Method for facial emotion recognition compitition of Xunfei and Datawhale .

Related tags

Deep Learningemotion-detectionemotion-recognitionxunfeifacial-emotion-recognitionface-emotion-detectioncompitition
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
GitHub Repository
Docker containers of baseline agents for the Crafter environment

Crafter Baselines This repository contains Docker containers for running various baselines on the Crafter environment. Reward Agents DreamerV2 based o

Danijar Hafner 17 Sep 25, 2022
Code for Transformer Hawkes Process, ICML 2020.

Transformer Hawkes Process Source code for Transformer Hawkes Process (ICML 2020). Run the code Dependencies Python 3.7. Anaconda contains all the req

Simiao Zuo 111 Dec 26, 2022
Object detection on multiple datasets with an automatically learned unified label space.

Simple multi-dataset detection An object detector trained on multiple large-scale datasets with a unified label space; Winning solution of E

Xingyi Zhou 407 Dec 30, 2022
TSIT: A Simple and Versatile Framework for Image-to-Image Translation

TSIT: A Simple and Versatile Framework for Image-to-Image Translation This repository provides the official PyTorch implementation for the following p

Liming Jiang 255 Nov 23, 2022
Machine Translation Implement By Bi-GRU And Transformer

Seq2Seq Translation Implement By Bidirectional GRU And Transformer In Pytorch Before You Run The Code You should download the data through the link be

He Wang 2 Oct 27, 2021
Rank1 Conversation Emotion Detection Task

Rank1-Conversation_Emotion_Detection_Task accuracy macro-f1 recall 0.826 0.7544 0.719 基于预训练模型和时序预测模型的对话情感探测任务 1 摘要 针对对话情感探测任务，本文将其分为文本分类和时间序列预测两个子任务，分

Yuchen Han 2 Nov 28, 2021
Emotional conditioned music generation using transformer-based model.

This is the official repository of EMOPIA: A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generation. The paper has b

hung anna 96 Nov 09, 2022
3D-Reconstruction 基于深度学习方法的单目多视图三维重建

基于深度学习方法的单目多视图三维重建 Part I 三维重建 代码：Part1 技术文档：[Markdown] [PDF] 原始图像：Original Images 点云结果：Point Cloud Results-1

HMT_Curo 19 Dec 26, 2022
Repository for MeshTalk supplemental material and code once the (already approved) 16 GHS captures our lab will make publicly available are released.

meshtalk This repository contains code to run MeshTalk for face animation from audio. If you use MeshTalk, please cite @inproceedings{richard2021mesht

Meta Research 221 Jan 06, 2023
Wileless-PDGNet Implementation

Wileless-PDGNet Implementation This repo is related to the following paper: Boning Li, Ananthram Swami, and Santiago Segarra, "Power allocation for wi

6 Oct 04, 2022
The repo for the paper "I3CL: Intra- and Inter-Instance Collaborative Learning for Arbitrary-shaped Scene Text Detection".

I3CL: Intra- and Inter-Instance Collaborative Learning for Arbitrary-shaped Scene Text Detection Updates | Introduction | Results | Usage | Citation |

33 Jan 05, 2023
WRENCH: Weak supeRvision bENCHmark

🔧 What is it? Wrench is a benchmark platform containing diverse weak supervision tasks. It also provides a common and easy framework for development

Jieyu Zhang 176 Dec 28, 2022
Notebook and code to synthesize complex and highly dimensional datasets using Gretel APIs.

Gretel Trainer This code is designed to help users successfully train synthetic models on complex datasets with high row and column counts. The code w

Gretel.ai 24 Nov 03, 2022
Learning hierarchical attention for weakly-supervised chest X-ray abnormality localization and diagnosis

Hierarchical Attention Mining (HAM) for weakly-supervised abnormality localization This is the official PyTorch implementation for the HAM method. Pap

Xi Ouyang 22 Jan 02, 2023
PyTorch implementation of the YOLO (You Only Look Once) v2

PyTorch implementation of the YOLO (You Only Look Once) v2 The YOLOv2 is one of the most popular one-stage object detector. This project adopts PyTorc

申瑞珉 (Ruimin Shen) 433 Nov 24, 2022
Callable PyTrees and filtered JIT/grad transformations => neural networks in JAX.

Equinox Callable PyTrees and filtered JIT/grad transformations = neural networks in JAX Equinox brings more power to your model building in JAX. Repr

Patrick Kidger 909 Dec 30, 2022
PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017

pytorch-deep-generative-replay PyTorch implementation of Continual Learning with Deep Generative Replay, NIPS 2017 Results Continual Learning on Permu

Junsoo Ha 127 Dec 14, 2022
[Open Source]. The improved version of AnimeGAN. Landscape photos/videos to anime

[Open Source]. The improved version of AnimeGAN. Landscape photos/videos to anime

CC 4.4k Dec 27, 2022
Pytorch implementation of Integrating Tree Path in Transformer for Code Representation

This is an official Pytorch implementation of the approaches proposed in: Han Peng, Ge Li, Wenhan Wang, Yunfei Zhao, Zhi Jin “Integrating Tree Path in

Han Peng 16 Dec 23, 2022
Learning Facial Representations from the Cycle-consistency of Face (ICCV 2021)

Learning Facial Representations from the Cycle-consistency of Face (ICCV 2021) This repository contains the code for our ICCV2021 paper by Jia-Ren Cha

Jia-Ren Chang 40 Dec 27, 2022