MogFace: Towards a Deeper Appreciation on Face Detection

Related tags

Deep LearningMogFace
Overview

MogFace: Towards a Deeper Appreciation on Face Detection

Introduction

  • In this repo, we propose a promising face detector, termed as MogFace.

  • Our MogFace consists of 3 novel modules, including Ali-AMS, SSE and HCAM.

  • Our MogFace achieves six champions on WIDER FACE.

Prepare Environment

conda create -n MogFace python=3.6
conda activate MogFace
pip install -r requirements.txt
cd utils/nms && python setup.py build_ext --inplace && cd ../..
cd utils/bbox && python setup.py build_ext --inplace && cd ../..

Data Preparation

  1. Download preatrain_weights into pretrain_weights
  2. Download the WIDERFACE dataset.
  3. Organize the dataset directory under Mogface/ as follows; We also provide the organized dataset.
  dataset/WIDERFACE/
    WIDER_train/
      images/
    WIDER_val/
      images/
    WIDER_test/
      images/
    wider_face_split/
      wider_face_train_bbx_gt.txt
      wider_face_val.mat
      wider_face_test.mat
    ground_truth/

Training

  1. Train Ali-AMS
  CUDA_VISIBLE_DEVICES=0,1,2,3 python train.py -c configs/mogface/MogFace_Ali-AMS.yml
  1. Train SSE
  CUDA_VISIBLE_DEVICES=0,1,2,3 python train.py -c configs/mogface/MogFace_SSE.yml
  1. Train HCAM
  CUDA_VISIBLE_DEVICES=0,1,2,3 python train.py -c configs/mogface/MogFace_HCAM.yml

Testing

  1. Single scale test on $CONFIG_FILE$
  CUDA_VISIBLE_DEVICES=0 python test_single.py -c $CONFIG_FILE$
  CUDA_VISIBLE_DEVICES=0 python test_single.py -c configs/mogface/MogFace_Ali-AMS.yml
  1. Multi scale test on $CONFIG_FILE$
  CUDA_VISIBLE_DEVICES=0 python test_multi.py -c $CONFIG_FILE$

MogFace Pretrained Models

Name Easy Medium Hard Link
MogFace_Ali-AMS (SS_test) 94.6 93.6 87.3 download
MogFace_SSE (SS_test) 95.6 94.1 - download
MogFace_HCAM (SS_test) 95.1 94.2 87.4 download
MogFace-E (MS_test) 97.7 96.9 92.0 download
MogFace (MS_test) 97.0 96.3 93.0 download
  • MS_Test: multi-scale testing
  • SS_Test: single-scale testing
  CUDA_VISIBLE_DEVICES=0 python test_multi.py -c configs/mogface/MogFace.yml -n 140 --test_hard 1
  CUDA_VISIBLE_DEVICES=1 python test_multi.py -c configs/mogface/MogFace_E.yml -n 140

The best MogFace model and some tricks will be released soon.

USAGE

  1. Download MogFace-E Pretrained Model from link
  2. mkdir -p snapshots/MogFace-E && mv model_140000.pth snapshots/MogFace-E/
  3. CUDA_VISIBLE_DEVICES=0 python test_multi.py -c configs/mogface/MogFace-E.yml -n 140
Owner
A vision team from Alibaba
Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"

On the Bottleneck of Graph Neural Networks and its Practical Implications This is the official implementation of the paper: On the Bottleneck of Graph

75 Dec 22, 2022
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models

Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models Abstract Many applications of generative models rely on the marginali

Stanford Intelligent Systems Laboratory 9 Jun 06, 2022
(3DV 2021 Oral) Filtering by Cluster Consistency for Large-Scale Multi-Image Matching

Scalable Cluster-Consistency Statistics for Robust Multi-Object Matching (3DV 2021 Oral Presentation) Filtering by Cluster Consistency (FCC) is a very

Yunpeng Shi 11 Sep 28, 2022
Denoising Diffusion Probabilistic Models

Denoising Diffusion Probabilistic Models This repo contains code for DDPM training. Based on Denoising Diffusion Probabilistic Models, Improved Denois

Alexander Markov 7 Dec 15, 2022
Project dự đoán giá cổ phiếu bằng thuật toán LSTM gồm: code train và code demo

Web predicts stock prices using Long - Short Term Memory algorithm Give me some start please!!! User interface image: Choose: DayBegin, DayEnd, Stock

Vo Thuong Truong Nhon 8 Nov 11, 2022
Learning Neural Painters Fast! using PyTorch and Fast.ai

The Joy of Neural Painting Learning Neural Painters Fast! using PyTorch and Fast.ai Blogpost with more details: The Joy of Neural Painting The impleme

Libre AI 72 Nov 10, 2022
Python implementation of "Single Image Haze Removal Using Dark Channel Prior"

##Dependencies pillow(~2.6.0) Numpy(~1.9.0) If the scripts throw AttributeError: __float__, make sure your pillow has jpeg support e.g. try: $ sudo ap

Joyee Cheung 73 Dec 20, 2022
Container : Context Aggregation Network

Container : Context Aggregation Network If you use this code for a paper please cite: @article{gao2021container, title={Container: Context Aggregati

AI2 47 Dec 16, 2022
Code to go with the paper "Decentralized Bayesian Learning with Metropolis-Adjusted Hamiltonian Monte Carlo"

dblmahmc Code to go with the paper "Decentralized Bayesian Learning with Metropolis-Adjusted Hamiltonian Monte Carlo" Requirements: https://github.com

1 Dec 17, 2021
The official pytorch implemention of the CVPR paper "Temporal Modulation Network for Controllable Space-Time Video Super-Resolution".

This is the official PyTorch implementation of TMNet in the CVPR 2021 paper "Temporal Modulation Network for Controllable Space-Time VideoSuper-Resolu

Gang Xu 95 Oct 24, 2022
ObsPy: A Python Toolbox for seismology/seismological observatories.

ObsPy is an open-source project dedicated to provide a Python framework for processing seismological data. It provides parsers for common file formats

ObsPy 979 Jan 07, 2023
TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in Video

TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in Video Timely handgun detection is a cr

Mario Duran-Vega 18 Dec 26, 2022
ICLR 2021: Pre-Training for Context Representation in Conversational Semantic Parsing

SCoRe: Pre-Training for Context Representation in Conversational Semantic Parsing This repository contains code for the ICLR 2021 paper "SCoRE: Pre-Tr

Microsoft 28 Oct 02, 2022
Official implementation of our paper "LLA: Loss-aware Label Assignment for Dense Pedestrian Detection" in Pytorch.

LLA: Loss-aware Label Assignment for Dense Pedestrian Detection This project provides an implementation for "LLA: Loss-aware Label Assignment for Dens

35 Dec 06, 2022
EssentialMC2 Video Understanding

EssentialMC2 Introduction EssentialMC2 is a complete system to solve video understanding tasks including MHRL(representation learning), MECR2( relatio

Alibaba 106 Dec 11, 2022
A Structured Self-attentive Sentence Embedding

Structured Self-attentive sentence embeddings Implementation for the paper A Structured Self-Attentive Sentence Embedding, which was published in ICLR

Kaushal Shetty 488 Nov 28, 2022
Job Assignment System by Real-time Emotion Detection

Emotion-Detection Job Assignment System by Real-time Emotion Detection Emotion is the essential role of facial expression and it could provide a lot o

1 Feb 08, 2022
A Fast Monotone Rotating Shallow Water model

pyRSW A Fast Monotone Rotating Shallow Water model How fast? As fast as a sustained 2 Gflop/s per core on a 2.5 GHz cpu (or 2048 Gflop/s with 1024 cor

Guillaume Roullet 13 Sep 28, 2022
Paddle-Adversarial-Toolbox (PAT) is a Python library for Deep Learning Security based on PaddlePaddle.

Paddle-Adversarial-Toolbox Paddle-Adversarial-Toolbox (PAT) is a Python library for Deep Learning Security based on PaddlePaddle. Model Zoo Common FGS

AgentMaker 17 Nov 08, 2022
TensorFlow implementation of the algorithm in the paper "Decoupled Low-light Image Enhancement"

Decoupled Low-light Image Enhancement Shijie Hao1,2*, Xu Han1,2, Yanrong Guo1,2 & Meng Wang1,2 1Key Laboratory of Knowledge Engineering with Big Data

17 Apr 25, 2022