append filters

app.py

@@ -6,6 +6,7 @@ import kornia as K
 from kornia.core import Tensor
 
 
+# Define Functions
 def box_blur_fn(file, box_blur):      
     # load the image using the rust backend          
     img: Tensor = K.io.load_image(file.name, K.io.ImageLoadType.RGB32)
@@ -15,6 +16,7 @@ def box_blur_fn(file, box_blur):
     
     return K.utils.tensor_to_image(x_out)
 
+
 def blur_pool2d_fn(file, blur_pool2d):      
     # load the image using the rust backend          
     img: Tensor = K.io.load_image(file.name, K.io.ImageLoadType.RGB32)
@@ -24,6 +26,7 @@ def blur_pool2d_fn(file, blur_pool2d):
     
     return K.utils.tensor_to_image(x_out)
 
+
 def gaussian_blur_fn(file, gaussian_blur2d):      
     # load the image using the rust backend          
     img: Tensor = K.io.load_image(file.name, K.io.ImageLoadType.RGB32)
@@ -36,17 +39,39 @@ def gaussian_blur_fn(file, gaussian_blur2d):
     return K.utils.tensor_to_image(x_out)
 
 
+def max_blur_pool2d_fn(file, max_blur_pool2d):
+    # load the image using the rust backend          
+    img: Tensor = K.io.load_image(file.name, K.io.ImageLoadType.RGB32)
+    img = img[None]  # 1xCxHxW / fp32 / [0, 1]
+
+    x_out: Tensor = K.filters.max_blur_pool2d(img, int(max_blur_pool2d))
+    
+    return K.utils.tensor_to_image(x_out)
+
+
+def median_blur_fn(file, median_blur):      
+    # load the image using the rust backend          
+    img: Tensor = K.io.load_image(file.name, K.io.ImageLoadType.RGB32)
+    img = img[None]  # 1xCxHxW / fp32 / [0, 1]
+
+    x_out: Tensor = K.filters.median_blur(img, (int(median_blur), int(median_blur)))
+
+    return K.utils.tensor_to_image(x_out)
+
 
+# Define Examples
 examples = [
     ["examples/monkey.jpg", 1, 1, 1, 1, 1],
     ["examples/pikachu.jpg", 1, 1, 1, 1, 1],
 ]
 
-box_blur_fn_demo = gr.Interface(
+
+# Define Demos
+box_blur_demo = gr.Interface(
     box_blur_fn,
     [
         gr.inputs.Image(type="file"),
-        gr.inputs.Slider(minimum=1, maximum=10, step=1, default=1, label="Box Blur"),
+        gr.inputs.Slider(minimum=1, maximum=10, step=1, default=1, label="Box Blur")
     ],
     "image",
     examples=examples,
@@ -56,11 +81,12 @@ box_blur_fn_demo = gr.Interface(
     live=True
 )
 
-blur_pool2d_fn_demo = gr.Interface(
+
+blur_pool2d_demo = gr.Interface(
     blur_pool2d_fn,
     [
         gr.inputs.Image(type="file"),
-        gr.inputs.Slider(minimum=1, maximum=10, step=1, default=1, label="Blur Pool"),
+        gr.inputs.Slider(minimum=1, maximum=20, step=1, default=1, label="Blur Pool")
     ],
     "image",
     examples=examples,
@@ -70,7 +96,8 @@ blur_pool2d_fn_demo = gr.Interface(
     live=True
 )
 
-gaussian_blur_fn_demo = gr.Interface(
+
+gaussian_blur_demo = gr.Interface(
     gaussian_blur_fn,
     [
         gr.inputs.Image(type="file"),
@@ -84,15 +111,51 @@ gaussian_blur_fn_demo = gr.Interface(
     live=True
 )
 
+
+max_blur_pool2d_demo = gr.Interface(
+    max_blur_pool2d_fn,
+    [
+        gr.inputs.Image(type="file"),
+        gr.inputs.Slider(minimum=1, maximum=20, step=1, default=1, label="Max Pool")
+    ],
+    "image",
+    examples=examples,
+    # title=title,
+    # description=description,
+    # article=article,
+    live=True
+)
+
+median_blur_demo = gr.Interface(
+    median_blur_fn,
+    [
+        gr.inputs.Image(type="file"),
+        gr.inputs.Slider(minimum=1, maximum=5, step=2, default=1, label="Median Blur")
+    ],
+    "image",
+    examples=examples,
+    # title=title,
+    # description=description,
+    # article=article,
+    live=True
+)
+
+
+# Create Interface
 demo = gr.TabbedInterface(
     [
-      box_blur_fn_demo,
-      blur_pool2d_fn_demo,
-      gaussian_blur_fn_demo
+      box_blur_demo,
+      blur_pool2d_demo,
+      gaussian_blur_demo,
+      max_blur_pool2d_demo,
+      median_blur_demo
     ], 
     [
       "Box Blur", 
-      "Blur Pool"
+      "Blur Pool",
+      "Gaussian Blur",
+      "Max Pool",
+      "Median Blur"
     ]
 )