Spaces:
Sleeping
Sleeping
File size: 2,693 Bytes
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "16651843",
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "f46843d136af4c79a73841b997fa3284",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"VBox(children=(Accordion(children=(GridBox(children=(Label(value='CH2'), Label(value='CH3'), Label(value='CH4'…"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Exception in thread Thread-3:\n",
"Traceback (most recent call last):\n",
" File \"C:\\Users\\milos\\AppData\\Local\\Programs\\Python\\Python37\\lib\\threading.py\", line 917, in _bootstrap_inner\n",
" self.run()\n",
" File \"C:\\Users\\milos\\AppData\\Local\\Programs\\Python\\Python37\\lib\\threading.py\", line 865, in run\n",
" self._target(*self._args, **self._kwargs)\n",
" File \"c:\\users\\milos\\documents\\github\\portiloop-software\\portiloop\\src\\capture.py\", line 927, in start_capture\n",
" detector = detector_cls(threshold, channel=channel) if detector_cls is not None else None\n",
" File \"c:\\users\\milos\\documents\\github\\portiloop-software\\portiloop\\src\\detection.py\", line 56, in __init__\n",
" self.interpreters.append(edgetpu.make_interpreter(model_path))\n",
"NameError: name 'edgetpu' is not defined\n",
"\n"
]
}
],
"source": [
"from portiloop.src.capture import Capture\n",
"from portiloop.src.detection import SleepSpindleRealTimeDetector\n",
"from portiloop.src.stimulation import SleepSpindleRealTimeStimulator\n",
"\n",
"my_detector_class = SleepSpindleRealTimeDetector # you may want to implement yours\n",
"my_stimulator_class = SleepSpindleRealTimeStimulator # you may also want to implement yours\n",
"\n",
"cap = Capture(detector_cls=my_detector_class, stimulator_cls=my_stimulator_class)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3.7.0b2 ('venv': venv)",
"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": "3.7.0b2"
},
"vscode": {
"interpreter": {
"hash": "770b75f59a9c369b74cb4cefed633f309c892e213e0ed32eed0937c0a5627480"
}
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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