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@DevStefIt
Last active May 27, 2023 16:51
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PyAV - first approach
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import av\n",
"\n",
"video_path = \"Big Buck Bunny.mkv\""
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<av.InputContainer 'C:\\\\Users\\\\Stefano\\\\Desktop\\\\Videos\\\\Big Buck Bunny.mkv'>"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"container = av.open(video_path)\n",
"container"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<av.VideoStream #0 vp9, yuv420p 1280x720 at 0x1f272ec0810>"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"stream = container.streams.video[0]\n",
"stream"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"24.0"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fps = float(stream.average_rate)\n",
"fps"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"for index, frame in enumerate(container.decode(stream)):\n",
" if index % fps == 0:\n",
" frame.to_image().save(f'frame-{index}.png')\n"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "ffmpeg-python",
"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": "3.11.3"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}
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