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PowerMiner/ClassifierTraining/testClassifier.py
2018-02-12 19:40:09 -05:00

19 lines
576 B
Python

import numpy as np
import cv2
willowCascade = cv2.CascadeClassifier('/home/dpapp/open/opencv-haar-classifier-training/classifier/stage8.xml')
img = cv2.imread('/home/dpapp/Desktop/RunescapeAIPics/CascadeTraining/Testing/screenshot1.jpg')
#gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
willows = willowCascade.detectMultiScale(img, 1.3, 5)
for (x,y,w,h) in willows:
cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
roi_gray = gray[y:y+h, x:x+w]
roi_color = img[y:y+h, x:x+w]
print("Found willow!")
cv2.imshow('img', img)
cv2.waitKey(0)
cv2.destroyAllWindows()