This project provides a basic framework for experimenting with watermark insertion and detection in deep learning models.Please follow the instructions below to set up your environment and begin working. Installation Guide You can set up the environment using Anaconda.If you are new to Conda, please refer to the official guide:Getting Started with Anaconda Step 1: Create the Environment Use the following command to create the environment from the provided file: conda env create -f env.yaml Use the following command to activate the environment:

Issue 論文解決的核心挑戰： Data scarcity問題：現有Human-Object Interaction (HOI) datasets主要專注於單人與單物體交互，缺乏multiple humans和multiple objects的真實世界數據 Multiple HOI capture困難：在contextual environment中準確捕捉多人多物體運動極具挑戰性，特別是存在嚴重遮擋時 技術挑戰：需要dome-like dense cameras和object-mounted IMUs，且需要複雜的preprocessing和joint optimization pipeline 研究空白：缺乏data-driven的multiple human-object motion capture和synthesis方法 Problem Formulation Notation

Pose2sim link 步驟 2025-02-25 10 28 41 先把下載pose2sim的repository，之後可以先跑一次demo確認沒問題後，可以直接把demo的資料夾複製一份，把其他資料夾刪光只留pose-3d就好了。 之後可以把轉完的output.trc拖到pose-3d後，就可以在Anaconda輸入以下指令。(這部分就跟demo一樣，可以參考pose2sim的README。) ipython from Pose2Sim import Pose2Sim

Gradient descent In this implementation, linear search is utilized to determine the optimal step size, with all other aspects of the algorithm implemented according to the previously presented methodology. Newton's method The convergence criteria state that the optimal point is reached when either the gradient norm at the current position or the step size norm falls below the specified epsilon threshold. experimental results Newton-CG CG

Digit Classifications Wide Network Total Accuracy: 0.933 2024-06-16 21 25 07 Deep Network Total Accuracy: 0.948 deep_network

Scoring Basic components Score Check Membership Mechanism 15% Y Firebase page

Scoring Basic Components Component Score Check Complete Game Process 5% Y

Kruskal.cpp // Author is Chiu CC #include <vector> #include <list> #include <iomanip> // for setw() structure Edge{ int from, to, weight; Edge(){};

a. Trace the SC_Halt system call to understand the implementation of a system call. Run() 當有system call是，可以看到是用OneInstrucion()一次執行一個指令，此時user program是在user mode下執行的。 void Machine::Run() { Instruction *instr = new Instruction; // storage for decoded instruction

Implementation TSqueue Initializing a mutex, condition variables, and a buffer for storing items. Destorying all the attribute in TSqueue's destructor. In the enqueue method, if the size equals the maximum buffer size, then the thread will wait. Otherwise, we will put the item at the end of the queue and increase the value of the size by 1. In the dequeue method, if the size equals zero, then the thread will wait. Otherwise, pop the element from the head of the queue and increase the value of the size by 1. template <class T> TSQueue<T>::TSQueue(int buffer_size) : buffer_size(buffer_size) { // TODO: implements TSQueue constructor

題目 link 作法 最多9!種可能，且求最小步數，那我們可以從BFS去想，轉移的方式題目已經跟我們說了，就是和同一列或同一行相鄰的兩個元素去做互換，比較麻煩的是怎麼維護表格的內容，我是把它轉成字串去維護，再把字元交換。 code #include <bits/stdc++.h> using namespace std;

1-1. New→Ready Kernel::ExecAll() execfileNum represent the file need to be executed. call Exec function to execute every file in execfile table. call Finish() to terminate current thread. void Kernel::ExecAll() { for (int i=1;i<=execfileNum;i++) { int a = Exec(execfile[i]);

main.cc entry point kernel = new Kernel(argc, argv); kernel->Initialize(); // finally, run an initial user program if requested to do so kernel->ExecAll(); Kernel::ExecAll() execfileNum represent the file need to be executed.