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learn.ipynb
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learn.ipynb
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{
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{
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"cells": [
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# learn.ipynb\n",
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"# A Jupyter Notebook to Learn the stvid Process\n",
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"#\n",
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"# One FITS file will be acquired live from the attached video source.\n",
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"# Each layer in the generated FITS file to be displayed.\n",
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"# Each step in process_new.py to be performed and displayed,\n",
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"# including output text files."
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]
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": null,
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"execution_count": null,
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"from stvid.utils import get_sunset_and_sunrise\n",
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"from stvid.utils import get_sunset_and_sunrise\n",
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"import logging\n",
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"import logging\n",
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"import configparser\n",
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"import configparser\n",
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"import argparse\n",
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"import zwoasi as asi\n",
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"import zwoasi as asi\n",
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"# XXX Requires non-libre libbcm_host.so ?\n",
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"# XXX Requires non-libre libbcm_host.so ?\n",
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"#from picamerax.array import PiRGBArray\n",
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"#from picamerax.array import PiRGBArray\n",
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": null,
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"execution_count": null,
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"metadata": {},
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"def capture_cv2(image_queue, z1, t1, z2, t2, nx, ny, nz, tend, device_id, live, cfg):\n",
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"def capture_cv2(image_queue, z1, t1, z2, t2, nx, ny, nz, tend, device_id, live, cfg):\n",
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": null,
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"execution_count": null,
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"metadata": {},
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"def compress(image_queue, z1, t1, z2, t2, nx, ny, nz, tend, path, device_id, cfg):\n",
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"def compress(image_queue, z1, t1, z2, t2, nx, ny, nz, tend, path, device_id, cfg):\n",
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