Introduction to YOLOv8 Practical Chinese Traffic Sign Recognition Course

YOLOv8 Instance Split Practice: Course Introduction

This course is dedicated to guiding students to use the U-Net V8 framework to split instances of custom data sets, with special attention to the driving scenarios. U-Net V8 uses improved backbone, neck and decoupling head to improve gradient flow, and combines new training strategies such as task alignment and distributed focus loss function to enhance detection accuracy. It will also introduce the basic knowledge of case segmentation, performance indicators and the history of YOLO series. The course covers software environment construction, data annotation, format conversion, training optimization and practical application, and finally realizes real-time high-precision target segmentation. It is suitable for computer vision beginners, image processing engineers, deep learning researchers, automatic driving technology developers and visual algorithm designers.

Why use the server to train yolo dataset? I understand the speed!

This section shows the efficient performance of the server when processing large-scale datasets, highlighting its practicability in the fast training process. The processing speed of 4893 data sets is mentioned in the article. The average training time per round is more than 30 seconds, which shows the advantages of the server in the field of machine learning. In addition, the data validation process is also introduced to confirm the quantity matching between the training set and the validation set. For developers and machine learning engineers who pursue training efficiency and accuracy, server training provides a compelling solution.

YOLOV5 environment construction

The course aims to teach zero level students the whole process of using YOLOv5 for custom object detection, including annotation and format conversion of data sets, and explain how to configure YOLOv5 data and model files to achieve migration learning. The method of deploying the model to the edge and end side is explained, and the CPU optimization is realized with OpenMMLab. In addition, the historical background of YOLO series models and the introduction of YOLOv5 model architecture are provided. The course covers the whole contents from environment building, software installation, to model training and deployment, and is suitable for students with basic program development and preliminary understanding of in-depth learning to carry out practical operation learning.

Teachers in the middle reaches of the Yangtze River Easy Language Teaching Chapter 5 Lesson 5 API - Take Mouse Position Window Handle-1

This video mainly introduces how to use API to obtain mouse position coordinates and window handles, and convert screen coordinates to window coordinates. Through practical demonstration, this paper explains the creation and use of dynamic link library, and how to obtain and operate window handles through API. The video content is suitable for those who have some programming foundation, especially those who are interested in API and window operation.

Everyone has his own agent! Principle and implementation of building local open source big language model agent from 0 to 1

This sharing mainly introduces the working principle of agent and its application in technology implementation. An agent is compared to a complete person with hands, feet and senses, who can perform tasks according to the instructions of the brain. Through the local big language model, combined with the VLLN framework, agents can call tools, search, execute code, and have memory functions. The sharing also discussed the action decision-making process of agents when solving problems, and how to interact with tools through JSON format. In addition, it also demonstrated the use of search engines and AI painting tools, and finally demonstrated the complete process of agents performing tasks. These contents are suitable for technicians interested in artificial intelligence, natural language processing and agent design.

[Workplace Secrets] How to spend the probation period safely? Come and get the "security strategy" for the trial period!

The key to safely passing the probation period in the workplace is to clarify personal orientation and proactive work attitude. A successful case describes how a student with good eloquence was dismissed due to over packaging himself, resulting in mismatched positions, while a failure case describes how he was dismissed for many times due to lack of active communication and team cooperation, even though he has strong technical ability. From these cases, it can be seen that for newcomers, they should not only truly demonstrate their technical level, but also actively integrate into the team and maintain good communication with colleagues around them. In addition, timely reporting of work progress to the superior and taking the initiative to seek help when encountering problems are also important factors to ensure the smooth passing of the probation period. Adapting to the workplace requires not only solid technical skills, but also good working attitude and communication and collaboration ability.

Do you still search data sets on Baidu? Remember that this place has all kinds of data!

In the context of increasingly pressing demand for fast access to accurate data, traditional search engines and social media platforms are often unsatisfactory due to the endless emergence of advertisements and routines. In order to solve the problem of data shortage and digital talent matching in the industry, the "cover" platform came into being. The platform gathers a large amount of data accumulated by various industries, and actively builds a bridge between digital needs and solution providers. By submitting data and providing bonus incentives, the platform encourages technicians to provide innovative solutions. In addition, the platform not only provides data resources, but also includes source code and complete project support, providing all-round support for data analysis and project development. It is suitable for professionals who are interested in data analysis, technology solution development and digital transformation.

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