Initial commit

README.md

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+---
+title: Image Processing
+emoji: 🏃
+colorFrom: green
+colorTo: purple
+sdk: streamlit
+sdk_version: 1.42.2
+app_file: app.py
+pinned: false
+---

app.py

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+import streamlit as st
+import cv2
+import numpy as np
+from PIL import Image
+
+def process_image(image, operation, rotation_angle=0, blur_value=5):
+    img_array = np.array(image)
+    img_cv = cv2.cvtColor(img_array, cv2.COLOR_RGB2BGR)
+    
+    if operation == "Greyscale":
+        processed_img = cv2.cvtColor(img_cv, cv2.COLOR_BGR2GRAY)
+    elif operation == "Rotate":
+        (h, w) = img_cv.shape[:2]
+        center = (w // 2, h // 2)
+        M = cv2.getRotationMatrix2D(center, rotation_angle, 1.0)
+        processed_img = cv2.warpAffine(img_cv, M, (w, h))
+    elif operation == "Edge Detection":
+        processed_img = cv2.Canny(img_cv, 100, 200)
+    elif operation == "Blur":
+        processed_img = cv2.GaussianBlur(img_cv, (blur_value, blur_value), 0)
+    else:
+        processed_img = img_cv
+    
+    return processed_img
+
+def main():
+    st.title("Image Processing App")
+    uploaded_image = st.file_uploader("Upload an image", type=["jpg", "png", "jpeg"])
+    
+    if uploaded_image is not None:
+        image = Image.open(uploaded_image)
+        st.image(image, caption="Original Image", use_container_width=True)
+        
+        operation = st.selectbox("Select an operation", ["None", "Greyscale", "Rotate", "Edge Detection", "Blur"])
+        
+        rotation_angle = 0
+        blur_value = 5
+        
+        if operation == "Rotate":
+            rotation_angle = st.slider("Select Rotation Angle", -180, 180, 0)
+        elif operation == "Blur":
+            blur_value = st.slider("Select Blur Intensity", 1, 25, 5, step=2)
+        
+        if operation != "None":
+            processed_img = process_image(image, operation, rotation_angle, blur_value)
+            st.image(processed_img, caption="Processed Image", use_container_width=True, channels="GRAY" if operation == "Greyscale" or operation == "Edge Detection" else "BGR")
+
+if __name__ == "__main__":
+    main()

requirements.txt

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+streamlit
+opencv-python
+numpy
+pillow