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authorTing Fu <ting.fu@intel.com>2020-05-25 17:46:26 +0300
committerGuo, Yejun <yejun.guo@intel.com>2020-05-28 06:04:21 +0300
commitf73cc61bf5aa383048979f4de2023877c522f6be (patch)
tree61508bdb3d3751f1fc01db2cbc6a93c0e76ac5d0 /libavfilter/dnn/dnn_backend_native_layer_mathunary.h
parentb6d6597bef66531ec07c07a7125b88aee38fb220 (diff)
dnn_backend_native_layer_mathunary: add abs support
more math unary operations will be added here It can be tested with the model file generated with below python scripy: import tensorflow as tf import numpy as np import imageio in_img = imageio.imread('input.jpeg') 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.subtract(x, 0.5) x2 = tf.abs(x1) 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: Ting Fu <ting.fu@intel.com> Signed-off-by: Guo, Yejun <yejun.guo@intel.com>
Diffstat (limited to 'libavfilter/dnn/dnn_backend_native_layer_mathunary.h')
-rw-r--r--libavfilter/dnn/dnn_backend_native_layer_mathunary.h45
1 files changed, 45 insertions, 0 deletions
diff --git a/libavfilter/dnn/dnn_backend_native_layer_mathunary.h b/libavfilter/dnn/dnn_backend_native_layer_mathunary.h
new file mode 100644
index 0000000000..4e44003b66
--- /dev/null
+++ b/libavfilter/dnn/dnn_backend_native_layer_mathunary.h
@@ -0,0 +1,45 @@
+/*
+ * Copyright (c) 2020
+ *
+ * This file is part of FFmpeg.
+ *
+ * FFmpeg is free software; you can redistribute it and/or
+ * modify it under the terms of the GNU Lesser General Public
+ * License as published by the Free Software Foundation; either
+ * version 2.1 of the License, or (at your option) any later version.
+ *
+ * FFmpeg is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
+ * Lesser General Public License for more details.
+ *
+ * You should have received a copy of the GNU Lesser General Public
+ * License along with FFmpeg; if not, write to the Free Software
+ * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
+ */
+
+/**
+ * @file
+ * DNN inference functions interface for native backend.
+ */
+
+#ifndef AVFILTER_DNN_DNN_BACKEND_NATIVE_LAYER_MATHUNARY_H
+#define AVFILTER_DNN_DNN_BACKEND_NATIVE_LAYER_MATHUNARY_H
+
+#include "libavformat/avio.h"
+#include "dnn_backend_native.h"
+
+typedef enum {
+ DMUO_ABS = 0,
+ DMUO_COUNT
+} DNNMathUnaryOperation;
+
+typedef struct DnnLayerMathUnaryParams{
+ DNNMathUnaryOperation un_op;
+} DnnLayerMathUnaryParams;
+
+int dnn_load_layer_math_unary(Layer *layer, AVIOContext *model_file_context, int file_size);
+int dnn_execute_layer_math_unary(DnnOperand *operands, const int32_t *input_operand_indexes,
+ int32_t output_operand_index, const void *parameters);
+
+#endif