Locally cache assets that are normally streamed in POPULATION: ONE

Overview

Population One Localizer

This is no longer needed as of the build shipped on 03/03/22, thank you bigbox :)

Locally cache assets that are normally streamed in POPULATION: ONE. Resolves numerous issues related to asset streaming & saves bandwith.

Installation

  1. Install the latest version of Python 3
  2. Install tqdm via pip (pip install tqdm)
  3. Download the latest version of UnityAssetReplacer from https://github.com/Skyluker4/UnityAssetReplacer/releases
  4. Extract UnityAssetReplacer to a folder named "UnityAssetReplacer-win-x64" next to the localizer

Usage

You must perform this process after every game update

  1. Copy catalog.bundle from your_pop_1_install_folder/PopulationONE_Data/StreamingAssets/aa to the directory you extracted the localizer
  2. Run extract_bundle. You should now have an extract folder with a catalog file inside. If this file is missing, you probably didn't copy catalog.bundle to the right place
  3. Open pop1_localizer.py in a text editor, ensure that build_number is set to whatever is currently listed below
    • LIVE (non-playtest): 25402
    • Playtest:
  4. Run pop1_localizer.py, wait for the download to complete (this is about 15GB worth of assets, so it may take some time)
  5. Copy all of the .bundle files from the newly created assets folder to your_pop_1_install_folder/PopulationONE_Data/StreamingAssets/aa/StandaloneWindows64
  6. Run repack_bundle
  7. Copy catalog.bundle from the newly created output folder to your_pop_1_install_folder/PopulationONE_Data/StreamingAssets/aa and overwrite the existing file
Owner
Ahman Woods
CU Boulder CSCI Graduate. VR enthusiast. Taker of naps.
Ahman Woods
A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.

OpenCDA OpenCDA is a SIMULATION tool integrated with a prototype cooperative driving automation (CDA; see SAE J3216) pipeline as well as regular autom

UCLA Mobility Lab 726 Dec 29, 2022
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

MixHop and N-GCN ⠀ A PyTorch implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019)

Benedek Rozemberczki 393 Dec 13, 2022
Model Agnostic Interpretability for Multiple Instance Learning

MIL Model Agnostic Interpretability This repo contains the code for "Model Agnostic Interpretability for Multiple Instance Learning". Overview Executa

Joe Early 10 Dec 17, 2022
Diverse Image Generation via Self-Conditioned GANs

Diverse Image Generation via Self-Conditioned GANs Project | Paper Diverse Image Generation via Self-Conditioned GANs Steven Liu, Tongzhou Wang, David

Steven Liu 147 Dec 03, 2022
Moer Grounded Image Captioning by Distilling Image-Text Matching Model

Moer Grounded Image Captioning by Distilling Image-Text Matching Model Requirements Python 3.7 Pytorch 1.2 Prepare data Please use git clone --recurse

YE Zhou 60 Dec 16, 2022
Group Activity Recognition with Clustered Spatial Temporal Transformer

GroupFormer Group Activity Recognition with Clustered Spatial-TemporalTransformer Backbone Style Action Acc Activity Acc Config Download Inv3+flow+pos

28 Dec 12, 2022
pytorch implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802

PyTorch SRResNet Implementation of Paper: "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"(https://arxiv.org/abs

Jiu XU 436 Jan 09, 2023
A tiny, pedagogical neural network library with a pytorch-like API.

candl A tiny, pedagogical implementation of a neural network library with a pytorch-like API. The primary use of this library is for education. Use th

Sri Pranav 3 May 23, 2022
[ICCV 2021] Released code for Causal Attention for Unbiased Visual Recognition

CaaM This repo contains the codes of training our CaaM on NICO/ImageNet9 dataset. Due to my recent limited bandwidth, this codebase is still messy, wh

Wang Tan 66 Dec 31, 2022
A simple Tensorflow based library for deep and/or denoising AutoEncoder.

libsdae - deep-Autoencoder & denoising autoencoder A simple Tensorflow based library for Deep autoencoder and denoising AE. Library follows sklearn st

Rajarshee Mitra 147 Nov 18, 2022
Source code for EquiDock: Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking (ICLR 2022)

Source code for EquiDock: Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking (ICLR 2022) Please cite "Independent SE(3)-Equivar

Octavian Ganea 154 Jan 02, 2023
The all new way to turn your boring vector meshes into the new fad in town; Voxels!

Voxelator The all new way to turn your boring vector meshes into the new fad in town; Voxels! Notes: I have not tested this on a rotated mesh. With fu

6 Feb 03, 2022
Multi-View Radar Semantic Segmentation

Multi-View Radar Semantic Segmentation Paper Multi-View Radar Semantic Segmentation, ICCV 2021. Arthur Ouaknine, Alasdair Newson, Patrick Pérez, Flore

valeo.ai 37 Oct 25, 2022
Official implementation of the ICCV 2021 paper "Joint Inductive and Transductive Learning for Video Object Segmentation"

JOINT This is the official implementation of Joint Inductive and Transductive learning for Video Object Segmentation, to appear in ICCV 2021. @inproce

Yunyao 35 Oct 16, 2022
This repository is an unoffical PyTorch implementation of Medical segmentation in 3D and 2D.

Pytorch Medical Segmentation Read Chinese Introduction:Here! Recent Updates 2021.1.8 The train and test codes are released. 2021.2.6 A bug in dice was

EasyCV-Ellis 618 Dec 27, 2022
Kaggle DSTL Satellite Imagery Feature Detection

Kaggle DSTL Satellite Imagery Feature Detection

Konstantin Lopuhin 206 Oct 29, 2022
Identify the emotion of multiple speakers in an Audio Segment

MevonAI - Speech Emotion Recognition Identify the emotion of multiple speakers in a Audio Segment Report Bug · Request Feature Try the Demo Here Table

Suyash More 110 Dec 03, 2022
An abstraction layer for mathematical optimization solvers.

MathOptInterface Documentation Build Status Social An abstraction layer for mathematical optimization solvers. Replaces MathProgBase. Citing MathOptIn

JuMP-dev 284 Jan 04, 2023
cl;asification problem using classification models in supervised learning

wine-quality-predition---classification cl;asification problem using classification models in supervised learning Wine Quality Prediction Analysis - C

Vineeth Reddy Gangula 1 Jan 18, 2022
Implementation of SSMF: Shifting Seasonal Matrix Factorization

SSMF Implementation of SSMF: Shifting Seasonal Matrix Factorization, Koki Kawabata, Siddharth Bhatia, Rui Liu, Mohit Wadhwa, Bryan Hooi. NeurIPS, 2021

Koki Kawabata 9 Jun 10, 2022