Update Jupyter notebook

Signed-off-by: M Q <mingmelvinq@nvidia.com>

Author: MMelQin

examples/apps/simple_imaging_app/app.py

@@ -52,7 +52,7 @@ def compose(self):
         # and the others as kwargs.
         # Also note the CountCondition of 1 on the first operator, indicating to the application executor
         # to invoke this operator, hence the pipleline, only once.
-        sobel_op = SobelOperator(self, CountCondition(self, 1), input_folder=sample_data_path, name="sobel_op")
+        sobel_op = SobelOperator(self, CountCondition(self, 1), input_path=sample_data_path, name="sobel_op")
         median_op = MedianOperator(self, name="median_op")
         gaussian_op = GaussianOperator(self, output_folder=output_data_path, name="gaussian_op")
         self.add_flow(

examples/apps/simple_imaging_app/sobel_operator.py

@@ -29,20 +29,18 @@ class SobelOperator(Operator):
 
     DEFAULT_INPUT_FOLDER = Path.cwd() / "input"
 
-    def __init__(self, fragment: Fragment, *args, input_folder: Path, **kwargs):
+    def __init__(self, fragment: Fragment, *args, input_path: Path, **kwargs):
         """Create an instance to be part of the given application (fragment).
 
         Args:
             fragment (Fragment): An instance of the Application class which is derived from Fragment
-            input_folder (Path): The folder to read the image file from
+            input_path (Path): The path of the input image file or folder containing the image file
         """
         self.index = 0
 
         # May want to validate the path, but it should really be validated when the compute function is called, also,
         # when file path as input is supported in the operator or execution context, input_folder needs not an attribute.
-        self.input_folder = (
-            input_folder if (input_folder and input_folder.is_dir()) else SobelOperator.DEFAULT_INPUT_FOLDER
-        )
+        self.input_path = input_path if input_path else SobelOperator.DEFAULT_INPUT_FOLDER
 
         # Need to call the base class constructor last
         super().__init__(fragment, *args, **kwargs)
@@ -59,12 +57,12 @@ def compute(self, op_input, op_output, context):
         # Ideally the op_input or execution context should provide the file path
         # to read data from, for operators that are file input based.
         # For now, use a temporary way to get input path. e.g. value set on init
-        input_folder = self.input_folder
-        print(f"Input from: {input_folder}, whose absolute path: {input_folder.absolute()}")
-        if input_folder.is_dir():
-            input_file = next(input_folder.glob("*.*"))  # take the first file
+        input_path = self.input_path
+        print(f"Input from: {input_path}, whose absolute path: {input_path.absolute()}")
+        if input_path.is_dir():
+            input_path = next(input_path.glob("*.*"))  # take the first file
 
-        data_in = io.imread(input_file)[:, :, :3]  # discard alpha channel if exists
+        data_in = io.imread(input_path)[:, :, :3]  # discard alpha channel if exists
         data_out = filters.sobel(data_in)
 
         op_output.emit(data_out, "out1")