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Created October 30, 2021 05:56
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ustclug-hackergame-2021-write-up
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "15168bb7-6e17-4682-acaf-5a3468a97d22",
"metadata": {},
"outputs": [],
"source": [
"from PIL import Image\n",
"import numpy as np\n",
"import librosa\n",
"\n",
"num_freqs = 32\n",
"quantize = 2\n",
"min_db = -60\n",
"max_db = 30\n",
"fft_window_size = 2048\n",
"frame_step_size = 512\n",
"window_function_type = 'hann'\n",
"sample_rate = 22050"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "8eda4e72-a144-45c8-804a-ae256694d74c",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"array([[ 0, 0, 0, ..., 0, 0, 0],\n",
" [ 0, 0, 0, ..., 0, 0, 0],\n",
" [ 0, 0, 0, ..., 0, 0, 0],\n",
" ...,\n",
" [24, 14, 10, ..., 0, 0, 0],\n",
" [18, 4, 4, ..., 0, 0, 0],\n",
" [ 6, 0, 0, ..., 0, 0, 0]], dtype=uint8)"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def read_gif():\n",
" im = Image.open('flag.gif')\n",
" result = []\n",
" for i in range(im.n_frames):\n",
" im.seek(i)\n",
" result.append(sum([row[2::4] for row in np.array(im)]))\n",
" return np.array(result)\n",
"\n",
"read_gif()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "a31b25c3-7cf9-40ca-951e-c9ae483ca881",
"metadata": {},
"outputs": [],
"source": [
"dbdata = read_gif().transpose() / 2\n",
"powerdata = librosa.db_to_power(dbdata)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "328c2be3-2594-4baf-bfad-c59e08901528",
"metadata": {},
"outputs": [],
"source": [
"audio = librosa.feature.inverse.mel_to_audio(\n",
" powerdata,\n",
" sample_rate,\n",
" hop_length=frame_step_size,\n",
" window=window_function_type,\n",
" n_fft=fft_window_size,\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "61d75351-ca2d-48f3-ac9f-bfd570cdd9fc",
"metadata": {},
"outputs": [],
"source": [
"import soundfile\n",
"soundfile.write('flag.ogg', audio, sample_rate)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "65c5b736-bb3a-4981-a846-ff0675cbe92b",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[Text(0.5, 1.0, 'Mel-frequency spectrogram')]"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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"text/plain": [
"<Figure size 4608x288 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"import matplotlib as mpl\n",
"import librosa.display\n",
"\n",
"plt.rcParams['figure.figsize'] = [64, 4]\n",
"fig, ax = plt.subplots()\n",
"\n",
"img = librosa.display.specshow(dbdata, x_axis='time',\n",
" y_axis='mel', sr=sample_rate,\n",
" hop_length=frame_step_size,\n",
" fmax=8000, ax=ax,\n",
" cmap=mpl.cm.cubehelix)\n",
"\n",
"fig.colorbar(img, ax=ax, format='%+2.0f dB')\n",
"\n",
"ax.set(title='Mel-frequency spectrogram')"
]
}
],
"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": "3.9.6"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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