hartmania's starred repositories
Multi-Camera-Live-Object-Tracking
Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.
tensorrt_demos
TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet
docker-cheat-sheet
Docker Cheat Sheet
Install-Packages-Jetson-ARM-Family
The objective is to give you clear instructions on how to install packages in ARM platform primarily in Jetson family.
tensorflow-yolov4-tflite
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
yolov4-jetson-azure-edge-solution
Here resides an end-to-end sample of using an NVIDIA Jetson platform as an Azure IoT Edge device with Live Video Analytics Edge and Azure Blob Storage. An open-source ML model is utilized to detect objects in an RSTP stream simulator. A Python web app is included for reviewing AI detections from Blob Storage.
YOLOv4_MOT_TensorRT
People detection, tracking, and counting. Deploy on NVIDIA Jetson nano with TensorRT.
tensorrt-yolov4
Run tensorrt yolov4 on Jetson devices
tensorflow-yolov4
YOLOv4 Implemented in Tensorflow 2.
tf_trt_models
TensorFlow models accelerated with NVIDIA TensorRT
awesome-mqtt
A curated list of MQTT related stuff. :sparkles:
jetson-containers
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
PTZ_Controller
controller for IP Camera
python-onvif-zeep
ONVIF Client Implementation in Python 2+3 (using https://github.com/mvantellingen/python-zeep instead of suds as SOAP client)
ESP-1ch-Gateway-v5.0--OLD
Version 5 of Single Channel LoRa Gateway
ESP32-Paxcounter
Wifi & BLE driven passenger flow metering with cheap ESP32 boards
PTSprinkler
Raspberry Pi host code to control the PTSprinkler board
Pan-Tilt-Mount
A stepper motor driven, 3D printed and Arduino controlled pan/tilt mount.
aws-iot-mqtt-to-servo
Control your raspberry pi/servo through AWS IOT's MQTT broker
Teachable-Camera
Object detection at the edge, with Google's Coral dev board