Make the exporter export the list of classes into the output for classification networks

Author: TrentHouliston

training/export.py

@@ -88,18 +88,19 @@ def export(config, output_path):
     first = tf.reshape(first, (-1, first.shape[-1]))
     stages[0][0]["weights"] = first.numpy().tolist()
 
+    network = {
+        "geometry": {
+            "intersections": config["projection"]["config"]["geometry"]["intersections"],
+            "radius": config["projection"]["config"]["geometry"]["radius"],
+            "shape": config["projection"]["config"]["geometry"]["shape"],
+        },
+        "mesh": config["projection"]["config"]["mesh"]["model"],
+        "network": stages,
+    }
+
+    # Add classification meta data
+    if config["label"]["type"] == "Classification":
+        network["class_map"] = {c["name"]: i for i, c in enumerate(config["label"]["config"]["classes"])}
+
     with open(os.path.join(output_path, "model.yaml"), "w") as out:
-        yaml.dump(
-            {
-                "mesh": config["projection"]["config"]["mesh"]["model"],
-                "geometry": {
-                    "shape": config["projection"]["config"]["geometry"]["shape"],
-                    "radius": config["projection"]["config"]["geometry"]["radius"],
-                    "intersections": config["projection"]["config"]["geometry"]["intersections"],
-                },
-                "network": stages,
-            },
-            out,
-            default_flow_style=None,
-            width=float("inf"),
-        )
+        yaml.dump(network, out, default_flow_style=None, width=float("inf"))