Unofficial Pytorch Lightning implementation of Contrastive Syn-to-Real Generalization (ICLR, 2021)

Related tags

Deep LearningCSG
Overview

CSG-lightning

Unofficial Pytorch Lightning implementation of Contrastive Syn-to-Real Generalization (ICLR 2021).

Based on:

Environment Setup

Tested in a Python 3.8 environment in Linux and Windows with:

Installing the dependencies:

pip install pytorch-lightning lightning-bolts torchmetrics

Classification (VisDA17)

Dataset Setup

Download VisDA17 dataset from official website or, use the provided script for your convenience.

# The script downloads and extracts VisDA17 dataset.
# Note: It takes a very long time to download full dataset.
python datasets/prepare_visda17.py

If you downloaded the dataset manually, extract and place them as below.

πŸ“‚ datasets
 ┣ πŸ“‚ visda17
 ┃ ┣ πŸ“‚ train
 ┃ ┃ πŸ“‚ validation
 β”— β”— πŸ“‚ test

How to run

Training

Simply run:

python run.py

or with options,

usage: run.py [-h] [-o OUTPUT] [-r ROOT] [-e EPOCHS] [-lr LEARNING_RATE] [-bs BATCH_SIZE] [-wd WEIGHT_DECAY] [--task {classification,segmentation}] [--encoder {resnet101,deeplab50,deeplab101}] [--momentum MOMENTUM] [--num-classes NUM_CLASSES] [--eval-only] [--gpus GPUS]
              [--resume RESUME] [--dev-run] [--exp-name EXP_NAME] [--augmentation AUGMENTATION] [--seed SEED] [--fc-dim FC_DIM] [--no-apool] [--single-network] [--stages STAGES [STAGES ...]] [--emb-dim EMB_DIM] [--emb-depth EMB_DEPTH] [--num-patches NUM_PATCHES]
              [--moco-weight MOCO_WEIGHT] [--moco-queue-size MOCO_QUEUE_SIZE] [--moco-momentum MOCO_MOMENTUM] [--moco-temperature MOCO_TEMPERATURE]

Evaluation

python run.py --eval-only --resume https://github.com/ryanking13/CSG/releases/download/v0.2/csg_resnet101.ckpt

Results

Model Accuracy
CSG (from paper) 64.1
CSG (reimpl) 67.1

Semantic Segmentation

Dataset Setup (GTA5 ==> Cityscapes)

Download GTA5 and Cityscapes datasets.

Place them as below.

πŸ“‚ datasets
 ┣ πŸ“‚ GTA5
 ┃ ┣ πŸ“‚ images 
 ┃ ┃ ┣ πŸ“œ 00001.png
 ┃ ┃ ┣ ...
 ┃ ┃ β”— πŸ“œ 24966.png
 ┃ ┃ ┣ πŸ“‚ labels
 ┃ ┃ ┣ πŸ“œ 00001.png
 ┃ ┃ ┣ ...
 ┃ ┃ β”— πŸ“œ 24966.png
 ┣ πŸ“‚ cityscapes
 ┃ ┣ πŸ“‚ leftImg8bit
 ┃ ┃ ┣ πŸ“‚ train
 ┃ ┃ ┃ πŸ“‚ val
 β”— β”— β”— πŸ“‚ test
 ┃ ┣ πŸ“‚ gtFine 
 ┃ ┃ ┣ πŸ“‚ train
 ┃ ┃ ┃ πŸ“‚ val
 β”— β”— β”— πŸ“‚ test

How to run

Training

Simply run:

./run_seg.sh

Evaluation

./run_seg --eval-only --resume https://github.com/ryanking13/CSG/releases/download/v0.2/csg_deeplab50.ckpt

Results

Model IoU
CSG (from paper) 35.27
CSG (reimpl) 34.71

Differences from official implementation

  • Warmup LR scheduler
  • No layerwise LR modification
  • RandAugment augmentation types

Known Issues

  • I got error Distributed package doesn't have NCCL built in

On windows, nccl is not supported, try:

set PL_TORCH_DISTRIBUTED_BACKEND=gloo
You might also like...
Unofficial PyTorch implementation of
Unofficial PyTorch implementation of "RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving" (ECCV 2020)

RTM3D-PyTorch The PyTorch Implementation of the paper: RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving (ECCV 2020

Nguyen Mau Dzung 271 Nov 29, 2022
RGBD-Net - This repository contains a pytorch lightning implementation for the 3DV 2021 RGBD-Net paper.
RGBD-Net - This repository contains a pytorch lightning implementation for the 3DV 2021 RGBD-Net paper.

[3DV 2021] We propose a new cascaded architecture for novel view synthesis, called RGBD-Net, which consists of two core components: a hierarchical depth regression network and a depth-aware generator network.

Phong Nguyen Ha 4 May 26, 2022
An essential implementation of BYOL in PyTorch + PyTorch Lightning
An essential implementation of BYOL in PyTorch + PyTorch Lightning

Essential BYOL A simple and complete implementation of Bootstrap your own latent: A new approach to self-supervised Learning in PyTorch + PyTorch Ligh

Enrico Fini 48 Sep 27, 2022
Unofficial implementation of
Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)

TTNet-Pytorch The implementation for the paper "TTNet: Real-time temporal and spatial video analysis of table tennis" An introduction of the project c

Nguyen Mau Dung 438 Dec 29, 2022
Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pytorch. Idea proposed and accepted at ICLR 2021
Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pytorch. Idea proposed and accepted at ICLR 2021

Geometric Vector Perceptron Implementation of Geometric Vector Perceptron, a simple circuit with 3d rotation equivariance for learning over large biom

Phil Wang 59 Nov 24, 2022
Pytorch implementation of BRECQ, ICLR 2021

BRECQ Pytorch implementation of BRECQ, ICLR 2021 @inproceedings{ li&gong2021brecq, title={BRECQ: Pushing the Limit of Post-Training Quantization by Bl

Yuhang Li 148 Dec 28, 2022
Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two
Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two

512x512 flowers after 12 hours of training, 1 gpu 256x256 flowers after 12 hours of training, 1 gpu Pizza 'Lightweight' GAN Implementation of 'lightwe

Phil Wang 1.5k Jan 2, 2023
This repo contains the pytorch implementation for Dynamic Concept Learner (accepted by ICLR 2021).
This repo contains the pytorch implementation for Dynamic Concept Learner (accepted by ICLR 2021).

DCL-PyTorch Pytorch implementation for the Dynamic Concept Learner (DCL). More details can be found at the project page. Framework Grounding Physical

Zhenfang Chen 31 Jan 6, 2023
An implementation demo of the ICLR 2021 paper Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks in PyTorch.

Neural Attention Distillation This is an implementation demo of the ICLR 2021 paper Neural Attention Distillation: Erasing Backdoor Triggers from Deep

Yige-Li 84 Jan 4, 2023
Releases(v0.2)
Owner
Gyeongjae Choi
Gyeongjae Choi
GitHub Repository
Bachelor's Thesis in Computer Science: Privacy-Preserving Federated Learning Applied to Decentralized Data

federated is the source code for the Bachelor's Thesis Privacy-Preserving Federated Learning Applied to Decentralized Data (Spring 2021, NTNU) Federat

Dilawar Mahmood 25 Nov 30, 2022
Implementing a simplified copy of Shazam application from scratch using MinHashing and LSH.

Building Shazam from scratch In this repository we tried to implement a simplified copy of the Shazam application able to tell you the name of a song

Arturo Ghinassi 0 Nov 17, 2022
Efficient electromagnetic solver based on rigorous coupled-wave analysis for 3D and 2D multi-layered structures with in-plane periodicity

Efficient electromagnetic solver based on rigorous coupled-wave analysis for 3D and 2D multi-layered structures with in-plane periodicity, such as gratings, photonic-crystal slabs, metasurfaces, surf

Alex Song 17 Dec 19, 2022
a project for 3D multi-object tracking

a project for 3D multi-object tracking

155 Jan 04, 2023
Management Dashboard for Torchserve

Torchserve Dashboard Torchserve Dashboard using Streamlit Related blog post Usage Additional Requirement: torchserve (recommended:v0.5.2) Simply run:

Ceyda Cinarel 103 Dec 10, 2022
AutoML library for deep learning

Official Website: autokeras.com AutoKeras: An AutoML system based on Keras. It is developed by DATA Lab at Texas A&M University. The goal of AutoKeras

Keras 8.7k Jan 08, 2023
CoReD: Generalizing Fake Media Detection with Continual Representation using Distillation (ACMMM'21 Oral Paper)

CoReD: Generalizing Fake Media Detection with Continual Representation using Distillation (ACMMM'21 Oral Paper) (Accepted for oral presentation at ACM

Minha Kim 1 Nov 12, 2021
PyTorch implementation of PP-LCNet

PP-LCNet-Pytorch Pre-Trained Models Google Drive p018 Accuracy Models Top1 Top5 PPLCNet_x0_25 0.5186 0.7565 PPLCNet_x0_35 0.5809 0.8083 PPLCNet_x0_5 0

24 Dec 12, 2022
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)

S2-BNN (Self-supervised Binary Neural Networks Using Distillation Loss) This is the official pytorch implementation of our paper: "S2-BNN: Bridging th

Zhiqiang Shen 52 Dec 24, 2022
Pure python implementation reverse-mode automatic differentiation

MiniGrad A minimal implementation of reverse-mode automatic differentiation (a.k.a. autograd / backpropagation) in pure Python. Inspired by Andrej Kar

Kenny Song 76 Sep 12, 2022
PyTorch-LIT is the Lite Inference Toolkit (LIT) for PyTorch which focuses on easy and fast inference of large models on end-devices.

PyTorch-LIT PyTorch-LIT is the Lite Inference Toolkit (LIT) for PyTorch which focuses on easy and fast inference of large models on end-devices. With

Amin Rezaei 157 Dec 11, 2022
A Pythonic library for Nvidia Codec.

A Pythonic library for Nvidia Codec. The project is still in active development; expect breaking changes. Why another Python library for Nvidia Codec?

Zesen Qian 12 Dec 27, 2022
Intelligent Video Analytics toolkit based on different inference backends.

English | δΈ­ζ–‡ OpenIVA OpenIVA is an end-to-end intelligent video analytics development toolkit based on different inference backends, designed to help

Quantum Liu 15 Oct 27, 2022
[CVPR 2022] Thin-Plate Spline Motion Model for Image Animation.

[CVPR2022] Thin-Plate Spline Motion Model for Image Animation Source code of the CVPR'2022 paper "Thin-Plate Spline Motion Model for Image Animation"

yoyo-nb 1.4k Dec 30, 2022
Dynamic Multi-scale Filters for Semantic Segmentation (DMNet ICCV'2019)

Dynamic Multi-scale Filters for Semantic Segmentation (DMNet ICCV'2019) Introduction Official implementation of Dynamic Multi-scale Filters for Semant

23 Oct 21, 2022
PHOTONAI is a high level python API for designing and optimizing machine learning pipelines.

PHOTONAI is a high level python API for designing and optimizing machine learning pipelines. We've created a system in which you can easily select and

Medical Machine Learning Lab - University of MΓΌnster 57 Nov 12, 2022
PESTO: Switching Point based Dynamic and Relative Positional Encoding for Code-Mixed Languages

PESTO: Switching Point based Dynamic and Relative Positional Encoding for Code-Mixed Languages Abstract NLP applications for code-mixed (CM) or mix-li

Mohsin Ali, Mohammed 1 Nov 12, 2021
Look Who’s Talking: Active Speaker Detection in the Wild

Look Who's Talking: Active Speaker Detection in the Wild Dependencies pip install -r requirements.txt In addition to the Python dependencies, ffmpeg

Clova AI Research 60 Dec 08, 2022
Leveraging OpenAI's Codex to solve cornerstone problems in Music

Music-Codex Leveraging OpenAI's Codex to solve cornerstone problems in Music Please NOTE: Presented generated samples were created by OpenAI's Codex P

Alex 2 Mar 11, 2022
Code for the paper "On the Power of Edge Independent Graph Models"

Edge Independent Graph Models Code for the paper: "On the Power of Edge Independent Graph Models" Sudhanshu Chanpuriya, Cameron Musco, Konstantinos So

Konstantinos Sotiropoulos 0 Oct 26, 2021