I have an image (480,640,3) and I am trying to resize it to (150,150,1). Since my Keras model has been trained on images of shape (150,150,1), unfortunately I cannot seem to resize it using the PIL library. Any suggestions on how to fix this?
This is the code I am using right now:
The error is caused on the line image5.resize()
stream.seek(0)
data = numpy.fromstring(stream.getvalue() , dtype = numpy.uint8)
image5 = cv.imdecode(data , 1)
print(image5.shape)
#cv.imwrite('uhhu.png',image5)
img = image5.resize((150,150,1 ), Image.ANTIALIAS)
cv.imwrite('hhh.png',img)
x = img_to_array(img)
x = x.reshape((1,) + x.shape)
x = x/255
x = numpy.array(x)
print(x.shape)
#score = loaded_model.predict(img)
#print(score)
(150,150,1)
to(150,150)
? I think you might need to change the depth separately. $\endgroup$ – PeterJ Apr 9 '19 at 12:12