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satnogs-wut
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Code Issues 6 Releases Activity

Update to /srv/satnogs paths, open with latest jupyter

master
Jeff Moe 2022-08-16 19:41:49 -06:00
parent 8feeb6c896
commit b07a53458e
6 changed files with 89 additions and 43 deletions
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14
notebooks/wut-predict.ipynb
View File

@ -149,7 +149,8 @@
"metadata": {},
"outputs": [],
"source": [
"model = load_model('data/models/wut-DUV.tf')"
"#model = load_model('data/models/wut-DUV.tf')\n",
"model = load_model('/srv/satnogs/data/models/CW/wut-CW.h5')"
]
},
{
@ -158,7 +159,7 @@
"metadata": {},
"outputs": [],
"source": [
"test_dir = os.path.join('data/', 'test')"
"test_dir = os.path.join('/srv/satnogs/data/', 'test')"
]
},
{
@ -363,6 +364,13 @@
"source": [
"# The End"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
@ -381,7 +389,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.4"
"version": "3.10.6"
}
},
"nbformat": 4,

12
notebooks/wut-train.ipynb
View File

@ -89,7 +89,7 @@
"metadata": {},
"outputs": [],
"source": [
"ENCODING='GMSK'\n",
"ENCODING='FM'\n",
"batch_size = 64\n",
"epochs = 4\n",
"# Failing with this now:\n",
@ -445,7 +445,7 @@
"metadata": {},
"outputs": [],
"source": [
"model.save('/srv/satnogs/data/models/GMSK/wut-GMSK-202205.h5')"
"model.save('/srv/satnogs/data/models/FM/wut-FM.h5')"
]
},
{
@ -454,7 +454,7 @@
"metadata": {},
"outputs": [],
"source": [
"model.save('/srv/satnogs/data/models/GMSK/wut-GMSK-202205.tf')"
"model.save('/srv/satnogs/data/models/FM/wut-FM.tf')"
]
},
{
@ -463,7 +463,7 @@
"metadata": {},
"outputs": [],
"source": [
"plot_model(model, show_shapes=True, show_layer_names=True, expand_nested=True, dpi=72, to_file='/srv/satnogs/data/models/GMSK/plot_model.png')"
"#plot_model(model, show_shapes=True, show_layer_names=True, expand_nested=True, dpi=72, to_file='/srv/satnogs/data/models/FM/plot_model.png')"
]
},
{
@ -472,7 +472,7 @@
"metadata": {},
"outputs": [],
"source": [
"SVG(model_to_dot(model).create(prog='dot', format='svg'))"
"#SVG(model_to_dot(model).create(prog='dot', format='svg'))"
]
}
],
@ -492,7 +492,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.4"
"version": "3.10.6"
}
},
"nbformat": 4,

2
notebooks/wut-web-alpha.ipynb
View File

@ -380,7 +380,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.4"
"version": "3.10.6"
}
},
"nbformat": 4,

2
notebooks/wut-web-beta.ipynb
View File

@ -336,7 +336,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.4"
"version": "3.10.6"
}
},
"nbformat": 4,

2
notebooks/wut-web.ipynb
View File

@ -216,7 +216,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.4"
"version": "3.10.6"
}
},
"nbformat": 4,

100
notebooks/wut.ipynb
View File

@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
"execution_count": null,
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
@ -13,7 +13,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
@ -22,7 +22,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
@ -31,7 +31,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
@ -47,16 +47,24 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 5,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Start\n"
]
}
],
"source": [
"print(\"Start\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
@ -65,7 +73,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
@ -74,7 +82,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
@ -83,7 +91,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
@ -108,7 +116,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
@ -121,7 +129,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
@ -131,7 +139,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
@ -144,7 +152,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
@ -154,27 +162,35 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 14,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Python import done\n"
]
}
],
"source": [
"print(\"Python import done\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"train_dir = os.path.join('data/', 'train')\n",
"val_dir = os.path.join('data/', 'val')\n",
"test_dir = os.path.join('data/', 'test')"
"train_dir = os.path.join('/srv/satnogs/data/', 'train')\n",
"val_dir = os.path.join('/srv/satnogs/data/', 'val')\n",
"test_dir = os.path.join('/srv/satnogs/data/', 'test')"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
@ -184,7 +200,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
@ -194,7 +210,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
@ -204,7 +220,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 23,
"metadata": {},
"outputs": [],
"source": [
@ -214,7 +230,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 24,
"metadata": {},
"outputs": [],
"source": [
@ -223,7 +239,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 25,
"metadata": {},
"outputs": [],
"source": [
@ -233,9 +249,20 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 26,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"total training good images: 16739\n",
"total training bad images: 3961\n",
"--\n",
"Total training images: 20700\n"
]
}
],
"source": [
"print('total training good images:', num_train_good)\n",
"print('total training bad images:', num_train_bad)\n",
@ -245,9 +272,20 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 27,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"total validation good images: 16716\n",
"total validation bad images: 3934\n",
"--\n",
"Total validation images: 20650\n"
]
}
],
"source": [
"print('total validation good images:', num_val_good)\n",
"print('total validation bad images:', num_val_bad)\n",
@ -755,7 +793,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.4"
"version": "3.10.6"
}
},
"nbformat": 4,