_pill_defects_deep_learning.hdev') by adding initial warnings for missing hardware or libraries.

```HDevelop
The usability of the examples hdevelop/Deep-Learning/Classification/classify_fruit_deep_learning.hdev and hdevelop/Deep-Learning/Classification/classify_pill_defects_deep_learning.hdev has been improved. Now, the examples warn the user right at the beginning of the examples if no suitable hardware is found or if the necessary libraries are not found.
```

--------------------------------

### gen_dl_model_heatmap Guided Grad-CAM

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2211-1

The 'gen_dl_model_heatmap' operator has been extended with the 'guided_grad_cam' heatmap method. The reference manual and examples have been updated accordingly.

```APIDOC
gen_dl_model_heatmap:
  - Extended with heatmap method 'guided_grad_cam'.
  - Reference manual and examples updated.
```

--------------------------------

### Get HALCON System File Version

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-1805-0

Retrieves the file version of the HALCON library. This operator can be used to programmatically check the installed HALCON version.

```APIDOC
get_system('file_version', FileVersion)
```

--------------------------------

### HALCON Programmer's Manuals

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/index

Details on programming HALCON, including the general programmer's guide, extension package details, and specific guidance for HALCON on Arm®-based platforms.

```APIDOC
Programmer's Manuals:
  Programmer's Guide: Download PDF
  Extension Package: Download PDF
  HALCON for Arm®-based Platforms: Download PDF
```

--------------------------------

### HALCON USB3Vision Device Information Gathering

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2011-1-0

Introduces an example program to gather system and camera configuration information for USB3Vision devices. This aids in diagnosing and understanding device setups.

```HDevelop
// Example program to gather USB3Vision device information
// Refer to: hdevelop/Image/Acquisition/usb3vision_information.hdev

// Conceptual steps:
// dev_open_device ('USB3Vision', 'Device 0', HDevelop_DeviceHandle)
// get_device_info (HDevelop_DeviceHandle, 'system_info', SystemInfo)
// get_device_info (HDevelop_DeviceHandle, 'camera_config', CameraConfig)
// disp_message (SystemInfo)
// disp_message (CameraConfig)
```

--------------------------------

### HALCON/Python Language Interface Introduction

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2011-0-0

Introduces the new HALCON/Python language interface, supporting both the HALCON library and HDevEngine. It can be installed via pip and usage is detailed in the Programmer's Guide.

```APIDOC
HALCON/Python Interface
  - Description: New language interface for HALCON, supporting HALCON library and HDevEngine. Installable via pip.
  - Installation: pip install halcon-python
  - Usage: Refer to Part IV "Programming With HALCON/Python" in the Programmer's Guide.
  - Examples: examples/python/consoleapp, examples/python/matching, examples/hdevengine/python/exec_procedures
```

--------------------------------

### HDevelop Parameter Persistence Examples

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2011-0-0

A collection of HDevelop example programs demonstrating how to write and load persistence files for parameter values. This functionality is available for individual GenTL Producer modules or the GenTL Consumer when the device is open.

```HDevelop
hdevelop/Image/Acquisition/gstreamer_parameter_persistence.hdev
```

```HDevelop
hdevelop/Image/Acquisition/gigevision2_parameter_persistence.hdev
```

```HDevelop
hdevelop/Image/Acquisition/genicamtl_parameter_persistence.hdev
```

```HDevelop
hdevelop/Image/Acquisition/usb3vision_parameter_persistence.hdev
```

--------------------------------

### HDevelop Example: Structured Light 3D Surface Reconstruction

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2411-1-s

Shows how to reconstruct surfaces using a calibrated structured light setup with HALCON. Utilizes new images from the 'structured_light/cast_part' dataset.

```HDevelop
hdevelop/3D-Reconstruction/Structured-Light/structured_light_3d_surface_reconstruction.hdev
```

--------------------------------

### Query System Parameters and Licenses

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2411-1-s

This HDevelop example program now queries information about the used and available licenses, in addition to system parameters.

```HDevelop
hdevelop/System/Parameters/query_system_parameters.hdev
```

--------------------------------

### HDevelop Example: Optimize DL Model for OpenVINO

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2211-1

An HDevelop example showcasing the use of the OpenVINO AI Accelerator Interface for optimizing deep learning models for inference. It highlights the integration with OpenVINO plugins.

```HDevelop
hdevelop/Deep-Learning/AI2Interfaces/optimize_dl_model_for_inference_classification_openvino.hdev
```

--------------------------------

### HALCON DL Training on CPU

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2011-1-0

Deep-learning-based models for classification, detection, and segmentation can now be trained on CPU for supported x64 platforms. Specific restrictions and details are documented in the Installation Guide and the Operator Reference.

```APIDOC
CPU Training Support:
  - Supported DL model types: Classification, Detection, Segmentation.
  - Target platforms: Supported x64 platforms.
  - Restrictions: Refer to Installation Guide and Operator Reference for details.
```

--------------------------------

### HDevelop GigEVision2 Acquisition Examples

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-1811-0

HDevelop example programs demonstrating GigEVision2 acquisition features, including acquisition events, action control, device lost events, file access, and firmware updates.

```HDevelop
hdevelop/Image/Acquisition/gigevision2_acquisition_events.hdev
```

```HDevelop
hdevelop/Image/Acquisition/gigevision2_action_control.hdev
```

```HDevelop
hdevelop/Image/Acquisition/gigevision2_devicelost_event.hdev
```

```HDevelop
hdevelop/Image/Acquisition/gigevision2_fileaccess.hdev
```

```HDevelop
hdevelop/Image/Acquisition/gigevision2_fwupdate.hdev
```

--------------------------------

### HALCON Deep Learning Random Seed Initialization

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2011-1-0

Fixes a bug where the random seed was not working correctly for the first run in specific deep learning training examples. This ensures reproducible results from the start of training.

```HDevelop
set_random(Seed)
// ... training code ...
// Previously, the random seed might not have been applied correctly on the first run.
// This fix ensures the random seed is effective from the initial execution.
```

--------------------------------

### Get HALCON System File Version

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-1712-0

Retrieves the file version of the HALCON library. This operator is used to programmatically check the installed HALCON version, which is useful for verification and compatibility checks. It takes a generic name and a variable name as parameters.

```HALCON
get_system("file_version", FileVersion)
```

--------------------------------

### Examples: Visual Studio 2005 Project Format

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2011-4-0

Corrects the project file format in the vs2005 directory of the c#/HDevelopTemplate example. The file was not in a proper Visual Studio 2005 format, impacting project usability.

```APIDOC
Examples:
  Fix: The project file in the vs2005 directory of the example c#/HDevelopTemplate was not actually in a proper Visual Studio 2005 format. This problem has been fixed.
```

--------------------------------

### Determine DL Model Detection Parameters

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2011-1-0

The HDevelop object detection example program now demonstrates the usage of the new procedure `determine_dl_model_detection_param`. This procedure generates optimal model parameters by analyzing the dataset, aiding in the setup of deep learning object detection models.

```APIDOC
determine_dl_model_detection_param:
  Generates model parameters for deep learning object detection by analyzing the dataset.
  Purpose: Automates the process of finding suitable parameters for object detection models.
  Input: Dataset information.
  Output: Optimized detection parameters.
```

--------------------------------

### HALCON Basic Concepts Introduction

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2411-1-s

Provides an introduction to fundamental HALCON concepts including images, regions, domains, and tuples.

```HDevelop
hdevelop/halcon_basic_concepts.hdev
```

--------------------------------

### HALCON Deep Learning Dict Syntax Operators

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2211-0

Operators adapted for the new dictionary syntax in HALCON's deep learning examples. These include functions for creating, setting, and getting data from dictionaries, replacing older syntax.

```APIDOC
create_dict()
  - Creates a new dictionary.

set_dict_tuple(Dict, TupleName, Value)
  - Sets a tuple value in a dictionary.

get_dict_tuple(Dict, TupleName)
  - Retrieves a tuple value from a dictionary.

get_dict_object(Dict, ObjectName)
  - Retrieves an object (e.g., image, region) from a dictionary.
```

--------------------------------

### HDevelopTemplate Example Crash Fix

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2011-3-0

Resolves a crash in the HDevelopTemplate example that occurred when the application was closed while running. This ensures the example program terminates gracefully.

```APIDOC
HDevelopTemplate Example:
  - Fix: Crashed when the application was closed while running.
```

--------------------------------

### Digital I/O Interfaces: Latest Information Reference

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2211-2

Provides guidance on where to find the latest information regarding new interface revisions and supported digital I/O interfaces, directing users to MVTec's web server and specific release notes.

```APIDOC
Digital I/O Interfaces
  Description: Refer to MVTec's web server for latest revisions and interface support.
  Reference: https://www.mvtec.com/products/interfaces/
```

--------------------------------

### HDevelop Example Program Updates

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2405-0

HDevelop example programs have been updated to fix erroneous coordinate system references in their comments. This ensures accuracy in the documentation accompanying the examples.

```APIDOC
Example Programs:
  - locate_car_door
  - locate_engine_parts
  - create_planar_calib_deformable_model
  - intersection_region_contour_xld
  - train_generic_shape_model_sample_workflow
  - Updates include fixing erroneous coordinate system mentions in comments for the first three examples.
```

--------------------------------

### HDevelop Example: Deep OCR Workflow with Tiling and Japanese Dates

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2211-1

An extended HDevelop example demonstrating the Deep OCR workflow, including the use of automatic tiling for large images and recognition of Japanese due dates.

```HDevelop
hdevelop/OCR/Deep-OCR/deep_ocr_workflow.hdev
```

--------------------------------

### Image Acquisition Interfaces: Latest Information Reference

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2211-2

Provides guidance on where to find the latest information regarding new interface revisions and supported devices for Image Acquisition Interfaces, directing users to MVTec's web server and specific release notes.

```APIDOC
Image Acquisition Interfaces
  Description: Refer to MVTec's web server for latest revisions and device support.
  Reference: https://www.mvtec.com/products/interfaces/
```

--------------------------------

### DL Classification Workflow Examples

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2011-1-0

A set of HDevelop example programs illustrating the refactored deep learning-based classification workflow. These examples cover preprocessing, training, evaluation, and inference, using the same operators as object detection and semantic segmentation.

```HDevelop
hdevelop/Deep-Learning/Classification/classify_pill_defects_deep_learning_1_preprocess.hdev
```

```HDevelop
hdevelop/Deep-Learning/Classification/classify_pill_defects_deep_learning_2_train.hdev
```

```HDevelop
hdevelop/Deep-Learning/Classification/classify_pill_defects_deep_learning_3_evaluate.hdev
```

```HDevelop
hdevelop/Deep-Learning/Classification/classify_pill_defects_deep_learning_4_infer.hdev
```

```HDevelop
hdevelop/Deep-Learning/Classification/dl_classification_workflow.hdev
```

--------------------------------

### HDevelop Example: Paddle Game

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-1805-0

Introduces a new HDevelop example program, 'paddle_game.hdev', allowing users to play a paddle game with one or two players using live images and augmented reality.

```HDevelop
The HDevelop example hdevelop/Applications/General/paddle_game.hdev has been added. With this example, it is possible to play the paddle game with one or two players, using live images and augmented reality.
```

--------------------------------

### HALCON HDevelop Example Fix

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2011-4-0

This entry describes a fix applied to a specific HDevelop example program used for robot vision applications. The example 'pick_and_place_with_2d_matching_moving_cam.hdev' had an issue with correctly rectifying model images for matching and robot approach poses.

```APIDOC
hdevelop/Applications/Robot-Vision/pick_and_place_with_2d_matching_moving_cam.hdev
  - Fix: Did not correctly rectify the model images for matching and robot approach poses.
```

--------------------------------

### GenICam TL Basler Blaze Object Model 3D Example

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2011-0-0

This HDevelop example program demonstrates working with the Basler Blaze 3D camera using the GenICam Transport Layer (TL). It replaces the previous tof object model example.

```HDevelop
hdevelop/Image/Acquisition/genicamtl_basler_blaze_objectmodel3d.hdev
```

--------------------------------

### HDevelop 3D Object Model Segmentation Example

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-1811-0

An HDevelop example program for segmenting 3D objects.

```HDevelop
hdevelop/3D-Object-Model/Segmentation/measure_plant.hdev
```

--------------------------------

### HDevelop Example: Calibration Image Quality Check

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-1805-0

Adds a new HDevelop example, 'check_calib_image_quality.hdev', which includes procedures for evaluating the quality of calibration images, similar to HDevelop's Calibration Assistant.

```HDevelop
The HDevelop example hdevelop/Calibration/Multi-View/check_calib_image_quality.hdev has been added. This example program includes different procedures that can be used to evaluate the quality of calibration images, similar to the Calibration Assistant included in HDevelop.
```

--------------------------------

### HALCON HDevelop DL Example Batch Size Adjustments

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2105-0

Several HDevelop Deep Learning examples have been updated to utilize the maximum batch size suitable for GPU usage. Conversely, one detection example has had its maximum batch size usage removed.

```HALCON
# HDevelop DL Classification Examples (Max Batch Size for GPU):
# hdevelop/Deep-Learning/Classification/classify_pill_defects_deep_learning_2_train.hdev
# hdevelop/Deep-Learning/Classification/dl_classification_workflow.hdev
# hdevelop/Deep-Learning/Segmentation/dl_segmentation_workflow.hdev
# hdevelop/Deep-Learning/Segmentation/segment_pill_defects_deep_learning_2_train.hdev

# HDevelop DL Detection Example (Max Batch Size usage removed):
# hdevelop/Deep-Learning/Detection/detect_pills_deep_learning_2_train.hdev
```

--------------------------------

### HALCON Reference Manual

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/index

Provides the complete reference for HALCON operators and functions. Available as a PDF download or for online reading.

```APIDOC
Reference Manual:
  Download PDF: /fileadmin/Redaktion/mvtec.com/products/halcon/documentation/reference/reference_hdevelop.pdf
  Read online: https://www.mvtec.com/doc/halcon/2505/en/ (requires Javascript)
```

--------------------------------

### set_fuzzy_measure Example Fix

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-1811-0

Corrected an example snippet for the 'set_fuzzy_measure' operator where an original function was used instead of the transformed one.

```APIDOC
Operator: set_fuzzy_measure

Description:
  Sets parameters for fuzzy measures.

Example Fix:
  - The example snippet incorrectly used the original function instead of the transformed function.
```

--------------------------------

### HALCON Deep Learning Segmentation Example

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-1811-0

Example demonstrating the use of deep learning for semantic segmentation of pill defects.

```HDevelop
*
* Example: segment_pill_defects_deep_learning_4_infer.hdev
*
* This HDevelop example shows how to use deep learning based semantic segmentation in HALCON.
* It utilizes pretrained models and preprocessing parameters for inference.
*
* Dependencies:
*   - Pretrained model: examples/hdevelop/Deep-Learning/Segmentation/segment_pill_defects.hdl
*   - Preprocessing parameters: examples/hdevelop/Deep-Learning/Segmentation/segment_pill_defects_preprocess_param.hdict
*   - Ground truth annotations: examples/images/labels/pill
*
* System Requirements:
*   Special system requirements apply, including third-party library installations.
*
* Procedure:
*   1. Load the pretrained segmentation model.
*   2. Load preprocessing parameters.
*   3. Read annotation data using read_dl_dataset_segmentation.
*   4. Preprocess the dataset for inference.
*   5. Apply the DL model for segmentation.
*   6. Visualize the segmentation results.
*
* Note:
*   This example focuses on inference. Training is a separate, time-consuming process.

```

--------------------------------

### HALCON YOLO Detection Example

Source: https://www.mvtec.com/products/halcon/work-with-halcon/documentation/release-notes-2505-0

Provides a reference to an example HDevelop script for performing object detection using YOLO models.

```hdevelop
// Example HDevelop script for YOLO detection inference
// Guides through the workflow of using trained YOLO ONNX models
// Path: hdevelop/Deep-Learing/Detection/dl_detection_inference_yolo.hdev
```
Tokens:
Raw