Fonts

Font Development Toolkit for FontLab 6 & 7 with python

TypeRig TypeRig is a Python library aimed at simplifying the current FontLab API while offering some additional functionality that is heavily biased towards a simultaneous multi-layered workflow. As TypeRig (TR) is under rapid development in the last couple of years, please do update frequently. Important note If you are experiencing any trouble running your scripts after April 2021 please refer to our latest Py2.7 release. It is a snapshot before switching the TR core to Py3+ and refactoring most scripts […]

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3D

A scalable implementation of WobblyStitcher for 3D microscopy images

WobblyStitcher A scalable implementation of WobblyStitcher Dependencies $ python -m pip install numpy scipy scikit-image Visualization ImageJ Getting started Generate four files with fake input $ (cd tool && make) $ ./tool/gen -n 200 200 200 -o 10 10 $ ls -1 *.raw 200x200x200le.00.00.raw 200x200x200le.00.01.raw 200x200x200le.01.00.raw 200x200x200le.01.01.raw stitch $ python3 main.py main.py: processes = 4 47% 390x390x200le.raw Open 390x390x200le.raw in ImageJ. References Kirst, C., Skriabine, S., Vieites-Prado, A., Topilko, T., Bertin,P., Gerschenfeld, G., … & Renier, N. (2020). Mapping the […]

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Data Analysis

An open source Python library for the interactive analysis of multidimensional datasets

HyperSpy HyperSpy is an open source Python library for the interactive analysis of multidimensional datasets that can be described as multidimensional arrays of a given signal (for example, a 2D array of spectra, also known as a spectrum image). HyperSpy makes it straightforward to apply analytical procedures that operate on an individual signal to multidimensional arrays, as well as providing easy access to analytical tools that exploit the multidimensionality of the dataset. Its modular structure makes it easy to add […]

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Django

Django backend of Helium’s planner application

Django backend of Helium’s planner application. Prerequisites Python (>= 3.6) Pip (>= 9.0) MySQL (>= 5.7) Redis (>= 3.2) Getting Started The Platform is developed using Python and Django. Project Setup To setup the Python/Django Platform build environment, execute: make install This project is configured to work with a Virtualenv which has now been setup in the .venv folder. If you’reunfamiliar with how this works, read up on Virtualenv here. The short versionis, virtualenv creates isolated environments for each project’s […]

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Deep Learning

Fast Learning of Temporal Action Proposal via Dense Boundary Generator

ActionDetection-DBG In this repo, we propose a novel and unified action detection framework, named DBG, with superior performance over the state-of-the-art action detectors BSN and BMN. You can use the code to evaluate our DBG for action proposal generation or action detection. For more details, please refer to our paper Fast Learning of Temporal Action Proposal via Dense Boundary Generator! Paper Introduction This paper introduces a novel and unified temporal action proposal generator named Dense Boundary Generator (DBG). In this […]

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Machine Learning

Learning a Contact Potential Field to Model the Hand-Object Interaction

This repo contains model, demo, and test codes of our paper: CPF: Learning a Contact Potential Field to Model the Hand-Object InteractionLixin Yang, Xinyu Zhan, Kailin Li, Wenqiang Xu, Jiefeng Li, Cewu LuICCV 2021 1. Get our code: $ git clone –recursive https://github.com/lixiny/CPF.git $ cd CPF 2. Set up your new environment: $ conda env create -f environment.yaml $ conda activate cpf 3. Download asset files Down load our [assets.zip] and unzip it as an assets/ folder. Download the MANO […]

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Detection

Progressive Domain Adaptation for Object Detection

DA_detection Progressive Domain Adaptation for Object Detection Implementation of our paper Progressive Domain Adaptation for Object Detection, based on pytorch-faster-rcnn and PyTorch-CycleGAN. Paper Progressive Domain Adaptation for Object DetectionHan-Kai Hsu, Chun-Han Yao, Yi-Hsuan Tsai, Wei-Chih Hung, Hung-Yu Tseng, Maneesh Singh and Ming-Hsuan YangIEEE Winter Conference on Applications of Computer Vision (WACV), 2020. Please cite our paper if you find it useful for your research. @inproceedings{hsu2020progressivedet, author = {Han-Kai Hsu and Chun-Han Yao and Yi-Hsuan Tsai and Wei-Chih Hung and Hung-Yu […]

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Search

MMNas: Deep Multimodal Neural Architecture Search

MMNas MMNas: Deep Multimodal Neural Architecture Search This repository corresponds to the PyTorch implementation of the MMnas for visual question answering (VQA), visual grounding (VGD), and image-text matching (ITM) tasks. Prerequisites Software and Hardware Requirements You may need a machine with at least 4 GPU (>= 8GB), 50GB memory for VQA and VGD and 150GB for ITM and 50GB free disk space. We strongly recommend to use a SSD drive to guarantee high-speed I/O. You should first install some necessary […]

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OpenCV

Multi-Scale Geometric Consistency Guided Multi-View Stereo

ACMM ACMM is a multi-scale geometric consistency guided multi-view stereo method for efficient and accurate depth map estimation. If you find this project useful for your research, please cite: @article{Xu2019ACMM, title={Multi-Scale Geometric Consistency Guided Multi-View Stereo}, author={Xu, Qingshan and Tao, Wenbing}, journal={Computer Vision and Pattern Recognition (CVPR)}, year={2019} } Dependencies The code has been tested on Ubuntu 14.04 with GTX Titan X. Usage cmake . make Use script colmap2mvsnet_acm.py to convert COLMAP SfM result to ACMM input Run ./ACMM $data_folder […]

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Transformer

Rethinking Spatial Dimensions of Vision Transformers

Rethinking Spatial Dimensions of Vision Transformers Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh | Paper NAVER AI LAB News Mar 30, 2021: Code & paper released Apr 2, 2021: PiT models with pretrained weights are added to timm repo. You can directly use PiT models with timm>=0.4.7. Jul 23, 2021: Accepted to ICCV 2021 as a poster session Abstract Vision Transformer (ViT) extends the application range of transformers from language processing to computer vision […]

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