From c4e3128be518a73569ad8037ba7a6037544ddae3 Mon Sep 17 00:00:00 2001 From: Michael Pilosov Date: Thu, 26 May 2022 15:12:42 +0000 Subject: [PATCH] readme updated for headless instructions --- Demo.ipynb | 182 ----------------------------------------------------- README.md | 4 ++ 2 files changed, 4 insertions(+), 182 deletions(-) delete mode 100644 Demo.ipynb diff --git a/Demo.ipynb b/Demo.ipynb deleted file mode 100644 index c049d31..0000000 --- a/Demo.ipynb +++ /dev/null @@ -1,182 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "id": "eae51654-4ccf-44ed-aaac-f1d993d7e4a1", - "metadata": {}, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt\n", - "from pyvirtualdisplay import Display\n", - "display = Display(visible=0, size=(1400, 900))\n", - "display.start()\n", - "\n", - "is_ipython = 'inline' in plt.get_backend()\n", - "if is_ipython:\n", - " from IPython import display\n", - "\n", - "plt.ion()\n", - "\n", - "# Load the gym environment" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "be872e01-e4fd-4940-874e-d46e97fb3519", - "metadata": {}, - "outputs": [], - "source": [ - "import gym\n", - "import random\n", - "%matplotlib inline\n", - "\n", - "env = gym.make('LunarLander-v2')\n", - "env.seed(23)\n", - "\n", - "# Let's watch how an untrained agent moves around\n", - "\n", - "state = env.reset()\n", - "img = plt.imshow(env.render(mode='rgb_array'))\n", - "for j in range(200):\n", - "# action = agent.act(state)\n", - " action = random.choice(range(4))\n", - " img.set_data(env.render(mode='rgb_array')) \n", - " plt.axis('off')\n", - " display.display(plt.gcf())\n", - " display.clear_output(wait=True)\n", - " state, reward, done, _ = env.step(action)\n", - " if done:\n", - " break\n", - "\n", - "env.close()" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "a9506e99-a947-4f69-8355-a3ce696793fa", - "metadata": {}, - "outputs": [], - "source": [ - "from main import train, test" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "de500d9e-40d1-4b6b-900f-96c2ec69e464", - "metadata": {}, - "outputs": [], - "source": [ - "data = pickle.load(open(\"data.pkl\", \"rb\"))" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "39ca7791-c844-4231-9f3b-e8ae80fe8103", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "MUD Point 346: [-0.08422888 -0.51024105 -0.3617006 -0.53822353]\n" - ] - } - ], - "source": [ - "mud_point = train(data)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "8d8c70ab-d055-418c-b67e-ba5109d989f3", - "metadata": {}, - "outputs": [ - { - "ename": "KeyboardInterrupt", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m/tmp/ipykernel_3199/2226980552.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmud_point\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - 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"\u001b[0;32m/opt/conda/lib/python3.9/site-packages/matplotlib/image.py\u001b[0m in \u001b[0;36mmake_image\u001b[0;34m(self, renderer, magnification, unsampled)\u001b[0m\n\u001b[1;32m 924\u001b[0m clip = ((self.get_clip_box() or self.axes.bbox) if self.get_clip_on()\n\u001b[1;32m 925\u001b[0m else self.figure.bbox)\n\u001b[0;32m--> 926\u001b[0;31m return self._make_image(self._A, bbox, transformed_bbox, clip,\n\u001b[0m\u001b[1;32m 927\u001b[0m magnification, unsampled=unsampled)\n\u001b[1;32m 928\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/opt/conda/lib/python3.9/site-packages/matplotlib/image.py\u001b[0m in \u001b[0;36m_make_image\u001b[0;34m(self, A, in_bbox, out_bbox, clip_bbox, magnification, unsampled, round_to_pixel_border)\u001b[0m\n\u001b[1;32m 549\u001b[0m output_alpha = _resample( # resample alpha channel\n\u001b[1;32m 550\u001b[0m self, A[..., 3], out_shape, t, alpha=alpha)\n\u001b[0;32m--> 551\u001b[0;31m output = _resample( # resample rgb channels\n\u001b[0m\u001b[1;32m 552\u001b[0m self, _rgb_to_rgba(A[..., :3]), out_shape, t, alpha=alpha)\n\u001b[1;32m 553\u001b[0m \u001b[0moutput\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m...\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m3\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0moutput_alpha\u001b[0m \u001b[0;31m# recombine rgb and alpha\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/opt/conda/lib/python3.9/site-packages/matplotlib/image.py\u001b[0m in \u001b[0;36m_resample\u001b[0;34m(image_obj, data, out_shape, transform, resample, alpha)\u001b[0m\n\u001b[1;32m 191\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mresample\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 192\u001b[0m \u001b[0mresample\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mimage_obj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_resample\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 193\u001b[0;31m _image.resample(data, out, transform,\n\u001b[0m\u001b[1;32m 194\u001b[0m \u001b[0m_interpd_\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0minterpolation\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 195\u001b[0m \u001b[0mresample\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mKeyboardInterrupt\u001b[0m: " - ] - }, - { - "data": { - "image/png": "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\n", - 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "test(mud_point)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "85c79a93-77c6-4b9b-b19f-da04ba1afbc7", - "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": "3.9.7" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/README.md b/README.md index 3bb4e28..00a2a22 100644 --- a/README.md +++ b/README.md @@ -45,3 +45,7 @@ Using the following presumptions, we can establish better values for the "data v > The angular momentum of the pole is the most important thing to stabilize. +# headless mode + +Run `./headless.sh` (requires `sudo`) to install virtual displays so you can view results in a Jupyter notebook. +