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release/1.2
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release/5.0
release/5.1
release/6.0
release/6.1
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release/7.1
N
ffmpeg-0.6.3
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n2.6
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n2.6.7
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n2.6.9
n2.7
n2.7-dev
n2.7.1
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n2.7.3
n2.7.4
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n2.7.6
n2.7.7
n2.8
n2.8-dev
n2.8.1
n2.8.10
n2.8.11
n2.8.12
n2.8.13
n2.8.14
n2.8.15
n2.8.16
n2.8.17
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n2.8.2
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n2.8.22
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n4.2.9
n4.3
n4.3-dev
n4.3.1
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n4.3.3
n4.3.4
n4.3.5
n4.3.6
n4.3.7
n4.3.8
n4.4
n4.4-dev
n4.4.1
n4.4.2
n4.4.3
n4.4.4
n4.4.5
n4.5-dev
n5.0
n5.0.1
n5.0.2
n5.0.3
n5.1
n5.1-dev
n5.1.1
n5.1.2
n5.1.3
n5.1.4
n5.1.5
n5.1.6
n5.2-dev
n6.0
n6.0.1
n6.1
n6.1-dev
n6.1.1
n6.1.2
n6.2-dev
n7.0
n7.0.1
n7.0.2
n7.1
n7.1-dev
n7.2-dev
v0.5
v0.5.1
v0.5.2
v0.5.3
v0.6
v0.6.1
${ noResults }
Ting Fu
c0cdeea0ee
It can be tested with the model generated with below python script:
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')
please uncomment the part you want to test
x_sinh_1 = tf.sinh(x)
x_out = tf.divide(x_sinh_1, 1.176) # sinh(1.0)
x_cosh_1 = tf.cosh(x)
x_out = tf.divide(x_cosh_1, 1.55) # cosh(1.0)
x_tanh_1 = tf.tanh(x)
x__out = tf.divide(x_tanh_1, 0.77) # tanh(1.0)
x_asinh_1 = tf.asinh(x)
x_out = tf.divide(x_asinh_1, 0.89) # asinh(1.0/1.1)
x_acosh_1 = tf.add(x, 1.1)
x_acosh_2 = tf.acosh(x_acosh_1) # accept (1, inf)
x_out = tf.divide(x_acosh_2, 1.4) # acosh(2.1)
x_atanh_1 = tf.divide(x, 1.1)
x_atanh_2 = tf.atanh(x_atanh_1) # accept (-1, 1)
x_out = tf.divide(x_atanh_2, 1.55) # atanhh(1.0/1.1)
y = tf.identity(x_out, name='dnn_out') #please only preserve the x_out you want to test
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>
|
5 years ago | |
|---|---|---|
| .. | ||
| convert.py | convert_from_tensorflow.py: add option to dump graph for visualization in tensorboard | 5 years ago |
| convert_from_tensorflow.py | dnn_backend_native_layer_mathunary: add atanh support | 5 years ago |
| convert_header.py | dnn_backend_native_layer_mathunary: add atanh support | 5 years ago |