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
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Added C, C++, and C# APIs for the Unsupervised Segmentation module.
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Added C, C++, and C# APIs for the Text Detection module.
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Added C, C++, and C# APIs for the Text Recognition module.
Bug Fixes
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Fixed the index issue that occurred when parsing the result of multi-image inference.
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Fixed the issue of abnormal results caused by creating the same inference engine for multiple times.
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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 |
View the system requirements and obtain Mech-DLK SDK and the third-party libraries and resources it depend upon. |
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2 |
Learn to use Mech-DLK SDK for inference with a defect segmentation model. |
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3 |
Learn about the types of samples and prerequisites to run these samples and build and run these samples. |
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4 |
See the API reference of multiple languages. |
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5 |
View the frequently asked questions. |