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author | Guo, Yejun <yejun.guo@intel.com> | 2020-04-11 13:46:47 +0800 |
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committer | Guo, Yejun <yejun.guo@intel.com> | 2020-04-22 13:15:00 +0800 |
commit | 8ce9d88f930cecd55eb73ea5e8ce749090002aa8 (patch) | |
tree | cce50fdf0ab0a55b4e2bcc78ccfb37bac79f3693 /libavfilter/dnn/dnn_backend_native_layer_mathbinary.h | |
parent | 265b5bd324496d6a342506ffa6157df5f2a85353 (diff) |
dnn/native: add native support for divide
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')
z1 = 2 / x
z2 = 1 / z1
z3 = z2 / 0.25 + 0.3
z4 = z3 - x * 1.5 - 0.3
y = tf.identity(z4, 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>
Diffstat (limited to 'libavfilter/dnn/dnn_backend_native_layer_mathbinary.h')
-rw-r--r-- | libavfilter/dnn/dnn_backend_native_layer_mathbinary.h | 1 |
1 files changed, 1 insertions, 0 deletions
diff --git a/libavfilter/dnn/dnn_backend_native_layer_mathbinary.h b/libavfilter/dnn/dnn_backend_native_layer_mathbinary.h index d58b48c747..2ffbb66eeb 100644 --- a/libavfilter/dnn/dnn_backend_native_layer_mathbinary.h +++ b/libavfilter/dnn/dnn_backend_native_layer_mathbinary.h @@ -34,6 +34,7 @@ typedef enum { DMBO_SUB = 0, DMBO_ADD = 1, DMBO_MUL = 2, + DMBO_REALDIV = 3, DMBO_COUNT } DNNMathBinaryOperation; |