Pedestrian detection using Mobilenet SSD and tracking
Trained using Caffe Mobilenet SSD, details(https://github.com/zlingkang/mobilenet_ssd_pedestrian_detection)
Then model transfered to ncnn (a deeplearning framework optimized for mobile platforms)
An optical-flow and Kalman Filter based multiple object tracker, more details: https://github.com/zlingkang/multi_object_tracker
- Compile ncnn
go to 3rd_party/ncnn
(When using with ARM platforms such as Raspberry Pi, modify ncnn/CMakeLists.txt: addadd_definitions(-mfpu=neon)
, modify ncnn/src/CMakeLists.txt: modify line 40to46 toif(TRUE)
)
mkdir build
cd build
cmake ..
make
- Compile all the rest
in root directory
mkdir build
cd build
cmake ..
make
- Run
go to build/./main