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   "id": "f9c4296c-5816-4fcf-9ae2-88d6bb92f0f1",
   "metadata": {
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   },
   "source": [
    "# 1.图像与矩阵"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3bccfbd6-bf4f-45b9-b91d-a5b0ceaf07a3",
   "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": null,
   "id": "5896de90-8cdf-4171-95cc-b3dcda6a1cc0",
   "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\n",
    "# 生成数组\n",
    "img_array = [[[0, 255, 255, 50] for i in range(50)] for j in range(50)] # 255 * 255的图像，图像的像素[0, 255, 0, 128]\n",
    "# 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": "code",
   "execution_count": null,
   "id": "d786e85e-1271-4c24-a5fe-6f2cee1ce394",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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