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{
"cells": [
{
"cell_type": "markdown",
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"## Check for Transparency\n",
"----\n",
"\n",
"The Python script recursively traverses a specified directory, identifying image files with extensions `.jpg`, `.jpeg`, and `.png`. For each identified image, it checks if it contains transparency by examining its mode with PIL."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"No transparent images in your dataset!\n"
]
}
],
"source": [
"import os\n",
"from PIL import Image\n",
"\n",
"def check_transparency(image_path):\n",
" try:\n",
" image = Image.open(image_path)\n",
" if image.mode == 'RGBA':\n",
" return True\n",
" except Exception as e:\n",
" print(f\"Error processing {image_path}: {e}\")\n",
" return False\n",
"\n",
"def main():\n",
" directory = r'C:\\Users\\kade\\Desktop\\training_dir_staging'\n",
" transparent_images = []\n",
"\n",
" for root, _, 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",
" if check_transparency(file_path):\n",
" transparent_images.append(file_path)\n",
"\n",
" if transparent_images:\n",
" print(\"Images with transparency:\")\n",
" for img in transparent_images:\n",
" print(img)\n",
" else:\n",
" print(\"No transparent images in your dataset!\")\n",
"\n",
"if __name__ == \"__main__\":\n",
" main()"
]
}
],
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