Quad stereo tensorflow eclipse

ImageJ plugin

• Install Eclipse
• Clone and Import imagej-elphel

NOTE: if project is updated/pulled outside Eclipse - might need a manual refresh

• TF version is pulled from pom.xml
• Trained TF model for EO sensors is auto-downloaded - trained_model_v1.0.zip
• Get some image samples, provide paths
• Before running the plugin (Eyesis_Correction), copy imagej options to /home/user/.imagejs/Eyesis_Correction.xml:

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE properties SYSTEM "http://java.sun.com/dtd/properties.dtd">
<properties>
    <comment>last updated Thu Sep 08 14:09:47 MDT 2042</comment>
    <entry key="ADVANCED_MODE">True</entry>
    <entry key="DCT_MODE">True</entry>
    <entry key="MODE_3D">False</entry>
    <entry key="GPU_MODE">True</entry>
    <entry key="LWIR_MODE">True</entry>
</properties>

• Updaed pom.xml to TF 1.15 - package exists
• Install cuDNN all 3 packages - runtime, dev and docs. Used docs to verify installation - built mnistCUDNN:

https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html