Appointment Tracker that allows user to input client information and update if needed

Appointment Tracker allows an assigned admin to input client information regarding their appointment and their appointment time. This information is then stored in the myInventory database that can be accessed through DB Browser. DB Browser for SQLite V.3.12.2 or newer Visual Studio Code / Python executable service. User will be able to create administrators in order to secure the service; protected with a password. Can input client information, update over time, and remove them from the database once appointment is […]

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Pytorch-Lightning implementation of the Box-Aware Tracker

Pytorch-Lightning implementation of the Box-Aware Tracker. Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds. ICCV 2021 Chaoda Zheng, Xu Yan, Jiaotao Gao, Weibing Zhao, Wei Zhang, Zhen Li*, Shuguang Cui Citation @InProceedings{zheng2021box, title={Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds}, author={Chaoda Zheng, Xu Yan, Jiaotao Gao, Weibing Zhao, Wei Zhang, Zhen Li, Shuguang Cui}, journal={ICCV}, year={2021} }   To finish reading, please visit source site

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Tracing Versus Freehand for Evaluating Computer-Generated Drawings

Tracing Versus Freehand for Evaluating Computer-Generated Drawings (SIGGRAPH 2021) Zeyu Wang, Sherry Qiu, Nicole Feng, Holly Rushmeier, Leonard McMillan, Julie Dorsey Drawing Dataset The dataset consists of 1,498 tracings and freehand drawings by 110 participants for 100 image prompts. Our drawings are registered to the prompts and include vector-based timestamped strokes collected via stylus input. Please right click the links below and “Save link as…” if it doesn’t download automatically. Image prompts. All rendered tracings and freehand drawings in SVG […]

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3D Object Detection and Tracking using center points in the bird-eye view

CenterPoint 3D Object Detection and Tracking using center points in the bird-eye view. Center-based 3D Object Detection and Tracking,Tianwei Yin, Xingyi Zhou, Philipp Krähenbühl,arXiv technical report (arXiv 2006.11275) @article{yin2021center, title={Center-based 3D Object Detection and Tracking}, author={Yin, Tianwei and Zhou, Xingyi and Kr{“a}henb{“u}hl, Philipp}, journal={CVPR}, year={2021}, } This repo is an reimplementation of CenterPoint on the KITTI dataset. For nuScenes and Waymo, please refer to the original repo. Please refer to INSTALL.md for installation. We provide two configs, centerpoint.yaml for the […]

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Towards End-to-end Video-based Eye Tracking

The code accompanying our ECCV 2020 publication and dataset, EVE. Authors: Seonwook Park, Emre Aksan, Xucong Zhang, and Otmar HilligesProject page: https://ait.ethz.ch/projects/2020/EVE/Codalab (test set evaluation and public leaderboard): https://competitions.codalab.org/competitions/28954 Setup Preferably, setup a Docker image or virtual environment (virtualenvwrapper is recommended) for this repository. Please note that we have tested this code-base in the following environments: Ubuntu 18.04 / A Linux-based cluster system (CentOS 7.8) Python 3.6 / Python 3.7 PyTorch 1.5.1 Clone this repository somewhere with: git clone [email protected]:swook/EVE […]

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