Guo, Yejun 71e28c5422 dnn/native: add native support for minimum ... it can be tested with model file generated with below python script: import tensorflow as tf import numpy as np import imageio in_img = imageio.imread('input.jpg') in_img = in_img.astype(np.float32)/255.0 in_data = in_img[np.newaxis, :] x = tf.placeholder(tf.float32, shape=[1, None, None, 3], name='dnn_in') x1 = tf.minimum(0.7, x) x2 = tf.maximum(x1, 0.4) y = tf.identity(x2, name='dnn_out') sess=tf.Session() sess.run(tf.global_variables_initializer()) graph_def = tf.graph_util.convert_variables_to_constants(sess, sess.graph_def, ['dnn_out']) tf.train.write_graph(graph_def, '.', 'image_process.pb', as_text=False) print("image_process.pb generated, please use \ path_to_ffmpeg/tools/python/convert.py to generate image_process.model\n") output = sess.run(y, feed_dict={x: in_data}) imageio.imsave("out.jpg", np.squeeze(output)) Signed-off-by: Guo, Yejun <yejun.guo@intel.com>		2020-05-08 15:22:27 +08:00
..
convert_from_tensorflow.py	dnn/native: add native support for minimum	2020-05-08 15:22:27 +08:00
convert_header.py	dnn/native: add native support for minimum	2020-05-08 15:22:27 +08:00
convert.py	convert_from_tensorflow.py: add option to dump graph for visualization in tensorboard	2019-08-15 14:58:19 -03:00