Releases: matlab-deep-learning/mtcnn-face-detection
Releases · matlab-deep-learning/mtcnn-face-detection
MTCNN Face Detection v1.2.4
- Fixes bug when using a GPU in R2020b (#20)
MTCNN Face Detection v1.2.3
- Fixes bug in relative ordering of boxes and landmarks as well as potential error when there are overlapping boxes (#17)
- 2 point version increase to be able to use GitHub releases integration on File Exchange.
MTCNN Face Detection v1.2.1
- Fixes bug when using UseGPU=True with UseDagNet=True (i.e. R2019a support) (#12)
MTCNN Face Detection v1.2.0
- Adds support for R2019a
- Uses DAGNetwork versions of the CNNs for compatibility with R2019a
detect
anddetectFaces
functions accept uint8, single, and double image types- singles and doubles are expected to be in the range 0-1
- uint8s are expected to be in the range 0-255
- fixes a bug in
proposeRegions
for certain image sizes.
MTCNN Face Detection v1.0.1
- Adds support for Name Value pair optional arguments to
mtcnn.detectFaces
MTCNN Face Detection v1.0
Version 1.0 allows face detection and alignment using a pre-trained MTCNN detector.
To install download the .mltbx file and open using MATLAB.
Requirements:
- MATLAB R2019b or later
- Deep Learning Toolbox
- Computer Vision Toolbox
- Image Processing Toolbox