Updated how we access config version from luxonis-ml

luxonis_train/core/core.py

@@ -105,9 +105,11 @@ def __init__(
         self.pl_trainer = create_trainer(
             self.cfg.trainer,
             logger=self.tracker,
-            callbacks=LuxonisRichProgressBar()
-            if self.cfg.trainer.use_rich_progress_bar
-            else LuxonisTQDMProgressBar(),
+            callbacks=(
+                LuxonisRichProgressBar()
+                if self.cfg.trainer.use_rich_progress_bar
+                else LuxonisTQDMProgressBar()
+            ),
             precision=self.cfg.trainer.precision,
         )
 
@@ -543,9 +545,11 @@ def _objective(trial: optuna.trial.Trial) -> float:
                 _core=self,
             )
             callbacks = [
-                LuxonisRichProgressBar()
-                if cfg.trainer.use_rich_progress_bar
-                else LuxonisTQDMProgressBar()
+                (
+                    LuxonisRichProgressBar()
+                    if cfg.trainer.use_rich_progress_bar
+                    else LuxonisTQDMProgressBar()
+                )
             ]
 
             pruner_callback = PyTorchLightningPruningCallback(
@@ -710,6 +714,7 @@ def _mult(lst: list[float | int]) -> list[float]:
             ),
             "reverse_channels": self.cfg.trainer.preprocessing.train_rgb,
             "interleaved_to_planar": False,  # TODO: make it modifiable?
+            "dai_type": "RGB888p",
         }
 
         inputs_dict = get_inputs(path)
@@ -752,7 +757,7 @@ def _mult(lst: list[float | int]) -> list[float]:
         }
 
         cfg_dict = {
-            "config_version": CONFIG_VERSION.__args__[-1],  # type: ignore
+            "config_version": CONFIG_VERSION,
             "model": model,
         }
 

luxonis_train/core/utils/archive_utils.py

@@ -6,7 +6,6 @@
 import onnx
 from luxonis_ml.nn_archive.config_building_blocks import (
     DataType,
-    ObjectDetectionSubtypeYOLO,
 )
 from onnx.onnx_pb import TensorProto
 
@@ -143,7 +142,7 @@ def _get_head_specific_parameters(
             ImplementedHeadsIsSoxtmaxed, head_name
         ).value
     elif head_name == "EfficientBBoxHead":
-        parameters["subtype"] = ObjectDetectionSubtypeYOLO.YOLOv6.value
+        parameters["subtype"] = "yolov6"
         head_node = nodes[head_alias]
         parameters["iou_threshold"] = head_node.iou_thres
         parameters["conf_threshold"] = head_node.conf_thres

requirements.txt

@@ -1,6 +1,6 @@
 blobconverter>=1.4.2
 lightning>=2.4.0
-luxonis-ml[data,tracker]>=0.4.0
+luxonis-ml[data,tracker]>=0.5.0
 onnx>=1.12.0
 onnxruntime>=1.13.1
 onnxsim>=0.4.10

tests/integration/parking_lot.json

@@ -30,7 +30,8 @@
                         57.375
                     ],
                     "reverse_channels": true,
-                    "interleaved_to_planar": false
+                    "interleaved_to_planar": false,
+                    "dai_type": "RGB888p"
                 }
             }
         ],
@@ -153,8 +154,8 @@
                 "metadata": {
                     "postprocessor_path": null,
                     "classes": [
-                        "motorbike",
-                        "car"
+                        "car",
+                        "motorbike"
                     ],
                     "n_classes": 2,
                     "iou_threshold": 0.45,
@@ -229,29 +230,29 @@
                 "metadata": {
                     "postprocessor_path": null,
                     "classes": [
+                        "Kawasaki",
+                        "alfa-romeo",
+                        "aprilia",
                         "background",
-                        "chrysler",
                         "bmw",
-                        "ducati",
+                        "buick",
+                        "chrysler",
                         "dodge",
+                        "ducati",
                         "ferrari",
-                        "infiniti",
-                        "land-rover",
-                        "roll-royce",
-                        "saab",
-                        "Kawasaki",
-                        "moto",
-                        "truimph",
-                        "alfa-romeo",
                         "harley",
                         "honda",
+                        "infiniti",
+                        "isuzu",
                         "jeep",
-                        "aprilia",
+                        "land-rover",
+                        "moto",
                         "piaggio",
-                        "yamaha",
-                        "buick",
                         "pontiac",
-                        "isuzu"
+                        "roll-royce",
+                        "saab",
+                        "truimph",
+                        "yamaha"
                     ],
                     "n_classes": 23,
                     "is_softmax": false
@@ -279,4 +280,4 @@
             }
         ]
     }
-}
+}