updated notebook

data/train_set/.task_statistics.npz

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8f601e71980200cacfc43a1b3ed5d7d932b538b8cf94d569d74911a0d3604b54
-size 28542
+oid sha256:7f06911591fb45c4584e1fa8fcc099637d76cf6fac663a8400f6d76a2ac6ff97
+size 29921

dronescapes_reader/multitask_dataset.py

@@ -100,7 +100,6 @@ class MultiTaskDataset(Dataset):
         self._data_shape: tuple[int, ...] | None = None
         self._tasks: list[NpzRepresentation] | None = None
         self._default_vals: dict[str, tr.Tensor] | None = None
-        self._name_to_task: dict[str, NpzRepresentation] | None = None
         if statistics is not None:
             self._statistics = self._load_external_statistics(statistics)
         else:
@@ -116,9 +115,7 @@ class MultiTaskDataset(Dataset):
 
     @property
     def name_to_task(self) -> dict[str, NpzRepresentation]:
-        if self._name_to_task is None:
-            self._name_to_task = {task.name: task for task in self.tasks}
-        return self._name_to_task
+        return {task.name: task for task in self.tasks}
 
     @property
     def default_vals(self) -> dict[str, tr.Tensor]:
@@ -195,6 +192,24 @@ class MultiTaskDataset(Dataset):
                     raise e
         return res, items_name, self.task_names
 
+    def add_task(self, task: NpzRepresentation):
+        """Safely adds a task to this reader. Most likely can be optimized"""
+        logger.debug(f"Adding a new task: '{task.name}'")
+        assert task.name not in self.task_names, f"Task '{task.name}' already exists: {self.task_names}"
+        self.task_names = sorted([*self.task_names, task.name])
+        self.task_types[task.name] = task
+        self._tasks = None
+        self.files_per_repr, self.file_names = self._build_dataset(self.task_types, self.task_names)
+
+    def remove_task(self, task_name: str):
+        """Safely removes a task from this reader"""
+        logger.debug(f"Removing a task: '{task_name}'")
+        assert task_name in self.task_names, f"Task '{task_name}' doesn't exist: {self.task_names}"
+        self.task_names = sorted(name for name in self.task_names if name != task_name)
+        del self.task_types[task_name]
+        self._tasks = None
+        self.files_per_repr, self.file_names = self._build_dataset(self.task_types, self.task_names)
+
     # Private methods
 
     def _get_all_npz_files(self) -> dict[str, list[Path]]:
@@ -341,8 +356,11 @@ class MultiTaskDataset(Dataset):
         for task_name in self.task_names:
             task = [t for t in self.tasks if t.name == task_name][0]
             file_path = self.files_per_repr[task_name][index]
-            file_path = None if file_path is None or not (fpr := file_path.resolve()).exists() else fpr
-            res[task_name] = task.load_from_disk(file_path) if file_path is not None else self.default_vals[task_name]
+            if file_path is None:
+                # TODO: I had a .resolve() and .exists() here? WTF? To fix in _build_dataset() maybe.
+                res[task_name] = self.default_vals[task_name]
+            else:
+                res[task_name] = task.load_from_disk(file_path)
             if not task.is_classification:
                 if self.normalization is not None and self.normalization[task_name] == "min_max":
                     res[task_name] = task.normalize(res[task_name])