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mattmann pushed a commit to branch gsoc17
in repository https://gitbox.apache.org/repos/asf/tika.git
The following commit(s) were added to refs/heads/gsoc17 by this push:
new 2eabced Make sure tests get run if Tensorflow is available via Docker
or script
2eabced is described below
commit 2eabced07caef66f7d278e3212f53aff6e581746
Author: Chris Mattmann <[email protected]>
AuthorDate: Sat Jul 8 22:58:25 2017 -0700
Make sure tests get run if Tensorflow is available via Docker or script
---
.../recognition/ObjectRecognitionParserTest.java | 28 ++++++++++++++--------
1 file changed, 18 insertions(+), 10 deletions(-)
diff --git
a/tika-parsers/src/test/java/org/apache/tika/parser/recognition/ObjectRecognitionParserTest.java
b/tika-parsers/src/test/java/org/apache/tika/parser/recognition/ObjectRecognitionParserTest.java
index e1c4ddd..e34a529 100644
---
a/tika-parsers/src/test/java/org/apache/tika/parser/recognition/ObjectRecognitionParserTest.java
+++
b/tika-parsers/src/test/java/org/apache/tika/parser/recognition/ObjectRecognitionParserTest.java
@@ -17,24 +17,23 @@
package org.apache.tika.parser.recognition;
import org.apache.commons.lang.StringUtils;
+import org.apache.cxf.jaxrs.client.WebClient;
import org.apache.tika.Tika;
import org.apache.tika.config.TikaConfig;
import org.apache.tika.exception.TikaException;
import org.apache.tika.io.IOUtils;
import org.apache.tika.metadata.Metadata;
-import org.apache.tika.parser.captioning.tf.TensorflowRESTCaptioner;
+import org.apache.tika.parser.recognition.tf.TensorflowImageRecParser;
import org.junit.Assert;
-import org.junit.Ignore;
+import org.junit.Assume;
import org.junit.Test;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.xml.sax.SAXException;
-import sun.rmi.runtime.Log;
import java.io.IOException;
import java.io.InputStream;
import java.io.Reader;
-import java.util.HashMap;
import java.util.List;
/**
@@ -56,10 +55,11 @@ public class ObjectRecognitionParserTest {
private static final ClassLoader loader =
ObjectRecognitionParserTest.class.getClassLoader();
private static final Logger LOG =
LoggerFactory.getLogger(ObjectRecognitionParserTest.class);
-
- @Ignore("If tensorflow not available Ignore")
+
@Test
public void jpegTFObjRecTest() throws IOException, TikaException,
SAXException {
+ TensorflowImageRecParser p = new TensorflowImageRecParser();
+ Assume.assumeTrue(p.isAvailable());
try (InputStream stream =
loader.getResourceAsStream(CONFIG_FILE_OBJ_REC)) {
assert stream != null;
Tika tika = new Tika(new TikaConfig(stream));
@@ -79,33 +79,41 @@ public class ObjectRecognitionParserTest {
}
}
- @Ignore("Configure Rest API service")
@Test
public void jpegRESTObjRecTest() throws Exception {
+ String apiUrl = "http://localhost:8764/inception/v4/ping";;
+ int status = WebClient.create(apiUrl).get().getStatus();
+ Assume.assumeTrue(status == 200);
String[] expectedObjects = {"Egyptian cat", "tabby, tabby cat"};
doRecognize(CONFIG_REST_FILE_OBJ_REC, CAT_IMAGE_JPEG,
ObjectRecognitionParser.MD_KEY_OBJ_REC, expectedObjects);
}
- @Ignore("Configure Rest API service")
@Test
public void jpegRESTim2txtTest() throws Exception {
+ String apiUrl = "http://localhost:8764/inception/v3/ping";;
+ int status = WebClient.create(apiUrl).get().getStatus();
+ Assume.assumeTrue(status == 200);
String[] expectedCaption = {"a baseball player holding a bat on a
field"};
doRecognize(CONFIG_REST_FILE_IM2TXT, BASEBALL_IMAGE_JPEG,
ObjectRecognitionParser.MD_KEY_IMG_CAP, expectedCaption);
}
- @Ignore("Configure Rest API service")
@Test
public void pngRESTim2txtTest() throws Exception {
+ String apiUrl = "http://localhost:8764/inception/v3/ping";;
+ int status = WebClient.create(apiUrl).get().getStatus();
+ Assume.assumeTrue(status == 200);
String[] expectedCaption = {"a baseball player holding a bat on a
field"};
doRecognize(CONFIG_REST_FILE_IM2TXT, BASEBALL_IMAGE_PNG,
ObjectRecognitionParser.MD_KEY_IMG_CAP, expectedCaption);
}
- @Ignore("Configure Rest API service")
@Test
public void gifRESTim2txtTest() throws Exception {
+ String apiUrl = "http://localhost:8764/inception/v3/ping";;
+ int status = WebClient.create(apiUrl).get().getStatus();
+ Assume.assumeTrue(status == 200);
String[] expectedCaption = {"a baseball player pitching a ball on top
of a field"};
doRecognize(CONFIG_REST_FILE_IM2TXT, BASEBALL_IMAGE_GIF,
ObjectRecognitionParser.MD_KEY_IMG_CAP, expectedCaption);
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