feat: add point precompute example

Author: seankmartin

examples/add_points_many_properties.py

@@ -0,0 +1,124 @@
+import argparse
+
+import neuroglancer
+import neuroglancer.cli
+
+if __name__ == "__main__":
+    ap = argparse.ArgumentParser()
+    neuroglancer.cli.add_server_arguments(ap)
+    args = ap.parse_args()
+    neuroglancer.cli.handle_server_arguments(args)
+    viewer = neuroglancer.Viewer()
+    # We need first, RGB
+    properties = [
+        neuroglancer.AnnotationPropertySpec(
+            id="color",
+            description="Color of the annotation",
+            type="rgb",
+            default="#ff0000",  # red
+        ),
+        neuroglancer.AnnotationPropertySpec(
+            id="size",
+            description="Size of the annotation",
+            type="float32",
+            default=10,
+        ),
+        neuroglancer.AnnotationPropertySpec(
+            id="p_int8",
+            type="int8",
+            default=10,
+        ),
+        neuroglancer.AnnotationPropertySpec(
+            id="p_uint8",
+            type="uint8",
+            default=10,
+        ),
+        neuroglancer.AnnotationPropertySpec(
+            id="rgba_color",
+            type="rgba",
+            default="#00ff00ff",  # green with full opacity
+        ),
+        neuroglancer.AnnotationPropertySpec(
+            id="p_enum1",
+            type="uint16",
+            default=0,
+            enum_values=[0, 1, 2, 3],
+            enum_labels=[
+                "Option 0",
+                "Option 1",
+                "Option 2",
+                "Option 3",
+            ],
+        ),
+        neuroglancer.AnnotationPropertySpec(
+            id="p_fnum32",
+            type="float32",
+            default=0.0,
+            description="A float number property",
+            enum_values=[0.0, 1.5, 2.6, 3.0],
+            enum_labels=[
+                "Zero",
+                "One and a half",
+                "Two point six",
+                "Three",
+            ],
+        ),
+    ]
+
+    def random_values(i):
+        return [i * t for t in range(300)]
+
+    with viewer.txn() as s:
+        s.dimensions = neuroglancer.CoordinateSpace(
+            names=["x", "y"], units="nm", scales=[1, 1]
+        )
+        s.position = [150, 150]
+        s.layers.append(
+            name="a",
+            layer=neuroglancer.LocalAnnotationLayer(
+                dimensions=s.dimensions,
+                annotation_properties=properties,
+                annotations=[
+                    neuroglancer.PointAnnotation(
+                        id="1",
+                        point=[150, 150],
+                        props=[
+                            "#00ff00",  # green
+                            5,  # size
+                            6,  # p_int8
+                            7,  # p_uint8
+                            "#ff00ffaa",  # rgba_color
+                            2,  # p_enum1 (Option 2)
+                            2.6,  # p_fnum32 (Two point six)
+                        ],
+                    ),
+                    neuroglancer.PointAnnotation(
+                        id="2",
+                        point=[250, 100],
+                        props=[
+                            "#0000ff",  # blue
+                            10,  # size
+                            -5,  # p_int8
+                            20,  # p_uint8
+                            "#00ffffff",  # yellow with full opacity
+                            1,  # p_enum1 (Option 1)
+                            1.5,  # p_fnum32 (One and a half)
+                        ],
+                    ),
+                    neuroglancer.PointAnnotation(
+                        id="3",
+                        point=[20, 20],
+                    ),
+                ],
+                shader="""
+void main() {
+  setColor(prop_color());
+  setPointMarkerSize(prop_size());
+}
+""",
+            ),
+        )
+        s.layout = "xy"
+        s.selected_layer.layer = "a"
+    print("Use `Control+right click` to display annotation details.")
+    print(viewer)