Chris Norman's repositories
rtspcapture
An RTSP frame capture tool
GooglePWScript
A Script using the vbscript, autoIT com component, & chrome to change your Google password 99 times.
MobileNet-SSD
MobileNet-SSD(MobileNetSSD) + Neural Compute Stick(NCS) Faster than YoloV2 + Explosion speed by RaspberryPi · Multiple moving object detection with high accuracy.
MobileNet-SSD-RealSense
[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering
csharp-web-api-validation
Secure your C# / ASP.NET WEB API app by validating incoming Twilio requests
detect-cars-mobilenetsv2-raspberry
This detect and crop cars in input image using mobilenetsv2, also works great on raspberry.
kalman_filter_multi_object_tracking
Multiple object tracking using Kalman Filter and Hungarian Algorithm - OpenCV
keras-yolo2
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
leadrmgr-aspnet-core
leadrmgr backend aspnet core
motioneyeos
A Video Surveillance OS For Single-board Computers
Multi-Camera-Vehicle-Tracking-and-Reidentification
This repository contains our source code of Track 3 in the NVIDIA AI City Challenge Workshop at CVPR 2018. Please find the full source code of both Track 1 and Track 3 here ->
openvino-realtime-vehicle-detection
Implementation of various models for vehicle detection
Posh-ACME.Deploy
Collection of certificate deployment functions intended for use with Posh-ACME
RTSP_SnapshotMaker
An RTSP Snapshot maker
Speed_tracking
Multiple Cars Detection and Speed Tracking
VSIXTracker
Solution Explorer button to toggle tracking with open document
AgileCoderFork
Dynamic Collaborative Agents for Software Development
claude-engineer
Claude Engineer is an interactive command-line interface (CLI) that leverages the power of Anthropic's Claude-3.5-Sonnet model to assist with software development tasks. This tool combines the capabilities of a large language model with practical file system operations and web search functionality.
doc-comments-ai
LLM-powered code documentation generation
RepoPilotFork
Repo-Level Coding Assistant that Can Understand Your Whole Codebase