potok/opencv
1
0
Fork 0
mirror of https://github.com/opencv/opencv.git synced 2026-07-29 07:13:02 +04:00
Code Packages Releases Wiki Activity

python: 'cv2.' -> 'cv.' via 'import cv2 as cv'

Browse Source
This commit is contained in:
Alexander Alekhin
2017-12-11 12:55:03 +03:00
parent 9665dde678
commit 5560db73bf
162 changed files with 2083 additions and 2084 deletions
Download Patch File Download Diff File Expand all files Collapse all files
modules/python/test/test_facedetect.py
+6 -6
View File
@@ -8,11 +8,11 @@ face detection using haar cascades
from __future__ import print_function
import numpy as np
import cv2
import cv2 as cv
def detect(img, cascade):
rects = cascade.detectMultiScale(img, scaleFactor=1.3, minNeighbors=4, minSize=(30, 30),
flags=cv2.CASCADE_SCALE_IMAGE)
flags=cv.CASCADE_SCALE_IMAGE)
if len(rects) == 0:
return []
rects[:,2:] += rects[:,:2]
@@ -26,8 +26,8 @@ class facedetect_test(NewOpenCVTests):
cascade_fn = self.repoPath + '/data/haarcascades/haarcascade_frontalface_alt.xml'
nested_fn = self.repoPath + '/data/haarcascades/haarcascade_eye.xml'
cascade = cv2.CascadeClassifier(cascade_fn)
nested = cv2.CascadeClassifier(nested_fn)
cascade = cv.CascadeClassifier(cascade_fn)
nested = cv.CascadeClassifier(nested_fn)
samples = ['samples/data/lena.jpg', 'cv/cascadeandhog/images/mona-lisa.png']
@@ -49,8 +49,8 @@ class facedetect_test(NewOpenCVTests):
for sample in samples:
img = self.get_sample( sample)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
gray = cv2.GaussianBlur(gray, (5, 5), 5.1)
gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
gray = cv.GaussianBlur(gray, (5, 5), 5.1)
rects = detect(gray, cascade)
faces.append(rects)