Mech-DLK SDK

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

Overview

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#, 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 2.0.3

New Features

  • Added C, C++, and C# APIs for the Unsupervised Segmentation module.

  • Added C, C++, and C# APIs for the Text Detection module.

  • Added C, C++, and C# APIs for the Text Recognition module.

Bug Fixes

  • Fixed the index issue that occurred when parsing the result of multi-image inference.

  • Fixed the issue of abnormal results caused by creating the same inference engine for multiple times.

  • Added required third-party DLLs.

Contents

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

No. Chapter Content

1

Installation Guide

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

2

Get Started

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

3

Sample Usage Guide

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

4

API Reference

See the API reference of multiple languages.

5

FAQs

View the frequently asked questions.

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