Created
May 30, 2018 18:46
-
-
Save TonsOfFun/f9fa0998e670db0c76d2446fc5943b9a to your computer and use it in GitHub Desktop.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "### Blur the image and generate mask using lower and upper bounds of the bud color" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": "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\n", | |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x7f1b024bf320>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "blurred = cv2.GaussianBlur(image, (11, 11), 0)\n", | |
| "hsv = cv2.cvtColor(blurred, cv2.COLOR_BGR2HSV)\n", | |
| "hsv_mask = cv2.inRange((hsv), bud_lower, bud_upper)\n", | |
| "plt.imshow(hsv_mask, cmap='gray')\n", | |
| "plt.title('range mask')\n", | |
| "plt.show()" | |
| ] | |
| } | |
| ], | |
| "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": "3.6.3" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 2 | |
| } |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment