bushra11812's repositories
SSLD-face_recognition
Robust Single Sample Face Recognition by Sparsity-Driven Sub-Dictionary Learning Using Deep Features
CBIR
a CBIR system
CBIR-using-orb-hamming
Untuk Tugas Akhir Mata Kuliah IR
Content-Based-Image-Retrieval
Content Based Image Retrieval on The Oxford Dataset (5k)
content_based_image_retrieval_portfolio_example
An example of building a CBIR (Content Based Image Retrieval) system using Tensorflow2
COVID19-Face-Mask-Detection-using-deep-learning
The entire workflow of developing deep learning model for detecting face mask.
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
DepthEstimation-MaskPrediction
Convolutional Neural network for mask prediction and depth estimation.
Face-Mask-Detection
In this, I am attaching my code for building a CNN model to detect if a person is wearing face mask or not using the webcam of their PC.
Face-Mask-Detection-1
Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
Face-Mask-Detection-Tf2.x
An approach to detecting face masks in crowded places built using RetinaNet Face for face mask detection and Xception network for classification.
Face-Mask-Detector
Deep Learning Model to detect whether a person is wearing a face mask or not
Face_Mask_Detection
Deep Learning Project
facemask_detection
Detection masks on faces.
FaceMaskDetection
To further help combat the corona virus (COVID-19), this repository can be used for real-time face mask detection using webcam with an impressive accuracy. For convenience, the source codes are shared both in MATLAB and Python.
FCOS_DET_MASK
Use FCOS model to Check whether people wear masks
GANs
Repo contains implementation of DCGan, CGan, ACGan, and InfoGan for comparative study of different data generating models.
GANsPlayground
This is a repository for experimenting around with GANs at different levels.
GenerativeDeepLearning
Generative Deep Learning Study with a Book "GenerativeDeepLeaning" by David Foster
image-retrieval-system-CBIR
基于内容的图像检索系统 / content-based image retrieval system
Image-Retrieval-using-SIFT-or-ORB
Using SIFT or ORB keypoints from images, retrieve the corresponding images based on the reference image
Image-Search-using-Parallel-Computing
CRISPR is a Fast Image Search application that retrieves similar images from a database based on the query image by using Parallel computing paradigm.
LDA
LDA
Mask-Detection
Mask Detection deep learning model for python
PySIFT
Python SIFT (Scale Invariant Feature Transform) implementation
PythonSIFT
A clean and concise Python implementation of SIFT (Scale-Invariant Feature Transform)
SIFTImageSimilarity
Interactive code for image similarity using SIFT algorithm
stylegan2encoder
StyleGAN2 - Official TensorFlow Implementation
U-2-Net
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
UNO-Card-Recognition-and-Detection-using-CBIR
Two sets of data were collected for this project. One set is the training images [fig.1] used to develop the database from which the query image can be matched to. The other set is the images [fig.2] used to test the implementation. In this document, the first set is referred to as training or template images and the second set is referred to as target or test images.Both sets of images were collected with a Pixel 3 camera using the standard settings. In order to get a consistent performance, dark backgrounds were used in all of the images to ease in the card detection process. For the training images, 54 pictures were taken, one for each of the 54 different cards For this project, two approaches to detecting and identifying playing cards were explored. The first method uses feature detection with SIFT to find keypoints and descriptors and flann’s algorithm to show the matches between the key points in the target and the training images. The second approach uses orb algorithm to find keypoints and descriptors and brute force algorithm to show the matches.