Initial commit

.gitignore

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+.idea/

README.md

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 ---
-title: GaussianHighPassFilter
+title: High Pass Filter for Images 
 emoji: 🔥
 colorFrom: purple
 colorTo: blue

app.py

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+"""
+
+    PROJECT: GaussianHighPassFilter
+    FILENAME: app.py
+    AUTHOR: David NAISSE
+    DATE: August 22, 2022
+
+    DESCRIPTION: App script.
+    
+"""
+
+import numpy as np
+import streamlit as st
+from PIL import Image
+from scipy import ndimage
+
+# Page config
+st.set_page_config(layout="centered")
+st.title("High Pass Filter for Images")
+st.write('High pass filter applied to images. ')
+
+left, right = st.columns([3, 2])
+
+# Uploader
+img_or_video = left.file_uploader("Upload an image or video: ", type=['.jpg', '.png', '.jpeg'])
+
+# Display example selection
+size = int(right.number_input('Filter size (ex: 3x3): ', min_value=3, max_value=500, value=3, help='Filter size. '))
+
+# Init. empty texts
+filter_text = right.empty()
+size_text = right.empty()
+
+# When a file is uploaded
+if img_or_video:
+    original = Image.open(img_or_video)
+    image = np.array(original)
+    gray = np.array(original.convert('L'))
+
+    # Apply high pass
+    lowpass = ndimage.gaussian_filter(gray, size)
+    gauss_highpass = gray - lowpass
+
+    # Display original
+    st.image(gauss_highpass, caption='High Pass')
+
+    # Update elements
+    filter_text.write(f'Using filter of size {size}x{size}. ')
+    size_text.write(f'Image size: {gauss_highpass.shape}')
+
+    # Split UI in 2
+    left2, right2 = st.columns([5, 5])
+
+    # Display img
+    left2.image(image, caption='Original')
+    right2.image(lowpass, caption='Low Pass')

requirements.txt

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+streamlit==1.12.0
+numpy==1.23.2
+Pillow==9.2.0
+scipy==1.9.0