--- title: 'VoTT NTUT README(ubuntu 18.04)' disqus: hackmd --- [# README.md 來源](https://hackmd.io/@NTUTVOTT/H1GXs6kBD) VoTT_NTUT README(ubuntu 18.04) === [TOC] ## 1. 說明 此包VoTT是基於在 [microsoft/VoTT](https://github.com/microsoft/VoTT#download-and-install-a-release-package-for-your-platform-recommended) 版本2.2.0開發的,目的如下 1. 增加自動track目標功能,不用每個frame都需要個別標注動作 ## 2. VoTT 安裝流程與建立專案 > 在 ubuntu18.04 使用 [教學連結](https://hackmd.io/@NTUTVOTT/rymTpoVUD) ## 3. 管理與開發 * 在ubuntu18.04的測試與開發: ``` 余俊賢 mail: t108368505@ntut.org.com ``` * 在windows10的測試與開發: ``` 江偉銓 mail: t108368527@ntut.org.com ``` ###### tags: `readme`
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For VoTT_NTUT_WIN10_repo ReadMe

NTUT VoTT Main Features of NTUT VoTT NTUT_VoTT tool is a modified version of Microsoft VoTT (based on Version: V2.2.0) open-source labeling software. It has the following new features: Automatic tracking after labeling, to reduce the tedious work of re-labeling each frame Multi-core tracking Track FPS for different scenarios :::info The below video shows NTUT VoTT how to save your time for labeling objects, you don't need to label those objects each frame, and this tool supports multi-core tracking which can speed up while you tracking more objects. :::

12/28/2023
For VoTT_NTUT_WIN10_repo ReadMe

[TOC] NTUT VoTT Main Features of NTUT VoTT NTUT_VoTT tool is a modified version of Microsoft VoTT (based on Version: V2.2.0) open-source labeling software. It has the following new features: Automatic tracking after labeling, to reduce the tedious work of re-labeling each frame Multi-core tracking Track FPS for different scenarios :::info

12/14/2022
PaperV2 FeedBack

PaperV2 FeedBack [TOC] Reviewer2 Reviewer3 Question1 You mentioned that some of tools like DarkLabel cannot track more than 100 objects in one frame (Fig10). What is your performance in that kind of frame? What is the FPS? Answer1

7/11/2022
論文方向

論文方向 [TOC] 1. 學分規劃 ::: info 由於在職碩士規定修業年限最低為2.5年,若要兩年畢業必須要發表一篇conference paper 如果依照正常流程規劃,在申請學位考試必須在二下修完所有學分,目前學分進度如下 ::: 二下：

7/11/2022
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