Sign-Agnostic Optimization of Convolutional Occupancy Networks

This repository contains the implementation of the paper: Sign-Agnostic CONet: Learning Implicit Surface Reconstructions by Sign-Agnostic Optimization of Convolutional Occupancy NetworksICCV 2021 (Oral) If you find our code or paper useful, please consider citing @inproceedings{tang2021sign, title={SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks}, author={Tang, Jiapeng and Lei, Jiabao and Xu, Dan and Ma, Feiying and Jia, Kui and Zhang, Lei}, booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision}, year={2021} } Contact Jiapeng Tang for questions, comments and reporting bugs. Installation […]

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An open-source, low-cost, image-based weed detection device for fallow scenarios

OpenWeedLocator Welcome to the OpenWeedLocator (OWL) project, an opensource hardware and software green-on-brown weed detector that uses entirely off-the-shelf componentry, very simple green-detection algorithms and entirely 3D printable parts. OWL integrates weed detection on a Raspberry Pi with a relay control board in a custom designed case so you can attach any 12V solenoid, relay, lightbulb or device for low-cost, simple and opensource site-specific weed control. Projects to date have seen OWL mounted on robots and vehicles for spot spraying! […]

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A Transformer that Ponders, using the scheme from the PonderNet paper

Ponder(ing) Transformer Implementation of a Transformer that learns to adapt the number of computational steps it takes depending on the difficulty of the input sequence, using the scheme from the PonderNet paper. Will also try to abstract out a pondering module that can be used with any block that returns an output with the halting probability. This repository would not have been possible without repeated viewings of Yannic’s educational video Install $ pip install ponder-transformer Usage import torch from ponder_transformer […]

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Industrial knn-based anomaly detection for images

Industrial KNN-based Anomaly Detection Industrial knn-based anomaly detection for images. Visit streamlit link to check out the demo. This repo aims to reproduce the results of the following KNN-based anomaly detection methods: SPADE (Cohen et al. 2021) – knn in z-space and distance to feature maps PaDiM* (Defard et al. 2020) – distance to multivariate Gaussian of feature maps PatchCore (Roth et al. 2021) – knn distance to avgpooled feature maps * actually does not have any knn mechanism, but […]

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Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows

CFLOW-AD CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing FlowsWACV 2022 preprint:https://arxiv.org/abs/2107.12571 Abstract Unsupervised anomaly detection with localization has many practical applications when labeling is infeasible and, moreover, when anomaly examples are completely missing in the train data. While recently proposed models for such data setup achieve high accuracy metrics, their complexity is a limiting factor for real-time processing. In this paper, we propose a real-time model and analytically derive its relationship to prior methods. Our CFLOW-AD model […]

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An unofficial version of Alias-Free Generative Adversarial Networks

Alias-Free GAN An unofficial version of Alias-Free Generative Adversarial Networks (https://arxiv.org/abs/2106.12423). This repository was heavily based on Kim Seonghyeon’s (rosinality) implementation. The goal of this version is to be maintainable, easy to use, and expand the features of existing implementations. This is built using pytorch and pytorch lightning (a framework that abstracts away much of the hardware specific code). See open issues unsupported features, planned features, and current bugs. Licence This project is officially licensed as an MIT project. However, […]

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Generate vibrant and detailed images using only text

CLIP Guided Diffusion From RiversHaveWings. Generate vibrant and detailed images using only text. See captions and more generations in the Gallery See also – VQGAN-CLIP This code is currently under active development and is subject to frequent changes. Please file an issue if you have any constructive feedback, questions, or issues with the code or colab notebook. Windows user? Please file an issue if you have any issues with the code. I have no way to test that platform currently […]

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Pomodoro timer that acknowledges the inexorable, infinite passage of time

Pomodouroboros Most pomodoro trackers assume you’re going to start them. But time and tide wait for no one – the great pomodoro of the cosmos is cold and dark, and it goes on forever. For people with ADHD or other executive function disorders, time blindness is common; the inability to notice that time is passing or initiate tasks at an appropriate time. It’s easy to let half the day slip by before starting your first pomodoro. Pomodouroboros’s goal is to: […]

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An exploration of a fantasy world, to autobattle your way to ruling the demesne

Not Quite Paradise 2 (no relation to NQP, I just like the name enough to want to keep it.) Badges! Current position: Quality of last commit: Who dunnit? Design, writing and code by Snayff. Design and writing by PuddingChef. Additional code by DaFluffyPotato. Art by Aleksander Makarov. What is it? A world exploring, army recruiting, auto-battling adventure to take over the kingdom. What’re the terms? (license) In short, code is free to reuse for non-commercial purposes but images are off […]

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Creates Spotify playlists from Spinitron playlists

Creates Spotify playlists from Spinitron playlists. Quick Start You can use spin2spot as a command-line tool: [email protected]:~$ python -m spin2spot https://spinitron.com/WZBC/pl/50067/7DayWknd https://wkdu.org/playlist/32880 Created 2 playlists for user erikcdidriksen. You can also use spin2spot in Python directly: from spin2spot import build_client, create_playlist client = build_client(‘username’) create_playlist(client, ‘http://spinitron.com/radio/playlist.php?station=kwva&playlist=20955’) Prerequsities In order to use spin2spot, you must have the environment variables set up for spotipy as described in their documentation. Command-line flags spin2spot accepts URLs as positional arguments. It also takes two optional […]

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