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Bitwise Operations
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‎.ipynb_checkpoints/bitwise_operations-checkpoint.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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"# Bitwise Operations"
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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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"import numpy as np\n",
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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": 9,
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"metadata": {},
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"outputs": [],
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"source": [
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"rectangle = np.zeros((300, 300), dtype=\"uint8\")\n",
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"cv2.rectangle(rectangle, (25, 25), (275, 275), (255, 255, 255), -1)\n",
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"cv2.imshow(\"Original Rectangle\", rectangle)\n",
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"\n",
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"circle = np.zeros((300, 300), dtype=\"uint8\")\n",
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"cv2.circle(circle, (150, 150), 150, (255, 255, 255), -1)\n",
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"cv2.imshow(\"Original Circle\", circle)\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": "code",
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"execution_count": 12,
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"metadata": {},
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"outputs": [],
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"source": [
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"bitwiseAnd = cv2.bitwise_and(rectangle, circle)\n",
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"cv2.imshow(\"AND\", bitwiseAnd)\n",
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"\n",
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"bitwiseOr = cv2.bitwise_or(rectangle, circle)\n",
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"cv2.imshow(\"OR\", bitwiseOr)\n",
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"\n",
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"bitwiseXor = cv2.bitwise_xor(rectangle, circle)\n",
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"cv2.imshow(\"XOR\", bitwiseXor)\n",
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"\n",
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"bitwiseNot1 = cv2.bitwise_not(rectangle)\n",
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"bitwiseNot2 = cv2.bitwise_not(circle)\n",
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"cv2.imshow(\"NOT-Rectangle\", bitwiseNot1)\n",
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"cv2.imshow(\"NOT-Circle\", bitwiseNot2)\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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"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": "3.5.2"
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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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}

‎README.md‎

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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.
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Python Code to perform Geometric Transformations like Image Translation, Rotation, Resizing, Flipping and Cropping of an image using OpenCV.
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* [Bitwise Operations on Images](https://github.com/altruistcoder/Open-CV-Implementations/blob/master/bitwise_operations.ipynb):
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Python Code to perform Bitwise operations like AND, OR, XOR and Not operations on an image using OpenCV.

‎bitwise_operations.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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"# Bitwise Operations"
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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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"import numpy as np\n",
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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": 9,
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"metadata": {},
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"outputs": [],
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"source": [
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"rectangle = np.zeros((300, 300), dtype=\"uint8\")\n",
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"cv2.rectangle(rectangle, (25, 25), (275, 275), (255, 255, 255), -1)\n",
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"cv2.imshow(\"Original Rectangle\", rectangle)\n",
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"\n",
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"circle = np.zeros((300, 300), dtype=\"uint8\")\n",
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"cv2.circle(circle, (150, 150), 150, (255, 255, 255), -1)\n",
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"cv2.imshow(\"Original Circle\", circle)\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": "code",
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"execution_count": 12,
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"metadata": {},
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"outputs": [],
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"source": [
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"bitwiseAnd = cv2.bitwise_and(rectangle, circle)\n",
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"cv2.imshow(\"AND\", bitwiseAnd)\n",
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"\n",
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"bitwiseOr = cv2.bitwise_or(rectangle, circle)\n",
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"cv2.imshow(\"OR\", bitwiseOr)\n",
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"\n",
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"bitwiseXor = cv2.bitwise_xor(rectangle, circle)\n",
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"cv2.imshow(\"XOR\", bitwiseXor)\n",
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"\n",
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"bitwiseNot1 = cv2.bitwise_not(rectangle)\n",
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"bitwiseNot2 = cv2.bitwise_not(circle)\n",
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"cv2.imshow(\"NOT-Rectangle\", bitwiseNot1)\n",
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"cv2.imshow(\"NOT-Circle\", bitwiseNot2)\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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"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": "3.5.2"
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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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