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Merge pull request #46 from nasa/develop
Release 0.2.5
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| Original file line number | Diff line number | Diff line change |
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| \page analyst Analyst Notebook | ||
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| copied into the jupyter notebook home folder, are scripts that are made by the analyst and will be saved, even after the docker is shutdown. |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,105 @@ | ||
| { | ||
| "cells": [ | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": { | ||
| "tags": [] | ||
| }, | ||
| "source": [ | ||
| "# Import bagfiles to Database for Analysis\n", | ||
| "\n", | ||
| "The database used is ArangoDB. If you followed the Analyst notebook startup procedure [here](https://nasa.github.io/isaac/html/index.html), the local database should already be hosted in http://localhost:8529.\n", | ||
| "\n", | ||
| "Go ahead open the link at take a look! The username is `root` and the password `isaac`.\n", | ||
| "\n", | ||
| "To connect to the database:" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "from pyArango.connection import *\n", | ||
| "\n", | ||
| "# Connect to the database\n", | ||
| "conn = Connection(arangoURL=\"http://iui_arangodb:8529\", username=\"root\", password=\"isaac\")\n", | ||
| "\n", | ||
| "# Open the isaac database / create it if it does not exist\n", | ||
| "if not conn.hasDatabase(\"isaac\"):\n", | ||
| " conn.createDatabase(name=\"isaac\")\n", | ||
| "db = conn[\"isaac\"]\n", | ||
| "\n", | ||
| "# Create a collection\n", | ||
| "if not db.hasCollection(\"analyst\"):\n", | ||
| " db.createCollection(name=\"analyst\")\n", | ||
| " \n", | ||
| "print(\"Connected to database!\")" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "The next step is to select the bagfile to import" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "from scripts.load_bag_database import LoadBagDatabase\n", | ||
| "\n", | ||
| "\n", | ||
| "path=\"/home/analyst/data/bags/\"\n", | ||
| "\n", | ||
| "LoadBagDatabase(db, path, \"/gnc/ekf\")" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [] | ||
| } | ||
| ], | ||
| "metadata": { | ||
| "kernelspec": { | ||
| "display_name": "Python 3 (ipykernel)", | ||
| "language": "python", | ||
| "name": "python3" | ||
| }, | ||
| "language_info": { | ||
| "codemirror_mode": { | ||
| "name": "ipython", | ||
| "version": 3 | ||
| }, | ||
| "file_extension": ".py", | ||
| "mimetype": "text/x-python", | ||
| "name": "python", | ||
| "nbconvert_exporter": "python", | ||
| "pygments_lexer": "ipython3", | ||
| "version": "3.8.10" | ||
| } | ||
| }, | ||
| "nbformat": 4, | ||
| "nbformat_minor": 4 | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,49 @@ | ||
| { | ||
| "cells": [ | ||
| { | ||
| "cell_type": "markdown", | ||
| "id": "5636fde2-c963-48b5-a883-a7d520a6084e", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "# Read Various Data Types from Database" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "id": "23334b94-b585-4319-a75b-eeacece22852", | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "id": "9288a825-64f6-4177-9f65-9bff1ea74210", | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [] | ||
| } | ||
| ], | ||
| "metadata": { | ||
| "kernelspec": { | ||
| "display_name": "Python 3 (ipykernel)", | ||
| "language": "python", | ||
| "name": "python3" | ||
| }, | ||
| "language_info": { | ||
| "codemirror_mode": { | ||
| "name": "ipython", | ||
| "version": 3 | ||
| }, | ||
| "file_extension": ".py", | ||
| "mimetype": "text/x-python", | ||
| "name": "python", | ||
| "nbconvert_exporter": "python", | ||
| "pygments_lexer": "ipython3", | ||
| "version": "3.8.10" | ||
| } | ||
| }, | ||
| "nbformat": 4, | ||
| "nbformat_minor": 5 | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,70 @@ | ||
| { | ||
| "cells": [ | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "id": "1b6a6b4d-99b1-47ca-8cfd-a668539fdab8", | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "id": "9df2443f-50cc-49a9-9b4e-2f1018fc6904", | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 1, | ||
| "id": "097ce74d-b561-4aa4-b899-8301205457a2", | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "from pathlib import Path\n", | ||
| "\n", | ||
| "import matplotlib.pyplot as plt\n", | ||
| "import numpy as np\n", | ||
| "import torch\n", | ||
| "import torch.nn.functional as F\n", | ||
| "import torchvision.transforms as transforms\n", | ||
| "from PIL import Image\n", | ||
| "from torch import nn, optim\n", | ||
| "from torchvision import datasets, models, transforms\n", | ||
| "\n", | ||
| "\n", | ||
| "\n", | ||
| "test_transforms = transforms.Compose(\n", | ||
| " [\n", | ||
| " transforms.Resize(224),\n", | ||
| " transforms.ToTensor(),\n", | ||
| " transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225]),\n", | ||
| " ]\n", | ||
| ")" | ||
| ] | ||
| } | ||
| ], | ||
| "metadata": { | ||
| "kernelspec": { | ||
| "display_name": "Python 3 (ipykernel)", | ||
| "language": "python", | ||
| "name": "python3" | ||
| }, | ||
| "language_info": { | ||
| "codemirror_mode": { | ||
| "name": "ipython", | ||
| "version": 3 | ||
| }, | ||
| "file_extension": ".py", | ||
| "mimetype": "text/x-python", | ||
| "name": "python", | ||
| "nbconvert_exporter": "python", | ||
| "pygments_lexer": "ipython3", | ||
| "version": "3.9.7" | ||
| } | ||
| }, | ||
| "nbformat": 4, | ||
| "nbformat_minor": 5 | ||
| } |
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