mbeyeler/opencv-machine-learning
quality grade D, 44 out of 100M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
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Detection, segmentation, tracking, OCR models, 3D reconstruction and classical vision.
Signals: computer-vision, object-detection, image-segmentation, yolo, opencv, image-classification, pose-estimation, object-tracking
1,474 results
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
Tools to create pixel-wise object masks, bounding box labels (2D and 3D) and 3D object model (PLY triangle mesh) for object sequences filmed with an RGB-D camera. This project prepares training and testing data for various deep learning projects such as 6D object pose estimation projects singleshotpose, as well as object detection and instance segmentation projects.
This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaofan Chen* (Duke University), Oscar Li* (Duke University), Chaofan Tao (Duke University), Alina Jade Barnett (Duke University), Jonathan Su (MIT Lincoln Laboratory), and Cynthia Rudin (Duke University) (* denotes equal contribution).
Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original Caffe architecture which users deploy their applications seamlessly.
This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.
Unofficial implementation of "TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images"
[IJCV 2026] Project Page for "Deep Learning-Based Object Pose Estimation: A Comprehensive Survey".
Using of the WiFi signal in combination with deep learning architectures, commonly used in computer vision, to estimate dense human pose correspondence.
A repository of update in molecular dynamics field by recent progress in machine learning and deep learning.
gReLU is a python library to train, interpret, and apply deep learning models to DNA sequences.
A WeChat MiniProgram Image AR using computer vision. No OpenCV, No Deep Learning. Only JavaScript Implementation.
TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design
DeepCalib: A Deep Learning Approach for Automatic Intrinsic Calibration of Wide Field-of-View Cameras
Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies
A deep learning based algorithm to detect rotated object, for example, objects in remote sensing images
Source code of paper "[NIPS2017] Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model"
A list of resources about deep learning solutions on 3D shape processing
COVID-19 Detector from x-rays using Computer Vision and Deep Learning
A collection of deep learning based methods for HDR image synthesis
A Unified Implementation of Several Baseline Deep Learning Models for Automatic Modulation Recognition
A PyTorch implementation of Xception: Deep Learning with Depthwise Separable Convolutions
Salient Object Detection in the Deep Learning Era: An In-Depth Survey
A collection of deep learning frameworks ported to Keras for face analysis.
FaceQnet: Quality Assessment for Face Recognition based on Deep Learning
24,524 repositories in the index in total.