115 lines
2.3 KiB
Plaintext
115 lines
2.3 KiB
Plaintext
{
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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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"import numpy as np\n",
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"import ld2dap\n",
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"import triskele"
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]
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},
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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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"load = ld2dap.LoadTIFF('../Data/phase1_rasters/Intensity_C1/UH17_GI1F051_TR.tif')\n",
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"trsh = ld2dap.Treshold(1e4)\n",
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"disp = ld2dap.ShowFig()\n",
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"rout = ld2dap.RawOutput()\n",
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"\n",
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"rout.input = trsh\n",
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"disp.input = trsh\n",
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"trsh.input = load\n",
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"\n",
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"disp.run()"
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]
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},
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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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"rinp = ld2dap.RawInput(rout.data.astype(np.uint16), rout.metadata)\n",
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"\n",
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"disp.input = rinp\n",
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"\n",
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"disp.run()"
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]
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},
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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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"aps = ld2dap.SelfDualAttributeProfiles(area=[100, 1e3], normalize_to_dtype=False)\n",
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"\n",
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"aps.input = rinp\n",
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"disp.input = aps\n",
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"\n",
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"disp.run()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Try this new Normalize node !"
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]
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},
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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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"load = ld2dap.LoadTIFF('../Data/phase1_rasters/Intensity_C1/UH17_GI1F051_TR.tif')\n",
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"trsh = ld2dap.Treshold(1e4)\n",
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"norm = ld2dap.Normalize(dtype=np.uint8)\n",
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"aps = ld2dap.SelfDualAttributeProfiles(area=[100, 1e3], normalize_to_dtype=False)\n",
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"disp = ld2dap.ShowFig(stack_id='all')\n",
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"\n",
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"disp.input = aps\n",
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"aps.input = norm\n",
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"norm.input = trsh\n",
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"trsh.input = load\n",
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"\n",
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"disp.run()"
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]
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},
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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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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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