perf: auto generated list of methods

methods/bulk_methods.py

@@ -2,8 +2,6 @@ from PIL import Image, ImageFilter
 from skimage import feature
 import numpy as np
 
-methods = ["Sharpen", "Edge detection", "Canny edge detection"]
-
 
 def edge(file_name):
     image = Image.open(file_name)
@@ -31,3 +29,5 @@ methods_funcs = {
     "Edge detection": edge,
     "Canny edge detection": canny_edge,
 }
+
+methods = list(methods_funcs.keys())

methods/stack_methods.py

@@ -2,8 +2,6 @@ from PIL import Image, ImageChops
 from tqdm import tqdm
 import numpy as np
 
-methods = ["Denoise", "StarTracks", "Noise extractor", "Untrack"]
-
 
 def denoise(files):
     images = [np.asarray(Image.open(file)) for file in tqdm(files)]
@@ -46,3 +44,5 @@ methods_funcs = {
     "Noise extractor": noise_extractor,
     "Untrack": untrack,
 }
+
+methods = list(methods_funcs.keys())

tabs/Bulk processing/app.py

@@ -3,9 +3,7 @@ from processing.bulk import bulk_processing
 from methods.bulk_methods import methods
 
 with gr.Blocks() as app:
-    gr.Markdown(
-        "Mass processing of images one at a time and saving to video if needed.   # **WIP, not working**"
-    )
+    gr.Markdown("Mass processing of images one at a time.")
     with gr.Row():
         with gr.Column():
             directory = gr.Text(