fix: comments were fixed

niceml/data/netdataloggers/netdatalogger.py

@@ -17,7 +17,7 @@ class NetDataLogger(ABC):
     """Abstract implementation of an NetDataLogger"""
 
     def __init__(self):
-        """Constructor"""
+        """Initializes the NetDataLogger with default values"""
         self.data_description = None
         self.exp_context = None
         self.set_name = None

niceml/dlframeworks/tensorflow/metrics/objdetmetrics.py

@@ -13,11 +13,11 @@ class AvgPosPredObjDet:  # pylint: disable=too-few-public-methods
     """Positive Classification Values for object detection"""
 
     def __init__(self, name: str = "avg_pos_pred"):
-        """Constructor"""
+        """Initializes the AvgPosPredObjDet with the given name"""
         self.__name__ = name
 
     def __call__(self, y_true, y_pred):
-        """Call method for metric"""
+        """Call method is used as a default interface for the metric"""
         y_pred = tf.cast(y_pred, dtype=tf.float32)
 
         cls_predictions = y_pred[:, :, 4:]
@@ -36,11 +36,11 @@ class AvgNegPredObjDet:  # pylint: disable=too-few-public-methods
     """Negative Classification Values for object detection"""
 
     def __init__(self, name: str = "avg_neg_pred"):
-        """Constructor"""
+        """Initializes the AvgNegPredObjDet with the given name"""
         self.__name__ = name
 
     def __call__(self, y_true, y_pred):
-        """Call method for metric"""
+        """Call method is used as a default interface for the metric"""
         y_pred = tf.cast(y_pred, dtype=tf.float32)
 
         cls_predictions = y_pred[:, :, 4:]
@@ -69,9 +69,11 @@ class AvgPosTargetCountObjDet:  # pylint: disable=too-few-public-methods
     """Average positive target count for one image in object detection"""
 
     def __init__(self, name: str = "avg_pos_target_count"):
+        """Initializes the AvgPosTargetCountObjDet"""
         self.__name__ = name
 
     def __call__(self, y_true, y_pred):
+        """Call method is used as a default interface for the metric"""
         positive_mask = tf.cast(
             tf.equal(y_true[:, :, 4], POSITIVE_MASK_VALUE), dtype=tf.float32
         )
@@ -84,9 +86,11 @@ class AvgNegTargetCountObjDet:  # pylint: disable=too-few-public-methods
     """Average negative target count for one image in object detection"""
 
     def __init__(self, name: str = "avg_neg_target_count"):
+        """Initializes the AvgNegTargetCountObjDet"""
         self.__name__ = name
 
     def __call__(self, y_true, y_pred):
+        """Call method is used as a default interface for the metric"""
         negative_mask = tf.cast(
             tf.equal(y_true[:, :, 4], NEGATIVE_MASK_VALUE), dtype=tf.float32
         )

niceml/dlframeworks/tensorflow/models/mlp.py

@@ -24,14 +24,14 @@ def __init__(
         final_activation: str = "linear",
         do_summary: bool = True,
     ):
-        """Constructor"""
+        """Initializes the OwnMLP model factory"""
         self.hidden_layers = hidden_layers
         self.activation = activation
         self.do_summary = do_summary
         self.final_activation = final_activation
 
     def create_model(self, data_description: DataDescription) -> Any:
-        """Creates the model"""
+        """Creates the mlp model"""
         input_dd: InputVectorDataDescription = check_instance(
             data_description, InputVectorDataDescription
         )

niceml/mlcomponents/predictionhandlers/objdetpredictionhandler.py

@@ -29,14 +29,15 @@
 class ObjDetPredictionHandler(PredictionHandler):
     """Prediction handler for object detection predictions (BoundingBox, class prediction)"""
 
-    def __init__(  # pylint: disable=too-many-arguments
+    def __init__(  # noqa: PLR0913
         self,
         prediction_filter: PredictionFilter,
         prediction_prefix: str = "pred",
         pred_identifier: str = "image_location",
         detection_idx_col: str = DETECTION_INDEX_COLUMN_NAME,
         apply_sigmoid: bool = True,
     ):
+        """Initializes the ObjDetPredictionHandler"""
         super().__init__()
         self.prediction_filter = prediction_filter
         self.prediction_prefix = prediction_prefix
@@ -52,6 +53,7 @@ def __init__(  # pylint: disable=too-many-arguments
         self.anchor_array = None
 
     def initialize(self):
+        """Initializes the prediction handler"""
         self.anchors: List[BoundingBox] = self.anchor_generator.generate_anchors(
             data_description=self.data_description
         )

pyproject.toml

@@ -44,7 +44,7 @@ click = "^8.1.3"
 opencv-python = "^4.7.0.72"
 cython = "^0.29.34"
 pyyaml = "^6.0"
-pillow = "10.1.0"
+pillow = "^10.1.0"
 fastparquet = "^2023.2.0"
 hydra-core = "^1.3.2"
 pympler = "^1.0.1"
@@ -68,7 +68,7 @@ protobuf = "^3.0.0"
 
 altair = {version = "^4.2.2", optional = true}
 tensorflow-macos = { version = "~2.12", optional = true}
-streamlit = "1.28.2"
+streamlit = {version = "^1.28.0", optional = true}
 tensorflow = {version = "~2.12", optional = true}
 tensorflow-metal = {version = "~1.0", optional = true}
 requests = "^2.31.0"