C++

KiCad 7.99 Source Code Learning Notes (2) – Length Adjustment Calculation

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KiCad 7.99 Source Code Learning Notes (2) - Length Adjustment Calculation

Code version: 9db1dd5ec5f20d301af076301b8853b7a133eed5 Call Trace After enabling the Length Tuning Tool, it is linked to DRAWING_TOOL::PlaceTuningPattern through the corresponding binding in DRAWING_TOOL::setTransitions (pcbnew/tools/drawing_tool.cpp). Here is a snippet of the event loop handling code. When the cursor is placed over a certain line, the Length Tuning tool displays the length of that line, and the code … Read more

Deploying PyTorch Models Using C++

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Deploying PyTorch Models Using C++

↑ ClickBlue Text Follow the Jishi Platform Author丨Civ@Zhihu (Authorized) Source丨https://www.zhihu.com/question/66532235/answer/2782357337 Editor丨Jishi Platform Jishi Guide This article uses the C++ inference framework ncnn as an example to introduce the general deployment process. The approach is similar for other C++ inference frameworks, with the only learning cost being the API of the inference framework itself. >> Join … Read more

OpenCV: An Image Recognition Engine

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OpenCV: An Image Recognition Engine

OpenCV, an image recognition engine, is an open-source computer vision library. The name comes from “Open Source Computer Vision Library,” and it is well-known in the fields of image processing and machine vision. With OpenCV, we can easily read, edit, and analyze images. Supported features include image filtering, edge detection, shape recognition, face detection, and … Read more

Phidata: Framework for Building AI Assistants Using LLM Function Calls

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Phidata: Framework for Building AI Assistants Using LLM Function Calls

  Phidata: A framework for building AI assistants using LLM function calls, allowing LLMs to intelligently choose actions based on responses by executing functions. The assistant has built-in memory, knowledge, storage, and tools, making it easy to build various applications such as knowledge assistants, data assistants, Python assistants, customer assistants, research assistants, marketing assistants, travel assistants, … Read more

Why Is PyTorch So Efficient and Easy to Use? Exploring the Framework’s Internal Architecture

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Why Is PyTorch So Efficient and Easy to Use? Exploring the Framework's Internal Architecture

Selected from blog.christianperone Author:Christian S. Perone Translated by: Machine Heart Contributors: Siyuan, Huang Xiaotian, Li Zenan As a deep learning framework supported by Facebook’s Artificial Intelligence Research (FAIR) team, PyTorch has rapidly become a popular development tool since its launch in January 2017. Its advantages in debugging, compilation, and other aspects have made it widely … Read more