代码

Day01/first.py

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+print("Pyhon学习，少年大成！")

commit.bat

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+git add*
+git commit -m "´úÂë"
+git push -u origin master

meiyong/.ipynb_checkpoints/Untitled-checkpoint.ipynb

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+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

meiyong/Untitled.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "51d12372-d40c-46da-9885-c971de4ff637",
+   "metadata": {},
+   "source": [
+    "1. 图像与矩阵"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "df794406-c938-48c9-9e68-50ad3024e0aa",
+   "metadata": {},
+   "source": [
+    "图像实际是一个矩阵\n",
+    "1.生成一个矩阵；二维数组\n",
+    "2.保存矩阵为图像文件"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "d79786fe-a079-41d5-927e-91825c705fa5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy  #  向量与矩阵运算库（线性代数运算库） 1.19.5\n",
+    "import cv2    #  opencv-python opencv-contrib-python:图像处理"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "b766f456-8738-4b0a-a0df-c5724dd4b0b1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#  生成数组\n",
+    "img_array =[[[0,0,255,128] for i in range(255)] for j in range(255)] # 255 * 255的图像，图像的像素[0,255,0,128]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "d73def62-50ae-4403-9499-7334a39975b0",
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true,
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#  cv2中只支持numpy的格式\n",
+    "img_numpy = numpy.array(img_array)\n",
+    "cv2.imwrite(\"1.jpg\", img_numpy)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5c4d5de7-a36e-43f6-8a7c-141099a80679",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1d440a24-b4a1-44f7-a5ed-8f1993935234",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "2."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1ff7edc2-6898-4a86-b7d8-ebff56ae8108",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5bcc53b9-2b58-44d9-bccb-5909bda70880",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "52e56471-6113-4c17-9da4-ca52c9f782d5",
+   "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": "3.9.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}