Download scripts/test.py from Jimut123/RV-PBS: direct link, hf CLI and curl.
- Browser
- Download file 994 Bytes
-
https://huggingface.co/datasets/Jimut123/RV-PBS/resolve/main/scripts/test.py
- Command line
-
hf download hf://datasets/Jimut123/RV-PBS/scripts/test.py
-
curl -L -o test.py https://huggingface.co/datasets/Jimut123/RV-PBS/resolve/main/scripts/test.py
994 Bytes
| import numpy as np | |
| import cv2 as cv | |
| from matplotlib import pyplot as plt | |
| img = cv.imread('IMG_2799.jpg') | |
| print(img.shape) | |
| img = cv.resize(img,(400, 300), cv.INTER_AREA) | |
| # Convert BGR to HSV | |
| hsv = cv.cvtColor(img, cv.COLOR_BGR2HSV) | |
| # define range of blue color in HSV | |
| lower_blue = np.array([100,20,20]) | |
| upper_blue = np.array([300,255,255]) | |
| # Threshold the HSV image to get only blue colors | |
| mask = cv.inRange(hsv, lower_blue, upper_blue) | |
| # Bitwise-AND mask and original image | |
| res = cv.bitwise_and(hsv,hsv, mask= mask) | |
| plt.figure(figsize=(20, 10)) | |
| plt.subplot(121) | |
| plt.imshow(img) | |
| plt.subplot(122) | |
| plt.imshow(mask) | |
| # noise removal | |
| kernel = np.ones((5,5),np.uint8) | |
| opening = cv.morphologyEx(mask,cv.MORPH_OPEN,kernel, iterations = 2) | |
| # sure background area | |
| sure_bg = cv.dilate(opening,kernel,iterations=1) | |
| plt.figure(figsize=(10,10)) | |
| plt.subplot(221) | |
| plt.imshow(img) | |
| plt.subplot(222) | |
| plt.imshow(mask) | |
| plt.subplot(223) | |
| plt.imshow(opening) | |
| plt.subplot(224) | |
| plt.imshow(sure_bg) | |
| plt.show() | |