A PyTorch Implementation of Single Shot Scale-invariant Face Detector.

Overview

S³FD: Single Shot Scale-invariant Face Detector

A PyTorch Implementation of Single Shot Scale-invariant Face Detector.

Eval

python wider_eval_pytorch.py

cd eval/eval_tools_old-version
octave wider_eval_pytorch.m

Model

s3fd_convert.7z

Test

python test.py --model data/s3fd_convert.pth --path data/test01.jpg

output

References

SFD

Comments
  • RGB <-> BGR

    RGB <-> BGR

    From this line, I assume you use RGB: img = img - np.array([104,117,123])

    However opencv uses BGR, so this line returns BGR: if args.path=='CAMERA': ret, img = cap.read()

    Then BGR is fed to the network bboxlist = detect(net,img)

    I fed RGB to the network and got worse results. Is it possible that you meant RGB in all places but the network is actually trained for BGR? (If then it should be img = img - np.array([123,117,104]))

    opened by elbaro 3
  • How Convert Weights

    How Convert Weights

    Dear @clcarwin, Thank you for your nice work. Would you please tell me how you can convert Caffe weights and model of S3FD into PyTorch? Can you convert the model & pre-trained weights of RefineDet into PyTorch?

    opened by ahkarami 2
  • evaluation accuracy is not good as the original paper

    evaluation accuracy is not good as the original paper

    hi @clcarwin,

    I test you evaluation results on wider face as (easy 92.8, medium 91.5, hard 84.2). But with the original model provided by sfzhang15/SFD, I can get (easy 93.8, medium 92.4, hard 85.1).

    Did I test correctly? If so, why there is accuracy loss?

    Great work! Best,

    opened by marvis 2
  • 'float' object cannot be interpreted as an integer??

    'float' object cannot be interpreted as an integer??

    Sir,I'm sorry to disturb you about this object. I run this object on windows 10,python 3.5.2 ,pytorch 0.3. After : python test.py --model data/s3fd_convert.pth --path data/test01.jpg, the screen display: D:\Python\Pytorch_cw_sfd\SFD_pytorch>python test.py --model data/s3fd_convert.pth --path data/test01.jpg Traceback (most recent call last): File "test.py", line 71, in bboxlist = detect(net,img) File "test.py", line 27, in detect for i in range(len(olist)/2): olist[i2] = F.softmax(olist[i2]) TypeError: 'float' object cannot be interpreted as an integer

    Why ???

    opened by door5719 1
  • padding size of fc6

    padding size of fc6

    Hi @clcarwin,

    Why do you set the padding size of fc6 to 3? This is inconsistent with the original paper. See https://github.com/clcarwin/SFD_pytorch/blob/master/net_s3fd.py#L42

    Best,

    opened by marvis 1
  • Optimization

    Optimization

    Good: It is accurate.

    Bad: The inference time is more than 80 ms for realtime usage. To make it work for realtime image has to be resized to less than 200x200 which reduces accuracy.

    So in order to make it usable the only way is to make it faster. Have you tried using TensorRT or TVM or Pytorch serving in C++ ?

    opened by jamessmith90 0
  • Several speed & code updates

    Several speed & code updates

    Seems nobody's looking at PR's here, but letting others know I've made a number of improvements.

    It runs smoothly on modern pytorch (1.3) and refactored the code to eliminate redundant code. I also added some convenient methods that make it easier to do common things, like detect_faces. Also, added integration tests.

    I independently found the same speed-up as @kir-dan in https://github.com/clcarwin/SFD_pytorch/pull/4 and moved all that code into pytorch instead of numpy, so it can be fully run on GPU.

    opened by leopd 0
  • Very high GPU memory usage

    Very high GPU memory usage

    Hi, I have been running the model using test.py and modified it run multiple files. The GPU memory keeps on increasing,from 3gigs to 9 gigs. Is this due to poor garbage collection?

    opened by vaishnavm217 2
  • Change Anchor Boxes Aspect Ratio

    Change Anchor Boxes Aspect Ratio

    Dear @clcarwin, If one wants to change the aspect ratio of anchor boxes, must just changed the detect method in test.py? For example, line https://github.com/clcarwin/SFD_pytorch/blob/96fdfbe22eef176a04802d915834b82a131a854d/test.py#L39 or other methods moreover must changed?

    opened by ahkarami 0
  • About data augmentation

    About data augmentation

    When I use the Tensorflow to build the project, I have some trouble in data augmentation which describe in the paper. Can you tell the details of the data augmentation or show your data augmentation code to me. Thank you

    opened by ckqsars 0
Owner
carwin
carwin
Official implementation of Deep Burst Super-Resolution

Deep-Burst-SR Official implementation of Deep Burst Super-Resolution Publication: Deep Burst Super-Resolution. Goutam Bhat, Martin Danelljan, Luc Van

Goutam Bhat 113 Dec 19, 2022
Cross-Document Coreference Resolution

Cross-Document Coreference Resolution This repository contains code and models for end-to-end cross-document coreference resolution, as decribed in ou

Arie Cattan 29 Nov 28, 2022
Rule Extraction Methods for Interactive eXplainability

REMIX: Rule Extraction Methods for Interactive eXplainability This repository contains a variety of tools and methods for extracting interpretable rul

Mateo Espinosa Zarlenga 21 Jan 03, 2023
Contains code for Deep Kernelized Dense Geometric Matching

DKM - Deep Kernelized Dense Geometric Matching Contains code for Deep Kernelized Dense Geometric Matching We provide pretrained models and code for ev

Johan Edstedt 83 Dec 23, 2022
Code for "Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency" paper

UNICORN 🦄 Webpage | Paper | BibTex PyTorch implementation of "Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency" pap

118 Jan 06, 2023
Algorithmic Trading using RNN

Deep-Trading This an implementation adapted from Rachnog Neural networks for algorithmic trading. Part One — Simple time series forecasting and this c

Hazem Nomer 29 Sep 04, 2022
Fastquant - Backtest and optimize your trading strategies with only 3 lines of code!

fastquant 🤓 Bringing backtesting to the mainstream fastquant allows you to easily backtest investment strategies with as few as 3 lines of python cod

Lorenzo Ampil 1k Dec 29, 2022
TransPrompt - Towards an Automatic Transferable Prompting Framework for Few-shot Text Classification

TransPrompt This code is implement for our EMNLP 2021's paper 《TransPrompt:Towards an Automatic Transferable Prompting Framework for Few-shot Text Cla

WangJianing 23 Dec 21, 2022
⚖️🔁🔮🕵️‍♂️🦹🖼️ Code for *Measuring the Contribution of Multiple Model Representations in Detecting Adversarial Instances* paper.

Measuring the Contribution of Multiple Model Representations in Detecting Adversarial Instances This repository contains the code for Measuring the Co

Daniel Steinberg 0 Nov 06, 2022
Official Implementation for HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing

HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing Yuval Alaluf*, Omer Tov*, Ron Mokady, Rinon Gal, Amit H. Bermano *Denotes equ

885 Jan 06, 2023
Auto White-Balance Correction for Mixed-Illuminant Scenes

Auto White-Balance Correction for Mixed-Illuminant Scenes Mahmoud Afifi, Marcus A. Brubaker, and Michael S. Brown York University Video Reference code

Mahmoud Afifi 47 Nov 26, 2022
[BMVC2021] "TransFusion: Cross-view Fusion with Transformer for 3D Human Pose Estimation"

TransFusion-Pose TransFusion: Cross-view Fusion with Transformer for 3D Human Pose Estimation Haoyu Ma, Liangjian Chen, Deying Kong, Zhe Wang, Xingwei

Haoyu Ma 29 Dec 23, 2022
Ranger deep learning optimizer rewrite to use newest components

Ranger21 - integrating the latest deep learning components into a single optimizer Ranger deep learning optimizer rewrite to use newest components Ran

Less Wright 266 Dec 28, 2022
This implements one of result networks from Large-scale evolution of image classifiers

Exotic structured image classifier This implements one of result networks from Large-scale evolution of image classifiers by Esteban Real, et. al. Req

54 Nov 25, 2022
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

deepface Deepface is a lightweight face recognition and facial attribute analysis (age, gender, emotion and race) framework for python. It is a hybrid

Sefik Ilkin Serengil 5.2k Jan 02, 2023
This toolkit provides codes to download and pre-process the SLUE datasets, train the baseline models, and evaluate SLUE tasks.

slue-toolkit We introduce Spoken Language Understanding Evaluation (SLUE) benchmark. This toolkit provides codes to download and pre-process the SLUE

ASAPP Research 39 Sep 21, 2022
Tools for computational pathology

A toolkit for computational pathology and machine learning. View documentation Please cite our paper Installation There are several ways to install Pa

254 Dec 12, 2022
Parallel and High-Fidelity Text-to-Lip Generation; AAAI 2022 ; Official code

Parallel and High-Fidelity Text-to-Lip Generation This repository is the official PyTorch implementation of our AAAI-2022 paper, in which we propose P

Zhying 77 Dec 21, 2022
Pocsploit is a lightweight, flexible and novel open source poc verification framework

Pocsploit is a lightweight, flexible and novel open source poc verification framework

cckuailong 208 Dec 24, 2022
Fully Connected DenseNet for Image Segmentation

Fully Connected DenseNets for Semantic Segmentation Fully Connected DenseNet for Image Segmentation implementation of the paper The One Hundred Layers

Somshubra Majumdar 84 Oct 31, 2022