NSL3130AA, OpenCV, Point Cloud, Deep Learning, YOLOv3, SSD-MobilenetV2
-
Updated
Sep 20, 2024
NSL3130AA, OpenCV, Point Cloud, Deep Learning, YOLOv3, SSD-MobilenetV2
NSL3130AA, NSL1110AA, OpenCV, PCL, Deep Learning, SSD-MobilenetV2
This project outlines the development and implementation of an automatic cat feeder, leveraging an artificial vision system. The system operates in two modes: automatic and manual, aiming to enhance pet feeding using Raspberry Pi and Arduino.
Palomade Machine Learning Model
A Bangladeshi Road Sign Detection & Recognition System Based on Template matching & Convolutional Neural Network - A Prototype built from my Thesis paper.
A face mask detection system using Tensorflow/Keras and OpenCV, for the "<19 Szabadfogású Számítógép" competition in 2020.
This project is used to detect the license plate of the vehicle in real time, trained using Car Detection Licence Plate dataset available on Kaggle. Used yolov4 because it performs much better than traditional cv techniques and then used EasyOCR to extract text from the number plate. Please see readme for details.
Training a face mask detector using TensorFlow2 object detection API.
Providing solutions to modern day tech problems, one image at a time. This product identifies if the image uploaded is acceptable in important documents, like PAN card and Voter IDs
Shoe detection with Tensorfllow js
Single shot object detection in PyTorch
Add a description, image, and links to the ssd-mobilenetv2 topic page so that developers can more easily learn about it.
To associate your repository with the ssd-mobilenetv2 topic, visit your repo's landing page and select "manage topics."