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Usage Instructions

The Idea Flow Mapping plugin measures the "friction" that occurs during developer experience to help developers run "Experience Reviews" with objective data. To use the plugin:

After installing, you'll need to configure Preferences > Idea Flow and configure the API url, and API key to connect to an ideaflow server. You can use the server at om-ideaflow.heroku.com or install a local server from https://github.com/openmastery/ideaflow

To get an API-Key for om-ideaflow.heroku.com, you'll need to get an API-key via email from the Open Mastery community. You can join for free at openmastery.org, or request an API-key by emailing [email protected].

After the server is configured, create a new task from the drop down, click the unpause button, and start recording. All data being sent to the server is first spooled to the /.ideaflow directory so you have full visibility of the data collected.

Project Setup Instructions

To setup the projects:

cd core ./gradlew idea cd ../intellij-plugin ./gradlew idea

Within Intellij:

Create a new empty project.

Import module core using the core.iml (hit the + sign to add a module then select the core.iml file) Set the project SDK to Java 1.6

Import module intellij-plugin using the intellij-plugin.iml Set the Module SDK to IDEA 14 Common Edition

If you do not have the common edition, you'll need to download and install it on your machine. Then from this dialog click "New > Intellij Platform SDK" and navigate to the ".app" file for the installation.

idea_overflow's Projects

2s-agcn icon 2s-agcn

Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19

caffe icon caffe

Caffe: a fast open framework for deep learning.

caffe_ocr icon caffe_ocr

主流ocr算法研究实验性的项目,目前实现了CNN+BLSTM+CTC架构

ccpd icon ccpd

[ECCV 2018] CCPD & PDRC: a diverse and well-annotated dataset for license plate detection and recognition

centernet icon centernet

Object detection, 3D detection, and pose estimation using center point detection:

chinese-ocr icon chinese-ocr

[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别

chinese_ocr icon chinese_ocr

CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras

craft-pytorch icon craft-pytorch

Official implementation of Character Region Awareness for Text Detection (CRAFT)

darknet icon darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

densebox icon densebox

Implemention of Baidu's DenseBox used for multi-task learning of object detection and landmark(key-point) localization 用PyTorch实现了百度的DenseBox并针对任意宽高比矩形(不仅限于方形)的目标检测做了优化,不仅可以输出关键点的热力图(heatmap)而且可以输出每个bbox对应关键点坐标

dr-gan icon dr-gan

DR-GAN Official Tensorflow Implementation

dr-gan-by-pytorch icon dr-gan-by-pytorch

An implement of Disentangled Representation Learning GAN for Pose-Invariant Face Recognition

dsdl-docs icon dsdl-docs

Data Set Description Language Specification (新一代人工智能数据集描述语言DSDL)

funit icon funit

Translate images to unseen domains in the test time with few example images.

hyperlpr icon hyperlpr

基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.

incubator-mxnet icon incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

isda-for-deep-networks icon isda-for-deep-networks

An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.

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