methods/two_to_one_methods.py

@@ -1,12 +0,0 @@
-from skimage.exposure import match_histograms
-import numpy as np
-from PIL import Image
-
-
-def histogram_matching(img1, img2):
-    return Image.fromarray(match_histograms(img1, img2, channel_axis=-1))
-
-
-methods_funcs = {"Histogram matching": histogram_matching}
-
-methods = list(methods_funcs.keys())

processing/stacking.py

@@ -1,4 +1,6 @@
-from methods.stack_methods import methods_funcs
+from methods.stack_methods import (
+    methods_funcs,
+)
 import os
 from processing.utils import generate_name
 

processing/two_to_one.py

@@ -1,10 +0,0 @@
-from methods.two_to_one_methods import methods_funcs
-from processing.utils import generate_name
-
-
-def two_to_one(img1, img2, method):
-    img = methods_funcs[method](img1, img2)
-    out_path = generate_name(subfolder="two_to_one")
-    img.save(out_path)
-
-    return [out_path]

tabs/Two images to one/app.py

@@ -1,17 +0,0 @@
-import gradio as gr
-from processing.two_to_one import two_to_one
-from methods.two_to_one_methods import methods
-
-with gr.Blocks() as app:
-    gr.Markdown("Get one image from two.")
-    with gr.Row():
-        with gr.Column():
-            img1 = gr.Image()
-            img2 = gr.Image()
-            method = gr.Dropdown(choices=methods, value=methods[0], label="Method")
-            submit = gr.Button("Submit")
-
-        with gr.Column():
-            output = gr.Gallery()
-
-        submit.click(two_to_one, inputs=[img1, img2, method], outputs=[output])

tabs/__init__.py

@@ -1,7 +1 @@
-tabs = [
+tabs = ["Stacking", "Bulk processing", "Images to video", "Video to images"]
-    "Stacking",
-    "Bulk processing",
-    "Two images to one",
-    "Images to video",
-    "Video to images",
-]