This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
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Updated
May 20, 2024 - C++
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
ncnn example: mask detection: anticonv face detection: retinaface&&mtcnn&¢erface, track: iou tracking, landmark: zqcnn, recognize: mobilefacenet classifier: mobilenet object detecter: mobilenetssd
alibaba MNN, mobilenet classifier, centerface detecter, ultraface detecter, pfld landmarker and zqlandmarker, mobilefacenet
Scene text detection and recognition based on Extremal Region(ER)
Image Segmentation using Texture and Color features in C++
R-GBD Person Tracking is a ROS framework for detecting and tracking people from a mobile robot.
🎒 Bag of Visual words (BoW) approach for object classification and detection in images together with SIFT feature extractor and SVM classifier.
Nodejs binding for fasttext representation and classification.
SpeakerVoiceIdentifier can recognize the voice of a speaker by learning.
MicrOscopic VisuAlization of BLood cElls for the Detection of Malaria and CD4+
Decision Tree Classifier and Boosted Random Forest
Haar Cascade Classifier implementation and tools
A simple word classifier based on minimum suffix match
Feedforward backpropagation neural network classifier for MNIST digit datatset
randomjs converted to U++ conventions
Console application project which classifies animal species.
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