MogFace: Towards a Deeper Appreciation on Face Detection
Introduction In this repo, we propose a promising face detector, termed as MogFace. Our MogFace consists of 3 novel modules, including Ali-AMS, SSE and HCAM. Our MogFace achieves six champions on WIDER FACE. Prepare Environment conda create -n MogFace python=3.6 conda activate MogFace pip install -r requirements.txt cd utils/nms && python setup.py build_ext –inplace && cd ../.. cd
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PyTorch implementation for OCT-GAN Neural ODE-based Conditional Tabular GANs
Code for reproducing the experiments in the paper: Jayoung Kim*, Jinsung Jeon*, Jaehoon Lee, Jihyeon Hyeong, Noseong Park. “FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models.” International World Wide Web Conference (2021).[arxiv] GitHub View Github
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Uni-Fold: Training your own deep protein-folding models
This package provides an implementation of a trainable, Transformer-based deep protein folding model. We modified the open-source code of DeepMind AlphaFold v2.0 and provided code to train the model from scratch. See the reference and the repository of DeepMind AlphaFold v2.0. To train your own Uni-Fold models, please follow the steps below: 1. Install the environment. Run the following code to install the dependencies of Uni-Fold: conda create -n unifold python=3.8.10 -y conda activate unifold ./install_dependencies.sh Uni-Fold has been tested […]
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The Good Old Days. Testing Out A New Module
The Good Old Days. | Testing Out A New Module- Installation Asciimatics supports Python versions 2 & 3. For the precise list of tested versions, refer to pypi https://pypi.python.org/pypi/asciimatics To install asciimatics, simply install with pip as follows: pip install asciimatics This should install all your dependencies for you. If you don’t use pip or it fails to installthem, you can install the dependencies directly using the packages listed in https://github.com/peterbrittain/asciimatics/blob/master/requirements.txt Additionally, Windows users (who aren’t using pip) will need […]
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TFT Bot that automatically surrenders and allows finishing TFT Passes easily
TFT Bot that automatically surrenders and allows finishing TFT Passes easily. Please read full file! You can check new releases here 🔍 Requirements You need to download Python 3 and PyAutoGUI, Time, Win32Api, Win32Con libraries. 📗 Library Download Guide Win + R cmd [Enter]: pip install pyautogui pip install time pip install pywin32 📏 Configure for Yourself You must replace the image files with your own screenshots for the program to run properly. You can take screenshots with Win + […]
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Simple Python project using Opencv and datetime package to recognise faces and log attendance data in a csv file
Simple Python project using Opencv and datetime package to recognise faces and log attendance data in a csv file.In “face_fetching.py” file I’ve automated the process of creating a custom dataset in an already existing folder. Each subfolder in the the “FaceData” folder has images of corresponding to the folder name e.g Samuel folder contains images of samuel.The “Face_sample_train.py” file trains a model to recognize the faces in the dataset.In the “Face_sample_train.py” file make sure you change the image directory accordingly […]
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Project developed as part of a selection process for the company Denox
📝 Tabela de conteúdos 🧐 Sobre Projeto desenvolvido como parte de um processo seletivo da empresa Denox. Nesse projeto foi desenvolvido uma API usando Tornado onde tem a função de calcular a distância percorrida, o tempo em movimento, o tempo parado e os centroides das posições paradas de um veiculo rastreado. 📝 Requisitos para rodar o projeto Python3 Docker Docker Compose 💭 Instalação 1.Instale o Docker seguindo o tutorial a seguir:https://docs.docker.com/engine/install/ubuntu/
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