Exploring the Dual-task Correlation for Pose Guided Person Image Generation

The source code for our paper “Exploring Dual-task Correlation for Pose Guided Person Image Generation“, Pengze Zhang, Lingxiao Yang, Jianhuang Lai, and Xiaohua Xie, CVPR 2022. Abstract Pose Guided Person Image Generation (PGPIG) is the task of transforming a person image from the source pose to a given target pose. Most of the existing methods only focus on the ill-posed source-to-target task and fail to capture reasonable texture mapping. To address this problem, we propose a novel Dual-task Pose Transformer […]

Read more

A simple python module to generate anchor (aka default/prior) boxes for object detection tasks

WIP A simple python module to generate anchor (aka default/prior) boxes for object detection tasks. Calculated anchor boxes are returned as ndarrays in pascal_voc format by default. Installation Usage To calculate the anchor boxes for a single feature size and aspect ratio, given the image size: from pybx import anchor image_sz = (300, 300, 3) feature_sz = (10, 10) asp_ratio = 1/2. anchor.bx(image_sz, feature_sz, asp_ratio) To    

Read more

A task scheduler with task scheduling, timing and task completion time tracking functions

Introduction A task scheduler with task scheduling, timing and task completion time tracking functions. Could be helpful for time management in daily life. You can get access to the whole project code from https://github.com/ArthurLCW/Task-Scheduler Installation Python + MySQL + pymysqlRecommanded Version:Python: 3.7MySQL: 5.7.30PyMySQL: 1.0.2 Initialization Use the sql file in the project to build a databse first.Connect to be database. Modify the parameters in the figure below.Type $python Task-Scheduler$ to execute project. Usage of the project (to be done) GitHub […]

Read more

Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks

This repository contains the official code for the paper Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks. Requirements This codebase has been tested with the following package versions: python=3.8.8 torch=1.9.0+cu102 torchvision=0.10.0+cu102 PIL=8.1.0 numpy=1.19.2 scipy=1.6.1 tqdm=4.57.0 sklearn=0.24.1 albumentations=1.0.3 Prepare data There are several classes defined in the datasets directory. The data is expected in a directory name data, located on the same level as this repository. Below is an outline of the expected file structure: data/ […]

Read more

Pythonic task management & command execution

Invoke is a Python (2.7 and 3.4+) library for managing shell-oriented subprocesses and organizing executable Python code into CLI-invokable tasks. It draws inspiration from various sources (make/rake, Fabric 1.x, etc) to arrive at a powerful & clean feature set. For a high level introduction, including example code, please see our main project website; or for detailed API docs, see the versioned API website. GitHub https://github.com/pyinvoke/invoke    

Read more

A Benchmark for Interpreting Grounded Instructions for Everyday Tasks

ALFRED ALFRED (Action Learning From Realistic Environments and Directives), is a new benchmark for learning a mapping from natural language instructions and egocentric vision to sequences of actions for household tasks. Long composition rollouts with non-reversible state changes are among the phenomena we include to shrink the gap between research benchmarks and real-world applications. What more? Checkout ALFWorld – interactive TextWorld environments for ALFRED scenes! Quickstart Clone repo: $ git clone https://github.com/askforalfred/alfred.git alfred $ export ALFRED_ROOT=$(pwd)/alfred Install requirements: $ virtualenv […]

Read more

Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning

Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning Sandeep Subramanian, Adam Trischler, Yoshua Bengio & Christopher Pal ICLR 2018 About GenSen is a technique to learn general purpose, fixed-length representations of sentences via multi-task training. These representations are useful for transfer and low-resource learning. For details please refer to our ICLR paper. Code We provide a PyTorch implementation of our paper along with pre-trained models as well as code to evaluate these models on a variety of […]

Read more
1 2