Pinned Repositories
3D-Machine-Learning
A resource repository for 3D machine learning
3D-Point-Clouds
🔥3D点云目标检测&语义分割(深度学习)-SOTA方法,代码,论文,数据集等
3D-PointCloud
Papers and Datasets about Point Cloud.
ALPR
Automatic License Plate Recognition
alpr-unconstrained
License Plate Detection and Recognition in Unconstrained Scenarios
ANPR-Pakistan-Plate
Automatic Number Plate Recognition System on Pakistan Plate.
Augmentor
Image augmentation library in Python for machine learning.
Awesome-CVPR2021-CVPR2020-Low-Level-Vision
A Collection of Papers and Codes for CVPR2021/CVPR2020 Low Level Vision
awesome-deep-hdr
A collection of deep learning based methods for HDR image synthesis
awesome-deep-vision
A curated list of deep learning resources for computer vision
AqsaHassan's Repositories
AqsaHassan/Augmentor
Image augmentation library in Python for machine learning.
AqsaHassan/awesome-image-classification
A curated list of deep learning image classification papers and codes
AqsaHassan/awesome-mlss
List of summer schools in machine learning + related fields across the globe
AqsaHassan/car-color-classifier-yolo3-python
Car color classification with YOLOv3 object detector - Python example
AqsaHassan/CEH
Notes for CEH v10 exam (source code)
AqsaHassan/CEHv10-Notes
:closed_book: Both personal and public notes for EC-Council's CEHv10 312-50, because its thousands of pages/slides of boredom, and a braindump to many
AqsaHassan/ciefunctions
Python module, GUI, and web app for computing the CIE TC1-97 colorimetric functions
AqsaHassan/Classification-of-Astronomical-Objects
This project's goal is to classify sky objects such as star, galaxy, and quasar via sdss data.
AqsaHassan/color-blind-simulator
Need a quick way to make sure your design/diagram/figure is color blind-friendly? Use this simulator to check out if your colors will retain the same effect for different kinds of vision. Conveniently download transformed gallery for future reference.
AqsaHassan/Colored-NLmeans-for-Infrared-Mixed-Noise-Removal
文章代码：李方舟, 赵耀宏, 向伟, 刘海峥. 基于改进非局部均值的红外图像混合噪声去除方法[J]. 红外与激光工程, 2019, 48(S1): 163-173.
AqsaHassan/cutout-random-erasing
Cutout / Random Erasing implementation, especially for ImageDataGenerator in Keras
AqsaHassan/deeplearning-models
A collection of various deep learning architectures, models, and tips
AqsaHassan/dlaicourse
Notebooks for learning deep learning
AqsaHassan/DLWP-CS
Deep learning models for global weather prediction on a cubed sphere
AqsaHassan/Flask-Uploadfiles
Upload files using Flask
AqsaHassan/groupsc
Code for the paper: Fully Trainable and Interpretable Non-Local Sparse Models for Image Restoration (ECCV 2020)
AqsaHassan/hdr-imaging
HDR Imaging with Local and Global Tonemapping
AqsaHassan/honours_project
Deep neural networks for classification of multispectral images.
AqsaHassan/ImageEnhancement
Various models for handling underexposure, overexposure, super-resolution, shadow removal, etc.
AqsaHassan/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
AqsaHassan/MatRaw
Read and Process Camera Raw Data with MATLAB
AqsaHassan/PointGroup
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
AqsaHassan/PracticalSessions2020
Repository for tutorial sessions at EEML2020
AqsaHassan/py
Repository to store sample python programs for python learning
AqsaHassan/SalesmanTrackingApp
Final Year Diploma Project : Salesman Tracking App
AqsaHassan/sdss-analysis-and-classification
Sloan Digital Sky Survey exploratory analysis, classification model selection and parameter optimization using genetic algorithms.
AqsaHassan/Skin-Lesion-Recognition.Pytorch
Rank3 Code for ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection, Task 3
AqsaHassan/Skin-Lesions-Detection-Deep-learning
Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification on HAM10000 dataset largescale data.
AqsaHassan/snapchat-filters-opencv
Snapchat-alike filters app using opencv
AqsaHassan/tesseract-OCR-iOS-demo
This prototype is to recognize text inside the image and for that it uses Tesseract OCR. The underlying Tesseract engine will process the picture and return anything that it believes is text.