---
# System prepended metadata

title: '10/10/24 Meeting Notes #8'
tags: [meetings]

---

# 10/10/24 Meeting Notes #8

## Current Progress 目前進度
- Organized a list of meeting notes for easy reference. 
整理了一份會議記錄清單以便參考 [here](https://hackmd.io/@emps-113up/full-list)

- Classification Model #1, currently have enough datasets for training (shirt, t-shirt, pants, shorts, skirts, shoes, etc)
分類模型#1 目前已擁有足夠的訓練數據集（包括襯衫、T恤、褲子、短褲、裙子、鞋子等）。

- Classification model #2 current using model from this 
分類模型#2目前使用的模型用這個 [paper](https://www.mdpi.com/2076-3417/12/19/10062#B8-applsci-12-10062)

- Classification model: https://github.com/Vyo918/Undergraduate_Project

- Generative model currently using model from this 
生成模型目前使用的模型用這個 [paper](https://tomguluson92.github.io/projects/cloth2tex/)

- Generative model part, currently stuck at downloading psbody and pytorch3D. 
生成模型目前卡在下載psbody 和 pytorch 3D

Current version:
```
    Python: 3.12
    Pytorch: 1.13
    Cuda: 11.7
```
Paper's version:
```
    Python 3.8
    Pytorch 1.13
    Cuda 11.7
```
Current problem: unable to download pytorch version 1.13 using python that is less than version 3.10. Tried upgrading python but is still trying stuck on current progress.
目前問題：無法使用低於 3.10 版本的 Python 下載 pytorch 1.13 版本。嘗試升級 Python，但進度仍卡在當前步驟。

- Started looking for the application of the 3D mesh to the body. (Available in paper)
已開始尋找 3D 網格應用於人體的資料。（相關內容已在論文中提供）


## Next's Week Expected Progress 下週預期進度
- Should finish writing a detailed explanation of our project. 
會完成細寫我們專題每一步在做什麼 [here](https://hackmd.io/@emps-113up/project-details)

- Finding papers and implementing the model for classification model #1.
正在尋找論文並實施分類模型#1的模型。
- Will finish 50% of the code for classification model #2
下週會完成分類模型#2 50%的代碼
- Will look for datasets for classification model #2 (a person with clothes and style labels)
會找給分類模型#2 的數據集 （一個人穿著衣服+風格標籤）
- Will finish installing psbody or pytorch3D, laion 5b and 3D application to body for generative model.
會完成下載 psbody or pytorch3D, laion 5b and 3D 應用到人體的生成模型。
- Will have determined the final categories for classification model #1
會確定分類模型#1的最終類別。

--- 
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Full Content List [here](https://hackmd.io/@emps-113up/full-list)