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Notebook (#10)
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* Notebooks for DSB2018 n10 grid search over alpha 
* Notebooks for DSB2018 n0, n10, 20, n40 baselines
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tibuch authored Feb 10, 2020
1 parent 9880efc commit 5fcf03e
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Showing 5 changed files with 2,107 additions and 178 deletions.
30 changes: 15 additions & 15 deletions examples/Noise2Seg_2D/DSB2018_Noise2Seg_Example.ipynb
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"cells": [
{
"cell_type": "code",
"execution_count": 1,
"execution_count": null,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Using TensorFlow backend.\n"
]
}
],
"outputs": [],
"source": [
"%load_ext autoreload\n",
"%autoreload 2\n",
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{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# create a folder for our data\n",
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{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"trainval_data = np.load('data/DSB/train_data/dsb2018_TrainVal40.npz')\n",
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{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"from noise2seg.utils.compute_precision_threshold import "
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{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.8"
"version": "3.6.1"
}
},
"nbformat": 4,
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882 changes: 882 additions & 0 deletions figures/Figures_weightScheduling_AP.ipynb

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880 changes: 880 additions & 0 deletions figures/Figures_weightScheduling_SEG.ipynb

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10 changes: 5 additions & 5 deletions figures/Figures_weightedDenoising.ipynb
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},
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"execution_count": 8,
"execution_count": 2,
"metadata": {
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},
{
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"execution_count": 9,
"execution_count": 4,
"metadata": {
"collapsed": true
},
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},
{
"cell_type": "code",
"execution_count": 10,
"execution_count": 5,
"metadata": {
"collapsed": true
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},
{
"cell_type": "code",
"execution_count": 11,
"execution_count": 6,
"metadata": {},
"outputs": [
{
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"304.0"
]
},
"execution_count": 11,
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
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