def showpredicpic(idx, model):
pic_data, label1 = getdatabyid(idx)
print "id:%s label1====>%s" % (idx, label1)
img = dp.pm(pic_data)
xi = dp.pm3(dp.pm2(img))
yi = model.predict(xi)[0]
if int(yi) >= 10:
yi = chr(yi + 55)
print "id:%s pridict===>%s" % (idx, yi)
img = dp.pm2(img)
img = img > 100
pylab.imshow(img, 'gray')
pylab.pause(2)
pylab.show(block=False)
pylab.close()
return yi
def showpredicbyfile2(filename, model):
data = dp.splitimg(filename)
label = ''
for i in data:
x = dp.pm3(dp.pm2(i))
yi = model.predict(x)[0]
if int(yi) >= 10:
yi = chr(yi + 55)
label = label + str(yi)
img = cv2.imread(filename)
img = dp.pm2(img)
img = img > 100
pylab.imshow(img, 'gray')
pylab.pause(2)
pylab.show(block=False)
pylab.close()
return label
def showpredicpic(idx, model):
pic_data, label1 = getdatabyid(idx)
print "id:%s label1====>%s" % (idx, label1)
img = dp.pm(pic_data)
xi = dp.pm3(dp.pm2(img))
yi = model.predict(xi)[0]
if int(yi) >= 10:
yi = chr(yi + 55)
print "id:%s pridict===>%s" % (idx, yi)
cv2.namedWindow(str(yi), 0)
cv2.resizeWindow(str(yi), 400, 400)
cv2.moveWindow(str(yi), 400, 200)
cv2.imshow(str(yi), img)
cv2.waitKey(1500)
cv2.destroyAllWindows()
return yi
def showpredicbyfile(filename, model):
data = dp.splitimg(filename)
label = ''
for i in data:
x = dp.pm3(dp.pm2(i))
yi = model.predict(x)[0]
if int(yi) >= 10:
yi = chr(yi + 55)
label = label + str(yi)
img = cv2.imread(filename)
cv2.namedWindow(label, 0)
cv2.resizeWindow(label, 400, 400)
cv2.moveWindow(label, 400, 200)
cv2.imshow(label, img)
cv2.waitKey(1500)
cv2.destroyAllWindows()
return label