Welcome to Mech-DLK SDK User Manual. Let’s get started!


Mech-DLK SDK is a secondary development software kit specifically designed to be used with Mech-DLK. Its main purpose is to help developers easily do deep learning inference in their software systems. With Mech-DLK SDK, developers can rapidly deploy deep learning models and flexibly integrate deep learning functionality into their own applications without reliance on Mech-Vision. You can use the provided APIs to build applications in C and C# languages.

You can apply Mech-DLK SDK for the inference based on models exported from Mech-DLK (version 2.4.2 or above).

Release notes

Mech-DLK SDK 2.0.1

New features

Configuration adjustment

  • Changed the ways of adding environment variables for running samples provided in Mech-DLK SDK. For more details, see the Add environment variables parts in the sample usage guide.

Bug fix

  • Fixed the result parsing problem that occurred during inference using the defect segmentation model.


This manual consists of the following chapters. Click to view the details according to your needs:

No. Chapter Content


Installation guide

View the system requirements and obtain Mech-DLK SDK and the third-party libraries and resources it depend upon.


Get started

Learn to use Mech-DLK SDK for inference with a defect segmentation model.


Sample usage guide

Learn about the types of samples and prerequisites to run these samples and build and run these samples.


API reference

View APIs and structures in C and C# languages.



View the frequently asked questions.