:py:mod:`uavfpy.odcl.pipeline`
==============================

.. py:module:: uavfpy.odcl.pipeline

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Module Contents
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Classes
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.. autoapisummary::

   uavfpy.odcl.pipeline.FoundTarget
   uavfpy.odcl.pipeline.Pipeline




Attributes
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.. autoapisummary::

   uavfpy.odcl.pipeline.MODEL_PATH


.. py:class:: FoundTarget(**kwargs)

   Bases: :py:obj:`object`

   
















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.. py:class:: Pipeline(interpreter, tiler, color, geolocator, drawer=None)

   Bases: :py:obj:`object`

   
















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   .. py:method:: inference_over_tiles(self, raw, resize=False)

      
















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   .. py:method:: parse_targets(self, raw, targets, interpreter)

      
















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   .. py:method:: process_color(self, cropped_img)

      
















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   .. py:method:: _mask_compare(self, img, mask, sz=(400, 400))

      
      utility to compare the extracted letter mask to the image side-by-side
















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   .. py:method:: run(self, raw, gps, altitude, quat=None)

      
      Primary run method for the imaging pipeline
















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.. py:data:: MODEL_PATH
   :annotation: = ./models/efficientdet_lite0_320_ptq_edgetpu.tflite

   
















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