Startup

script/transp.py

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+import json
+from logging import getLogger
+
+import numpy
+from cam_server.pipeline.data_processing import functions
+
+_logger = getLogger(__name__)
+
+
+def process_image(image, timestamp, x_axis, y_axis, parameters, image_background_array=None):
+
+    # Add return values
+    return_value = dict()
+
+    if image_background_array is not None:
+        image = functions.subtract_background(image, image_background_array)
+
+    image_threshold = parameters.get("image_threshold")
+    if image_threshold is not None and image_threshold > 0:
+        functions.apply_threshold(image, image_threshold)
+
+    image_region_of_interest = parameters.get("image_region_of_interest")
+    if image_region_of_interest:
+        offset_x, size_x, offset_y, size_y = image_region_of_interest
+        image = functions.get_region_of_interest(image, offset_x, size_x, offset_y, size_y)
+
+        # Apply roi to geometry x_axis and y_axis
+        x_axis = x_axis[offset_x:offset_x + size_x]
+        y_axis = y_axis[offset_y:offset_y + size_y]
+
+    # Add return values
+    return_value["x_axis"] = x_axis
+    return_value["y_axis"] = y_axis
+    return_value["image"] = image
+
+    # Needed for config traceability.
+    return_value["processing_parameters"] = json.dumps(parameters)
+    return return_value