From c3ef6e866f7d8569cf561fb3524485eed43c9895 Mon Sep 17 00:00:00 2001
From: Alexander Mordvintsev <no@email>
Date: Thu, 7 Jul 2011 22:33:36 +0000
Subject: [PATCH] facedetect.py sample works
---
samples/python2/facedetect.py | 38 +++++++++++++++++++++++++++++++----
1 file changed, 34 insertions(+), 4 deletions(-)
diff --git a/samples/python2/facedetect.py b/samples/python2/facedetect.py
index 29b744730f..4eed36f6ed 100644
--- a/samples/python2/facedetect.py
+++ b/samples/python2/facedetect.py
@@ -1,22 +1,52 @@
import numpy as np
-import cv2
+import cv2, cv
from video import create_capture
+help_message = '''
+USAGE: facedetect.py [--cascade <cascade_fn>] [--nested-cascade <cascade_fn>] [<video_source>]
+'''
+
+def detect(img, cascade):
+ rects = cascade.detectMultiScale(img, scaleFactor=1.3, minNeighbors=4, minSize=(30, 30))
+ if len(rects) == 0:
+ return []
+ rects[:,2:] += rects[:,:2]
+ return rects
+
+def draw_rects(img, rects, color):
+ for x1, y1, x2, y2 in rects:
+ cv2.rectangle(img, (x1, y1), (x2, y2), color)
+
if __name__ == '__main__':
import sys, getopt
+ print help_message
args, video_src = getopt.getopt(sys.argv[1:], '', ['cascade=', 'nested-cascade='])
try: video_src = video_src[0]
- except: video_src = '0'
+ except: video_src = 'synth:bg=../cpp/lena.jpg:noise=0.05'
+ args = dict(args)
cascade_fn = args.get('--cascade', "../../data/haarcascades/haarcascade_frontalface_alt.xml")
- nested_fn = args.get('--nested-cascade', "../../data/haarcascades/haarcascade_eye.xml.xml")
+ nested_fn = args.get('--nested-cascade', "../../data/haarcascades/haarcascade_eye.xml")
+ cascade = cv2.CascadeClassifier(cascade_fn)
+ nested = cv2.CascadeClassifier(nested_fn)
cam = create_capture(video_src)
while True:
ret, img = cam.read()
- cv2.imshow('facedetect', img)
+ gray = cv2.cvtColor(img, cv.CV_BGR2GRAY)
+ gray = cv2.equalizeHist(gray)
+ rects = detect(gray, cascade)
+ vis = cv2.cvtColor(gray, cv.CV_GRAY2BGR)
+ draw_rects(vis, rects, (0, 255, 0))
+ for x1, y1, x2, y2 in rects:
+ roi = gray[y1:y2, x1:x2]
+ vis_roi = vis[y1:y2, x1:x2]
+ subrects = detect(roi.copy(), nested)
+ draw_rects(vis_roi, subrects, (255, 0, 0))
+
+ cv2.imshow('facedetect', vis)
if cv2.waitKey(5) == 27:
break