[FFmpeg-cvslog] dnn_backend_native_layer_mathunary: add cos support

[Ting Fu]

ffmpeg | branch: master | Ting Fu <ting.fu at intel.com> | Sat Jun  6 20:12:48 2020 +0800| [88fb494f42a17eb8472c1172fc08ce1c29ce5e4c] | committer: Guo Yejun

dnn_backend_native_layer_mathunary: add cos support

It can be tested with the model 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.multiply(x, 1.5)
x2 = tf.cos(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 at intel.com>
Signed-off-by: Guo Yejun <yejun.guo at intel.com>

> http://git.videolan.org/gitweb.cgi/ffmpeg.git/?a=commit;h=88fb494f42a17eb8472c1172fc08ce1c29ce5e4c
---

 libavfilter/dnn/dnn_backend_native_layer_mathunary.c | 4 ++++
 libavfilter/dnn/dnn_backend_native_layer_mathunary.h | 1 +
 tools/python/convert_from_tensorflow.py              | 2 +-
 tools/python/convert_header.py                       | 2 +-
 4 files changed, 7 insertions(+), 2 deletions(-)

diff --git a/libavfilter/dnn/dnn_backend_native_layer_mathunary.c b/libavfilter/dnn/dnn_backend_native_layer_mathunary.c
index 5324d15bc3..fa8710a3ed 100644
--- a/libavfilter/dnn/dnn_backend_native_layer_mathunary.c
+++ b/libavfilter/dnn/dnn_backend_native_layer_mathunary.c
@@ -80,6 +80,10 @@ int dnn_execute_layer_math_unary(DnnOperand *operands, const int32_t *input_oper
         for (int i = 0; i < dims_count; ++i)
             dst[i] = sin(src[i]);
         return 0;
+    case DMUO_COS:
+        for (int i = 0; i < dims_count; ++i)
+            dst[i] = cos(src[i]);
+        return 0;
     default:
         return -1;
     }
diff --git a/libavfilter/dnn/dnn_backend_native_layer_mathunary.h b/libavfilter/dnn/dnn_backend_native_layer_mathunary.h
index 31a1ea8fb6..f70aea846b 100644
--- a/libavfilter/dnn/dnn_backend_native_layer_mathunary.h
+++ b/libavfilter/dnn/dnn_backend_native_layer_mathunary.h
@@ -32,6 +32,7 @@
 typedef enum {
     DMUO_ABS = 0,
     DMUO_SIN = 1,
+    DMUO_COS = 2,
     DMUO_COUNT
 } DNNMathUnaryOperation;
 
diff --git a/tools/python/convert_from_tensorflow.py b/tools/python/convert_from_tensorflow.py
index b17facdda8..9e99fccdab 100644
--- a/tools/python/convert_from_tensorflow.py
+++ b/tools/python/convert_from_tensorflow.py
@@ -72,7 +72,7 @@ class TFConverter:
         self.conv2d_scopename_inputname_dict = {}
         self.op2code = {'Conv2D':1, 'DepthToSpace':2, 'MirrorPad':3, 'Maximum':4, 'MathBinary':5, 'MathUnary':6}
         self.mathbin2code = {'Sub':0, 'Add':1, 'Mul':2, 'RealDiv':3, 'Minimum':4}
-        self.mathun2code  = {'Abs':0, 'Sin':1}
+        self.mathun2code  = {'Abs':0, 'Sin':1, 'Cos':2}
         self.mirrorpad_mode = {'CONSTANT':0, 'REFLECT':1, 'SYMMETRIC':2}
         self.name_operand_dict = {}
 
diff --git a/tools/python/convert_header.py b/tools/python/convert_header.py
index c79fef4be8..ba6d18126e 100644
--- a/tools/python/convert_header.py
+++ b/tools/python/convert_header.py
@@ -23,4 +23,4 @@ str = 'FFMPEGDNNNATIVE'
 major = 1
 
 # increase minor when we don't have to re-convert the model file
-minor = 7
+minor = 8