MobileNet(V2)-SSD Caffe

**This is an experimental, linux version from my git MobileNetSSD

Running Caffe with MobilenetSSD_V2

> cd $caffe_root/
> sh demo.sh

Running Caffe with MobilenetYOLO_V2

> cd $caffe_root/
> sh demo_yolo.sh

MobilenetYOLO_V2 Result

Python Usage

> cd $caffe_root
> python examples\ssd\test_ssd.py data\VOC0712\000166.jpg models\MobileNet\MobileNetSSD_deploy.prototxt models\MobileNet\MobileNetSSD_deploy.caffemodel

If load success , you can see the image window like this

Trainning Prepare

Download lmdb

Unzip into $caffe_root/

Please check the path exist "$caffe_root\examples\VOC0712\VOC0712_trainval_lmdb"

Trainning MobilnetSSD_V2

> cd $caffe_root/
> sh train.sh

Trainning MobilnetYOLO_V2

Model Netscope

> cd $caffe_root/
> sh train_yolo.sh

Trainning own dataset and deploy MobilentSSD_V1

follow this project step

Video Demo

> cd $caffe_root/
> sh demo_video.sh

MobilnetSSD

MobilnetSSD_V2

Vehicle deploy model

CLASS NAME

char* CLASSES2[6] = { "__background__","bicycle", "car", "motorbike", "person","cones" };

Model and Weights MobilnetSSD_V1

weights

model

Vehicle detection using MobilnetSSD_V2

> cd $caffe_root/
> demo.cmd or demov2_custom.cmd 

Demo Video MobilnetSSD_V1

Demo Video MobilnetSSD_V2

See also

Labeling tool with MobileNet-SSD

AutoLabelImg