# Migrating to This Release

This topic contains information about changes that may affect existing VisionPro Deep Learning projects when migrating projects from previous releases to the current release.

## Release - VisionPro Deep Learning 1.1.0 - 2.0

## The End of Designer Support

The integration with Cognex Designer is no longer supported from VisionPro Deep Learning 2.0. For this particular update, the users who are required to use Designer should use VisionPro Deep Learning 1.1.

## Past Releases - VisionPro Deep Learning 1.0.1 - 1.1.0

## Change in Validation Loss Calculation

The base of calculating the Validation Loss in High Detail modes (Red Analyze and Green Classify) is changed from 128 iterations to 0.125 epochs. According to this change, the Patience parameter, which was calculated on 128 iterations (N times of 128 iterations) basis, is no longer used in High Detail modes and a new parameter named Patience Epoch is used instead. This new parameter is calculated on an epoch basis (N epochs). For the Green Classify High Detail tools already trained, you have to reconfigure the value of Patience Epoch manually due to this base change.

## Loss Tracking in Log Messages

The records of the validation loss in High Detail modes (Green Classify and Red Analyze High Detail) are no longer available in Log Messages as its function of providing the validation loss history is replaced with the Loss Inspector.

## Region Filter for Confusion Matrix

For all Red Analyze tools, the region filter is now also applied to the result of the confusion matrix. This application of the region filter is either performed by using filtered() expression.

## Past Releases - VisionPro Deep Learning 1.0.0 - 1.0.1

The workspaces created in VisionPro Deep Learning 1.0.0 are fully compatible with VisionPro Deep Learning 1.0.1

## Past Releases - ViDi 4.1 to VisionPro Deep Learning 1.0.0

## Architecture of Existing Green Classify Tool

When you open workspaces created from previous version (ViDi Suite) and if there is a Green Classify Tool, you would see as a Green Classify Tool in Focused mode. Existing architecture of Green Classify Tool is called Focused mode and a new architecture of Green Classify Tool is called High Detail mode.

## Keeping Existing names of APIs

Since VisionPro Deep Learning inherits ViDi, it retains the name ViDi in many parts of the APIs

## Internal version of APIs

Product version is 1.0.0 but, 5.0.0 is used for the version in APIs and binaries.

## No longer supported or Deprecated APIs

GPUMode.MultipleDevicesPerTool is no longer supported. For more information, see Breaking Changes to the API .

You can see deprecated APIs here(C and .NET API Deprecated and Removed Feature).

## Changes to Designer functionality

A project built with the 4.1 (or previous) version of the Designer Deep Learning Plugin is not compatible with the Cognex Deep Learning Plugin. To force the correct plugin to be used, use the Project Plugin Configurator in Designer’s Utilities.

You cannot train in Designer, you can import Cognex Deep Learning Studio Runtime Workspace(.vrws file) created from Cognex Deep Learning Studio 1.0 and process the images.

The Runtime Block includes only one output pin. Individual Tools in the Tool Chain are not visible in the UI. And there are no preconfigured result pins so you need script for every single application.

Deep Learning Runtime Block does not support an External Fixture.

## Past Releases - ViDi 3.4.1 to 4.1

## Changes to the Feature Filter Syntax

In the 4.1.0 release, the syntax for the Feature Filter Processing tool parameter was modified. If you were using width and height in your expression, they must now be qualified with view, such as view.width and view.height.

For example, in version 3.2 and earlier, syntax used to limit the found features to those where the center of the feature lies within the ROI would have been the following:

x < width and x > 0 and y > 0 and y < height

In 4.1.0 and later, it must now be expressed as the following:

x < view.width and x > 0 and y > 0 and y < view.height

Note:

This syntax can also more easily be expressed by using the in operator. For example, the following syntax could be used to simplify the expression:

x in [0,view.width] and y in [0,view.height]

## Past Releases - ViDi 3.4.0 to 3.4.1

## Changes to the Viewing of Overlay Graphics

In the 3.4.1 releases, the keyboard shortcuts used to show and hide overlay graphics in the Image Display Area have been changed. The new keystrokes are the following:

- The Alt key plus the Right Arrow key or the Alt key plus the Left Arrow key

These are used to cycle through the available combinations of display graphics (labels, markings, labels and markings, or no overlay graphics).

In previous releases, the space bar could be used to show or hide all overlay graphics, but that is no longer supported.

## Past Releases - ViDi 3.3 to 3.4.0

## Changes to Tool Training Workflow

In the 3.4.0 release, there is a new method for specifying the images/views that will be used to train a tool. If you will be re-training a tool that was trained in a previous release, you will need to configure the tool to use the new training set paradigm, via the Select Training Set dialog. Please refer to the Training Set and Use the Select Training Set Dialog topics.

## C Library Overlay Function Deprecation

VisionPro Deep Learning provides two mechanisms, the C API and the .NET API, to display result graphics. However, the following C library overlay graphics functions are being deprecated in this release, and will be removed in the following release:

- vidi_training_tool_get_overlay ();
- vidi_runtime_sample_get_overlay ();
- vidi_runtime_get_overlay ();
- vidi_training_sample_get_overlay();

To access the overlay graphics in the future, you will need to use either Cognex Designer, the .NET API or In-Sight VisionPro Deep Learning.

## Past Releases - ViDi 3.2 to 3.3

- Importing workspace archives created with version 2.1 and older is not supported. If you are migrating from VisionPro Deep Learning Suite version 2.1 or older, you must first import and then export your workspaces using version 3.0, 3.1, 3.2, or 3.2.1 before you can import them into VisionPro Deep Learning 3.3.0.

- VisionPro Deep Learning 3.3.0 requires the use of an NVIDIA driver version greater than or equal to 411.31.

  To obtain the updated NVIDIA drivers, visit: https://www.nvidia.com/download/find.aspx

  For more information on VisionPro Deep Learning driver compatibility, visit: https://support.cognex.com/en/downloads/detail/deep-learning/3763/1033

- The Client/Server functionality in VisionPro Deep Learning 3.3.0 has been updated to use the HTTP communication protocol, and no longer supports the TCP protocol. To use the new HTTP protocol in your client/server application, you must upgrade both the client and server to VisionPro Deep Learning 3.3.0. There is no cross-version client/server compatibility (e.g. clients running 3.2.1 can only connect to servers running 3.2.1, and clients running 3.3.0 can only connect to servers running 3.3.0).

  Note: HTTP communications generally provide better throughput for run-time image processing. However, for high-latency network topologies, HTTP communications may increase interface latency during training and development.

## Past Releases - ViDi 3.1 to 3.2

### C Library Function Deprecation

A number of C library functions were deprecated, as follows:

- Runtime functions

  Note: The deprecated functions are located in a new vidi_runtime_legacy.h header file.

  Previous Version | New Version
  --- | ---
  vidi_runtime_get_overlay | Not available
  vidi_runtime_process_sample | vidi_runtime_sample_process
  vidi_runtime_get_image | vidi_runtime_sample_get_image

- Training functions

  Note: The deprecated functions are located in a new vidi_training_legacy.h header file.

  Previous Version | New Version
  --- | ---
  vidi_training_stream_process_sample | vidi_training_sample_process
  vidi_training_blue_add_feature | vidi_training_blue_set_feature
  vidi_training_blue_add_model | vidi_training_blue_create_model
  vidi_training_tool_set_mask | vidi_training_roi_set_mask
  vidi_training_tool_get_mask | vidi_training_roi_get_mask
  vidi_training_ini_sample | vidi_training_add_sample
  vidi_training_process_sample | vidi_training_sample_process

### NuGet Package Deprecation

The use of NuGet packages have been deprecated, and are no longer included in the VisionPro Deep Learning installer. If you have runtime and/or training applications that reference the NuGet packages from an earlier VisionPro Deep Learning release, you will need to remove those references, and replace them with references to the .NET .dll libraries, instead.

To remove NuGet packages in Visual Studio, select Tools -> NuGet Package Manager -> Manage NuGet Packages for Solution...

To add the .NET .dlls, in your project, right-click and select Add -> Reference.

## Past Releases - ViDi 3.0 to 3.1

- For the Blue Locate Tool, a change was made in the behavior of X and Y position clamping when using model matching. In version 2.1, these constraints were interpreted to apply to the position of the origin of the model coordinates. In version 3.0, they are interpreted as constraints on the position of the centroid of the nodes in the model.