{ "cells": [ { "cell_type": "code", "execution_count": 68, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 68, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import numpy\n", "import base64\n", "import io\n", "import time\n", "import requests\n", "from PIL import Image, ImageDraw, ImageFont\n", "\n", "import server\n", "import importlib\n", "importlib.reload(server)" ] }, { "cell_type": "code", "execution_count": 103, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " {}\n" ] } ], "source": [ "font = ImageFont.load_default()\n", "\n", "def random_image_b64(width=640, height=480):\n", " image = Image.fromarray(\n", " numpy.random.randint(0, 1, (height, width, 3), dtype=numpy.uint8), 'RGB')\n", "\n", " buffer = io.BytesIO()\n", " image.save(buffer, format=\"JPEG\")\n", " image_b64 = base64.b64encode(buffer.getvalue()).decode('utf-8')\n", " return image_b64\n", "\n", "while True:\n", " image_b64 = random_image_b64()\n", "\n", " response = requests.post(\n", " url=\"http://localhost:60000/update\", \n", " json={\"image\": image_b64, \"image_extra\": image_b64})\n", " \n", " print(response, response.json())\n", "\n", " break" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.10.12" } }, "nbformat": 4, "nbformat_minor": 2 }