Method for facial emotion recognition compitition of Xunfei and Datawhale .

Overview

人脸情绪识别挑战赛-第3名-W03KFgNOc-源代码、模型以及说明文档

  1. 队名:W03KFgNOc
  2. 排名:3
  3. 正确率: 0.75564
  4. 队员:yyMoming,xkwang,RichardoMu
  5. 比赛链接:人脸情绪识别挑战赛
  6. 文章地址:link

emotion

该项目分别训练八个模型并生成csv文件,并进行融合

构建conda环境

conda create -n emotion python==3.8.0
conda activate emotion
cd {project_path}
pip install -r requirements.txt

训练

打开train.sh,可以看到训练的命令行,依次注释和解注释随后运行train.sh。 因为是训练八个模型,分别是efficientnet_b2b, efficientnet_b3b, cbam_resnet50, resmasking,resmasking_dropout1,resnest269e,swin,hrnet_w64,所以要训练和测试,需要分别进行8次。

  1. 训练efficientnet_b2b
python main_fer2013.py --config ./config/efficientnet_b2b_config.json
  1. 训练efficientnet_b3b
python main_fer2013.py --config ./config/efficientnet_b3b_config.json
  1. 训练cbam_resnet50
python main_fer2013.py --config ./config/cbam_resnet50_config.json
  1. 训练hrnet_w64
python main_fer2013.py --config ./config/hrnet_w64_config.json
  1. 训练resmasking
python main_fer2013.py --config ./config/resmasking_config.json
  1. 训练resmasking_dropout1
python main_fer2013.py --config ./config/resmasking_dropout1_config.json
  1. 训练resnest269e
python main_fer2013.py --config ./config/resnest269e_config.json
  1. 训练swin
python main_fer2013.py --config ./config/swin_config.json

checkpoint保存在{project_path}/checkpoint目录下,可以在log文件夹下查看训练的日志。

预测

具体内容在test.sh文件中。各个模型我们存放在百度云盘 https://pan.baidu.com/s/1mM-APWoLV5P3nvrzmG--Jg 提取码 1gyh

下载后复制到user_data/model_data下面即可运行下面的命令进行预测。

  1. 预测efficientnet_b2b
python gen_results.py --config ./config/efficientnet_b2b_config.json --model_name efficientnet_b2b --checkpoint_path efficientnet_b2b_2021Jul25_17.08
  1. 预测efficientnet_b3b
python gen_results.py --config ./config/efficientnet_b3b_config.json --model_name efficientnet_b3b --checkpoint_path efficientnet_b3b_2021Jul25_20.08
  1. 测试cbam_resnet50
python gen_results.py --config ./config/cbam_resnet50_config.json --model_name cbam_resnet50 --checkpoint_path cbam_resnet50_test_2021Jul24_19.18
  1. 测试hrnet_w64
python gen_results.py --config ./config/hrnet_w64_config.json --model_name hrnet_w64 --checkpoint_path hrnet_test_2021Aug01_17.13
  1. 测试resmasking
python gen_results.py --config ./config/resmasking_config.json --model_name resmasking --checkpoint_path resmasking_test_2021Jul26_14.33
  1. 测试resmasking_dropout1
python gen_results.py --config ./config/resmasking_dropout1_config.json --model_name resmasking_dropout1 --checkpoint_path resmasking_dropout1_test_2021Aug01_17.13
  1. 测试resnest269e
python gen_results.py --config ./config/resnest269e_config.json --model_name resnest269e --checkpoint_path resnest269e_test_2021Aug02_11.39
  1. 测试swin
python gen_results.py --config ./config/swin_config.json --model_name swin_large_patch4_window7_224 --checkpoint_path swin_large_patch4_window7_224_test_2021Aug02_21.36

请注意,这里的model_name是确定的,checkpoint_path是你训练得到模型的名字,如果你自己训练了其中的一些模型,请将对应的名称修改为训练得到模型的名称。

集成

上述8个模型的预测结果统一放在user_data/tmp_data里面,下面使用集成方法对上述八个模型的结果进行整合。

python gen_ensemble.py

我们将上述八个模型的结果进行集成,最终生成的文件放在prediction_result下面的result.csv文件中。

Owner
Working in human-computer-interaction, gaze-estimation and class education analysis. CSDN:https://blog.csdn.net/weixin_42264234
Prototypical Networks for Few shot Learning in PyTorch

Prototypical Networks for Few shot Learning in PyTorch Simple alternative Implementation of Prototypical Networks for Few Shot Learning (paper, code)

Orobix 835 Jan 08, 2023
This repository is an implementation of paper : Improving the Training of Graph Neural Networks with Consistency Regularization

CRGNN Paper : Improving the Training of Graph Neural Networks with Consistency Regularization Environments Implementing environment: GeForce RTX™ 3090

THUDM 28 Dec 09, 2022
The code for Bi-Mix: Bidirectional Mixing for Domain Adaptive Nighttime Semantic Segmentation

BiMix The code for Bi-Mix: Bidirectional Mixing for Domain Adaptive Nighttime Semantic Segmentation arxiv Framework: visualization results: Requiremen

stanley 18 Sep 18, 2022
Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"

Subg-Con Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning (Jiao et al., ICDM 2020): https://arxiv.org/abs/2009.10273 Over

34 Jul 06, 2022
Active window border replacement for window managers.

xborder Active window border replacement for window managers. Usage git clone https://github.com/deter0/xborder cd xborder chmod +x xborders ./xborder

deter 250 Dec 30, 2022
A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."

EfficientNet A PyTorch implementation of EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks. [arxiv] [Official TF Repo] Implemen

AhnDW 298 Dec 10, 2022
Politecnico of Turin Thesis: "Implementation and Evaluation of an Educational Chatbot based on NLP Techniques"

THESIS_CAIRONE_FIORENTINO Politecnico of Turin Thesis: "Implementation and Evaluation of an Educational Chatbot based on NLP Techniques" GENERATE TOKE

cairone_fiorentino97 1 Dec 10, 2021
A collection of SOTA Image Classification Models in PyTorch

A collection of SOTA Image Classification Models in PyTorch

sithu3 85 Dec 30, 2022
Snscrape-jsonl-urls-extractor - Extracts urls from jsonl produced by snscrape

snscrape-jsonl-urls-extractor extracts urls from jsonl produced by snscrape Usag

1 Feb 26, 2022
Style transfer, deep learning, feature transform

FastPhotoStyle License Copyright (C) 2018 NVIDIA Corporation. All rights reserved. Licensed under the CC BY-NC-SA 4.0 license (https://creativecommons

NVIDIA Corporation 10.9k Jan 02, 2023
Final project for Intro to CS class.

Financial Analysis Web App https://share.streamlit.io/mayurk1/fin-web-app-final-project/webApp.py 1. Project Description This project is a technical a

Mayur Khanna 1 Dec 10, 2021
Video Frame Interpolation with Transformer (CVPR2022)

VFIformer Official PyTorch implementation of our CVPR2022 paper Video Frame Interpolation with Transformer Dependencies python = 3.8 pytorch = 1.8.0

DV Lab 63 Dec 16, 2022
DataCLUE: 国内首个以数据为中心的AI测评(含模型分析报告)

DataCLUE: A Benchmark Suite for Data-centric NLP You can get the english version of README. 以数据为中心的AI测评(DataCLUE) 内容导引 章节 描述 简介 介绍以数据为中心的AI测评(DataCLUE

CLUE benchmark 135 Dec 22, 2022
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks

YOLOR implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks To reproduce the results in the paper, please us

Kin-Yiu, Wong 1.8k Jan 04, 2023
High-fidelity 3D Model Compression based on Key Spheres

High-fidelity 3D Model Compression based on Key Spheres This repository contains the implementation of the paper: Yuanzhan Li, Yuqi Liu, Yujie Lu, Siy

5 Oct 11, 2022
FAVD: Featherweight Assisted Vulnerability Discovery

FAVD: Featherweight Assisted Vulnerability Discovery This repository contains the replication package for the paper "Featherweight Assisted Vulnerabil

secureIT 4 Sep 16, 2022
Grounding Representation Similarity with Statistical Testing

Grounding Representation Similarity with Statistical Testing This repo contains code to replicate the results in our paper, which evaluates representa

26 Dec 02, 2022
PyG (PyTorch Geometric) - A library built upon PyTorch to easily write and train Graph Neural Networks (GNNs)

PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data.

PyG 16.5k Jan 08, 2023
A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning", IJCAI-21

MERIT A PyTorch implementation of our IJCAI-21 paper Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. Depen

Graph Analysis & Deep Learning Laboratory, GRAND 32 Jan 02, 2023
Half Instance Normalization Network for Image Restoration

HINet Half Instance Normalization Network for Image Restoration, based on https://github.com/megvii-model/HINet. Dependencies NumPy PyTorch, preferabl

Holy Wu 4 Jun 06, 2022