feat: histogram matching

methods/two_to_one_methods.py

@@ -0,0 +1,12 @@
+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

@@ -1,6 +1,4 @@
-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

@@ -0,0 +1,10 @@
+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

@@ -0,0 +1,17 @@
+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 +1,7 @@
-tabs = ["Stacking", "Bulk processing", "Images to video", "Video to images"]
+tabs = [
+    "Stacking",
+    "Bulk processing",
+    "Two images to one",
+    "Images to video",
+    "Video to images",
+]