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| <div class="section" id="module-apache_beam.ml.gcp.videointelligenceml"> |
| <span id="apache-beam-ml-gcp-videointelligenceml-module"></span><h1>apache_beam.ml.gcp.videointelligenceml module<a class="headerlink" href="#module-apache_beam.ml.gcp.videointelligenceml" title="Permalink to this headline">¶</a></h1> |
| <p>A connector for sending API requests to the GCP Video Intelligence API.</p> |
| <dl class="class"> |
| <dt id="apache_beam.ml.gcp.videointelligenceml.AnnotateVideo"> |
| <em class="property">class </em><code class="descclassname">apache_beam.ml.gcp.videointelligenceml.</code><code class="descname">AnnotateVideo</code><span class="sig-paren">(</span><em>features</em>, <em>location_id=None</em>, <em>metadata=None</em>, <em>timeout=120</em>, <em>context_side_input=None</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/ml/gcp/videointelligenceml.html#AnnotateVideo"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.ml.gcp.videointelligenceml.AnnotateVideo" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Bases: <a class="reference internal" href="apache_beam.transforms.ptransform.html#apache_beam.transforms.ptransform.PTransform" title="apache_beam.transforms.ptransform.PTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">apache_beam.transforms.ptransform.PTransform</span></code></a></p> |
| <p>A <code class="docutils literal notranslate"><span class="pre">PTransform</span></code> for annotating video using the GCP Video Intelligence API |
| ref: <a class="reference external" href="https://cloud.google.com/video-intelligence/docs">https://cloud.google.com/video-intelligence/docs</a></p> |
| <p>Sends each element to the GCP Video Intelligence API. Element is a |
| Union[str, bytes] of either an URI (e.g. a GCS URI) or |
| bytes base64-encoded video data. |
| Accepts an <cite>AsDict</cite> side input that maps each video to a video context.</p> |
| <table class="docutils field-list" frame="void" rules="none"> |
| <col class="field-name" /> |
| <col class="field-body" /> |
| <tbody valign="top"> |
| <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple"> |
| <li><strong>features</strong> – (List[<code class="docutils literal notranslate"><span class="pre">videointelligence_v1.enums.Feature</span></code>]) Required. |
| The Video Intelligence API features to detect</li> |
| <li><strong>location_id</strong> – (str) Optional. |
| Cloud region where annotation should take place. |
| If no region is specified, a region will be determined |
| based on video file location.</li> |
| <li><strong>metadata</strong> – (Sequence[Tuple[str, str]]) Optional. |
| Additional metadata that is provided to the method.</li> |
| <li><strong>timeout</strong> – (int) Optional. |
| The time in seconds to wait for the response from the |
| Video Intelligence API</li> |
| <li><strong>context_side_input</strong> – <p>(beam.pvalue.AsDict) Optional. |
| An <code class="docutils literal notranslate"><span class="pre">AsDict</span></code> of a PCollection to be passed to the |
| _VideoAnnotateFn as the video context mapping containing additional |
| video context and/or feature-specific parameters. |
| Example usage:</p> |
| <div class="highlight-default notranslate"><div class="highlight"><pre><span></span>video_contexts = |
| [('gs://cloud-samples-data/video/cat.mp4', Union[dict, |
| ``videointelligence_v1.types.VideoContext``]), |
| ('gs://some-other-video/sample.mp4', Union[dict, |
| ``videointelligence_v1.types.VideoContext``]),] |
| |
| context_side_input = |
| ( |
| p |
| | "Video contexts" >> beam.Create(video_contexts) |
| ) |
| |
| videointelligenceml.AnnotateVideo(features, |
| context_side_input=beam.pvalue.AsDict(context_side_input))) |
| </pre></div> |
| </div> |
| </li> |
| </ul> |
| </td> |
| </tr> |
| </tbody> |
| </table> |
| <dl class="method"> |
| <dt id="apache_beam.ml.gcp.videointelligenceml.AnnotateVideo.expand"> |
| <code class="descname">expand</code><span class="sig-paren">(</span><em>pvalue</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/ml/gcp/videointelligenceml.html#AnnotateVideo.expand"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.ml.gcp.videointelligenceml.AnnotateVideo.expand" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| </dd></dl> |
| |
| <dl class="class"> |
| <dt id="apache_beam.ml.gcp.videointelligenceml.AnnotateVideoWithContext"> |
| <em class="property">class </em><code class="descclassname">apache_beam.ml.gcp.videointelligenceml.</code><code class="descname">AnnotateVideoWithContext</code><span class="sig-paren">(</span><em>features</em>, <em>location_id=None</em>, <em>metadata=None</em>, <em>timeout=120</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/ml/gcp/videointelligenceml.html#AnnotateVideoWithContext"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.ml.gcp.videointelligenceml.AnnotateVideoWithContext" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Bases: <a class="reference internal" href="#apache_beam.ml.gcp.videointelligenceml.AnnotateVideo" title="apache_beam.ml.gcp.videointelligenceml.AnnotateVideo"><code class="xref py py-class docutils literal notranslate"><span class="pre">apache_beam.ml.gcp.videointelligenceml.AnnotateVideo</span></code></a></p> |
| <p>A <code class="docutils literal notranslate"><span class="pre">PTransform</span></code> for annotating video using the GCP Video Intelligence API |
| ref: <a class="reference external" href="https://cloud.google.com/video-intelligence/docs">https://cloud.google.com/video-intelligence/docs</a></p> |
| <p>Sends each element to the GCP Video Intelligence API. |
| Element is a tuple of</p> |
| <blockquote> |
| <div>(Union[str, bytes], |
| Optional[videointelligence.types.VideoContext])</div></blockquote> |
| <p>where the former is either an URI (e.g. a GCS URI) or |
| bytes base64-encoded video data</p> |
| <table class="docutils field-list" frame="void" rules="none"> |
| <col class="field-name" /> |
| <col class="field-body" /> |
| <tbody valign="top"> |
| <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple"> |
| <li><strong>features</strong> – (List[<code class="docutils literal notranslate"><span class="pre">videointelligence_v1.enums.Feature</span></code>]) Required. |
| the Video Intelligence API features to detect</li> |
| <li><strong>location_id</strong> – (str) Optional. |
| Cloud region where annotation should take place. |
| If no region is specified, a region will be determined |
| based on video file location.</li> |
| <li><strong>metadata</strong> – (Sequence[Tuple[str, str]]) Optional. |
| Additional metadata that is provided to the method.</li> |
| <li><strong>timeout</strong> – (int) Optional. |
| The time in seconds to wait for the response from the |
| Video Intelligence API</li> |
| </ul> |
| </td> |
| </tr> |
| </tbody> |
| </table> |
| <dl class="method"> |
| <dt id="apache_beam.ml.gcp.videointelligenceml.AnnotateVideoWithContext.expand"> |
| <code class="descname">expand</code><span class="sig-paren">(</span><em>pvalue</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/ml/gcp/videointelligenceml.html#AnnotateVideoWithContext.expand"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.ml.gcp.videointelligenceml.AnnotateVideoWithContext.expand" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
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