在Tensorflow中将RGBA图像转换为黑白图像

Question

tf.image.decode_png()可以输出灰度,RGB和RGBA图像.

但我想在Tensorflow中将 RGBA转换为纯黑色和白色(不使用枕头).

请给我一些建议.

Answer 1

用于tf.select进行阈值处理

pil_image = PilImage.open('/temp/panda.png')
show_pil_image(pil_image)

pil_buf = open('/temp/panda.png').read()
contents = tf.placeholder(dtype=tf.string)
decode_op = tf.image.decode_png(contents, channels=1)
gray_image = tf.squeeze(decode_op) # shape (127,127,1) -> shape (127,127)
sess = create_session()
[decoded] = sess.run([gray_image], feed_dict={contents: pil_buf})
show_pil_image(PilImage.fromarray(decoded))

contents = tf.placeholder(dtype=tf.string)
decode_op = tf.image.decode_png(contents, channels=1)
gray_image = tf.squeeze(decode_op) # shape (127,127,1) -> shape (127,127)
select_op = tf.select(gray_image>127, 255*tf.ones_like(gray_image), tf.zeros_like(gray_image))
sess = create_session()
[decoded] = sess.run([select_op], feed_dict={contents: pil_buf})
show_pil_image(PilImage.fromarray(decoded))