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work on digits_video.py

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This commit is contained in:
Alexander Mordvintsev 2012-07-12 11:51:27 +00:00
parent 9f0a16c844
commit 65e2350606
2 changed files with 40 additions and 26 deletions
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65
samples/python2/digits_video.py
View File

@ -1,70 +1,83 @@
import numpy as np
import cv2
import os
import sys
import video
from common import mosaic
from digits import *
def main():
cap = video.create_capture()
try: src = sys.argv[1]
except: src = 0
cap = video.create_capture(src)
classifier_fn = 'digits_svm.dat'
if not os.path.exists(classifier_fn):
print '"%s" not found, run digits.py first' % classifier_fn
return
model = SVM()
model.load('digits_svm.dat')
model.load(classifier_fn)
while True:
ret, frame = cap.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
bin = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY_INV, 31, 10)
bin = cv2.medianBlur(bin, 3)
contours, heirs = cv2.findContours( bin.copy(), cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
rects = map(cv2.boundingRect, contours)
valid_flags = [ 16 <= h <= 64 and w <= 1.2*h for x, y, w, h in rects]
contours, heirs = cv2.findContours( bin.copy(), cv2.RETR_CCOMP, cv2.CHAIN_APPROX_SIMPLE)
try: heirs = heirs[0]
except: heirs = []
for i, cnt in enumerate(contours):
if not valid_flags[i]:
for cnt, heir in zip(contours, heirs):
_, _, _, outer_i = heir
if outer_i >= 0:
continue
_, _, _, outer_i = heirs[0, i]
if outer_i >=0 and valid_flags[outer_i]:
x, y, w, h = cv2.boundingRect(cnt)
if not (16 <= h <= 64 and w <= 1.2*h):
continue
x, y, w, h = rects[i]
pad = max(h-w, 0)
x, w = x-pad/2, w+pad
cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0))
sub = bin[y:,x:][:h,:w]
#sub = ~cv2.equalizeHist(sub)
#_, sub_bin = cv2.threshold(sub, 0, 255, cv2.THRESH_BINARY_INV | cv2.THRESH_OTSU)
s = 1.5*float(h)/SZ
m = cv2.moments(sub)
m00 = m['m00']
if m00/255 < 0.1*w*h or m00/255 > 0.9*w*h:
bin_roi = bin[y:,x:][:h,:w]
gray_roi = gray[y:,x:][:h,:w]
m = bin_roi != 0
if not 0.1 < m.mean() < 0.4:
continue
c1 = np.float32([m['m10'], m['m01']]) / m00
'''
v_in, v_out = gray_roi[m], gray_roi[~m]
if v_out.std() > 10.0:
continue
s = "%f, %f" % (abs(v_in.mean() - v_out.mean()), v_out.std())
cv2.putText(frame, s, (x, y), cv2.FONT_HERSHEY_PLAIN, 1.0, (200, 0, 0), thickness = 1)
'''
s = 1.5*float(h)/SZ
m = cv2.moments(bin_roi)
c1 = np.float32([m['m10'], m['m01']]) / m['m00']
c0 = np.float32([SZ/2, SZ/2])
t = c1 - s*c0
A = np.zeros((2, 3), np.float32)
A[:,:2] = np.eye(2)*s
A[:,2] = t
sub1 = cv2.warpAffine(sub, A, (SZ, SZ), flags=cv2.WARP_INVERSE_MAP | cv2.INTER_LINEAR)
sub1 = deskew(sub1)
bin_norm = cv2.warpAffine(bin_roi, A, (SZ, SZ), flags=cv2.WARP_INVERSE_MAP | cv2.INTER_LINEAR)
bin_norm = deskew(bin_norm)
if x+w+SZ < frame.shape[1] and y+SZ < frame.shape[0]:
frame[y:,x+w:][:SZ, :SZ] = sub1[...,np.newaxis]
frame[y:,x+w:][:SZ, :SZ] = bin_norm[...,np.newaxis]
sample = preprocess_hog([sub1])
sample = preprocess_hog([bin_norm])
digit = model.predict(sample)[0]
cv2.putText(frame, '%d'%digit, (x, y), cv2.FONT_HERSHEY_PLAIN, 1.0, (200, 0, 0), thickness = 1)
cv2.imshow('frame', frame)
cv2.imshow('bin', bin)
if cv2.waitKey(1) == 27:
ch = cv2.waitKey(1)
if ch == 27:
break
if __name__ == '__main__':

1
samples/python2/morphology.py
View File

@ -10,6 +10,7 @@ if __name__ == '__main__':
try: fn = sys.argv[1]
except: fn = '../cpp/baboon.jpg'
img = cv2.imread(fn)
cv2.imshow('original', img)
modes = cycle(['erode/dilate', 'open/close', 'blackhat/tophat', 'gradient'])
str_modes = cycle(['ellipse', 'rect', 'cross'])