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download_imgs.py

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+
+import requests
+from tqdm import tqdm
+with open("preprocess_CustomConcept101/webset.html",'r') as f:
+    lines = f.readlines()
+
+lines = [l.strip().strip('\n') for l in lines]
+img_urls = []
+for line in lines:
+    if "images/benchmark/" in line:
+        if ("images/benchmark/custom_diffusion" in line) or ("images/benchmark/dreambooth" in line) or ("images/benchmark/ti_" in line):
+            continue
+        s = line.find("images/benchmark/")
+        e = line.find(".jpg")
+        # https://www.cs.cmu.edu/~custom-diffusion/images/benchmark/actionfigure_1.jpg
+        url = "https://www.cs.cmu.edu/~custom-diffusion/" + line[s:e] + ".jpg"
+        img_urls.append(url)
+        if len(img_urls) < 10:
+            print(url)
+print(len(img_urls))
+
+save_dir = "preprocess_CustomConcept101/tiled_imgs_per_concept/"
+for img_url in tqdm(img_urls):
+    filename = img_url.split('/')[-1]
+    img_data = requests.get(img_url).content
+    with open(save_dir+filename, 'wb') as handler:
+        handler.write(img_data)

split_tiled_imgs.py

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+from PIL import Image
+import os
+from tqdm import tqdm
+
+def split_and_save_tiled_image(image_path,global_idx,class_name,save_dir):
+    # Open the image
+    img = Image.open(image_path)
+
+    # Get the dimensions of the tiled image
+    width, height = img.size
+    assert height == 256
+    assert width % 256 == 0
+
+    tile_width = 256
+    num_tiles = width // tile_width
+
+    # Iterate through each tile
+    for i in range(num_tiles):
+        # Calculate the starting and ending x-coordinates for the tile
+        start_x = i * tile_width
+        end_x = start_x + tile_width
+
+        # Crop the tile from the original image
+        tile = img.crop((start_x, 0, end_x, height))
+
+        # Save the tile with its index as filename
+        filename = f"{global_idx}.{i}.{num_tiles}.{class_name}.jpg"  # # id.n.N.ClassName.jpg
+        tile.save(os.path.join(save_dir,filename))  # You can choose the desired image format
+        global_idx += 1
+    return global_idx
+
+
+
+
+if __name__ == "__main__":
+    # id.n.N.ClassName.jpg
+    load_dir = "preprocess_CustomConcept101/tiled_imgs_per_concept"
+    save_dir = "preprocess_CustomConcept101/splited_imgs"
+
+    filenames = sorted(os.listdir(load_dir))
+    global_idx = 0
+    for filename in tqdm(filenames):
+        img_path = os.path.join(load_dir,filename)
+        class_name = filename.split('.')[0].split('_')[0] # filename can be "jacket1" or "person_1" or "lighthouse"
+        class_name = [c for c in class_name if c not in "0123456789"]
+        class_name = "".join(class_name)
+        # print(class_name)
+        global_idx = split_and_save_tiled_image(img_path,global_idx,class_name,save_dir)
+