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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