object_detection_tracking_project

Course: ITEC 5920

root
- README.md
- SFA3D
  - implementation of "super fast accurate 3D object detection/tracking on point cloud data"
- mobile app
  - implementation of yolo object detection in flutter for android device realtime object detection
- Our training models
  - our code for model training including some knowned models like VGG16, light VGG, MobileNet
- Python bin to pcd
  - python implementation of converting .bin files to .pcd files for kitti dataset
- results
  - output results for mobile application, SFA3D and state of the art MOT algorithms
- state of the art MOT
  - state of the art mulitple object tracking method implementation
- YOLO/ HOG+SVM
  - implementation of sliding window car detection using HOG+SVM
  - implementation of YOLO algorithm

Name		Name	Last commit message	Last commit date
Latest commit History 15 Commits
SFA3D		SFA3D
YOLO-HOGSVM		YOLO-HOGSVM
mobile app/main		mobile app/main
our training models		our training models
python bin to pcd		python bin to pcd
results		results
state of the art MOT		state of the art MOT
README.md		README.md