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30 search results found
Advancedeast
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1,134
AdvancedEAST is an algorithm used for Scene image text detect, which is primarily based on EAST, and the significant improvement was also made, which make long text predictions more accurate.https://github.com/huoyijie/raspberrypi-c
Image Text Localization Recognition
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928
A general list of resources to image text localization and recognition 场景文本位置感知与识别的论文资源与实现合集 シーンテキストの位置認識と識別のための論文リソースの要約
Awesome Ocr
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711
Morefusion
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201
MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion, CVPR 2020
Scene_generation
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145
A PyTorch implementation of the paper: Specifying Object Attributes and Relations in Interactive Scene Generation
Scene Text Recognition
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131
Scene text detection and recognition based on Extremal Region(ER)
Depthmap_dataset
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126
Python Blender script to generate random scene, depth map and corresponding Stereo images for machine learning.
Pgdrive
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92
PGDrive: an open-ended driving simulator with infinite scenes from procedural generation
Deep Rl Grasping
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81
Train deep reinforcement learning model for robotics grasping. Choose from different perception layers raw Depth, RGBD and autoencoder. Test the learned models in different scenes and object datasets
Volume Unity Plugin
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54
A Unity3D plugin for rendering Volume assets
Fxy
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53
Security-Scenes-Feature-Engineering-Toolkit, Continuous Integration.一款安全数据特征化工具
Selfie Anywhere
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48
Selfie Anywhere
Dcase2016 Baseline System Python
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44
DCASE 2016 Baseline system, python implementation
Pulp Fiction Arkit
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40
An experiment using Volume to reconstruct Pulp Fiction's dance scene in Augmented Reality
Mlgame
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35
A platform for applying machine learning algorithm to play pixel games
Foggysynscapes
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30
Semantic Understanding of Foggy Scenes with Purely Synthetic Data
Real Time Abnormal Events Detection And Tracking In Surveillance System
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30
The main abnormal behaviors that this project can detect are: Violence, covering camera, Choking, lying down, Running, Motion in restricted areas. It provides much flexibility by allowing users to choose the abnormal behaviors they want to be detected and keeps track of every abnormal event to be reviewed. We used three methods to detect abnormal behaviors: Motion influence map, Pattern recognition models, State event model. For multi-camera tracking, we combined a single camera tracking algorit
Paper 2017 Dcase
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27
The details that matter: Frequency resolution of spectrograms in acoustic scene classification - paper replication data
Planesnet
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22
Labeled training data for detection of aircraft in Planet satellite imagery
Video Recorder
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16
Unity ML-Agents Toolkit VideoRecorder Plugin
Mulmon
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14
PyTorch implementation of MulMON
Fabbits
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12
get interesting bits from videos!
Dcase2016 Baseline System Matlab
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12
Scene Recognition
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11
Scene recognition by combining local and global image descriptors
Attendar
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10
ARCore (Android) / desktop app which recognizes student faces and marks their class attendance
Car Drive
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10
cAr-drIve - reinforcement learning for simulated self-driving car
Surface Estimation And Image Relighting
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9
Illumination registration, surface estimation, and physically-based image relighting
Crowd Copter
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7
Crowd Copter aims to analyze the people motions in the input scene and classified them into different clusters each of them has a unique color.
Curriculum Reinforcement Learning
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7
Novel Reinforcement Learning method for tackling goal-oriented robotics tasks with obstacles.
Attenscriptnetpr
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6
This repository contains the codes and instructions to use the trained models for all the four datasets described in the paper : 'Script Identification in Natural Scene Image and Video Frame using Attention based Convolutional-LSTM Network'
Praxxis
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6
A task interface for Jupyter notebooks built on machine learning and big data
Scene_recognition
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5
An image recognition app/web for BU students
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