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This commit is contained in:
Christian Tzolov
2020-06-25 18:29:17 +02:00
parent 20ca5a4680
commit a1e26baba8
7 changed files with 20 additions and 20 deletions
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8
function/semantic-segmentation-function/README.adoc
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@@ -42,7 +42,7 @@ Following snippet demos how to use the PASCAL VOC model to apply mask to an inpu
----
SemanticSegmentation segmentationService = new SemanticSegmentation(
"http://download.tensorflow.org/models/deeplabv3_mnv2_pascal_trainval_2018_01_29.tar.gz#frozen_inference_graph.pb", // <1>
"https://download.tensorflow.org/models/deeplabv3_mnv2_pascal_trainval_2018_01_29.tar.gz#frozen_inference_graph.pb", // <1>
true); // <2>
byte[] inputImage = GraphicsUtils.loadAsByteArray("classpath:/images/VikiMaxiAdi.jpg"); // <3>
@@ -87,13 +87,13 @@ Also, convenience there are a couple of models, extracted from the archive and u
[cols=2*,, frame=none, grid=none]
|===
|PASCAL VOC 2012 (default)
|http://dl.bintray.com/big-data/generic/deeplabv3_mnv2_pascal_train_aug_frozen_inference_graph.pb
|https://dl.bintray.com/big-data/generic/deeplabv3_mnv2_pascal_train_aug_frozen_inference_graph.pb
|CITYSCAPE
|http://dl.bintray.com/big-data/generic/deeplabv3_mnv2_cityscapes_train_2018_02_05_frozen_inference_graph.pb
|https://dl.bintray.com/big-data/generic/deeplabv3_mnv2_cityscapes_train_2018_02_05_frozen_inference_graph.pb
|ADE20K
|http://dl.bintray.com/big-data/generic/deeplabv3_xception_ade20k_train_2018_05_29_frozen_inference_graph.pb
|https://dl.bintray.com/big-data/generic/deeplabv3_xception_ade20k_train_2018_05_29_frozen_inference_graph.pb
|===
## References:

6
function/semantic-segmentation-function/src/main/java/org/springframework/cloud/fn/semantic/segmentation/SemanticSegmentation.java
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@@ -221,7 +221,7 @@ public class SemanticSegmentation implements AutoCloseable {
public static void main(String[] args) throws IOException {
try (SemanticSegmentation segmentationService = new SemanticSegmentation(
"http://download.tensorflow.org/models/deeplabv3_mnv2_cityscapes_train_2018_02_05.tar.gz#frozen_inference_graph.pb",
"https://download.tensorflow.org/models/deeplabv3_mnv2_cityscapes_train_2018_02_05.tar.gz#frozen_inference_graph.pb",
SegmentationColorMap.loadColorMap("classpath:/colormap/citymap_colormap.json"), null, 0.45f)
) {
byte[] inputImage = GraphicsUtils.loadAsByteArray("classpath:/images/amsterdam-cityscape1.jpg");
@@ -243,7 +243,7 @@ public class SemanticSegmentation implements AutoCloseable {
}
try (SemanticSegmentation segmentationService = new SemanticSegmentation(
"http://download.tensorflow.org/models/deeplabv3_xception_ade20k_train_2018_05_29.tar.gz#frozen_inference_graph.pb",
"https://download.tensorflow.org/models/deeplabv3_xception_ade20k_train_2018_05_29.tar.gz#frozen_inference_graph.pb",
SegmentationColorMap.loadColorMap("classpath:/colormap/ade20k_colormap.json"), null, 0.45f)
) {
byte[] inputImage = GraphicsUtils.loadAsByteArray("classpath:/images/interior.jpg");
@@ -263,7 +263,7 @@ public class SemanticSegmentation implements AutoCloseable {
}
try (SemanticSegmentation segmentationService = new SemanticSegmentation(
"http://download.tensorflow.org/models/deeplabv3_mnv2_pascal_trainval_2018_01_29.tar.gz#frozen_inference_graph.pb",
"https://download.tensorflow.org/models/deeplabv3_mnv2_pascal_trainval_2018_01_29.tar.gz#frozen_inference_graph.pb",
SegmentationColorMap.loadColorMap("classpath:/colormap/black_white_colormap.json"), null, 0.45f)
) {
byte[] inputImage = GraphicsUtils.loadAsByteArray("classpath:/images/VikiMaxiAdi.jpg");