Commit a817f0c0 authored by Andrey Filippov's avatar Andrey Filippov
Browse files

added Eyesis_Correction.xml, updated IJ version, typo fix

parent 26e9b649

Eyesis_Correction.xml

0 → 100644
+11 −0
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<?xml version="1.0" encoding="UTF-8"?>

<!DOCTYPE properties SYSTEM "http://java.sun.com/dtd/properties.dtd">

<!-- Copy this file to ~/.imagej  . If that directory does not exist it will be created after first launch. This will enable all start buttons in menu -->

<properties>

<comment>last updated Thu Sep 08 14:09:47 MDT 2016</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>

pom.xml

+3 −2
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@@ -38,7 +38,8 @@ 
            <dependency>

            <dependency>

                <groupId>net.imagej</groupId>

                <groupId>net.imagej</groupId>

                <artifactId>ij</artifactId>

                <artifactId>ij</artifactId>

                <version>1.52e</version>

<!--                <version>1.52e</version> -->

                <version>1.53j</version>

            </dependency>

            </dependency>

            <dependency>

            <dependency>

                <groupId>org.jcuda</groupId>

                <groupId>org.jcuda</groupId>
@@ -264,7 +265,7 @@ 
		</repository>

		</repository>

		<repository>

		<repository>

			<id>elphel.imagej-elphel</id>

			<id>elphel.imagej-elphel</id>

			<url>https://github.com/Elphel/imagej-elphel</url>

			<url>https://git.elphel.com/Elphel/imagej-elphel</url>

		</repository>

		</repository>

		<repository>

		<repository>

			<id>other</id>

			<id>other</id>

src/main/java/com/elphel/imagej/tileprocessor/ImageDtt.java

+1 −1
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@@ -2499,7 +2499,7 @@ public class ImageDtt extends ImageDttCPU { 
								}

								}

							}

							}

							// get CM disparity/strength

							// get CM disparity/strength

							double [] disp_str = {0.0, 0.0}; // diaprity = 0 will be initial approximation for LMA if no averaging

							double [] disp_str = {0.0, 0.0}; // dispaprity = 0 will be initial approximation for LMA if no averaging

							if (combine_corrs) {

							if (combine_corrs) {

								double [] corr_combo_tile = correlation2d.accumulateInit(); // combine all available pairs

								double [] corr_combo_tile = correlation2d.accumulateInit(); // combine all available pairs

								double sumw = 0.0;

								double sumw = 0.0;