Change Color Space

BGR2HSV/BGR_to_HSV .ipynb

@@ -0,0 +1,62 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import cv2 as cv\n",
+    "import numpy as np\n",
+    "cap = cv.VideoCapture(0)\n",
+    "while(1):\n",
+    "    # Take each frame\n",
+    "    _, frame = cap.read()\n",
+    "    # Convert BGR to HSV\n",
+    "    hsv = cv.cvtColor(frame, cv.COLOR_BGR2HSV)\n",
+    "    # define range of blue color in HSV\n",
+    "    lower_blue = np.array([110,50,50])\n",
+    "    upper_blue = np.array([130,255,255])\n",
+    "    # Threshold the HSV image to get only blue colors\n",
+    "    mask = cv.inRange(hsv, lower_blue, upper_blue)\n",
+    "    # Bitwise-AND mask and original image\n",
+    "    res = cv.bitwise_and(frame,frame, mask= mask)\n",
+    "    cv.imshow('frame',frame)\n",
+    "    cv.imshow('mask',mask)\n",
+    "    cv.imshow('res',res)\n",
+    "    k = cv.waitKey(5) & 0xFF\n",
+    "    if k == 27:\n",
+    "        break\n",
+    "cv.destroyAllWindows()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

BGR2HSV/README.md

@@ -0,0 +1,30 @@
+
+<![endif]-->
+
+# Change Color Space
+
+
+## Goal[](https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_imgproc/py_colorspaces/py_colorspaces.html#goal "Permalink to this headline")
+
+> -   In this tutorial, you will learn how to convert images from one color-space to another, like BGR  ![\leftrightarrow](https://opencv-python-tutroals.readthedocs.io/en/latest/_images/math/41a61df92c33a32be9fd6375536739eca63f43ab.png)  Gray, BGR  ![\leftrightarrow](https://opencv-python-tutroals.readthedocs.io/en/latest/_images/math/41a61df92c33a32be9fd6375536739eca63f43ab.png)  HSV etc.
+> -   In addition to that, we will create an application which extracts a colored object in a video
+> -   You will learn following functions :  **cv2.cvtColor()**,  **cv2.inRange()**  etc.
+## # Changing Color space
+
+
+There are more than 150 color-space conversion methods available in OpenCV. But we will look into only two which are most widely used ones, BGR  ![\leftrightarrow](https://opencv-python-tutroals.readthedocs.io/en/latest/_images/math/41a61df92c33a32be9fd6375536739eca63f43ab.png)  Gray and BGR  ![\leftrightarrow](https://opencv-python-tutroals.readthedocs.io/en/latest/_images/math/41a61df92c33a32be9fd6375536739eca63f43ab.png)  HSV.
+
+For color conversion, we use the function  `cv2.cvtColor(input_image,  flag)`  where  `flag`  determines the type of conversion.
+
+For BGR  ![\rightarrow](https://opencv-python-tutroals.readthedocs.io/en/latest/_images/math/a9c4c6156d25f42923975ce449aadad9848ed7dc.png)  Gray conversion we use the flags  `cv2.COLOR_BGR2GRAY`. Similarly for BGR  ![\rightarrow](https://opencv-python-tutroals.readthedocs.io/en/latest/_images/math/a9c4c6156d25f42923975ce449aadad9848ed7dc.png)  HSV, we use the flag  `cv2.COLOR_BGR2HSV`. To get other flags, just run following commands in your Python terminal
+>>> import cv2
+>>> flags = [i for i in dir(cv2) if i.startswith('COLOR_')]
+>>> print flags
+
+## How to Use
+
+1. Run the notebook file 
+(webcam starts)
+2. Three new windows opens showcasing the outputs
+
+

ChangeColorSpace/BGR2HSV/BGR_to_HSV .ipynb

@@ -0,0 +1,62 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import cv2 as cv\n",
+    "import numpy as np\n",
+    "cap = cv.VideoCapture(0)\n",
+    "while(1):\n",
+    "    # Take each frame\n",
+    "    _, frame = cap.read()\n",
+    "    # Convert BGR to HSV\n",
+    "    hsv = cv.cvtColor(frame, cv.COLOR_BGR2HSV)\n",
+    "    # define range of blue color in HSV\n",
+    "    lower_blue = np.array([110,50,50])\n",
+    "    upper_blue = np.array([130,255,255])\n",
+    "    # Threshold the HSV image to get only blue colors\n",
+    "    mask = cv.inRange(hsv, lower_blue, upper_blue)\n",
+    "    # Bitwise-AND mask and original image\n",
+    "    res = cv.bitwise_and(frame,frame, mask= mask)\n",
+    "    cv.imshow('frame',frame)\n",
+    "    cv.imshow('mask',mask)\n",
+    "    cv.imshow('res',res)\n",
+    "    k = cv.waitKey(5) & 0xFF\n",
+    "    if k == 27:\n",
+    "        break\n",
+    "cv.destroyAllWindows()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

ChangeColorSpace/BGR2HSV/README.md

@@ -0,0 +1,30 @@
+
+<![endif]-->
+
+# Change Color Space
+
+
+## Goal[](https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_imgproc/py_colorspaces/py_colorspaces.html#goal "Permalink to this headline")
+
+> -   In this tutorial, you will learn how to convert images from one color-space to another, like BGR  ![\leftrightarrow](https://opencv-python-tutroals.readthedocs.io/en/latest/_images/math/41a61df92c33a32be9fd6375536739eca63f43ab.png)  Gray, BGR  ![\leftrightarrow](https://opencv-python-tutroals.readthedocs.io/en/latest/_images/math/41a61df92c33a32be9fd6375536739eca63f43ab.png)  HSV etc.
+> -   In addition to that, we will create an application which extracts a colored object in a video
+> -   You will learn following functions :  **cv2.cvtColor()**,  **cv2.inRange()**  etc.
+## # Changing Color space
+
+
+There are more than 150 color-space conversion methods available in OpenCV. But we will look into only two which are most widely used ones, BGR  ![\leftrightarrow](https://opencv-python-tutroals.readthedocs.io/en/latest/_images/math/41a61df92c33a32be9fd6375536739eca63f43ab.png)  Gray and BGR  ![\leftrightarrow](https://opencv-python-tutroals.readthedocs.io/en/latest/_images/math/41a61df92c33a32be9fd6375536739eca63f43ab.png)  HSV.
+
+For color conversion, we use the function  `cv2.cvtColor(input_image,  flag)`  where  `flag`  determines the type of conversion.
+
+For BGR  ![\rightarrow](https://opencv-python-tutroals.readthedocs.io/en/latest/_images/math/a9c4c6156d25f42923975ce449aadad9848ed7dc.png)  Gray conversion we use the flags  `cv2.COLOR_BGR2GRAY`. Similarly for BGR  ![\rightarrow](https://opencv-python-tutroals.readthedocs.io/en/latest/_images/math/a9c4c6156d25f42923975ce449aadad9848ed7dc.png)  HSV, we use the flag  `cv2.COLOR_BGR2HSV`. To get other flags, just run following commands in your Python terminal
+>>> import cv2
+>>> flags = [i for i in dir(cv2) if i.startswith('COLOR_')]
+>>> print flags
+
+## How to Use
+
+1. Run the notebook file 
+(webcam starts)
+2. Three new windows opens showcasing the outputs
+
+