Commit
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0dd565d
1
Parent(s):
f89a787
Update app.py
Browse files
app.py
CHANGED
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@@ -4,7 +4,7 @@ import matplotlib.colors as mcolors
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import cv2
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import gradio as gr
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from channel_functions import individual_channel_image, channel_distribution_plotter, which_channel_dominates
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description1 = '''This tab shows which channel dominates which part of an image\n
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Upload an image or drag an online image to the upload section. Bring it to the rectangular area. Release it when the border becomes red'''
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@@ -12,6 +12,9 @@ original_image_plot = gr.Radio(['yes','no'], label = "Do you want the original i
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original_image_opacity = gr.Slider(0,1, value = 0.3, label = "Opacity of the original image")
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channel_opacity = gr.Slider(0,1, value = 0.7, label = "Opacity of the output channel-domination image")
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iface1 = gr.Interface(
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fn = which_channel_dominates,
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inputs = [gr.Image(), original_image_plot, original_image_opacity, channel_opacity],
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@@ -28,7 +31,13 @@ iface2 = gr.Interface(
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description = 'Something random'
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)
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combinedInterface = gr.TabbedInterface([iface1, iface2],['Channel domination', 'Channel distribution'])
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combinedInterface.launch(share=False)
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import cv2
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import gradio as gr
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from channel_functions import individual_channel_image_final, individual_channel_image, channel_distribution_plotter, which_channel_dominates
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description1 = '''This tab shows which channel dominates which part of an image\n
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Upload an image or drag an online image to the upload section. Bring it to the rectangular area. Release it when the border becomes red'''
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original_image_opacity = gr.Slider(0,1, value = 0.3, label = "Opacity of the original image")
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channel_opacity = gr.Slider(0,1, value = 0.7, label = "Opacity of the output channel-domination image")
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individual_channel_choice = gr.Radio(['Red','Green','Blue', 'All'], label = 'Which channel do you want to see the image in?')
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iface1 = gr.Interface(
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fn = which_channel_dominates,
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inputs = [gr.Image(), original_image_plot, original_image_opacity, channel_opacity],
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description = 'Something random'
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)
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iface3 = gr.Interface(
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fn = individual_channel_image_final,
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inputs = [gr.Image(), individual_channel_choice],
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outputs = "image" ,
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title = "Images in individual channels",
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description = "Something random"
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)
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combinedInterface = gr.TabbedInterface([iface1, iface2, iface3],['Channel domination', 'Channel distribution', "Individual channel"])
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combinedInterface.launch(share=False)
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