zajecia 7
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408
zajecia7/1.ipynb
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408
zajecia7/1.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "93ee02c5-ef3a-45a8-8b70-8fbea3d13e3f",
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"metadata": {},
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"outputs": [],
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"source": [
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"#!pip install opencv-python"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "13e35e47-b4ac-435e-9f08-548e9f2bf8fe",
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"metadata": {},
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"outputs": [],
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"source": [
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"import cv2\n",
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"import matplotlib.pyplot as plt\n",
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"import numpy as np"
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]
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},
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{
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"cell_type": "markdown",
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"id": "48657490-18f4-4543-a04d-a47d3fc224bc",
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"metadata": {},
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"source": [
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"## gray image "
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]
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},
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{
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"cell_type": "markdown",
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"id": "db920f95-e851-4817-aeab-2d401f0a3a22",
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"metadata": {},
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"source": [
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"### zadanie 1:\n",
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"Znaleźć plik jpeg w internecie i zapisać go w zajecia7/image.jpeg"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "4b4b3502-678b-4206-a35c-09d0feb7c9ff",
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"metadata": {},
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"outputs": [
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{
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"ename": "NameError",
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"evalue": "name 'image' is not defined",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
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"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",
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"\u001b[0;31mNameError\u001b[0m: name 'image' is not defined"
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]
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}
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],
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"source": [
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"image_path = \"image.jpeg\"\n",
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"image = cv2.imread(image_path)\n",
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"gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "97e093c0-d5c8-4555-8f10-20913c46be8a",
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"metadata": {},
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"outputs": [],
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"source": [
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"gray_image"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "02a1fa48-c769-4d3c-912d-a6b48bcb7cad",
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"metadata": {},
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"outputs": [],
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"source": [
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"type(gray_image)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "0eada3fe-14f5-49e3-b8da-863fe412269e",
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"metadata": {},
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"outputs": [],
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"source": [
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"gray_image.shape"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "fe949d46-8dcb-4ce7-a364-fa8f7b672cd4",
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"metadata": {},
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"outputs": [],
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"source": [
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"def display_image(image):\n",
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" image_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n",
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" plt.imshow(image_rgb)\n",
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" plt.axis('off') # Turn off axes for better visualization\n",
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" plt.show()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "335d9707-5191-495e-a83d-c6edfccd2aac",
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"metadata": {
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"scrolled": true
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},
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"outputs": [],
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"source": [
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"display_image(gray_image)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "24d328f0-cd9c-43aa-b141-09cac4526f1c",
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"metadata": {},
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"source": [
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"## Colour image"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "6e693e57-1836-435a-8653-0eccf90db806",
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"metadata": {},
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"outputs": [],
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"source": [
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"image_path = \"image.jpeg\"\n",
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"image = cv2.imread(image_path)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "43e9aa78-dd87-482a-bc7a-005d069aa5b4",
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"metadata": {
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"scrolled": true
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},
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"outputs": [],
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"source": [
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"image"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "693ea83b-d225-4aaa-9c73-dce6ba5ecbcb",
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"metadata": {},
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"outputs": [],
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"source": [
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"type(image)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "ca7dfca2-9dcf-44d0-ba88-63d9f4b30ee4",
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"metadata": {},
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"outputs": [],
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"source": [
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"image.shape"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "3facc994-28d2-41df-ad7c-4a5232c00d44",
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"metadata": {},
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"outputs": [],
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"source": [
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"display_image(image)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "08b91659-4e61-4e3f-b7d9-87f0ca940eec",
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"metadata": {},
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"source": [
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"## plot gray histogram"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "2b9ca017-fce6-4475-acf4-c695c9a26c28",
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"metadata": {},
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"outputs": [],
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"source": [
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"colors = ('b', 'g', 'r')\n",
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"plt.figure()\n",
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"plt.title('gray histogram')\n",
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"plt.xlabel(\"Intensity\")\n",
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"plt.ylabel(\"Count\")\n",
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"\n",
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"hist = cv2.calcHist([gray_image], [0], None, [256], [0, 256])\n",
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"plt.plot(hist, color='k')\n",
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"plt.xlim([0, 256])\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "9da5405e-2244-42da-a9d2-a772f7ec839e",
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"metadata": {},
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"source": [
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"## plot BGR histogram"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "01578d20-c4d1-405d-92b3-49dca00c18e2",
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"metadata": {},
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"outputs": [],
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"source": [
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"colors = ('b', 'g', 'r')\n",
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"plt.figure()\n",
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"plt.title('colour histogram')\n",
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"plt.xlabel(\"Intensity\")\n",
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"plt.ylabel(\"Count\")\n",
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"\n",
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"for i, col in enumerate(colors):\n",
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" hist = cv2.calcHist([image], [i], None, [256], [0, 256])\n",
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" plt.plot(hist, color=col)\n",
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" plt.xlim([0, 256])\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "9ff191d8-d8a0-4ced-83e3-f2ea612e2235",
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"metadata": {},
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"source": [
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"### Image manipulation"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "99a849b8-6888-47ec-bc82-2081b3339fbc",
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"metadata": {},
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"outputs": [],
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"source": [
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"gray_image"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "60aea8ab-d00c-4191-a1a2-efb34e002f25",
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"metadata": {},
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"outputs": [],
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"source": [
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"gray_image_2 = gray_image.copy()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "69178e92-8dbb-4225-8214-0762bb3059b8",
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"metadata": {},
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"outputs": [],
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"source": [
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"gray_image_2[:100, :100] = 0\n",
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"gray_image_2[-50:, -50:] = 0"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "96933658-1f43-407b-8c0d-a9d70df55217",
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"metadata": {},
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"outputs": [],
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"source": [
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"display_image(gray_image)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "1c9f2872-5125-4e76-9bfb-75b0e295aba3",
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"metadata": {},
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"outputs": [],
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"source": [
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"gray_image_3 = gray_image.copy()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "c83a98e5-bd8e-4958-a77d-9de29d9c87d7",
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"metadata": {},
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"outputs": [],
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"source": [
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"binary_image = np.where(gray_image_3 > 128, 255, 0).astype(np.uint8)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "7fbdea96-4330-48a2-879b-2aebc02c90d7",
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"metadata": {
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"scrolled": true
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},
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"outputs": [],
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"source": [
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"display_image(binary_image)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d6ed47e6-437e-461c-abfe-75b3e8e27126",
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"metadata": {},
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"outputs": [],
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"source": [
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"gray_image_4 = gray_image.copy()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d6f48c0a-7a9b-4779-b5f4-ad6ab3de79c4",
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"metadata": {},
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"outputs": [],
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"source": [
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"gray_image_4 = gray_image_4[:,::-1]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "b5f1a58f-5290-43e0-9e05-cf0c1bf462f5",
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"metadata": {},
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"outputs": [],
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"source": [
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"display_image(gray_image_4)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "da05ee84-6739-4e68-918e-24329cc760ed",
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"metadata": {},
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"outputs": [],
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"source": [
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"gray_image_5 = gray_image.copy()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "907c80ca-18b4-4798-ae39-a2668aa640fc",
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"metadata": {},
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"outputs": [],
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"source": [
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"gray_image_5 = gray_image_5[::-1,:]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "ba190a3f-75fc-4fde-873a-f971730a2c7c",
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"metadata": {},
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"outputs": [],
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"source": [
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"display_image(gray_image_5)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "7a1aca09-d574-435a-b594-c694304f713f",
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"metadata": {},
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"source": [
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"### Zadanie 2 \n",
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"Wymyślić 3 inne manipulacje ze zdjęciem za pomocą numpy (można wspomagać się internetem) i wykonać je na swoim obrazku"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.7"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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