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Open-CV-Implementations
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‎README.md‎

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# Open-CV-Implementations
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This is a repository of code files which can be used to perform some basic tasks & operations using OpenCV.
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## Programs
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* [Loading & Displaying Images](https://github.com/altruistcoder/Open-CV-Implementations/blob/master/loading_displaying_images.ipynb):
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Python Code to load and display an image using OpenCV.
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* [Drawing Geometric Figures on Images](https://github.com/altruistcoder/Open-CV-Implementations/blob/master/drawing_figures_on_image.ipynb):
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Python Code to draw geometric figures like lines, rectangles, circles and concentric circles on an image using OpenCV.
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* [Geometric Transformations on Images](https://github.com/altruistcoder/Open-CV-Implementations/blob/master/geometric_transformations.ipynb):
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Python Code to perform Geometric Transformations like Image Translation, Rotation, Resizing, Flipping and Cropping of an image using OpenCV.

‎drawing_figures_on_image.ipynb‎

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Drawing different types of Figures on an 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": 1,
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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 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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"metadata": {},
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"source": [
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"## Drawing Line"
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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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"metadata": {},
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"outputs": [],
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"source": [
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"canvas1 = np.zeros((300, 300, 3), dtype=\"uint8\")\n",
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"cv2.imshow(\"Canvas 1\", canvas1)\n",
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"\n",
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"color1 = (255, 0, 0)\n",
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"cv2.line(canvas1, (0, 0), (300, 300), color1)\n",
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"cv2.imshow(\"Line1\", canvas1)\n",
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"\n",
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"color2 = (0, 255, 0)\n",
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"cv2.line(canvas1, (300, 0), (0, 300), color2, 5)\n",
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"cv2.imshow(\"Line2\", canvas1)\n",
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"\n",
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"cv2.waitKey(0)\n",
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"cv2.destroyAllWindows()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Drawing Rectangle"
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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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"metadata": {},
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"outputs": [],
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"source": [
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"canvas2 = np.zeros((300, 300, 3), dtype=\"uint8\")\n",
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"cv2.imshow(\"Canvas 2\", canvas2)\n",
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"\n",
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"color1 = (120, 200, 160)\n",
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"cv2.rectangle(canvas2, (10, 10), (60, 60), color1)\n",
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"cv2.imshow(\"Rectangle 1\", canvas2)\n",
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"\n",
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"color2 = (200, 200, 200)\n",
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"cv2.rectangle(canvas2, (210, 210), (250, 250), color2, 7)\n",
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"cv2.imshow(\"Rectangle 2\", canvas2)\n",
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"\n",
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"color3 = (255, 255, 255)\n",
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"cv2.rectangle(canvas2, (100, 100), (200, 200), color3, -1) # Value '-1' for thickness is used to fill \n",
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" # the rectangle with color\n",
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"cv2.imshow(\"Color Filled Rectangle\", canvas2)\n",
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"\n",
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"cv2.waitKey(0)\n",
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"cv2.destroyAllWindows()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Drawing Circle"
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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": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"canvas3 = np.zeros((300, 300, 3), dtype=\"uint8\")\n",
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"cv2.imshow(\"Canvas 3\", canvas3)\n",
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"\n",
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"color1 = (120, 200, 160)\n",
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"center1 = (canvas3.shape[1]//2, canvas3.shape[0]//2)\n",
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"cv2.circle(canvas3, center1, 20, color1)\n",
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"cv2.imshow(\"Circle 1\", canvas3)\n",
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"\n",
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"color2 = (200, 100, 100)\n",
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"center2 = (250, 250)\n",
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"cv2.circle(canvas3, center2, 40, color2)\n",
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"cv2.imshow(\"Circle 2\", canvas3)\n",
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"\n",
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"color3 = (255, 255, 255)\n",
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"center3 = (50, 50)\n",
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"cv2.circle(canvas3, center3, 30, color3, -1) # Value '-1' for thickness is used to fill \n",
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" # the rectangle with color\n",
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"cv2.imshow(\"Circle 3\", canvas3) \n",
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"\n",
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"\n",
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"cv2.waitKey(0)\n",
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"cv2.destroyAllWindows()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Concentric Circles"
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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": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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"canvas4 = np.zeros((300, 300, 3), dtype=\"uint8\")\n",
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"cv2.imshow(\"Canvas 4\", canvas4)\n",
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"\n",
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"for r in range(0, 175, 25):\n",
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" cv2.circle(canvas4, (150, 150), r, (255, 0, 0))\n",
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"\n",
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"cv2.imshow(\"Concentric Circles\", canvas4)\n",
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"cv2.waitKey(0)\n",
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"cv2.destroyAllWindows()"
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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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"metadata": {},
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"outputs": [],
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"source": []
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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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"metadata": {},
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"outputs": [],
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"source": []
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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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"metadata": {},
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"outputs": [],
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"source": []
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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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"metadata": {},
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"outputs": [],
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"source": []
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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",
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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": "3.6.5"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

‎geometric_transformations.ipynb‎

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‎loading_displaying_images.ipynb‎

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Loading and Displaying Images Using OpenCV"
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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": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import cv2"
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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": 18,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Height: 1365 pixels\n",
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"Width: 2048 pixels\n",
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"Channels: 3 pixels\n",
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"Code of Key pressed to destroy the window: 122\n"
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]
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}
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],
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"source": [
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"image = cv2.imread(\"sample_image.jpg\")\n",
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"cv2.imshow(\"Image\", image)\n",
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"\n",
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"print(\"Height: {} pixels\".format(image.shape[0]))\n",
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"print(\"Width: {} pixels\".format(image.shape[1]))\n",
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"print(\"Channels: {} pixels\".format(image.shape[2]))\n",
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"\n",
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"a = cv2.waitKey(0) # waitKey() function returns the ASCII Code of the key pressed to destroy the window.\n",
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"print(\"Code of Key pressed to destroy the window:\", a)\n",
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"cv2.destroyAllWindows()"
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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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"metadata": {},
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"outputs": [],
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"source": []
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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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"metadata": {},
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"outputs": [],
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"source": []
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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",
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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": "3.6.5"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

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