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| <h1>Source code for pyspark.ml.image</h1><div class="highlight"><pre> |
| <span></span><span class="c1">#</span> |
| <span class="c1"># Licensed to the Apache Software Foundation (ASF) under one or more</span> |
| <span class="c1"># contributor license agreements. See the NOTICE file distributed with</span> |
| <span class="c1"># this work for additional information regarding copyright ownership.</span> |
| <span class="c1"># The ASF licenses this file to You under the Apache License, Version 2.0</span> |
| <span class="c1"># (the "License"); you may not use this file except in compliance with</span> |
| <span class="c1"># the License. You may obtain a copy of the License at</span> |
| <span class="c1">#</span> |
| <span class="c1"># http://www.apache.org/licenses/LICENSE-2.0</span> |
| <span class="c1">#</span> |
| <span class="c1"># Unless required by applicable law or agreed to in writing, software</span> |
| <span class="c1"># distributed under the License is distributed on an "AS IS" BASIS,</span> |
| <span class="c1"># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span> |
| <span class="c1"># See the License for the specific language governing permissions and</span> |
| <span class="c1"># limitations under the License.</span> |
| <span class="c1">#</span> |
| |
| <span class="sd">"""</span> |
| <span class="sd">.. attribute:: ImageSchema</span> |
| |
| <span class="sd"> An attribute of this module that contains the instance of :class:`_ImageSchema`.</span> |
| |
| <span class="sd">.. autoclass:: _ImageSchema</span> |
| <span class="sd"> :members:</span> |
| <span class="sd">"""</span> |
| |
| <span class="kn">import</span> <span class="nn">sys</span> |
| <span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Any</span><span class="p">,</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">List</span><span class="p">,</span> <span class="n">NoReturn</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">cast</span> |
| |
| <span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span> |
| |
| <span class="kn">from</span> <span class="nn">pyspark.sql.types</span> <span class="kn">import</span> <span class="n">Row</span><span class="p">,</span> <span class="n">StructType</span><span class="p">,</span> <span class="n">_create_row</span><span class="p">,</span> <span class="n">_parse_datatype_json_string</span> |
| <span class="kn">from</span> <span class="nn">pyspark.sql</span> <span class="kn">import</span> <span class="n">SparkSession</span> |
| |
| <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">"ImageSchema"</span><span class="p">]</span> |
| |
| |
| <div class="viewcode-block" id="_ImageSchema"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.image._ImageSchema.html#pyspark.ml.image._ImageSchema">[docs]</a><span class="k">class</span> <span class="nc">_ImageSchema</span><span class="p">:</span> |
| <span class="w"> </span><span class="sd">"""</span> |
| <span class="sd"> Internal class for `pyspark.ml.image.ImageSchema` attribute. Meant to be private and</span> |
| <span class="sd"> not to be instantized. Use `pyspark.ml.image.ImageSchema` attribute to access the</span> |
| <span class="sd"> APIs of this class.</span> |
| <span class="sd"> """</span> |
| |
| <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_imageSchema</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">StructType</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_ocvTypes</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">]]</span> <span class="o">=</span> <span class="kc">None</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_columnSchema</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">StructType</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_imageFields</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]]</span> <span class="o">=</span> <span class="kc">None</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_undefinedImageType</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span> |
| |
| <span class="nd">@property</span> |
| <span class="k">def</span> <span class="nf">imageSchema</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="n">StructType</span><span class="p">:</span> |
| <span class="w"> </span><span class="sd">"""</span> |
| <span class="sd"> Returns the image schema.</span> |
| |
| <span class="sd"> Returns</span> |
| <span class="sd"> -------</span> |
| <span class="sd"> :class:`StructType`</span> |
| <span class="sd"> with a single column of images named "image" (nullable)</span> |
| <span class="sd"> and having the same type returned by :meth:`columnSchema`.</span> |
| |
| <span class="sd"> .. versionadded:: 2.3.0</span> |
| <span class="sd"> """</span> |
| <span class="kn">from</span> <span class="nn">pyspark.core.context</span> <span class="kn">import</span> <span class="n">SparkContext</span> |
| |
| <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_imageSchema</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span> |
| <span class="n">ctx</span> <span class="o">=</span> <span class="n">SparkContext</span><span class="o">.</span><span class="n">_active_spark_context</span> |
| <span class="k">assert</span> <span class="n">ctx</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">ctx</span><span class="o">.</span><span class="n">_jvm</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> |
| <span class="n">jschema</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">_jvm</span><span class="o">.</span><span class="n">org</span><span class="o">.</span><span class="n">apache</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">ml</span><span class="o">.</span><span class="n">image</span><span class="o">.</span><span class="n">ImageSchema</span><span class="o">.</span><span class="n">imageSchema</span><span class="p">()</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_imageSchema</span> <span class="o">=</span> <span class="n">cast</span><span class="p">(</span><span class="n">StructType</span><span class="p">,</span> <span class="n">_parse_datatype_json_string</span><span class="p">(</span><span class="n">jschema</span><span class="o">.</span><span class="n">json</span><span class="p">()))</span> |
| <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_imageSchema</span> |
| |
| <span class="nd">@property</span> |
| <span class="k">def</span> <span class="nf">ocvTypes</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">]:</span> |
| <span class="w"> </span><span class="sd">"""</span> |
| <span class="sd"> Returns the OpenCV type mapping supported.</span> |
| |
| <span class="sd"> Returns</span> |
| <span class="sd"> -------</span> |
| <span class="sd"> dict</span> |
| <span class="sd"> a dictionary containing the OpenCV type mapping supported.</span> |
| |
| <span class="sd"> .. versionadded:: 2.3.0</span> |
| <span class="sd"> """</span> |
| <span class="kn">from</span> <span class="nn">pyspark.core.context</span> <span class="kn">import</span> <span class="n">SparkContext</span> |
| |
| <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ocvTypes</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span> |
| <span class="n">ctx</span> <span class="o">=</span> <span class="n">SparkContext</span><span class="o">.</span><span class="n">_active_spark_context</span> |
| <span class="k">assert</span> <span class="n">ctx</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">ctx</span><span class="o">.</span><span class="n">_jvm</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_ocvTypes</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span><span class="n">ctx</span><span class="o">.</span><span class="n">_jvm</span><span class="o">.</span><span class="n">org</span><span class="o">.</span><span class="n">apache</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">ml</span><span class="o">.</span><span class="n">image</span><span class="o">.</span><span class="n">ImageSchema</span><span class="o">.</span><span class="n">javaOcvTypes</span><span class="p">())</span> |
| <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ocvTypes</span> |
| |
| <span class="nd">@property</span> |
| <span class="k">def</span> <span class="nf">columnSchema</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="n">StructType</span><span class="p">:</span> |
| <span class="w"> </span><span class="sd">"""</span> |
| <span class="sd"> Returns the schema for the image column.</span> |
| |
| <span class="sd"> Returns</span> |
| <span class="sd"> -------</span> |
| <span class="sd"> :class:`StructType`</span> |
| <span class="sd"> a schema for image column,</span> |
| <span class="sd"> ``struct<origin:string, height:int, width:int, nChannels:int, mode:int, data:binary>``.</span> |
| |
| <span class="sd"> .. versionadded:: 2.4.0</span> |
| <span class="sd"> """</span> |
| <span class="kn">from</span> <span class="nn">pyspark.core.context</span> <span class="kn">import</span> <span class="n">SparkContext</span> |
| |
| <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_columnSchema</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span> |
| <span class="n">ctx</span> <span class="o">=</span> <span class="n">SparkContext</span><span class="o">.</span><span class="n">_active_spark_context</span> |
| <span class="k">assert</span> <span class="n">ctx</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">ctx</span><span class="o">.</span><span class="n">_jvm</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> |
| <span class="n">jschema</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">_jvm</span><span class="o">.</span><span class="n">org</span><span class="o">.</span><span class="n">apache</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">ml</span><span class="o">.</span><span class="n">image</span><span class="o">.</span><span class="n">ImageSchema</span><span class="o">.</span><span class="n">columnSchema</span><span class="p">()</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_columnSchema</span> <span class="o">=</span> <span class="n">cast</span><span class="p">(</span><span class="n">StructType</span><span class="p">,</span> <span class="n">_parse_datatype_json_string</span><span class="p">(</span><span class="n">jschema</span><span class="o">.</span><span class="n">json</span><span class="p">()))</span> |
| <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_columnSchema</span> |
| |
| <span class="nd">@property</span> |
| <span class="k">def</span> <span class="nf">imageFields</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]:</span> |
| <span class="w"> </span><span class="sd">"""</span> |
| <span class="sd"> Returns field names of image columns.</span> |
| |
| <span class="sd"> Returns</span> |
| <span class="sd"> -------</span> |
| <span class="sd"> list</span> |
| <span class="sd"> a list of field names.</span> |
| |
| <span class="sd"> .. versionadded:: 2.3.0</span> |
| <span class="sd"> """</span> |
| <span class="kn">from</span> <span class="nn">pyspark.core.context</span> <span class="kn">import</span> <span class="n">SparkContext</span> |
| |
| <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_imageFields</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span> |
| <span class="n">ctx</span> <span class="o">=</span> <span class="n">SparkContext</span><span class="o">.</span><span class="n">_active_spark_context</span> |
| <span class="k">assert</span> <span class="n">ctx</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">ctx</span><span class="o">.</span><span class="n">_jvm</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_imageFields</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">ctx</span><span class="o">.</span><span class="n">_jvm</span><span class="o">.</span><span class="n">org</span><span class="o">.</span><span class="n">apache</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">ml</span><span class="o">.</span><span class="n">image</span><span class="o">.</span><span class="n">ImageSchema</span><span class="o">.</span><span class="n">imageFields</span><span class="p">())</span> |
| <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_imageFields</span> |
| |
| <span class="nd">@property</span> |
| <span class="k">def</span> <span class="nf">undefinedImageType</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="nb">str</span><span class="p">:</span> |
| <span class="w"> </span><span class="sd">"""</span> |
| <span class="sd"> Returns the name of undefined image type for the invalid image.</span> |
| |
| <span class="sd"> .. versionadded:: 2.3.0</span> |
| <span class="sd"> """</span> |
| <span class="kn">from</span> <span class="nn">pyspark.core.context</span> <span class="kn">import</span> <span class="n">SparkContext</span> |
| |
| <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_undefinedImageType</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span> |
| <span class="n">ctx</span> <span class="o">=</span> <span class="n">SparkContext</span><span class="o">.</span><span class="n">_active_spark_context</span> |
| <span class="k">assert</span> <span class="n">ctx</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">ctx</span><span class="o">.</span><span class="n">_jvm</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_undefinedImageType</span> <span class="o">=</span> <span class="p">(</span> |
| <span class="n">ctx</span><span class="o">.</span><span class="n">_jvm</span><span class="o">.</span><span class="n">org</span><span class="o">.</span><span class="n">apache</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">ml</span><span class="o">.</span><span class="n">image</span><span class="o">.</span><span class="n">ImageSchema</span><span class="o">.</span><span class="n">undefinedImageType</span><span class="p">()</span> |
| <span class="p">)</span> |
| <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_undefinedImageType</span> |
| |
| <div class="viewcode-block" id="_ImageSchema.toNDArray"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.image._ImageSchema.html#pyspark.ml.image._ImageSchema.toNDArray">[docs]</a> <span class="k">def</span> <span class="nf">toNDArray</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">image</span><span class="p">:</span> <span class="n">Row</span><span class="p">)</span> <span class="o">-></span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">:</span> |
| <span class="w"> </span><span class="sd">"""</span> |
| <span class="sd"> Converts an image to an array with metadata.</span> |
| |
| <span class="sd"> Parameters</span> |
| <span class="sd"> ----------</span> |
| <span class="sd"> image : :class:`Row`</span> |
| <span class="sd"> image: A row that contains the image to be converted. It should</span> |
| <span class="sd"> have the attributes specified in `ImageSchema.imageSchema`.</span> |
| |
| <span class="sd"> Returns</span> |
| <span class="sd"> -------</span> |
| <span class="sd"> :class:`numpy.ndarray`</span> |
| <span class="sd"> that is an image.</span> |
| |
| <span class="sd"> .. versionadded:: 2.3.0</span> |
| <span class="sd"> """</span> |
| |
| <span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">Row</span><span class="p">):</span> |
| <span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span> |
| <span class="s2">"image argument should be pyspark.sql.types.Row; however, "</span> |
| <span class="s2">"it got [</span><span class="si">%s</span><span class="s2">]."</span> <span class="o">%</span> <span class="nb">type</span><span class="p">(</span><span class="n">image</span><span class="p">)</span> |
| <span class="p">)</span> |
| |
| <span class="k">if</span> <span class="nb">any</span><span class="p">(</span><span class="ow">not</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">f</span><span class="p">)</span> <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">imageFields</span><span class="p">):</span> |
| <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span> |
| <span class="s2">"image argument should have attributes specified in "</span> |
| <span class="s2">"ImageSchema.imageSchema [</span><span class="si">%s</span><span class="s2">]."</span> <span class="o">%</span> <span class="s2">", "</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">imageFields</span><span class="p">)</span> |
| <span class="p">)</span> |
| |
| <span class="n">height</span> <span class="o">=</span> <span class="n">image</span><span class="o">.</span><span class="n">height</span> |
| <span class="n">width</span> <span class="o">=</span> <span class="n">image</span><span class="o">.</span><span class="n">width</span> |
| <span class="n">nChannels</span> <span class="o">=</span> <span class="n">image</span><span class="o">.</span><span class="n">nChannels</span> |
| <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">(</span> |
| <span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="n">height</span><span class="p">,</span> <span class="n">width</span><span class="p">,</span> <span class="n">nChannels</span><span class="p">),</span> |
| <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">uint8</span><span class="p">,</span> |
| <span class="n">buffer</span><span class="o">=</span><span class="n">image</span><span class="o">.</span><span class="n">data</span><span class="p">,</span> |
| <span class="n">strides</span><span class="o">=</span><span class="p">(</span><span class="n">width</span> <span class="o">*</span> <span class="n">nChannels</span><span class="p">,</span> <span class="n">nChannels</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> |
| <span class="p">)</span></div> |
| |
| <div class="viewcode-block" id="_ImageSchema.toImage"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.image._ImageSchema.html#pyspark.ml.image._ImageSchema.toImage">[docs]</a> <span class="k">def</span> <span class="nf">toImage</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">array</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> <span class="n">origin</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">""</span><span class="p">)</span> <span class="o">-></span> <span class="n">Row</span><span class="p">:</span> |
| <span class="w"> </span><span class="sd">"""</span> |
| <span class="sd"> Converts an array with metadata to a two-dimensional image.</span> |
| |
| <span class="sd"> Parameters</span> |
| <span class="sd"> ----------</span> |
| <span class="sd"> array : :class:`numpy.ndarray`</span> |
| <span class="sd"> The array to convert to image.</span> |
| <span class="sd"> origin : str</span> |
| <span class="sd"> Path to the image, optional.</span> |
| |
| <span class="sd"> Returns</span> |
| <span class="sd"> -------</span> |
| <span class="sd"> :class:`Row`</span> |
| <span class="sd"> that is a two dimensional image.</span> |
| |
| <span class="sd"> .. versionadded:: 2.3.0</span> |
| <span class="sd"> """</span> |
| |
| <span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">array</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">):</span> |
| <span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span> |
| <span class="s2">"array argument should be numpy.ndarray; however, it got [</span><span class="si">%s</span><span class="s2">]."</span> <span class="o">%</span> <span class="nb">type</span><span class="p">(</span><span class="n">array</span><span class="p">)</span> |
| <span class="p">)</span> |
| |
| <span class="k">if</span> <span class="n">array</span><span class="o">.</span><span class="n">ndim</span> <span class="o">!=</span> <span class="mi">3</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"Invalid array shape"</span><span class="p">)</span> |
| |
| <span class="n">height</span><span class="p">,</span> <span class="n">width</span><span class="p">,</span> <span class="n">nChannels</span> <span class="o">=</span> <span class="n">array</span><span class="o">.</span><span class="n">shape</span> |
| <span class="n">ocvTypes</span> <span class="o">=</span> <span class="n">ImageSchema</span><span class="o">.</span><span class="n">ocvTypes</span> |
| <span class="k">if</span> <span class="n">nChannels</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span> |
| <span class="n">mode</span> <span class="o">=</span> <span class="n">ocvTypes</span><span class="p">[</span><span class="s2">"CV_8UC1"</span><span class="p">]</span> |
| <span class="k">elif</span> <span class="n">nChannels</span> <span class="o">==</span> <span class="mi">3</span><span class="p">:</span> |
| <span class="n">mode</span> <span class="o">=</span> <span class="n">ocvTypes</span><span class="p">[</span><span class="s2">"CV_8UC3"</span><span class="p">]</span> |
| <span class="k">elif</span> <span class="n">nChannels</span> <span class="o">==</span> <span class="mi">4</span><span class="p">:</span> |
| <span class="n">mode</span> <span class="o">=</span> <span class="n">ocvTypes</span><span class="p">[</span><span class="s2">"CV_8UC4"</span><span class="p">]</span> |
| <span class="k">else</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"Invalid number of channels"</span><span class="p">)</span> |
| |
| <span class="n">data</span> <span class="o">=</span> <span class="nb">bytearray</span><span class="p">(</span><span class="n">array</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">uint8</span><span class="p">)</span><span class="o">.</span><span class="n">ravel</span><span class="p">()</span><span class="o">.</span><span class="n">tobytes</span><span class="p">())</span> |
| |
| <span class="c1"># Creating new Row with _create_row(), because Row(name = value, ... )</span> |
| <span class="c1"># orders fields by name, which conflicts with expected schema order</span> |
| <span class="c1"># when the new DataFrame is created by UDF</span> |
| <span class="k">return</span> <span class="n">_create_row</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">imageFields</span><span class="p">,</span> <span class="p">[</span><span class="n">origin</span><span class="p">,</span> <span class="n">height</span><span class="p">,</span> <span class="n">width</span><span class="p">,</span> <span class="n">nChannels</span><span class="p">,</span> <span class="n">mode</span><span class="p">,</span> <span class="n">data</span><span class="p">])</span></div></div> |
| |
| |
| <span class="n">ImageSchema</span> <span class="o">=</span> <span class="n">_ImageSchema</span><span class="p">()</span> |
| |
| |
| <span class="c1"># Monkey patch to disallow instantiation of this class.</span> |
| <span class="k">def</span> <span class="nf">_disallow_instance</span><span class="p">(</span><span class="n">_</span><span class="p">:</span> <span class="n">Any</span><span class="p">)</span> <span class="o">-></span> <span class="n">NoReturn</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="s2">"Creating instance of _ImageSchema class is disallowed."</span><span class="p">)</span> |
| |
| |
| <span class="n">_ImageSchema</span><span class="o">.</span><span class="fm">__init__</span> <span class="o">=</span> <span class="n">_disallow_instance</span> <span class="c1"># type: ignore[assignment]</span> |
| |
| |
| <span class="k">def</span> <span class="nf">_test</span><span class="p">()</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span> |
| <span class="kn">import</span> <span class="nn">doctest</span> |
| <span class="kn">import</span> <span class="nn">pyspark.ml.image</span> |
| |
| <span class="n">globs</span> <span class="o">=</span> <span class="n">pyspark</span><span class="o">.</span><span class="n">ml</span><span class="o">.</span><span class="n">image</span><span class="o">.</span><span class="vm">__dict__</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> |
| <span class="n">spark</span> <span class="o">=</span> <span class="n">SparkSession</span><span class="o">.</span><span class="n">builder</span><span class="o">.</span><span class="n">master</span><span class="p">(</span><span class="s2">"local[2]"</span><span class="p">)</span><span class="o">.</span><span class="n">appName</span><span class="p">(</span><span class="s2">"ml.image tests"</span><span class="p">)</span><span class="o">.</span><span class="n">getOrCreate</span><span class="p">()</span> |
| <span class="n">globs</span><span class="p">[</span><span class="s2">"spark"</span><span class="p">]</span> <span class="o">=</span> <span class="n">spark</span> |
| |
| <span class="p">(</span><span class="n">failure_count</span><span class="p">,</span> <span class="n">test_count</span><span class="p">)</span> <span class="o">=</span> <span class="n">doctest</span><span class="o">.</span><span class="n">testmod</span><span class="p">(</span> |
| <span class="n">pyspark</span><span class="o">.</span><span class="n">ml</span><span class="o">.</span><span class="n">image</span><span class="p">,</span> <span class="n">globs</span><span class="o">=</span><span class="n">globs</span><span class="p">,</span> <span class="n">optionflags</span><span class="o">=</span><span class="n">doctest</span><span class="o">.</span><span class="n">ELLIPSIS</span> <span class="o">|</span> <span class="n">doctest</span><span class="o">.</span><span class="n">NORMALIZE_WHITESPACE</span> |
| <span class="p">)</span> |
| <span class="n">spark</span><span class="o">.</span><span class="n">stop</span><span class="p">()</span> |
| <span class="k">if</span> <span class="n">failure_count</span><span class="p">:</span> |
| <span class="n">sys</span><span class="o">.</span><span class="n">exit</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">)</span> |
| |
| |
| <span class="k">if</span> <span class="vm">__name__</span> <span class="o">==</span> <span class="s2">"__main__"</span><span class="p">:</span> |
| <span class="n">_test</span><span class="p">()</span> |
| </pre></div> |
| |
| </article> |
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