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.
Mech-DLK SDK version 2.1.0 and later can perform inference on models exported from Mech-DLK version 2.6.0 and later. Mech-DLK SDK version earlier than 2.1.0 can perform inference on models exported from Mech-DLK version 2.4.2 - 2.5.4. |
Release Notes
Mech-DLK SDK 2.1.0
New Features
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Supported the Fast Positioning algorithm of Mech-DLK 2.6.0.
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Supported the use of Sentinel LDK as the software license system.
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Provided detailed error messages to help resolve errors related to software license versions.
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Increased the maximum number of models that can be used from 10 to 32.
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Upgraded the OpenVINO version to enhance CPU inference speed.
Bug Fix
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Fixed the issue in cascaded models where the Defect Segmentation model produced abnormal inference results when the output of the preceding model was empty.
Contents
This manual consists of the following chapters. Click to view the details according to your needs:
No. | Chapter | Content |
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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 |
View the API reference of multiple languages. |
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5 |
View the descriptions and solutions for the error codes. |
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6 |
View the frequently asked questions. |
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7 |
View the operations related to software licensing. |