{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "93ee02c5-ef3a-45a8-8b70-8fbea3d13e3f",
   "metadata": {},
   "outputs": [],
   "source": [
    "#!pip install opencv-python"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "13e35e47-b4ac-435e-9f08-548e9f2bf8fe",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "48657490-18f4-4543-a04d-a47d3fc224bc",
   "metadata": {},
   "source": [
    "## gray image "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "db920f95-e851-4817-aeab-2d401f0a3a22",
   "metadata": {},
   "source": [
    "### zadanie 1:\n",
    "Znaleźć plik jpeg w internecie i zapisać go w zajecia7/image.jpeg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "4b4b3502-678b-4206-a35c-09d0feb7c9ff",
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'image' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[3], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m image_path \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mimage.jpeg\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m      2\u001b[0m aimage \u001b[38;5;241m=\u001b[39m cv2\u001b[38;5;241m.\u001b[39mimread(image_path)\n\u001b[0;32m----> 3\u001b[0m gray_image \u001b[38;5;241m=\u001b[39m cv2\u001b[38;5;241m.\u001b[39mcvtColor(image, cv2\u001b[38;5;241m.\u001b[39mCOLOR_BGR2GRAY)\n",
      "\u001b[0;31mNameError\u001b[0m: name 'image' is not defined"
     ]
    }
   ],
   "source": [
    "image_path = \"image.jpeg\"\n",
    "image = cv2.imread(image_path)\n",
    "gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "97e093c0-d5c8-4555-8f10-20913c46be8a",
   "metadata": {},
   "outputs": [],
   "source": [
    "gray_image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "02a1fa48-c769-4d3c-912d-a6b48bcb7cad",
   "metadata": {},
   "outputs": [],
   "source": [
    "type(gray_image)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0eada3fe-14f5-49e3-b8da-863fe412269e",
   "metadata": {},
   "outputs": [],
   "source": [
    "gray_image.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fe949d46-8dcb-4ce7-a364-fa8f7b672cd4",
   "metadata": {},
   "outputs": [],
   "source": [
    "def display_image(image):\n",
    "    image_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n",
    "    plt.imshow(image_rgb)\n",
    "    plt.axis('off')  # Turn off axes for better visualization\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "335d9707-5191-495e-a83d-c6edfccd2aac",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "display_image(gray_image)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "24d328f0-cd9c-43aa-b141-09cac4526f1c",
   "metadata": {},
   "source": [
    "## Colour image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6e693e57-1836-435a-8653-0eccf90db806",
   "metadata": {},
   "outputs": [],
   "source": [
    "image_path = \"image.jpeg\"\n",
    "image = cv2.imread(image_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "43e9aa78-dd87-482a-bc7a-005d069aa5b4",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "693ea83b-d225-4aaa-9c73-dce6ba5ecbcb",
   "metadata": {},
   "outputs": [],
   "source": [
    "type(image)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ca7dfca2-9dcf-44d0-ba88-63d9f4b30ee4",
   "metadata": {},
   "outputs": [],
   "source": [
    "image.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3facc994-28d2-41df-ad7c-4a5232c00d44",
   "metadata": {},
   "outputs": [],
   "source": [
    "display_image(image)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "08b91659-4e61-4e3f-b7d9-87f0ca940eec",
   "metadata": {},
   "source": [
    "## plot gray histogram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2b9ca017-fce6-4475-acf4-c695c9a26c28",
   "metadata": {},
   "outputs": [],
   "source": [
    "colors = ('b', 'g', 'r')\n",
    "plt.figure()\n",
    "plt.title('gray histogram')\n",
    "plt.xlabel(\"Intensity\")\n",
    "plt.ylabel(\"Count\")\n",
    "\n",
    "hist = cv2.calcHist([gray_image], [0], None, [256], [0, 256])\n",
    "plt.plot(hist, color='k')\n",
    "plt.xlim([0, 256])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9da5405e-2244-42da-a9d2-a772f7ec839e",
   "metadata": {},
   "source": [
    "## plot BGR histogram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "01578d20-c4d1-405d-92b3-49dca00c18e2",
   "metadata": {},
   "outputs": [],
   "source": [
    "colors = ('b', 'g', 'r')\n",
    "plt.figure()\n",
    "plt.title('colour histogram')\n",
    "plt.xlabel(\"Intensity\")\n",
    "plt.ylabel(\"Count\")\n",
    "\n",
    "for i, col in enumerate(colors):\n",
    "    hist = cv2.calcHist([image], [i], None, [256], [0, 256])\n",
    "    plt.plot(hist, color=col)\n",
    "    plt.xlim([0, 256])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9ff191d8-d8a0-4ced-83e3-f2ea612e2235",
   "metadata": {},
   "source": [
    "### Image manipulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "99a849b8-6888-47ec-bc82-2081b3339fbc",
   "metadata": {},
   "outputs": [],
   "source": [
    "gray_image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "60aea8ab-d00c-4191-a1a2-efb34e002f25",
   "metadata": {},
   "outputs": [],
   "source": [
    "gray_image_2 = gray_image.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "69178e92-8dbb-4225-8214-0762bb3059b8",
   "metadata": {},
   "outputs": [],
   "source": [
    "gray_image_2[:100, :100] = 0\n",
    "gray_image_2[-50:, -50:] = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "96933658-1f43-407b-8c0d-a9d70df55217",
   "metadata": {},
   "outputs": [],
   "source": [
    "display_image(gray_image)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1c9f2872-5125-4e76-9bfb-75b0e295aba3",
   "metadata": {},
   "outputs": [],
   "source": [
    "gray_image_3 = gray_image.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c83a98e5-bd8e-4958-a77d-9de29d9c87d7",
   "metadata": {},
   "outputs": [],
   "source": [
    "binary_image = np.where(gray_image_3 > 128, 255, 0).astype(np.uint8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7fbdea96-4330-48a2-879b-2aebc02c90d7",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "display_image(binary_image)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d6ed47e6-437e-461c-abfe-75b3e8e27126",
   "metadata": {},
   "outputs": [],
   "source": [
    "gray_image_4 = gray_image.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d6f48c0a-7a9b-4779-b5f4-ad6ab3de79c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "gray_image_4 = gray_image_4[:,::-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b5f1a58f-5290-43e0-9e05-cf0c1bf462f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "display_image(gray_image_4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "da05ee84-6739-4e68-918e-24329cc760ed",
   "metadata": {},
   "outputs": [],
   "source": [
    "gray_image_5 = gray_image.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "907c80ca-18b4-4798-ae39-a2668aa640fc",
   "metadata": {},
   "outputs": [],
   "source": [
    "gray_image_5 = gray_image_5[::-1,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ba190a3f-75fc-4fde-873a-f971730a2c7c",
   "metadata": {},
   "outputs": [],
   "source": [
    "display_image(gray_image_5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a1aca09-d574-435a-b594-c694304f713f",
   "metadata": {},
   "source": [
    "### Zadanie 2 \n",
    "Wymyślić 3 inne manipulacje ze zdjęciem za pomocą numpy (można wspomagać się internetem) i wykonać je na swoim obrazku"
   ]
  }
 ],
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