Identify the person (speaker) in video, where this person is performing an art or speaking as a motivational speaker
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Updated
Jul 30, 2019 - Python
Identify the person (speaker) in video, where this person is performing an art or speaking as a motivational speaker
This repository focuses on finding a specified object in a given image.
Object Detection using YOLO and OpenCV.
This project is a part of my MSc degree in Department of Computing, Imperial College London. This project is done under the efficient collaboration with my classmates Tomasz Bartkowiak, Danlin Peng, Yini Fang, Suampa Ketpreechasawat, and Nattapat Chaimanowong. We appreciate much all sincere and helpful advices received from co-supervisors, Anand…
This repository demonstrates how to use YOLOv5 for object detection on a custom dataset. It includes scripts and instructions for preparing the dataset, training the model, and evaluating its performance.
A program in Python using OpenCV to detect objects in a real-time video feed and classify them.
This code identifies known employees and write their arrival time in the database
Neural architecture search for object detectors using non dominated sorting genetic algorithm and surrogate optimization
Object detection using tiny-YOLOv3 on a Raspberry Pi with the help of the Intel OpenVINO library and an Intel Neural Compute Stick 2 as featured in my Medium article "Edge AI - Computer vision inference on the edge".
Real Time Object Detection
A simple PyTorch implementation of the SSD300 network.
Implementation of table segmentation with U-net
PyTorch Implementation of SSD for Chess Pieces Object Detection
This is a small Raspberry-Pi enabled Object detection and alarming system.
Fashion 'N' Dealz is a fashion suggestion system that identifies user's dress patterns and gives suggestions according to the identified patterns.
Using Faster R-CNN to detect small objects in drone data.
I transfer the backend of yolov3 into Mobilenetv1,VGG16,ResNet101 and ResNeXt101
👁️ OmniView is an advanced video viewing and recording application that offers a range of features including real-time object detection and screenshot capturing. This project uses the OpenCV library for camera connection and video processing, ensuring smooth and high-quality video streams
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