awoo

Signed-off-by: Balazs Horvath <acsipont@gmail.com>

dataset_tools/Create Empty caption Files for Images.ipynb

@@ -11,6 +11,17 @@
      "text": [
       "Caption files created successfully.\n"
      ]
+    },
+    {
+     "ename": "",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31mThe Kernel crashed while executing code in the current cell or a previous cell. \n",
+      "\u001b[1;31mPlease review the code in the cell(s) to identify a possible cause of the failure. \n",
+      "\u001b[1;31mClick <a href='https://aka.ms/vscodeJupyterKernelCrash'>here</a> for more info. \n",
+      "\u001b[1;31mView Jupyter <a href='command:jupyter.viewOutput'>log</a> for further details."
+     ]
     }
    ],
    "source": [

dataset_tools/Remove Commas from Caption Files.ipynb

@@ -74,6 +74,17 @@
       "Removed commas from C:\\Users\\kade\\Desktop\\training_dir_staging\\1_wickerbeast\\f43c0d4787a957096e96a253c3f88f99.caption\n",
       "Removed commas from C:\\Users\\kade\\Desktop\\training_dir_staging\\1_wickerbeast\\f6d85112d49064be65f1e5a2da898ee5.caption\n"
      ]
+    },
+    {
+     "ename": "",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31mThe Kernel crashed while executing code in the current cell or a previous cell. \n",
+      "\u001b[1;31mPlease review the code in the cell(s) to identify a possible cause of the failure. \n",
+      "\u001b[1;31mClick <a href='https://aka.ms/vscodeJupyterKernelCrash'>here</a> for more info. \n",
+      "\u001b[1;31mView Jupyter <a href='command:jupyter.viewOutput'>log</a> for further details."
+     ]
     }
    ],
    "source": [

dataset_tools/Search for Transparent Images.ipynb

@@ -0,0 +1,61 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "from PIL import Image\n",
+    "\n",
+    "# Disable image resolution limit.\n",
+    "Image.MAX_IMAGE_PIXELS = None\n",
+    "\n",
+    "def find_images_with_transparency(directory):\n",
+    "    transparent_images = []\n",
+    "\n",
+    "    for root, dirs, files in os.walk(directory):\n",
+    "        for file in files:\n",
+    "            if file.lower().endswith(('.jpg', '.jpeg', '.png')):\n",
+    "                file_path = os.path.join(root, file)\n",
+    "                try:\n",
+    "                    with Image.open(file_path) as img:\n",
+    "                        if img.mode in ('RGBA', 'LA') or (img.mode == 'P' and 'transparency' in img.info):\n",
+    "                            transparent_images.append(os.path.normpath(file_path))\n",
+    "                except Exception as e:\n",
+    "                    print(f\"Error processing {file_path}: {e}\")\n",
+    "\n",
+    "    return transparent_images\n",
+    "\n",
+    "if __name__ == \"__main__\":\n",
+    "    directory = r'E:\\training_dir'\n",
+    "    transparent_images = find_images_with_transparency(directory)\n",
+    "    print(\"Images with transparency:\")\n",
+    "    for img_path in transparent_images:\n",
+    "        print(img_path)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}