How to train and verify mobilenet by using voc pascal data in caffe ssd?
How to train and verify mobilenet by using voc pascal data in caffe ssd?
git clone --recursive https://github.com/avBuffer/MobilenetSSD_caffe.git
cd MobilenetSSD_caffe
Train and test MobilenetSSD models, in folder of mobilenet_caffe_train
cd MobilenetSSD_caffe/mobilenet_caffe_train
./tool/train.sh
cd MobilenetSSD_caffe/mobilenet_caffe_train
./tool/merge_bn.py
cd MobilenetSSD_caffe/mobilenet_caffe_train
./tool/demo.py
Detect and classify objects by Mobilenet SSD model in PC in the folder of classify_caffe, you can do next steps
cd MobilenetSSD_caffe/classify_caffe
./build.sh
cd MobilenetSSD_caffe/classify_caffe
./classify.sh
Detect and classify objects by Mobilenet SSD model in Android in the folder of MobilenetSSD_APP_demo, you can do next steps
cd MobilenetSSD_caffe/classify_caffe/model/mobile/
adb shell mkdir caffe
adb shell mkdir caffe/mobilenet
adb push MobileNetSSD_deploy.caffemodel sdcard/caffe/mobilenet
adb push MobileNetSSD_deploy.prototxt sdcard/caffe/mobilenet
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Any comments or issues are also welcomed.Thanks!