Scope and precompilation, variable promotion process, scope and scope chain knowledge Article directory Scope and precompilation, variable promotion process, scope and scope chain knowledge Preface 1. Function function 1.1 How to define functions 1.2 Composition form 2. Pre-compilation 2.1 Global precompilation 2.2 Partial precompilation 2.3 Precompilation steps 3. Scope and scope chain 3.1 Scope 3.2 […]
Tag: motion
“Charming” Fanzhi promotional website based on SSM+Vue
Get the source code at the end Development language: Java Java development tools: JDK1.8 Backend framework: SSM Front-end: developed using Vue technology Database: MySQL5.7 combined with Navicat management tool Server: Tomcat8.5 Development software: IDEA/Eclipse Is it a Maven project: Yes Table of Contents 1. Project Introduction 2. Demand analysis 3. System project screenshots Administrator function […]
2023.03.20P4710 “Physics” Flat throwing motion
Question portal: [Luogu] P4710 [Physics] Flat throwing motion Step 1: Pre-package cheese Here are the cheeses you need to know and understand: math: Trigonometric functions; physics: acceleration formula; Displacement formula; So if you don’t know the above cheese, then please continue reading below; if you already know the above cheese, then please skip to “Step […]
[Kinematics] Based on three motion model trajectories of CV, CA and CT with Matlab code
?About the author: A Matlab simulation developer who loves scientific research. He cultivates his mind and improves his technology simultaneously. For cooperation on MATLAB projects, please send a private message. Personal homepage: Matlab Research Studio Personal credo: Investigate things to gain knowledge. For more complete Matlab code and simulation customization content, click Intelligent optimization algorithm […]
Meta launches pixel-level motion tracking model, simple version can be played online | GitHub 1.4K stars
Cresi from Ao Fei TempleQubits | Public account QbitAI Video motion tracking is accurate to every pixel! Meta’s latest video tracking tool, CoTracker, gained 1.4k stars on GitHub not long after its release. Judging from several officially released DEMOs, the effect is still shocking. In an equestrian competition, the horse gracefully crosses obstacles under the […]
Fine-tuning the deberta-v3-large model for text classification using the emotion dataset
Concept Dataset: 1. SetFit/emotion at main Model: 1. microsoft/deberta-v3-large · Hugging Face (Note: I download the data sets and models locally) Fine-tuning Code: from datasets import load_dataset from sklearn.metrics import accuracy_score,f1_score from transformers import Trainer,TrainingArguments from transformers import AutoModelForSequenceClassification,AutoTokenizer tokenizer = AutoTokenizer.from_pretrained(“deberta-v3-large”) model = AutoModelForSequenceClassification.from_pretrained(“deberta-v3-large”,num_labels=6) emotions = load_dataset(“emotion”) def tokenize(batch): return tokenizer(batch[“text”],padding=True,truncation=True) tokenized_emotions = emotions.map(tokenize,batched=True,batch_size=None) […]
Target path search matlab simulation based on motion coding particle swarm MPSO optimization algorithm
Table of Contents 1. Mathematical formula of MPSO algorithm 2. Implementation steps of MPSO algorithm 3. Core procedures of MPSO 4. Simulation results The target path search algorithm based on motion-encoded particle swarm optimization (MPSO) is an effective path planning method. It finds the optimal path by simulating the social behavior of birds, fish and […]
Motion capture and character model driver based on mediapipe
When I was doing this as an intern, I also looked for a lot of information, but a lot of the information was not explained thoroughly. Now I will summarize my insights after reading the code, and there are some points that I think are very important. 1. Difficulty of the task: 1. How to […]
Bert and LSTM: Performance in Emotion Classification
1. Description The purpose of this article is to evaluate and compare the performance of 2 deep learning algorithms (BERT and LSTM) for binary classification in sentiment analysis. The evaluation will focus on two key metrics: accuracy (a measure of overall classification performance) and training time (an assessment of the efficiency of each algorithm). 2. […]
Developer Practical Combat | Intel Radeon? graphics card + oneAPI and OpenVINO? realize the integration of video AI calculation, training and promotion: Part 2…
Click on the blue text Follow us to make development more interesting Author: Dr. Wu Zhuo Intel AI Evangelist In the article “Intel Ruixuan ? graphics card + oneAPI and OpenVINO ? realize Intel ? video AI computing box training and promotion integration – Part 1″, We introduce in detail the training environment for building […]