Particle filters or Sequential Monte Carlo (SMC) methods are a set of genetic, Monte Carlo algorithms used to solve filtering problems arising in signal processing and Bayesian statistical inferenc…

Attitude Determination and Control System Simulation using Different Control Algorithms (LQR, Sliding Mode Controller, Integrator Backstepping Controller)

adaptive fuzzy sliding mode control for robot manipulator

created a smc(sliding mode control) controller for a motor (for smc learning)

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Fusing together data in a homogeneous sensor network using a Kalman filter

This project uses RGB and Depth images as input into two different convolutional network of same architecture (namely VGGNet, RESNet, AlexNet) and fuses them

Deep learning based fire detection system using multifeature fusion where if the fire exists anywhere in the surrounding it will immediatly create a buzzer alarm and the mail with the text message …

fire-smoke-detect-yolov4-yolov5 and fire-smoke-detection-dataset 火灾检测，烟雾检测

This project detects fire from images. It uses Convolutional Neural Network and predefined models to extract features from images.

基于视频的烟火检测

A fire detection script that uses image processing.

📖 OpenCV-Python image processing tutorial for beginners

Colorspace thresholding to detect fire in videos/images

Detects or tries to detect flame is the given scene

UFS-Net: Unified Flame and Smoke detection method for early detection of fire in video-surveillance applications using CNNs

Let's find pandas using opencv, training a cascading classifier.

fire detection using HAAR cascade classifier

Flame and smoke detection using opencv and flame sensor

fire detection for recognition of colors and shape of flame, using opencv in python

分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.

科技爱好者周刊，每周五发布

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