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malmo icon malmo

Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment. --- For installation instructions, scroll down to *Getting Started* below, or visit the project page for more information:

mangatextdetection icon mangatextdetection

Experiments in text localization and detection in raw manga scans. Mostly using OpenCV python API.

map icon map

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

mapnik icon mapnik

Mapnik is an open source toolkit for developing mapping applications

markdown-here icon markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

mask_rcnn icon mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

maskrcnn-benchmark icon maskrcnn-benchmark

Fast, modular reference implementation of Semantic Segmentation and Object Detection algorithms in PyTorch.

masktextspotter.caffe2 icon masktextspotter.caffe2

The code of "Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes"

match icon match

:crystal_ball: Scalable reverse image search built on Kubernetes and Elasticsearch

mathai icon mathai

一个拍照做题程序。输入一张包含数学计算题的图片,输出识别出的数学计算式以及计算结果。This is a mathematic expression recognition project.

mathfinder icon mathfinder

Various document layout analysis techniques are employed in order to enhance the accuracy of optical character recognition (OCR) in document images. Type-specific document layout analysis involves localizing and segmenting specific zones in an image so that they may be recognized by specialized OCR modules. Zones of interest include titles, headers/footers, paragraphs, images, mathematical expressions, chemical equations, musical notations, tables, circuit diagrams, among others. False positive/negative detections, oversegmentations, and undersegmentations made during the detection and segmentation stage will confuse a specialized OCR system and thus may result in garbled, incoherent output. In this work a mathematical expression detection and segmentation (MEDS) module is implemented and then thoroughly evaluated. The module utilizes the open source OCR software, Tesseract and the machine learning library, DLib.

mathgeolib icon mathgeolib

A C++ library for linear algebra and geometry manipulation for computer graphics.

matplotlib-cpp icon matplotlib-cpp

Extremely simple yet powerful header-only C++ plotting library built on the popular matplotlib

mcg icon mcg

Multiscale Combinatorial Grouping - Object Proposals and Segmentation

mcnssd icon mcnssd

A matconvnet implementation of the Single Shot Detector

megadepth icon megadepth

Code of single-view depth prediction algorithm on Internet Photos described in "MegaDepth: Learning Single-View Depth Prediction from Internet Photos, Z. Li and N. Snavely, CVPR 2018".

megreader icon megreader

A research project for text detection and recognition using PyTorch 1.2.

memnet icon memnet

Code for our ICCV'17 paper "MemNet: A Persistent Memory Network for Image Restoration" (SPOTLIGHT Presentation)

michi icon michi

Minimalistic Go MCTS Engine

michi-c icon michi-c

Michi-c --- Michi (Minimalistic Go MCTS Engine) recoded in C

miles-deep icon miles-deep

Deep Learning Porn Video Classifier/Editor with Caffe

minerva icon minerva

Minerva: a fast and flexible tool for deep learning on multi-GPU. It provides ndarray programming interface, just like Numpy. Python bindings and C++ bindings are both available. The resulting code can be run on CPU or GPU. Multi-GPU support is very easy.

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