ViSUS Convert - Revision history

Admin: /* Compression */

2019-09-26T23:43:02Z

‎Compression

2019-09-26T23:42:31Z

‎Compression

2019-07-02T14:42:45Z

‎Compression

2019-07-02T14:42:30Z

‎Convert a stack of images

2019-07-02T14:42:13Z

‎Convert from a RAW dataset

2018-06-11T19:53:21Z

‎Conversion from IDX to image

2018-06-11T19:53:10Z

‎Tiled dataset

2018-06-11T19:52:49Z

‎Get information

2018-05-29T22:42:28Z

‎Introduction

2018-05-29T22:27:02Z

‎Create the IDX dataset

@@ Line 145: / Line 145: @@
 To decompress, use:
-./visus import neon.idx --box "0 999 0 999" export neon-out.tif
+<syntaxhighlight lang="bash">
 Also, RGB fields can be compressed with JPG instead of ZFP, with the following parameters:

@@ Line 122: / Line 122: @@
 == Compression ==
-You can compress your dataset (already created) using zip or lz4, as following
+You can compress your dataset (already created) using zip or lz4, as following:
 <syntaxhighlight lang="bash">
 $CONVERT compress-dataset your_dataset.idx lz4
 </syntaxhighlight>

@@ Line 124: / Line 124: @@
 You can compress your dataset (already created) using zip or lz4, as following
 <syntaxhighlight lang="bash">
-$CONVERT --compress-dataset your_dataset.idx lz4
+$CONVERT compress-dataset your_dataset.idx lz4
 </syntaxhighlight>

@@ Line 87: / Line 87: @@
 DTYPE="uint8[1]"
-$CONVERT --create "$IDXFILE" --box "$BOX" --fields "data $DTYPE"
+$CONVERT create "$IDXFILE" --box "$BOX" --fields "data $DTYPE"
 # example of conversion of png slices to IDX
@@ Line 93: / Line 93: @@
 do
    $CONVERT \
-      --import "G:/visus_dataset/2kbit1/png/$sliceid.png" \
+      import "G:/visus_dataset/2kbit1/png/$sliceid.png" \
-      --export "$IDXFILE" --box "0 2047 0 2047 $sliceid $sliceid"
+      export "$IDXFILE" --box "0 2047 0 2047 $sliceid $sliceid"
 done
 </syntaxhighlight>

@@ Line 56: / Line 56: @@
 With the following example we convert an array of ''int16'' to IDX:
 <syntaxhighlight lang="bash">
-  $CONVERT --import data.raw --dtype 1*int16 --dims "995 501 401" --export data.idx --dims "995 501 401" --field my_field --time 0 --box "0 994 0 500 0 400"
+  $CONVERT import data.raw --dtype 1*int16 --dims "995 501 401" export data.idx --dims "995 501 401" --field my_field --time 0 --box "0 994 0 500 0 400"
 </syntaxhighlight>
 Or simply:

@@ Line 113: / Line 113: @@
 Conversion from IDX to image formats can be performed as well using the same technique, as following:
 <syntaxhighlight lang="bash">
- $CONVERT import temp/test_formats.idx --field scalar --box "  0 255     0 255"  export temp/test_formats_scalar.tga
+$CONVERT import temp/test_formats.idx --field scalar --box "  0 255     0 255"  export temp/test_formats_scalar.tga
- $CONVERT import temp/test_formats.idx --field scalar --box "256 511     0 255"  export temp/test_formats_scalar.jpg
+$CONVERT import temp/test_formats.idx --field scalar --box "256 511     0 255"  export temp/test_formats_scalar.jpg
- $CONVERT import temp/test_formats.idx --field scalar --box "  0 255   256 511"  export temp/test_formats_scalar.tif
+$CONVERT import temp/test_formats.idx --field scalar --box "  0 255   256 511"  export temp/test_formats_scalar.tif
- $CONVERT import temp/test_formats.idx --field scalar --box "256 511   256 511"  export temp/test_formats_scalar.bmp
+$CONVERT import temp/test_formats.idx --field scalar --box "256 511   256 511"  export temp/test_formats_scalar.bmp
- $CONVERT import temp/test_formats.idx --field scalar --box "128 383   128 383"  export temp/test_formats_scalar.png
+$CONVERT import temp/test_formats.idx --field scalar --box "128 383   128 383"  export temp/test_formats_scalar.png
 </syntaxhighlight>

@@ Line 103: / Line 103: @@
 This can be easily performed specifying the destination ''box'' of each image, as following:
 <syntaxhighlight lang="bash">
- $CONVERT import $RESOURCES/cat_gray.tga export temp/test_formats.idx --field scalar --box "  0 255     0 255"
+$CONVERT import $RESOURCES/cat_gray.tga export temp/test_formats.idx --field scalar --box "  0 255     0 255"
- $CONVERT import $RESOURCES/cat_gray.tga export temp/test_formats.idx --field scalar --box "256 511     0 255"
+$CONVERT import $RESOURCES/cat_gray.tga export temp/test_formats.idx --field scalar --box "256 511     0 255"
- $CONVERT import $RESOURCES/cat_gray.tga export temp/test_formats.idx --field scalar --box "  0 255   256 511"
+$CONVERT import $RESOURCES/cat_gray.tga export temp/test_formats.idx --field scalar --box "  0 255   256 511"
- $CONVERT import $RESOURCES/cat_gray.tga export temp/test_formats.idx --field scalar --box "256 511   256 511"
+$CONVERT import $RESOURCES/cat_gray.tga export temp/test_formats.idx --field scalar --box "256 511   256 511"
 </syntaxhighlight>
 === Conversion from IDX to image ===

@@ Line 33: / Line 33: @@
 <syntaxhighlight lang="bash">
- $CONVERT info $RESOURCES/cat_gray.tga
+$CONVERT info $RESOURCES/cat_gray.tga
- $CONVERT info $RESOURCES/cat_rgb.tga
+$CONVERT info $RESOURCES/cat_rgb.tga
- $CONVERT info temp/cat_gray.idx
+$CONVERT info temp/cat_gray.idx
- $CONVERT info temp/cat_rgb.idx
+$CONVERT info temp/cat_rgb.idx
 </syntaxhighlight>

@@ Line 8: / Line 8: @@
 You can set this variable using your OS commands like:
 <syntaxhighlight lang="bash">
-  export CONVERT=/path/to/visus
+  export CONVERT=/path/to/visus_executable
 </syntaxhighlight>
 or
 <syntaxhighlight lang="bash">
-  setenv CONVERT /path/to/visus
+  setenv CONVERT /path/to/visus_executable
 </syntaxhighlight>
 The variable <code>$RESOURCES</code> is used instead to indicate a folder that contains the data to convert.

@@ Line 49: / Line 49: @@
 and use the following to create the dataset
 <syntaxhighlight lang="bash">
-  $CONVERT create temp/test_formats.idx --box "0 511 0 511" --fields "$fields"
+  $CONVERT create temp/test_formats.idx --box "0 511 0 511" --fields "$fields" --time 0 0 time%03d/
 </syntaxhighlight>