Awesome
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
> 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
Vehicle detection using MobilnetSSD_V2
> cd $caffe_root/
> demo.cmd or demov2_custom.cmd