From 71e28c5422e321640b69ee512eef3e899c746e1e Mon Sep 17 00:00:00 2001 From: "Guo, Yejun" Date: Sun, 26 Apr 2020 15:46:38 +0800 Subject: 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 --- libavfilter/dnn/dnn_backend_native_layer_mathbinary.h | 1 + 1 file changed, 1 insertion(+) (limited to 'libavfilter/dnn/dnn_backend_native_layer_mathbinary.h') diff --git a/libavfilter/dnn/dnn_backend_native_layer_mathbinary.h b/libavfilter/dnn/dnn_backend_native_layer_mathbinary.h index 2ffbb66eeb..f3dbbeb8c3 100644 --- a/libavfilter/dnn/dnn_backend_native_layer_mathbinary.h +++ b/libavfilter/dnn/dnn_backend_native_layer_mathbinary.h @@ -35,6 +35,7 @@ typedef enum { DMBO_ADD = 1, DMBO_MUL = 2, DMBO_REALDIV = 3, + DMBO_MINIMUM = 4, DMBO_COUNT } DNNMathBinaryOperation; -- cgit v1.2.3