fix text

Author: Phạm Băng Đăng

change.py

@@ -0,0 +1,27 @@
+import os
+from PIL import Image
+
+def convert_images_to_jpeg(image_folder):
+    # Create an output folder if it does not exist
+    output_folder = os.path.join(image_folder, 'jpeg_converted')
+    if not os.path.exists(output_folder):
+        os.makedirs(output_folder)
+
+    # Loop through all files in the image folder
+    for filename in os.listdir(image_folder):
+        if filename.lower().endswith(('.png', '.jpg', '.jpeg', '.bmp', '.gif', '.tiff')):
+            # Open an image file
+            img_path = os.path.join(image_folder, filename)
+            with Image.open(img_path) as img:
+                # Convert image to RGB mode if it's not already
+                img = img.convert('RGB')
+                
+                # Save the image as JPEG
+                base_filename = os.path.splitext(filename)[0]
+                jpeg_path = os.path.join(output_folder, f"{base_filename}.jpeg")
+                img.save(jpeg_path, 'JPEG')
+
+# Specify the folder containing images
+image_folder = 'img'
+
+convert_images_to_jpeg(image_folder)

img/jpeg_converted/B2B_Pipeline.jpeg

@@ -946,7 +946,7 @@ <h3 class="title has-text-centered">Blur2Blur Pipeline</h3>
             This translator is trained using <span style="color: rgb(253, 127, 2);"><b>reconstruction</b></span> and <span style="color: purple;"><b>adversarial</b></span> losses. The converted images have known blur and can be successfully deblurred using the previously trained deblurring model.
           </p>
           <div style="text-align: center;">
-            <img id="method_pipeline" width="95%" height="auto" src="./img/B2B_Pipeline.jpg" alt="B2B_Pipeline"/>
+            <img id="method_pipeline" width="95%" height="auto" src="./img/jpeg_converted/B2B_Pipeline.jpeg" alt="B2B_Pipeline"/>
           </div>
         </div>
       </div>