tomo123-123

CarND-LaneLines-P1

Lane Finding Project for Self-Driving Car ND

deepstream-occupancy-analytics

This is a sample application for counting people entering/leaving in a building using NVIDIA Deepstream SDK, Transfer Learning Toolkit (TLT), and pre-trained models. This application can be used to build real-time occupancy analytics applications for smart buildings, hospitals, retail, etc. The application is based on deepstream-test5 sample application.

distance-assistant

Pedestrian monitor that provides visual feedback to help ensure proper social distancing guidelines are being observed

motpy

Library for tracking-by-detection multi object tracking implemented in python

pyeiq

A Python Demo Framework for eIQ on i.MX Processors

ultra96_yolov3

tomo123-123/ultra96_yolov3

tomo123-123/CarND-LaneLines-P1

Lane Finding Project for Self-Driving Car ND

tomo123-123/deepstream-occupancy-analytics

This is a sample application for counting people entering/leaving in a building using NVIDIA Deepstream SDK, Transfer Learning Toolkit (TLT), and pre-trained models. This application can be used to build real-time occupancy analytics applications for smart buildings, hospitals, retail, etc. The application is based on deepstream-test5 sample application.

tomo123-123/distance-assistant

Pedestrian monitor that provides visual feedback to help ensure proper social distancing guidelines are being observed

tomo123-123/motpy

Library for tracking-by-detection multi object tracking implemented in python

tomo123-123/pyeiq

A Python Demo Framework for eIQ on i.MX Processors