ildoonet / Deepface
Licence: mit
Deep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow
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deepface
Deep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow.
Here is the snippet of using this repository : Colab
Main Contributers
@ildoonet @kimdwkimdw @hahahahannie @jaehobang
Models
Baseline
A baseline model use dlib face detection module to crop rois. Then they will be forwarded at the vggface network to extract features.
- dlib face detection
- dlib face alignment
- VGGFace face recognition
- SSD Face Detection
- Mobilenet V2
- Training : https://github.com/ildoonet/deepface/tree/train/detector
Experiments
LFW Dataset
| Detector | Recognition Model | Description | Set | 1-EER | Accuracy |
|---|---|---|---|---|---|
| VGG | Paper, No Embedding, Trained | Test | 0.9673 | ||
| VGG | Paper, Embedding, Trained | Test | 0.9913 | ||
| dlib | VGG | no embedding, no training on lfw | Test | 0.9400 | 0.936 |
| dlib | VGG2-Resnet | no training on lfw | Test | 0.9680 | 0.949 |
| SSD Mobilenet-v2 |
VGG2-Resnet | no training on lfw | Test | 0.990 | 0.973 |
Install
Requirements
- tensorflow >= 1.8.0
- opencv >= 3.4.1
Install & Download Models
$ pip install -r requirements.txt
$ cd detectors/dlib
$ bash download.sh
$ cd ../ssd
$ bash download.sh
$ cd ../../recognizers/vggface/
$ bash download.sh
$ cd ../vggface2_resnet/
$ bash download.sh
Run
Test on samples
$ python bin/run_example.py run --source_path=./samples/faces --db_path=./sample_db.pkl --img_path=./samples/blackpink/blackpink1.jpg --method=vgg2
Test on a image
$ python bin/face.py run --visualize=true --image=./samples/blackpink/blackpink1.jpg
Reference
Models
[1] VGG Face : http://www.robots.ox.ac.uk/~vgg/software/vgg_face/
[2] VGG Face in Tensorflow : https://github.com/ZZUTK/Tensorflow-VGG-face
[3] DLib : https://github.com/davisking/dlib
[4] Dlib Guide Blog : https://www.pyimagesearch.com/2017/04/03/facial-landmarks-dlib-opencv-python/
[5] VGG Face 2 Project : https://www.robots.ox.ac.uk/~vgg/data/vgg_face2/
[6] Kera VGG Face2 : https://github.com/rcmalli/keras-vggface
Datasets
[1] LFW : http://vis-www.cs.umass.edu/lfw/
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