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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"id": "5638b0d1",
"metadata": {
"id": "5638b0d1"
},
"outputs": [],
"source": [
"!pip install exifread"
]
},
{
"cell_type": "markdown",
"source": [
"# Extracting GPS Information from Images\n",
"\n",
"(You will need to modify this script based on how your dataset is stored in order to execute the code.).\n"
],
"metadata": {
"id": "yT4UQMosNN02"
},
"id": "yT4UQMosNN02"
},
{
"cell_type": "code",
"source": [
"import os\n",
"\n",
"# train_or_test_or_validation could be either train, test, or validation.\n",
"train_or_test_or_validation = \"train\" # it could also be test or validation\n",
"PATH_TO_YOUR_DATA_FOLDER = \"{PATH TO YOUR DATA FOLDER}\"\n",
"directory_path = f\"{PATH_TO_YOUR_DATA_FOLDER}/{train_or_test_or_validation}\"\n",
"output_csv = \"metadata.csv\"\n",
"output_csv = os.path.join(directory_path, output_csv)"
],
"metadata": {
"id": "7QcjgXtAQB5Q"
},
"id": "7QcjgXtAQB5Q",
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "e1713e4e-a848-42e9-b8d8-d1273f1b9689",
"metadata": {
"id": "e1713e4e-a848-42e9-b8d8-d1273f1b9689"
},
"outputs": [],
"source": [
"import exifread, csv\n",
"\n",
"def get_exif_data(image_path):\n",
" with open(image_path, 'rb') as image_file:\n",
" tags = exifread.process_file(image_file)\n",
" return tags\n",
"\n",
"def export_exif_to_json(exif_data, output_file):\n",
" # Convert tags to a serializable format\n",
" exif_data_serializable = {str(tag): str(value) for tag, value in exif_data.items()}\n",
" with open(output_file, 'w') as json_file:\n",
" json.dump(exif_data_serializable, json_file, indent=4)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "80fb378d",
"metadata": {
"id": "80fb378d"
},
"outputs": [],
"source": [
"# Function to convert GPS coordinates in degrees, minutes, and seconds to decimal degrees\n",
"def convert_to_decimal_degrees(value):\n",
" d, m, s = value.values\n",
" return d.num / d.den + (m.num / m.den) / 60 + (s.num / s.den) / 3600"
]
},
{
"cell_type": "markdown",
"source": [
"### You will need to create subfolders in {PATH_TO_YOUR_DATA_FOLDER} for each split (train/test/validation) or just (train/test). Next, place the corresponding images into each split after randomly shuffling them. Then, create a metadata.csv file for each split and place it in the corresponding directory. Note that the current code only works for jpeg images. If the exported images are in some other format, convert them to .jpg before running this code."
],
"metadata": {
"id": "yaoJPVKrNq9N"
},
"id": "yaoJPVKrNq9N"
},
{
"cell_type": "code",
"execution_count": null,
"id": "be3c347d",
"metadata": {
"id": "be3c347d"
},
"outputs": [],
"source": [
"with open(output_csv, mode='w', newline='') as csv_file:\n",
" fieldnames = ['file_name', 'Latitude', 'Longitude']\n",
" writer = csv.DictWriter(csv_file, fieldnames=fieldnames)\n",
"\n",
" # Write the header row\n",
" writer.writeheader()\n",
" for filename in os.listdir(directory_path):\n",
" if os.path.isfile(os.path.join(directory_path, filename)):\n",
" exif_data = get_exif_data(os.path.join(directory_path, filename))\n",
" if exif_data:\n",
" gps_latitude = exif_data.get('GPS GPSLatitude', None)\n",
" gps_latitude_ref = exif_data.get('GPS GPSLatitudeRef', None)\n",
" gps_longitude = exif_data.get('GPS GPSLongitude', None)\n",
" gps_longitude_ref = exif_data.get('GPS GPSLongitudeRef', None)\n",
" if gps_latitude and gps_longitude:\n",
" # Convert latitude and longitude to decimal degrees\n",
" latitude = convert_to_decimal_degrees(gps_latitude)\n",
" longitude = convert_to_decimal_degrees(gps_longitude)\n",
"\n",
" # Adjust for N/S and E/W reference\n",
" if gps_latitude_ref.values[0] == 'S':\n",
" latitude = -latitude\n",
" if gps_longitude_ref.values[0] == 'W':\n",
" longitude = -longitude\n",
"\n",
" # Write the data to the CSV file\n",
" writer.writerow({'file_name': filename, 'Latitude': latitude, 'Longitude': longitude})"
]
},
{
"cell_type": "markdown",
"source": [
"# Uploading and Reading a Dataset on Hugging Face"
],
"metadata": {
"id": "WEkVLwUcQ7PV"
},
"id": "WEkVLwUcQ7PV"
},
{
"cell_type": "code",
"source": [
"!pip install datasets"
],
"metadata": {
"id": "xtmhkAUSRBxp",
"outputId": "cab82646-49d6-431e-bb91-a5fee48296f6",
"colab": {
"base_uri": "https://localhost:8080/"
}
},
"id": "xtmhkAUSRBxp",
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Collecting datasets\n",
" Downloading datasets-3.1.0-py3-none-any.whl.metadata (20 kB)\n",
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"Collecting multiprocess<0.70.17 (from datasets)\n",
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"Collecting fsspec<=2024.9.0,>=2023.1.0 (from fsspec[http]<=2024.9.0,>=2023.1.0->datasets)\n",
" Downloading fsspec-2024.9.0-py3-none-any.whl.metadata (11 kB)\n",
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"\u001b[?25hInstalling collected packages: xxhash, fsspec, dill, multiprocess, datasets\n",
" Attempting uninstall: fsspec\n",
" Found existing installation: fsspec 2024.10.0\n",
" Uninstalling fsspec-2024.10.0:\n",
" Successfully uninstalled fsspec-2024.10.0\n",
"\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
"gcsfs 2024.10.0 requires fsspec==2024.10.0, but you have fsspec 2024.9.0 which is incompatible.\u001b[0m\u001b[31m\n",
"\u001b[0mSuccessfully installed datasets-3.1.0 dill-0.3.8 fsspec-2024.9.0 multiprocess-0.70.16 xxhash-3.5.0\n"
]
}
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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",
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