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Merge pull request #1 from Yathsih/Image-Processing
Image Processing
2 parents ebac61f + f2b6c63 commit 970a901

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‎00-Opening-Image-Files-in-a-Notebook.ipynb

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‎01-Opening-Image-Files-OpenCV.py

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import cv2
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img = cv2.imread('DATA/00-puppy.jpg')
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while True:
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cv2.imshow('Puppy',img)
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# EXPLANATION FOR THIS LINE OF CODE:
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# https://stackoverflow.com/questions/35372700/whats-0xff-for-in-cv2-waitkey1/39201163
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# IF we've waited at least 1 ms AND we've pressed the Esc
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if cv2.waitKey(1) & 0xFF == 27:
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break
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cv2.destroyAllWindows()

‎01-Opening-Images-with-OpenCV.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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"<a href=\"https://www.pieriandata.com\"><img src=\"../DATA/Logo.jpg\"></a>\n",
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"\n",
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"# Opening Image Files with OpenCV"
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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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"OpenCV can open images in separate outside windows when you run a .py script. Keep in mind, at the moment, this often doesn't work with the iPython kernel in a Jupyter notebook for some complex reasons. (It's an open issue on the github page since solutions stil vary drastically depending on the user's OS).\n",
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"\n",
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"Let's explore how we can use Open CV to open files in a separate window. Typically you would run these sort of commands as a script! So we've also included a .py script that goes along with this lecture."
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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": 6,
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"metadata": {},
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"outputs": [],
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"source": [
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"# MUST BE RUN AS .py SCRIPT IN ORDER TO WORK.\n",
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"# PLEASE MAKE SURE TO WATCH THE FULL VIDEO FOR THE EXPLANATION TO THIS NOTEBOOK\n",
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"# TO BE CLEAR: RUNNING THIS CELL WILL KILL THE KERNEL IF YOU USE JUPYTER DIRECTLY\n",
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"\n",
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"import cv2\n",
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"\n",
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"img = cv2.imread('../DATA/00-puppy.jpg',cv2.IMREAD_GRAYSCALE)\n",
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"# Show the image with OpenCV\n",
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"cv2.imshow('window_name',img)\n",
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"# Wait for something on keyboard to be pressed to close window.\n",
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"cv2.waitKey()"
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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",
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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": "3.6.6"
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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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}

‎02-Drawing-on-Images.ipynb

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‎03-Direct-Drawing-with-Mouse.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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"<a href=\"https://www.pieriandata.com\"><img src=\"../DATA/Logo.jpg\"></a>"
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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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"# Direct Drawing with Mouse\n",
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"\n",
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"## NOTE: THESE SHOULD ALL BE RUN AS A .py SCRIPT. View video for full details."
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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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"## SCRIPT 1: Connecting a Function for Drawing"
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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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"collapsed": true
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},
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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\n",
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"# Create a function based on a CV2 Event (Left button click)\n",
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"def draw_circle(event,x,y,flags,param):\n",
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" if event == cv2.EVENT_LBUTTONDOWN:\n",
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" cv2.circle(img,(x,y),100,(0,255,0),-1)\n",
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"\n",
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"# Create a black image\n",
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"img = np.zeros((512,512,3), np.uint8)\n",
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"# This names the window so we can reference it \n",
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"cv2.namedWindow(winname='my_drawing')\n",
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"# Connects the mouse button to our callback function\n",
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"cv2.setMouseCallback('my_drawing',draw_circle)\n",
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"\n",
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"while True: #Runs forever until we break with Esc key on keyboard\n",
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" # Shows the image window\n",
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" cv2.imshow('my_drawing',img)\n",
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" # EXPLANATION FOR THIS LINE OF CODE:\n",
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" # https://stackoverflow.com/questions/35372700/whats-0xff-for-in-cv2-waitkey1/39201163\n",
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" if cv2.waitKey(20) & 0xFF == 27:\n",
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" break\n",
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"# Once script is done, its usually good practice to call this line\n",
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"# It closes all windows (just in case you have multiple windows called)\n",
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"cv2.destroyAllWindows()\n"
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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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"## SCRIPT 2: Adding Functionality with Event Choices"
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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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"---------"
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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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"collapsed": true
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},
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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\n",
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"\n",
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"\n",
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"# Create a function based on a CV2 Event (Left button click)\n",
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"def draw_circle(event,x,y,flags,param):\n",
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" if event == cv2.EVENT_LBUTTONDOWN:\n",
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" cv2.circle(img,(x,y),100,(0,255,0),-1)\n",
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" elif event == cv2.EVENT_RBUTTONDOWN:\n",
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" cv2.circle(img,(x,y),100,(0,0,255),-1)\n",
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" \n",
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"\n",
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"# Create a black image\n",
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"img = np.zeros((512,512,3), np.uint8)\n",
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"# This names the window so we can reference it \n",
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"cv2.namedWindow(winname='my_drawing')\n",
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"# Connects the mouse button to our callback function\n",
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"cv2.setMouseCallback('my_drawing',draw_circle)\n",
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"\n",
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"while True: #Runs forever until we break with Esc key on keyboard\n",
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" # Shows the image window\n",
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" cv2.imshow('my_drawing',img)\n",
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" # EXPLANATION FOR THIS LINE OF CODE:\n",
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" # https://stackoverflow.com/questions/35372700/whats-0xff-for-in-cv2-waitkey1/39201163\n",
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" if cv2.waitKey(20) & 0xFF == 27:\n",
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" break\n",
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"# Once script is done, its usually good practice to call this line\n",
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"# It closes all windows (just in case you have multiple windows called)\n",
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"cv2.destroyAllWindows()\n"
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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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"# SCRIPT 3: Dragging with Mouse"
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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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"import cv2\n",
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"import numpy as np\n",
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"\n",
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"\n",
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"# Create a function based on a CV2 Event (Left button click)\n",
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"drawing = False # True if mouse is pressed\n",
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"ix,iy = -1,-1\n",
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"\n",
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"# mouse callback function\n",
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"def draw_rectangle(event,x,y,flags,param):\n",
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" global ix,iy,drawing,mode\n",
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"\n",
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" if event == cv2.EVENT_LBUTTONDOWN:\n",
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" # When you click DOWN with left mouse button drawing is set to True\n",
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" drawing = True\n",
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" # Then we take note of where that mouse was located\n",
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" ix,iy = x,y\n",
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"\n",
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" elif event == cv2.EVENT_MOUSEMOVE:\n",
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" # Now the mouse is moving\n",
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" if drawing == True:\n",
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" # If drawing is True, it means you've already clicked on the left mouse button\n",
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" # We draw a rectangle from the previous position to the x,y where the mouse is\n",
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" cv2.rectangle(img,(ix,iy),(x,y),(0,255,0),-1)\n",
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" \n",
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"\n",
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" elif event == cv2.EVENT_LBUTTONUP:\n",
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" # Once you lift the mouse button, drawing is False\n",
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" drawing = False\n",
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" # we complete the rectangle.\n",
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" cv2.rectangle(img,(ix,iy),(x,y),(0,255,0),-1)\n",
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" \n",
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" \n",
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"\n",
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"# Create a black image\n",
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"img = np.zeros((512,512,3), np.uint8)\n",
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"# This names the window so we can reference it \n",
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"cv2.namedWindow(winname='my_drawing')\n",
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"# Connects the mouse button to our callback function\n",
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"cv2.setMouseCallback('my_drawing',draw_rectangle)\n",
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"\n",
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"while True: #Runs forever until we break with Esc key on keyboard\n",
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" # Shows the image window\n",
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" cv2.imshow('my_drawing',img)\n",
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" # EXPLANATION FOR THIS LINE OF CODE:\n",
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" # https://stackoverflow.com/questions/35372700/whats-0xff-for-in-cv2-waitkey1/39201163\n",
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" \n",
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" # CHECK TO SEE IF ESC WAS PRESSED ON KEYBOARD\n",
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" if cv2.waitKey(1) & 0xFF == 27:\n",
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" break\n",
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"# Once script is done, its usually good practice to call this line\n",
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"# It closes all windows (just in case you have multiple windows called)\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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"collapsed": true
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},
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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": "3.6.6"
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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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