Add new video samples (#382)

Author: Ace Nassri

video-intelligence/analyze.js

@@ -18,33 +18,34 @@
 function analyzeFaces (gcsUri) {
   // [START analyze_faces]
   // Imports the Google Cloud Video Intelligence library
-  const Video = require('@google-cloud/videointelligence').v1beta1();
+  const Video = require('@google-cloud/videointelligence');
 
   // Instantiates a client
-  const video = Video.videoIntelligenceServiceClient();
+  const video = Video().videoIntelligenceServiceClient();
 
   // The GCS filepath of the video to analyze
-  // const gcsUri = 'gs://my-bucket/my-video.mp4'
+  // const gcsUri = 'gs://my-bucket/my-video.mp4';
 
   const request = {
     inputUri: gcsUri,
     features: ['FACE_DETECTION']
   };
 
-  // Detect faces in a video
+  // Detects faces in a video
   video.annotateVideo(request)
     .then((results) => {
       const operation = results[0];
       console.log('Waiting for operation to complete...');
       return operation.promise();
     })
     .then((results) => {
-      // Get faces for first video
+      // Gets faces
       const faces = results[0].annotationResults[0].faceAnnotations;
+      console.log('Faces:');
       faces.forEach((face, faceIdx) => {
-        console.log('Thumbnail size:', face.thumbnail.buffer.length);
+        console.log('\tThumbnail size:', face.thumbnail.length);
         face.segments.forEach((segment, segmentIdx) => {
-          console.log(`Track ${segmentIdx} of face ${faceIdx}: frames ${segment.startTimeOffset} to ${segment.endTimeOffset}`);
+          console.log(`\tTrack ${segmentIdx} of face ${faceIdx}: frames ${segment.startTimeOffset} to ${segment.endTimeOffset}`);
         });
       });
     })
@@ -54,32 +55,33 @@ function analyzeFaces (gcsUri) {
   // [END analyze_faces]
 }
 
-function analyzeLabels (gcsUri) {
-  // [START analyze_labels]
+function analyzeLabelsGCS (gcsUri) {
+  // [START analyze_labels_gcs]
   // Imports the Google Cloud Video Intelligence library
-  const Video = require('@google-cloud/videointelligence').v1beta1();
+  const Video = require('@google-cloud/videointelligence');
 
   // Instantiates a client
-  const video = Video.videoIntelligenceServiceClient();
+  const video = Video().videoIntelligenceServiceClient();
 
   // The GCS filepath of the video to analyze
-  // const gcsUri = 'gs://my-bucket/my-video.mp4'
+  // const gcsUri = 'gs://my-bucket/my-video.mp4';
 
   const request = {
     inputUri: gcsUri,
     features: ['LABEL_DETECTION']
   };
 
-  // Detect labels in a video
+  // Detects labels in a video
   video.annotateVideo(request)
     .then((results) => {
       const operation = results[0];
       console.log('Waiting for operation to complete...');
       return operation.promise();
     })
     .then((results) => {
-      // Get labels for first video
+      // Gets labels
       const labels = results[0].annotationResults[0].labelAnnotations;
+      console.log('Labels:');
       labels.forEach((label) => {
         console.log('Label description:', label.description);
         console.log('Locations:');
@@ -91,35 +93,83 @@ function analyzeLabels (gcsUri) {
     .catch((err) => {
       console.error('ERROR:', err);
     });
-  // [END analyze_labels]
+  // [END analyze_labels_gcs]
+}
+
+function analyzeLabelsLocal (path) {
+  // [START analyze_labels_local]
+  // Imports the Google Cloud Video Intelligence library + Node's fs library
+  const Video = require('@google-cloud/videointelligence');
+  const fs = require('fs');
+
+  // Instantiates a client
+  const video = Video().videoIntelligenceServiceClient();
+
+  // The local filepath of the video to analyze
+  // const path = 'my-file.mp4';
+
+  // Reads a local video file and converts it to base64
+  const file = fs.readFileSync(path);
+  const inputContent = file.toString('base64');
+
+  // Constructs request
+  const request = {
+    inputContent: inputContent,
+    features: ['LABEL_DETECTION']
+  };
+
+  // Detects labels in a video
+  video.annotateVideo(request)
+    .then((results) => {
+      const operation = results[0];
+      console.log('Waiting for operation to complete...');
+      return operation.promise();
+    })
+    .then((results) => {
+      // Gets labels for first video
+      const labels = results[0].annotationResults[0].labelAnnotations;
+      console.log('Labels:');
+      labels.forEach((label) => {
+        console.log('Label description:', label.description);
+        console.log('Locations:');
+        label.locations.forEach((location) => {
+          console.log(`\tFrames ${location.segment.startTimeOffset} to ${location.segment.endTimeOffset}`);
+        });
+      });
+    })
+    .catch((err) => {
+      console.error('ERROR:', err);
+    });
+  // [END analyze_labels_local]
 }
 
 function analyzeShots (gcsUri) {
   // [START analyze_shots]
   // Imports the Google Cloud Video Intelligence library
-  const Video = require('@google-cloud/videointelligence').v1beta1();
+  const Video = require('@google-cloud/videointelligence');
 
   // Instantiates a client
-  const video = Video.videoIntelligenceServiceClient();
+  const video = Video().videoIntelligenceServiceClient();
 
   // The GCS filepath of the video to analyze
-  // const gcsUri = 'gs://my-bucket/my-video.mp4'
+  // const gcsUri = 'gs://my-bucket/my-video.mp4';
 
   const request = {
     inputUri: gcsUri,
     features: ['SHOT_CHANGE_DETECTION']
   };
 
-  // Detect camera shot changes
+  // Detects camera shot changes
   video.annotateVideo(request)
     .then((results) => {
       const operation = results[0];
       console.log('Waiting for operation to complete...');
       return operation.promise();
     })
     .then((results) => {
-      // Get shot changes for first video
+      // Gets shot changes
       const shotChanges = results[0].annotationResults[0].shotAnnotations;
+      console.log('Shot changes:');
       shotChanges.forEach((shot, shotIdx) => {
         console.log(`Scene ${shotIdx}:`);
         console.log(`\tStart: ${shot.startTimeOffset}`);
@@ -132,29 +182,85 @@ function analyzeShots (gcsUri) {
   // [END analyze_shots]
 }
 
+function analyzeSafeSearch (gcsUri) {
+  // [START analyze_safe_search]
+  // Imports the Google Cloud Video Intelligence library
+  const Video = require('@google-cloud/videointelligence');
+
+  // Instantiates a client
+  const video = Video().videoIntelligenceServiceClient();
+
+  // The GCS filepath of the video to analyze
+  // const gcsUri = 'gs://my-bucket/my-video.mp4';
+
+  const request = {
+    inputUri: gcsUri,
+    features: ['SAFE_SEARCH_DETECTION']
+  };
+
+  // Detects unsafe content
+  video.annotateVideo(request)
+    .then((results) => {
+      const operation = results[0];
+      console.log('Waiting for operation to complete...');
+      return operation.promise();
+    })
+    .then((results) => {
+      // Gets unsafe content
+      const safeSearchResults = results[0].annotationResults[0].safeSearchAnnotations;
+      console.log('Safe search results:');
+      safeSearchResults.forEach((result) => {
+        console.log(`Frame ${result.timeOffset}:`);
+        console.log(`\tAdult: ${result.adult}`);
+        console.log(`\tSpoof: ${result.spoof}`);
+        console.log(`\tMedical: ${result.medical}`);
+        console.log(`\tViolent: ${result.violent}`);
+        console.log(`\tRacy: ${result.racy}`);
+      });
+    })
+    .catch((err) => {
+      console.error('ERROR:', err);
+    });
+  // [END analyze_safe_search]
+}
+
 require(`yargs`) // eslint-disable-line
   .demand(1)
   .command(
     `faces <gcsUri>`,
-    `Analyzes faces in a video using the Cloud Video Intelligence API.`,
+    `Analyzes faces in a video stored in Google Cloud Storage using the Cloud Video Intelligence API.`,
     {},
     (opts) => analyzeFaces(opts.gcsUri)
   )
   .command(
     `shots <gcsUri>`,
-    `Analyzes shot angles in a video using the Cloud Video Intelligence API.`,
+    `Analyzes shot angles in a video stored in Google Cloud Storage using the Cloud Video Intelligence API.`,
     {},
     (opts) => analyzeShots(opts.gcsUri)
   )
   .command(
-    `labels <gcsUri>`,
-    `Labels objects in a video using the Cloud Video Intelligence API.`,
+    `labels-gcs <gcsUri>`,
+    `Labels objects in a video stored in Google Cloud Storage using the Cloud Video Intelligence API.`,
+    {},
+    (opts) => analyzeLabelsGCS(opts.gcsUri)
+  )
+  .command(
+    `labels-file <gcsUri>`,
+    `Labels objects in a video stored locally using the Cloud Video Intelligence API.`,
+    {},
+    (opts) => analyzeLabelsLocal(opts.gcsUri)
+  )
+  .command(
+    `safe-search <gcsUri>`,
+    `Detects adult content in a video stored in Google Cloud Storage.`,
     {},
-    (opts) => analyzeLabels(opts.gcsUri)
+    (opts) => analyzeSafeSearch(opts.gcsUri)
   )
   .example(`node $0 faces gs://my-bucket/my-video.mp4`)
   .example(`node $0 shots gs://my-bucket/my-video.mp4`)
-  .example(`node $0 labels gs://my-bucket/my-video.mp4`)
+  .example(`node $0 labels-gcs gs://my-bucket/my-video.mp4`)
+  .example(`node $0 labels-file my-video.mp4`)
+  .example(`node $0 safe-search gs://my-bucket/my-video.mp4`)
   .wrap(120)
   .recommendCommands()
   .epilogue(`For more information, see https://cloud.google.com/video-intelligence/docs`)

video-intelligence/quickstart.js

@@ -47,7 +47,7 @@ video.annotateVideo(request)
     // Gets faces for video from its annotations
     const faces = annotations.faceAnnotations;
     faces.forEach((face, faceIdx) => {
-      console.log('Thumbnail size:', face.thumbnail.buffer.length);
+      console.log('Thumbnail size:', face.thumbnail.length);
       face.segments.forEach((segment, segmentIdx) => {
         console.log(`Track ${segmentIdx} of face ${faceIdx}: frames ${segment.startTimeOffset} to ${segment.endTimeOffset}`);
       });

video-intelligence/resources/cat.mp4

@@ -25,19 +25,32 @@ const cmd = `node analyze.js`;
 const cwd = path.join(__dirname, `..`);
 
 // analyze_faces
-test(`should analyze faces`, async (t) => {
+test(`should analyze faces in a GCS file`, async (t) => {
   const output = await tools.runAsync(`${cmd} faces gs://nodejs-docs-samples/video/google_gmail.mp4`, cwd);
   t.regex(output, /Thumbnail size: \d+/);
 });
 
-// analyze_labels
-test(`should analyze labels`, async (t) => {
-  const output = await tools.runAsync(`${cmd} labels gs://nodejs-docs-samples/video/cat.mp4`, cwd);
+// analyze_labels_gcs
+test(`should analyze labels in a GCS file`, async (t) => {
+  const output = await tools.runAsync(`${cmd} labels-gcs gs://nodejs-docs-samples/video/cat.mp4`, cwd);
+  t.regex(output, /Label description: Whiskers/);
+});
+
+// analyze_labels_local
+test(`should analyze labels in a local file`, async (t) => {
+  const output = await tools.runAsync(`${cmd} labels-file resources/cat.mp4`, cwd);
   t.regex(output, /Label description: Whiskers/);
 });
 
 // analyze_shots
-test(`should analyze shots`, async (t) => {
+test(`should analyze shots in a GCS file`, async (t) => {
   const output = await tools.runAsync(`${cmd} shots gs://nodejs-docs-samples/video/gbike_dinosaur.mp4`, cwd);
   t.regex(output, /Scene 0:/);
 });
+
+// analyze_safe_search
+test(`should analyze safe search results in a GCS file`, async (t) => {
+  const output = await tools.runAsync(`${cmd} safe-search gs://nodejs-docs-samples/video/google_gmail.mp4`, cwd);
+  t.regex(output, /Frame \d+/);
+  t.regex(output, /Spoof: \d+/);
+});