Name: Mahathi Bhargavapuri
Type: User
Company: ZMotion Autonomous Systems
Bio: Work extensively on systems and control. Practical implementations of controllers on aerial vehicles to be really specific.
Location: Bengaluru, India
Blog: mahathi1992.github.io
Mahathi Bhargavapuri's Projects
SLAM is mainly divided into two parts: the front end and the back end. The front end is the visual odometer (VO), which roughly estimates the motion of the camera based on the information of adjacent images and provides a good initial value for the back end.The implementation methods of VO can be divided into two categories according to whether features are extracted or not: feature point-based methods, and direct methods without feature points. VO based on feature points is stable and insensitive to illumination and dynamic objects
Program to extract value from YOLO format text file and draw a bounding box to the images
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite