DSFD: Dual Shot Face Detector

A PyTorch Implementation of Dual Shot Face Detector

Description

I use basenet vgg to train DSFD,the model can be downloaded in DSFD.the AP in WIDER FACE as following:

Easy MAP	Medium MAP	hard MAP
0.946	0.937	0.880

the AP in AFW,PASCAL,FDDB as following:

AFW	PASCAL	FDDB
99.89	99.11	0.983

I'm using resnet50/resnet101 to train DSFD,the result will be published later on

Requirement

• pytorch 0.3
• opencv
• numpy
• easydict

Prepare data

1. download WIDER face dataset
2. modify data/config.py
3. python prepare_wider_data.py

Train

python train.py --batch_size 4 
		--model vgg\resnet50\resnet101 
		--lr 5e-4

Evalution

according to yourself dataset path,modify data/config.py

1. Evaluate on AFW.

python tools/afw_test.py

2. Evaluate on FDDB

python tools/fddb_test.py

3. Evaluate on PASCAL face

python tools/pascal_test.py

4. test on WIDER FACE

python tools/wider_test.py

Demo

you can test yourself image

python demo.py

Result

1. demo

References

• Dual Shot Face Detector
• ssd.pytorch