Commit
·
075d5a8
1
Parent(s):
6a554bd
Subida del modelo
Browse files- modelo_caballos.ipynb +708 -0
modelo_caballos.ipynb
ADDED
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@@ -0,0 +1,708 @@
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| 1 |
+
{
|
| 2 |
+
"nbformat": 4,
|
| 3 |
+
"nbformat_minor": 0,
|
| 4 |
+
"metadata": {
|
| 5 |
+
"colab": {
|
| 6 |
+
"name": "modelo_caballos.ipynb",
|
| 7 |
+
"provenance": []
|
| 8 |
+
},
|
| 9 |
+
"kernelspec": {
|
| 10 |
+
"name": "python3",
|
| 11 |
+
"display_name": "Python 3"
|
| 12 |
+
},
|
| 13 |
+
"language_info": {
|
| 14 |
+
"name": "python"
|
| 15 |
+
},
|
| 16 |
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"widgets": {
|
| 17 |
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"application/vnd.jupyter.widget-state+json": {
|
| 18 |
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"5f13d9666abd4744bffdea06bd5b81db": {
|
| 19 |
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"model_module": "@jupyter-widgets/controls",
|
| 20 |
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"model_name": "HBoxModel",
|
| 21 |
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"model_module_version": "1.5.0",
|
| 22 |
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"state": {
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| 23 |
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"_dom_classes": [],
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| 24 |
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"_model_module": "@jupyter-widgets/controls",
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| 25 |
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"_model_module_version": "1.5.0",
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| 26 |
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"_model_name": "HBoxModel",
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| 27 |
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"_view_count": null,
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| 28 |
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"_view_module": "@jupyter-widgets/controls",
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| 29 |
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"_view_module_version": "1.5.0",
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| 30 |
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"_view_name": "HBoxView",
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| 31 |
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"box_style": "",
|
| 32 |
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"children": [
|
| 33 |
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"IPY_MODEL_cc42f87c43db4ac483e3cf451a2ec7b5",
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| 34 |
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"IPY_MODEL_eaaa7f22662b444d8b6065e6feb84acf",
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| 35 |
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"IPY_MODEL_fa561ad40bc14cde8f3c8fa3e86e0174"
|
| 36 |
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],
|
| 37 |
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"layout": "IPY_MODEL_8d7aea0c66524922ae5db50092e1a7c8"
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| 38 |
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}
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| 39 |
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},
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| 40 |
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"cc42f87c43db4ac483e3cf451a2ec7b5": {
|
| 41 |
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"model_module": "@jupyter-widgets/controls",
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| 42 |
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"model_name": "HTMLModel",
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| 43 |
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"model_module_version": "1.5.0",
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| 44 |
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"state": {
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| 45 |
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"_dom_classes": [],
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| 46 |
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"_model_module": "@jupyter-widgets/controls",
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| 47 |
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"_model_module_version": "1.5.0",
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| 48 |
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"_model_name": "HTMLModel",
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| 49 |
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"_view_count": null,
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| 50 |
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"_view_module": "@jupyter-widgets/controls",
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| 51 |
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"_view_module_version": "1.5.0",
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| 52 |
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"_view_name": "HTMLView",
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| 53 |
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"description": "",
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| 54 |
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"description_tooltip": null,
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| 55 |
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"layout": "IPY_MODEL_a642623cdd40432b809de48d93ae1e0c",
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| 56 |
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"placeholder": "",
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| 57 |
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"style": "IPY_MODEL_962d6b4177104711a907ccdf733d8200",
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| 58 |
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"value": "100%"
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| 59 |
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}
|
| 60 |
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},
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| 61 |
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"eaaa7f22662b444d8b6065e6feb84acf": {
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| 62 |
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"model_module": "@jupyter-widgets/controls",
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| 63 |
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"model_name": "FloatProgressModel",
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| 64 |
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"model_module_version": "1.5.0",
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| 65 |
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"state": {
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| 66 |
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"_dom_classes": [],
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| 67 |
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"_model_module": "@jupyter-widgets/controls",
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| 68 |
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"_model_module_version": "1.5.0",
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| 69 |
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"_model_name": "FloatProgressModel",
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| 70 |
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"_view_count": null,
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| 71 |
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"_view_module": "@jupyter-widgets/controls",
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| 72 |
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"_view_module_version": "1.5.0",
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"Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->fastai==2.5) (2.10)\n",
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"Collecting torchvision>=0.8.2\n",
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" Downloading torchvision-0.12.0-cp37-cp37m-manylinux1_x86_64.whl (21.0 MB)\n",
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"\u001b[?25h Downloading torchvision-0.11.1-cp37-cp37m-manylinux1_x86_64.whl (23.3 MB)\n",
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"Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.7/dist-packages (from pandas->fastai==2.5) (2018.9)\n",
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| 443 |
+
"Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.7/dist-packages (from scikit-learn->fastai==2.5) (3.1.0)\n",
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"Requirement already satisfied: joblib>=0.11 in /usr/local/lib/python3.7/dist-packages (from scikit-learn->fastai==2.5) (1.1.0)\n",
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| 445 |
+
"Installing collected packages: torch, torchvision, fastai\n",
|
| 446 |
+
" Attempting uninstall: torch\n",
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| 447 |
+
" Found existing installation: torch 1.10.0+cu111\n",
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| 448 |
+
" Uninstalling torch-1.10.0+cu111:\n",
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+
" Successfully uninstalled torch-1.10.0+cu111\n",
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| 450 |
+
" Attempting uninstall: torchvision\n",
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| 451 |
+
" Found existing installation: torchvision 0.11.1+cu111\n",
|
| 452 |
+
" Uninstalling torchvision-0.11.1+cu111:\n",
|
| 453 |
+
" Successfully uninstalled torchvision-0.11.1+cu111\n",
|
| 454 |
+
" Attempting uninstall: fastai\n",
|
| 455 |
+
" Found existing installation: fastai 2.5.3\n",
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| 456 |
+
" Uninstalling fastai-2.5.3:\n",
|
| 457 |
+
" Successfully uninstalled fastai-2.5.3\n",
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| 458 |
+
"\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
|
| 459 |
+
"torchtext 0.11.0 requires torch==1.10.0, but you have torch 1.9.1 which is incompatible.\n",
|
| 460 |
+
"torchaudio 0.10.0+cu111 requires torch==1.10.0, but you have torch 1.9.1 which is incompatible.\u001b[0m\n",
|
| 461 |
+
"Successfully installed fastai-2.5.0 torch-1.9.1 torchvision-0.10.1\n",
|
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+
"Mounted at /content/gdrive\n"
|
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+
]
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+
}
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+
],
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+
"source": [
|
| 467 |
+
"!pip install -Uqq fastbook\n",
|
| 468 |
+
"!pip install fastai==2.5\n",
|
| 469 |
+
"import fastbook\n",
|
| 470 |
+
"fastbook.setup_book()\n",
|
| 471 |
+
"\n",
|
| 472 |
+
"from fastbook import *\n",
|
| 473 |
+
"from fastai.vision.widgets import *"
|
| 474 |
+
]
|
| 475 |
+
},
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| 476 |
+
{
|
| 477 |
+
"cell_type": "code",
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+
"source": [
|
| 479 |
+
"path = Path('/content/gdrive/My Drive/caballos')"
|
| 480 |
+
],
|
| 481 |
+
"metadata": {
|
| 482 |
+
"id": "HP3JCf-sZqQt"
|
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+
},
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| 484 |
+
"execution_count": 2,
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| 485 |
+
"outputs": []
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+
},
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| 487 |
+
{
|
| 488 |
+
"cell_type": "code",
|
| 489 |
+
"source": [
|
| 490 |
+
"modelo = DataBlock(\n",
|
| 491 |
+
" blocks=(ImageBlock, CategoryBlock), \n",
|
| 492 |
+
" get_items=get_image_files, \n",
|
| 493 |
+
" splitter=RandomSplitter(valid_pct=0.2, seed=42),\n",
|
| 494 |
+
" get_y=parent_label,\n",
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| 495 |
+
" item_tfms=RandomResizedCrop(224, min_scale=0.5),\n",
|
| 496 |
+
" batch_tfms=aug_transforms())\n",
|
| 497 |
+
"\n",
|
| 498 |
+
"dls = modelo.dataloaders(path)"
|
| 499 |
+
],
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| 500 |
+
"metadata": {
|
| 501 |
+
"colab": {
|
| 502 |
+
"base_uri": "https://localhost:8080/"
|
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+
},
|
| 504 |
+
"id": "Y_sgP8JKZtEF",
|
| 505 |
+
"outputId": "662106ef-b448-4b75-ee2f-ced407b07286"
|
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+
},
|
| 507 |
+
"execution_count": 3,
|
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+
"outputs": [
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| 509 |
+
{
|
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+
"output_type": "stream",
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+
"name": "stderr",
|
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+
"text": [
|
| 513 |
+
"/usr/local/lib/python3.7/dist-packages/torch/_tensor.py:1023: UserWarning: torch.solve is deprecated in favor of torch.linalg.solveand will be removed in a future PyTorch release.\n",
|
| 514 |
+
"torch.linalg.solve has its arguments reversed and does not return the LU factorization.\n",
|
| 515 |
+
"To get the LU factorization see torch.lu, which can be used with torch.lu_solve or torch.lu_unpack.\n",
|
| 516 |
+
"X = torch.solve(B, A).solution\n",
|
| 517 |
+
"should be replaced with\n",
|
| 518 |
+
"X = torch.linalg.solve(A, B) (Triggered internally at ../aten/src/ATen/native/BatchLinearAlgebra.cpp:760.)\n",
|
| 519 |
+
" ret = func(*args, **kwargs)\n"
|
| 520 |
+
]
|
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+
}
|
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+
]
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+
},
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{
|
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+
"cell_type": "code",
|
| 526 |
+
"source": [
|
| 527 |
+
"learn = cnn_learner(dls, resnet18, metrics=error_rate)\n",
|
| 528 |
+
"learn.fine_tune(4)"
|
| 529 |
+
],
|
| 530 |
+
"metadata": {
|
| 531 |
+
"colab": {
|
| 532 |
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"base_uri": "https://localhost:8080/",
|
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"height": 288,
|
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"referenced_widgets": [
|
| 535 |
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|
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"eaaa7f22662b444d8b6065e6feb84acf",
|
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|
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|
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"a642623cdd40432b809de48d93ae1e0c",
|
| 541 |
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"962d6b4177104711a907ccdf733d8200",
|
| 542 |
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"5f3b97e945354da7aab13a945541fe0c",
|
| 543 |
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"a67ff5848e044d4883ad09aab3d8f4bf",
|
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"3a213099ead44040bbc2df31b6801af8",
|
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"fc68d192c3194b60bcf160ed8a85d77a"
|
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|
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|
| 548 |
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|
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|
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},
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"execution_count": 4,
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"outputs": [
|
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{
|
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+
"output_type": "stream",
|
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+
"name": "stderr",
|
| 556 |
+
"text": [
|
| 557 |
+
"Downloading: \"https://download.pytorch.org/models/resnet18-f37072fd.pth\" to /root/.cache/torch/hub/checkpoints/resnet18-f37072fd.pth\n"
|
| 558 |
+
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|
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},
|
| 560 |
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{
|
| 561 |
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"output_type": "display_data",
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"model_id": "5f13d9666abd4744bffdea06bd5b81db"
|
| 570 |
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}
|
| 571 |
+
},
|
| 572 |
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"metadata": {}
|
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},
|
| 574 |
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{
|
| 575 |
+
"output_type": "display_data",
|
| 576 |
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"data": {
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|
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|
| 579 |
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|
| 580 |
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|
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|
| 582 |
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"<style>\n",
|
| 583 |
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" /* Turns off some styling */\n",
|
| 584 |
+
" progress {\n",
|
| 585 |
+
" /* gets rid of default border in Firefox and Opera. */\n",
|
| 586 |
+
" border: none;\n",
|
| 587 |
+
" /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
|
| 588 |
+
" background-size: auto;\n",
|
| 589 |
+
" }\n",
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| 590 |
+
" .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
|
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" background: #F44336;\n",
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+
" }\n",
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"</style>\n"
|
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]
|
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},
|
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"metadata": {}
|
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},
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| 598 |
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{
|
| 599 |
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"output_type": "display_data",
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| 600 |
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|
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|
| 606 |
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" <thead>\n",
|
| 607 |
+
" <tr style=\"text-align: left;\">\n",
|
| 608 |
+
" <th>epoch</th>\n",
|
| 609 |
+
" <th>train_loss</th>\n",
|
| 610 |
+
" <th>valid_loss</th>\n",
|
| 611 |
+
" <th>error_rate</th>\n",
|
| 612 |
+
" <th>time</th>\n",
|
| 613 |
+
" </tr>\n",
|
| 614 |
+
" </thead>\n",
|
| 615 |
+
" <tbody>\n",
|
| 616 |
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" <tr>\n",
|
| 617 |
+
" <td>0</td>\n",
|
| 618 |
+
" <td>1.727824</td>\n",
|
| 619 |
+
" <td>1.942404</td>\n",
|
| 620 |
+
" <td>0.511628</td>\n",
|
| 621 |
+
" <td>00:54</td>\n",
|
| 622 |
+
" </tr>\n",
|
| 623 |
+
" </tbody>\n",
|
| 624 |
+
"</table>"
|
| 625 |
+
]
|
| 626 |
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},
|
| 627 |
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"metadata": {}
|
| 628 |
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|
| 629 |
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{
|
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"output_type": "display_data",
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"<IPython.core.display.HTML object>"
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| 636 |
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"\n",
|
| 637 |
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"<style>\n",
|
| 638 |
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" /* Turns off some styling */\n",
|
| 639 |
+
" progress {\n",
|
| 640 |
+
" /* gets rid of default border in Firefox and Opera. */\n",
|
| 641 |
+
" border: none;\n",
|
| 642 |
+
" /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
|
| 643 |
+
" background-size: auto;\n",
|
| 644 |
+
" }\n",
|
| 645 |
+
" .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
|
| 646 |
+
" background: #F44336;\n",
|
| 647 |
+
" }\n",
|
| 648 |
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"</style>\n"
|
| 649 |
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]
|
| 650 |
+
},
|
| 651 |
+
"metadata": {}
|
| 652 |
+
},
|
| 653 |
+
{
|
| 654 |
+
"output_type": "display_data",
|
| 655 |
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"data": {
|
| 656 |
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"text/plain": [
|
| 657 |
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"<IPython.core.display.HTML object>"
|
| 658 |
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],
|
| 659 |
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"text/html": [
|
| 660 |
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"<table border=\"1\" class=\"dataframe\">\n",
|
| 661 |
+
" <thead>\n",
|
| 662 |
+
" <tr style=\"text-align: left;\">\n",
|
| 663 |
+
" <th>epoch</th>\n",
|
| 664 |
+
" <th>train_loss</th>\n",
|
| 665 |
+
" <th>valid_loss</th>\n",
|
| 666 |
+
" <th>error_rate</th>\n",
|
| 667 |
+
" <th>time</th>\n",
|
| 668 |
+
" </tr>\n",
|
| 669 |
+
" </thead>\n",
|
| 670 |
+
" <tbody>\n",
|
| 671 |
+
" <tr>\n",
|
| 672 |
+
" <td>0</td>\n",
|
| 673 |
+
" <td>1.136568</td>\n",
|
| 674 |
+
" <td>0.820967</td>\n",
|
| 675 |
+
" <td>0.325581</td>\n",
|
| 676 |
+
" <td>00:44</td>\n",
|
| 677 |
+
" </tr>\n",
|
| 678 |
+
" <tr>\n",
|
| 679 |
+
" <td>1</td>\n",
|
| 680 |
+
" <td>0.841547</td>\n",
|
| 681 |
+
" <td>0.150323</td>\n",
|
| 682 |
+
" <td>0.023256</td>\n",
|
| 683 |
+
" <td>00:44</td>\n",
|
| 684 |
+
" </tr>\n",
|
| 685 |
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" <tr>\n",
|
| 686 |
+
" <td>2</td>\n",
|
| 687 |
+
" <td>0.618603</td>\n",
|
| 688 |
+
" <td>0.045600</td>\n",
|
| 689 |
+
" <td>0.000000</td>\n",
|
| 690 |
+
" <td>00:44</td>\n",
|
| 691 |
+
" </tr>\n",
|
| 692 |
+
" <tr>\n",
|
| 693 |
+
" <td>3</td>\n",
|
| 694 |
+
" <td>0.482615</td>\n",
|
| 695 |
+
" <td>0.037267</td>\n",
|
| 696 |
+
" <td>0.000000</td>\n",
|
| 697 |
+
" <td>00:44</td>\n",
|
| 698 |
+
" </tr>\n",
|
| 699 |
+
" </tbody>\n",
|
| 700 |
+
"</table>"
|
| 701 |
+
]
|
| 702 |
+
},
|
| 703 |
+
"metadata": {}
|
| 704 |
+
}
|
| 705 |
+
]
|
| 706 |
+
}
|
| 707 |
+
]
|
| 708 |
+
}
|