CAPSTONE PROJECT- MASKITOR, The Face-Mask Detection System
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Updated
May 3, 2021 - Jupyter Notebook
CAPSTONE PROJECT- MASKITOR, The Face-Mask Detection System
A naive Algorithm that uses People Detection and Convex Hull as subroutines to solve this problem: "Given an image of people standing randomly, how many people can be a part of some queue {Q}. A queue {Q} is basically a line(y = mx + c) that minimises a custom loss function. "
Computer Vision: Defect Detection | Summer 2022
This research work is mainly based on the proposed problem of IEEE VIP Cup where the main task was to detect and track vehicles at junction using a fish-eye camera.
Final project for APS360 (Applied Fundamentals of Machine Learning) Summer 2021 Team Repo Group 3 using object detection and YOLOv5x
[yolov5 v7.0][WIDER FACE][ECCV 2022]YOLO5Face: Why Reinventing a Face Detector
Using deep learning to identify cyclists risk factors in London.
Deep learning approaches in detecting 14 different abnormalities via Chest X-Ray images
TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.
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