20 Repositories
Python pixels Libraries
Activating More Pixels in Image Super-Resolution Transformer
HAT [Paper Link] Activating More Pixels in Image Super-Resolution Transformer Xiangyu Chen, Xintao Wang, Jiantao Zhou and Chao Dong BibTeX @article{ch
Codebase for ECCV18 "The Sound of Pixels"
Sound-of-Pixels Codebase for ECCV18 "The Sound of Pixels". *This repository is under construction, but the core parts are already there. Environment T
Deal with Bing Maps Tiles and Pixels / WGS 84 coordinates conversions, and generate grid Shapefiles
PyBingTiles This is a small toolkit in order to deal with Bing Tiles, used i.e. by Facebook for their Data for Good datasets. Install Clone this repos
Planning from Pixels in Environments with Combinatorially Hard Search Spaces -- NeurIPS 2021
PPGS: Planning from Pixels in Environments with Combinatorially Hard Search Spaces Environment Setup We recommend pipenv for creating and managing vir
I automated the lumberjack game on telegram, by recognising pixels and using pyautogui module
Lumberjack Automated: @gamebot According to the official documentation, @gamebot is a demo bot for the Telegram Gaming Platform.` It provides some sam
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
DensePose: Dense Human Pose Estimation In The Wild Rıza Alp Güler, Natalia Neverova, Iasonas Kokkinos [densepose.org] [arXiv] [BibTeX] Dense human pos
imgAnalyser - Un script pour obtenir la liste des pixels d'une image correspondant à plusieurs couleurs
imgAnalyser - Un script pour obtenir la liste des pixels d'une image correspondant à plusieurs couleurs Ce script à pour but, à partir d'une image, de
The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at http://www.cs.cmu.edu/~aayushb/pixelNet/.
PixelNet: Representation of the pixels, by the pixels, and for the pixels. We explore design principles for general pixel-level prediction problems, f
Turning pixels into virtual points for multimodal 3D object detection.
Multimodal Virtual Point 3D Detection Turning pixels into virtual points for multimodal 3D object detection. Multimodal Virtual Point 3D Detection, Ti
Dirty Pixels: Towards End-to-End Image Processing and Perception
Dirty Pixels: Towards End-to-End Image Processing and Perception This repository contains the code for the paper Dirty Pixels: Towards End-to-End Imag
Script that receives an Image (original) and a set of images to be used as "pixels" in reconstruction of the Original image using the set of images as "pixels"
picinpics Script that receives an Image (original) and a set of images to be used as "pixels" in reconstruction of the Original image using the set of
Code for our CVPR 2021 Paper "Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes".
Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes (CVPR 2021) Project page | Paper | Colab | Colab for Drawing App Rethinking Style
MNIST, but with Bezier curves instead of pixels
bezier-mnist This is a work-in-progress vector version of the MNIST dataset. Samples Here are some samples from the training set. Note that, while the
Project page for the paper Semi-Supervised Raw-to-Raw Mapping 2021.
Project page for the paper Semi-Supervised Raw-to-Raw Mapping 2021.
A wrapper for the Discord Python Pixels API.
DPYPX A simple wrapper around Python Discord Pixels. Requires Python 3.7+ (3.x where x = 7). Requires pillow and aiohttp from pip. Example import dpy
A Python script made for the Python Discord Pixels event.
Python Discord Pixels A Python script made for the Python Discord Pixels event. Usage Create an image.png RGBA image with your pattern. Transparent pi
It is a simple python package to play videos in the terminal using characters as pixels
It is a simple python package to play videos in the terminal using characters as pixels
PixelPick This is an official implementation of the paper "All you need are a few pixels: semantic segmentation with PixelPick."
PixelPick This is an official implementation of the paper "All you need are a few pixels: semantic segmentation with PixelPick." [Project page] [Paper
Back to the Feature: Learning Robust Camera Localization from Pixels to Pose (CVPR 2021)
Back to the Feature with PixLoc We introduce PixLoc, a neural network for end-to-end learning of camera localization from an image and a 3D model via
Where2Act: From Pixels to Actions for Articulated 3D Objects
Where2Act: From Pixels to Actions for Articulated 3D Objects The Proposed Where2Act Task. Given as input an articulated 3D object, we learn to propose