TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet

Multi-object trackers in Python

Object detection with ssd_mobilenet and tiny-yolo (Add: YOLOv3, tflite)

ROS 2 packages for PyTorch and TensorRT for real-time classification and object detection on Jetson Platforms

Simpler app for tensorflow object detection API

MobileNetV3 SSD的简洁版本

A face mask detection using ssd with simplified Mobilenet and RFB or Pelee in Tensorflow 2.1. Training on your own dataset. Can be converted to kmodel and run on the edge device of k210

An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.

基于PaddlePaddle实现的SSD，包括MobileNetSSD，MobileNetV2SSD，VGGSSD，ResNetSSD

Object detection on Jetson Nano, Raspberry Pi and Laptop

SSD: Single Shot MultiBox Detector | a PyTorch Model for Object Detection | VOC , COCO | Custom Object Detection

Social Distancing and Face Mask Detection using TensorFlow. Install all required Libraries and GPU drivers as well. Refer to README.md or REPORT for know to installation requirement

Real time object detection with OpenCV and deep learning models

Dataset, necessary Scripts and trained SSD Model for detecting Hands in Realtime.

Plug and Play Real-Time Object Detection App with Tensorflow and OpenCV. Run on Jetson TX2

Cone detector trained using the Tensorflow Object Detection API

A collection of deep learning models (PyTorch implemtation)

Tensorflow Object Detection API on `Where is Syd?` dataset

This project involves automating the attendance system of RT Knits using Face Recognition. Due to Covid-19, people are obliged to wear masks hence, the system is successful in recognizing people despite wearing masks.

Experimental Python implementation of OpenVINO Inference Engine (very slow, limited functionality). All codes are written in Python. Easy to read and modify.