trackpy, pims, matplotlib and imageio to get movie with tracks from particle movies

trackpy_4view_spliiter.ipynb

trackpy_4view_spliiter_1.ipynb

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   "metadata": {
    "tags": []
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   "source": [
    "import pims\n",
    "import trackpy as tp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3e75d5b6-c3cf-493e-9da2-7e86e1f2141a",
   "metadata": {
    "tags": []
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   "outputs": [],
   "source": [
    "frames = pims.as_gray(pims.Video('Video1a.mp4'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "0841ab3a-e6d5-4ebd-9af5-4337519a333c",
   "metadata": {
    "tags": []
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   "outputs": [],
   "source": [
    "f = tp.locate(frames[0], 31, invert=True, minmass=500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d0af7774-39c0-4f86-812e-b194d5226634",
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   "source": [
    "f = []\n",
    "for fr in frames:\n",
    "     f.append(tp.locate(fr, 31, invert=True, minmass=500))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "90689ae7-9b70-4079-be9c-6aa77a4b8583",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b4d0ea0a-9dbb-4210-b9e0-09a63aa41cd3",
   "metadata": {
    "tags": []
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   "outputs": [],
   "source": [
    "features = pd.concat(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d7178c11-9898-4b20-a9a4-73f0f4ebe738",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "search_range = 5\n",
    "t = tp.link_df(features, search_range, memory=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3729c9f0-a01b-4c45-af01-1b38610af87f",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "t.to_csv('video1a.csv')"
   ]
  }
 ],
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