Upload add_sticker_to_image.ipynb

add_sticker_to_image.ipynb

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+{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"authorship_tag":"ABX9TyMnZIwfKMowrPbPmwQ2wH4J"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","metadata":{"id":"0d239ba9"},"source":["from google.colab import drive\n","drive.mount('/content/drive')"],"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# @title Image Overlay Processor - Larger & Closer to Bottom\n","from google.colab import drive, files\n","import zipfile\n","import os\n","import random\n","import shutil\n","from PIL import Image, ImageOps\n","import numpy as np\n","import glob\n","\n","drive.mount('/content/drive')\n","\n","# @markdown ---\n","images_to_edit_zip = \"/content/drive/MyDrive/to_addcolor.zip\"  # @param {type:\"string\"}\n","transparent_images_zip = \"/content/drive/MyDrive/color_transparent_images.zip\"  # @param {type:\"string\"}\n","\n","output_folder_name = \"addcolor\"  # @param {type:\"string\"}\n","\n","# Directories\n","base_dir = \"/content/image_processor\"\n","edit_dir = os.path.join(base_dir, \"to_edit\")\n","overlay_dir = os.path.join(base_dir, \"overlays\")\n","output_dir = os.path.join(base_dir, \"output\")\n","\n","for d in [edit_dir, overlay_dir, output_dir]:\n","    os.makedirs(d, exist_ok=True)\n","\n","print(\"Unpacking ZIPs...\")\n","with zipfile.ZipFile(images_to_edit_zip, 'r') as z: z.extractall(edit_dir)\n","with zipfile.ZipFile(transparent_images_zip, 'r') as z: z.extractall(overlay_dir)\n","\n","edit_images = sorted([f for f in glob.glob(os.path.join(edit_dir, \"**\", \"*.*\"), recursive=True)\n","                     if f.lower().endswith(('.png', '.jpg', '.jpeg', '.webp'))])\n","\n","overlay_images = [f for f in glob.glob(os.path.join(overlay_dir, \"**\", \"*.*\"), recursive=True)\n","                 if f.lower().endswith('.png')]\n","\n","print(f\"Found {len(edit_images)} images | {len(overlay_images)} overlays.\\n\")\n","\n","random.shuffle(overlay_images)\n","overlay_index = 0\n","\n","def count_dark_gray(image_path, side_width=100):\n","    \"\"\"Return side (left/right) with more #181818 pixels\"\"\"\n","    try:\n","        img = Image.open(image_path).convert(\"RGB\")\n","        data = np.array(img)\n","\n","        h, w = data.shape[:2]\n","        strip_w = min(side_width, w // 4)\n","\n","        # Left side\n","        left = data[:, :strip_w]\n","        left_dark = np.sum(np.all(np.abs(left - 24) <= 30, axis=2))\n","\n","        # Right side\n","        right = data[:, -strip_w:]\n","        right_dark = np.sum(np.all(np.abs(right - 24) <= 30, axis=2))\n","\n","        if right_dark > left_dark:\n","            return \"right\", right_dark\n","        else:\n","            return \"left\", left_dark\n","\n","    except Exception as e:\n","        print(f\"Error detecting bias {os.path.basename(image_path)}: {e}\")\n","        return \"left\", 0\n","\n","def overlay_image(base_path, overlay_path, output_path):\n","    try:\n","        base = Image.open(base_path).convert(\"RGBA\")\n","        overlay_orig = Image.open(overlay_path).convert(\"RGBA\")\n","\n","        w, h = base.size\n","        side, _ = count_dark_gray(base_path)\n","\n","        # ================== BIGGER & CLOSER TO BOTTOM ==================\n","        max_overlay_w = int(w * 0.82)   # Increased size\n","        max_overlay_h = int(h * 0.86)   # Increased size\n","\n","        overlay = ImageOps.contain(overlay_orig, (max_overlay_w, max_overlay_h))\n","        ow, oh = overlay.size\n","\n","        # Very close to bottom\n","        margin_bottom = int(h * 0.018)   # Much smaller margin\n","        y = h - oh - margin_bottom\n","\n","        if side == \"left\":\n","            x = int(w * 0.04)\n","        else:\n","            x = w - ow - int(w * 0.04)\n","\n","        base.paste(overlay, (x, y), overlay)\n","        base.save(output_path, \"PNG\")\n","        return True\n","\n","    except Exception as e:\n","        print(f\"Overlay failed on {os.path.basename(base_path)} → {e}\")\n","        shutil.copy(base_path, output_path)\n","        return False\n","\n","# ====================== PROCESSING ======================\n","print(\"Processing images...\\n\")\n","\n","for i, edit_path in enumerate(edit_images):\n","    print(f\"Processing {i+1}/{len(edit_images)}: {os.path.basename(edit_path)}\")\n","\n","    if overlay_index >= len(overlay_images):\n","        overlay_index = 0\n","        random.shuffle(overlay_images)\n","\n","    overlay_path = overlay_images[overlay_index]\n","    overlay_index += 1\n","\n","    output_name = os.path.splitext(os.path.basename(edit_path))[0] + \".png\"\n","    output_path = os.path.join(output_dir, output_name)\n","\n","    overlay_image(edit_path, overlay_path, output_path)\n","\n","# Create output ZIP\n","output_zip = f\"/content/{output_folder_name}.zip\"\n","with zipfile.ZipFile(output_zip, 'w') as z:\n","    for root, _, fs in os.walk(output_dir):\n","        for f in fs:\n","            z.write(os.path.join(root, f), os.path.relpath(os.path.join(root, f), output_dir))\n","\n","print(f\"\\n✅ Finished! Output ZIP: {output_zip}\")\n","#files.download(output_zip)"],"metadata":{"id":"famTxt34GWEc"},"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"cellView":"form","id":"02fcbb08"},"source":["#@markdown #Save results to drive\n","import shutil\n","\n","# Define the destination path in Google Drive\n","drive_output_path = f\"/content/drive/MyDrive/{output_folder_name}.zip\"\n","\n","# Move the generated ZIP file to Google Drive\n","shutil.move(output_zip, drive_output_path)\n","\n","print(f\"\\n✅ ZIP file moved to Google Drive: {drive_output_path}\")"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"75027cc1","cellView":"form"},"source":["#@title Auto Disconnect Runtime upon code completion\n","disconnect_runtime = False #@param {type:'boolean'}\n","\n","if disconnect_runtime:\n","  from google.colab import runtime\n","  runtime.unassign()"],"execution_count":null,"outputs":[]}]}