# Documentation Updates

## VisionPro Deep Learning 3.0

- The document structure and contents organization is reformed for the clear understanding, quick and easy access to the necessary contents, and future enhancement and rearrangement of the contents.

- Fixed a typo "8192x819" to "8192x8192" in Known Issues - Tools - General section

- Fixed contents into that the Expert Mode does not support Edit Mask and Edit Region in Red Analyze . For example, see Edit Mask (Optional)

- Updates about Adaptation Modes

  - Adaptation Mode: Adapting to Line Variation

  - General Workflow

  - Green Classify High Detail Mode Parameter

  - Red Analyze High Detail Mode Parameter

- Updates About Label Check

  - Optimize Labeling with Label Check

- Updates on Parameter Search and its Auto mode.

- Parameter Search

- Manual Mode Workflow

- Auto Mode Workflow

- Updates on VisionPro Deep Learning GUI refinement

- GUI and API

- Interpret Results (all tools)

- Updates on Red Analyze High Detail Validation Loss Formula

  - Validation Set and Validation Loss

- Updates about Indicators (Training Set Indicator, Validation Set Indicator) on Image Display Area, Updates about Filters for Validation Set

  - GUI Overview

  - Prepare Validation Set

  - Prepare Validation Set

  - Default Display Filters

  - Tool-Specific View-Level Variables

- Updates about View Browser List Mode for all tools

  - Define Region of Interest (ROI) and Mask to Construct View (all tools)

  - Collect Images (all tools)

  - Create an Image Sample Set (all tools)

  - Modify Training Set (all tools)

  - Review Markings (Red Analyze, Green Classify)

  - Create Label (Labeling) (Red Analyze, Green Classify)

  - View Browser - Grid Mode

  - View Browser - List Mode

- Updates about TensorRT for Runtime API and Batch Processing for Runtime Green Classify

  - API Changelog

- Updates about Cognex Label Import/Export Plugin

  - Cognex Label Import/Export Plug-in

- Updates about Image Processing Logic Change for Red Analyze High Detail

  - Configure Processing Parameters

- Updates about Minimum Image Size for Green Classify High Detail and Red Analyze High Detail.

  - Collect Images

  - Collect Images (Red Analyze High Detail)

- Updates about Validation Loss Scale Change

  - Validation Set and Validation Loss

  - Validation Set and Validation Loss

- Updates about Image Resize Improvement for Green Classify High Detail

  - Resize

- Removing Red Analyze High Detail Quick Contents

  - Removal of Red Analyze High Detail Quick

- Removing Stride parameter from Red Analyze High Detail Training parameters

  - Training Parameters

- Updates about Migrating SuaKIT Segmentation and Classification Projects into VisionPro Deep Learning

  - Import a SuaKIT Segmentation Project

  - Import a SuaKIT Classification Project

- Updates on FAQ

- Updates on VisionPro Deep Learning 3.0 Known Issues

  - Tools - Red Analyze

  - Tools - Green Classify

  - Parameter Search

  - GPU

- Updates on VisionPro Deep Learning 2.1 Known Issues

  - Parameter Search

- Updates on High Detail training logic regarding Patience Epochs and Minimum Epochs in Training parameters.

  - Training Parameter Details: Patience Epochs & Minimum Epochs

- Updates on Best Epoch update logic in Loss Inspector

  - Status Variables

- Updates on the compatible VisionPro version

  - Integration with Cognex VisionPro

- Updates on the GPU driver versions for NVIDIA RTX / Quadro® / Data Center driver

  - Pre-requisites: NVIDIA® GPU Driver

- Updates on Designer Plug-in support

  - Using Runtime Workspace with Cognex Designer

## VisionPro Deep Learning 2.1

- Updates on Red Analyze Tool and Green Classify Tool for newly added High Detail Quick modes

- Updates on Edit Deployment Target page that introduces the CIE1 deployment is no longer available

- Updates on Parameter Search and Use the Parameter Search Utility

- Updates on Image File and Format Requirements.

- Updates on the contents explaining statistical results

  - Statistics

  - False Positive and False Negative Results

  - Blue Locate Tool – Statistics

  - Blue Read Tool – Statistics

  - Green Classify Tool – Confusion Matrix

  - Green Classify Tool – F Score

  - Red Analyze Tool – Statistics – Confusion Matrix

  - Red Analyze Tool – Statistics – Region Area Metrics

- Updates on the model scores for Blue Locate/Read

  - Blue Locate Tool – Node Model

  - Blue Locate Tool – Layout Model

  - Blue Read Tool – Node Model

  - Blue Read Tool – Regex Model

  - Blue Read Tool – String Model

- Updates on C#, C++ example codes (...\ProgramData\Cognex\VisionPro Deep Learning\2.1\Examples\). There were many improvements in example codes and some of the notable changes are:

  - The unit of angle for input is changed from "degree" to "radian" (example: Perturbation of Red Analyze)

  - For Green Classify, the codes that load label information per image is added.

  - The parameter path used for vidi_runtime_get_parameter() and vidi_runtime_set_parameter() is changed to be a "full path" which should include "tool/" within it.
    Example: "workspaces/(workspace_name)/streams/(stream_name)/tools/(tool_name)/tool/processing/sampling_density"

    Note: When either "roi/", "runtime_parameters/", or "post_process_parameters/" are used in the parameter path, this path should not include "tool/".
    Example 1: "workspaces/(workspace_name)/streams/(stream_name)/tools/(tool_name)/roi/..."
    Example 2: "workspaces/(workspace_name)/streams/(stream_name)/tools/(tool_name)/runtime_parameters/..."

- Updates on page contents.

## VisionPro Deep Learning 2.0

- Updates for VisionPro Deep Learning 2.0 release

  - The documentation for the integration with Cognex Designer is no longer provided

## VisionPro Deep Learning 1.1

- Updates for VisionPro Deep Learning 1.1 release

- Designer Plugin script examples for each tool have been updated for VisionPro Deep Learning 1.1.

- Updates of the comments in C#, C++ example codes (...\ProgramData\Cognex\VisionPro Deep Learning\1.1\Examples\)

- Updates about how to use multiple GPUs for VisionPro Deep Learning in Multiple GPUs Utilization.

- Updates about the introduction to the various training parameters for VisionPro Deep Learning in Training Parameters

- Updates about how to import SuaKIT projects in Import SuaKIT Project.

## VisionPro Deep Learning 1.0.1

- Updates for VisionPro Deep Learning 1.0.1 release

- Updates for Migrating To This Release

  The migration records from ViDi Suite 3.4 to ViDi Suite 4.1.0 have been reorganized for the correct migration history.

Note: You can access the latest VisionPro Deep Learning Help on the Cognex Support website: https://support.cognex.com/en/documentation/deep-learning