Add hello world plugin

Author: gnodar01

active_plugins/HelloWorld.py

@@ -0,0 +1,91 @@
+#################################
+#
+# Imports from useful Python libraries
+#
+#################################
+
+import matplotlib.pyplot as plt
+from matplotlib import patheffects
+import numpy as np
+
+#################################
+#
+# Imports from CellProfiler
+#
+##################################
+
+import cellprofiler_core.module
+import cellprofiler_core.setting.text
+
+__doc__ = """\
+HelloWorld
+============
+
+**HelloWorld** takes an image, and overlays "Hello World!" on top of it, by default.
+
+
+I am a module
+look at me,
+about as simple
+as could be.
+
+|
+
+============ ============ ===============
+Supports 2D? Supports 3D? Respects masks?
+============ ============ ===============
+YES          NO            YES
+============ ============ ===============
+
+"""
+
+class HelloWorld(cellprofiler_core.module.ImageProcessing):
+    module_name = "HelloWorld"
+    category = "Info"
+
+    variable_revision_number = 1
+
+    def create_settings(self):
+        super().create_settings()
+        self.y_name.set_value("OverlayImage")
+        self.overlay_text = cellprofiler_core.setting.text.Text("Overlay Text", "Hello World!", doc="The text you would like to be overlayed on top of the image.")
+
+    def settings(self):
+        return super().settings() + [self.overlay_text]
+
+    def visible_settings(self):
+        return super().visible_settings() + [self.overlay_text]
+
+    def run(self, workspace):
+        self.function = self.place_text_on_image
+        super().run(workspace)
+
+    def place_text_on_image(self,
+                            img,
+                            text,
+                            x_pos = 0, 
+                            y_pos = 0.99, 
+                            color = "white", 
+                            weight = "bold", 
+                            ha = "left", 
+                            va = "top", 
+                            outline_color = "black", 
+                            outline_width = 3):
+        fig = plt.figure()
+        fig.figimage(img, resize=True)
+
+        fontsize = 34/400*img.shape[0]
+
+        # Main text
+        txt = fig.text(x_pos, y_pos, text, fontsize=fontsize, color=color, weight=weight, 
+                    horizontalalignment=ha, verticalalignment=va)
+
+        # Apply white outline using path_effects
+        outline_effect = patheffects.withStroke(linewidth=outline_width, foreground=outline_color)
+        txt.set_path_effects([outline_effect])
+
+        fig.canvas.draw()
+        annotated_img = np.asarray(fig.canvas.renderer.buffer_rgba())
+        plt.close(fig)
+        return annotated_img
+