using deep learning and opencv for car palte location
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Updated
Jul 14, 2021 - Jupyter Notebook
using deep learning and opencv for car palte location
This project demonstrates image segmentation using the Mask R-CNN model.
Build an algorithm that automatically detects potential pneumonia cases
Object Detection implementation with Mask R-CNN architecture.
A deep learning project utilizing Mask R-CNN for building instance segmentation, openings detection, and building type classification.
A PyTorch implementation of AffordanceNet
The project is about fence inspection for breach detection using drones autonomously
Training a model for Instance segmentation and object detection with MaskRCNN with TensorFlow on a custom selected dataset from the open image.
Animation of the 3D Ken Burns effect for still images based on stereo image input
Implementation of our IEEE AVSS 2018 paper "Person Retrieval in Surveillance Video using Height, Color, and Gender".
Person Retrieval in Video Surveillance using Semantic Description
Learn how to change background efficiently and easily by just using 3-4 lines of code using Python's Pixellib library that uses Deeplab's pre-trained Deep Learning model.
Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
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