Generate PNG filles from NFO files
git clone https://github.com/pcroland/nfopng cd nfopng pip install -r requirements.txt
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Forecasting for knowable future events using Bayesian informative priors
judgyprophet is a Bayesian forecasting algorithm based on Prophet, that enables forecasting while using information known by the business about future events. The aim is to enable users to perform forecasting with judgmental adjustment, in a way that is mathematically as sound as possible. Some events will have a big effect on your timeseries. Some of which you are aware of ahead of time. For example: An existing product entering a new market. A price change to a product. These […]
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Sorti-Py – A CLI tool that sorts the current folder you’re in
Sorti-Py is a CLI tool that sorts the current folder you’re in. It sorts all files into their respective folders, for example, it takes all .pdf files in your current directory, and puts them in a pdf folder. It works for all extensions and will make organizing messy folders a lot easier. cd into the directory you wish sorted type “sortipy” clone this repository cd into sorti-py type “sudo mv sortipy /usr/bin” NOTE: The reason you need sudo privileges is […]
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Versatile Multi-Modal Pre-Training for Human-Centric Perception
1S-Lab, Nanyang Technological University 2SenseTime Research 3Shanghai AI Laboratory Accepted to CVPR 2022 This repository contains the official implementation of Versatile Multi-Modal Pre-Training for Human-Centric Perception. For brevity, we name our method HCMoCo. arXiv • Project Page • Dataset Citation If you find our work useful for your research, please consider citing the paper: Updates [03/2022] Code release! [03/2022] HCMoCo is accepted to CVPR 2022🥳! Installation We recommend using conda to manage the python environment. The commands below are provided […]
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Novel Class Discovery in Semantic Segmentation, CVPR 2022
This repository contains the official implementation of our paper: Novel Class Discovery in Semantic Segmentation, CVPR 2022 Yuyang Zhao, Zhun Zhong, Nicu Sebe, Gim Hee Lee Paper: ArXiv Project Page: Website Abstract: We introduce a new setting of Novel Class Discovery in Semantic Segmentation (NCDSS), which aims at segmenting unlabeled images containing new classes given prior knowledge from a labeled set of disjoint classes. In contrast to existing approaches that look at novel class discovery in image classification, we focus […]
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Create matplotlib visualizations from the command-line
Create matplotlib visualizations from the command-line MatplotCLI is a simple utility to quickly create plots from the command-line, leveraging Matplotlib. plt “scatter(x,y,5,alpha=0.05); axis(‘scaled’)”
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A repository for a universal I/O spec for TAMP, along with scripts to convert from popular specs to our spec
A repository for a universal I/O spec for TAMP, along with scripts to convert from popular specs to our spec Installation Dependencies This repository requires Python 3.8+. We recommend you create a conda env or virtual env with an appropriate Python version before installing the other dependencies. If you are creating a virtual environment within the project directory, then you might want to call it one of .env, env, .venv, venv as the code checks have been configured to exclude […]
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Gesture Volume Control With Python
In this project I am going to learn how to use Gesture Control to change the volume of a computer. I first look into hand tracking and then I will use the hand landmarks to find gesture of my hand to change the volume. Features Can track your hand in real-time Can change your computer’s volume based on your hand activity How to install Clone this repository on your computer https://github.com/paveldat/gesture_volume_control.git Install all the requirements run libraries.bat Run the program […]
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Watermarking Images in Self-Supervised Latent-Spaces
PyTorch implementation and pretrained models for the paper. For details, see Watermarking Images in Self-Supervised Latent-Spaces. If you find this repository useful, please consider giving a star ⭐ and please cite as: @inproceedings{fernandez2022sslwatermarking, title={Watermarking Images in Self-Supervised Latent Spaces}, author={Fernandez, Pierre and Sablayrolles, Alexandre and Furon, Teddy and Jégou, Hervé and Douze, Matthijs}, booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, year={2022}, organization={IEEE}, } [Webpage] [arXiv] [Spaces] [Colab] Introduction To finish reading, please visit source site
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Experiments with Circle Loss on AIC 2021’s Vehicle Retrieval Dataset
Info Usage Extract metadata The dataset provided metadata in the form of an XML file train_label.xml which can be hard to processed. We first convert this into a more accessible JSON file. The result will be saved as list/train_image_metadata.json. Split data Since we use the data above for training, evaluation, and testing, we split it into corresponding CSV files. The results are stored in the list folder as CSVs file of tuples of (image_id, vehicle_id, cam_id): reid_train.csv: contains the training […]
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