Image Semantic Segmentation with OpenVINO 2020.R2

The One Hundred Layers Tiramisu:Fully Convolutional DenseNets for Semantic Segmentation


Github (OpenVINO app code) to accelerate inference of FC-DenseNet-103 on Intel HW. Best performance can be seen on Cascade Lake Xeon CPU

OpenVINO Application code
OpenVINO FC-DenseNet-103 IR model files (FP32/FP16): IR Files

Note: IR files are generated from pre-trained TF FC-DenseNet-103 model file (with accuracy ~.60)

If you want to re-train: You can use Keras train.py

Age and Gender Classification using OpenVINO 2020.R1

OpenVINO Ready To Deploy AI Vision Module