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ffmpeg-0.6.3
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n0.5.12
n0.5.11
n0.5.10
n0.5.9
n0.5.8
n0.5.7
n0.5.6
n0.5.5
N
5 Commits (6aa7e07e7caed7997e40cee8b203ec56b12d7300)
5 Commits (6aa7e07e7caed7997e40cee8b203ec56b12d7300)
| Author | SHA1 | Message | Date |
|---|---|---|---|
 Guo, Yejun
|
6aa7e07e7c |
dnn/native: add native support for 'add'
It can be tested with the 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 = 0.039 + x
z2 = x + 0.042
z3 = z1 + z2
z4 = z3 - 0.381
z5 = z4 - x
y = tf.math.maximum(z5, 0.0, 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>
|
5 years ago |
|
Guo, Yejun
|
ffa1561608 |
dnn_backend_native_layer_mathbinary: add sub support
more math binary operations will be added here Signed-off-by: Guo, Yejun <yejun.guo@intel.com> |
5 years ago |
|
Guo, Yejun
|
dff39ea9f0 |
dnn: add tf.nn.conv2d support for native model
Unlike other tf.*.conv2d layers, tf.nn.conv2d does not create many nodes (within a scope) in the graph, it just acts like other layers. tf.nn.conv2d only creates one node in the graph, and no internal nodes such as 'kernel' are created. The format of native model file is also changed, a flag named has_bias is added, so change the version number. Signed-off-by: Guo, Yejun <yejun.guo@intel.com> Signed-off-by: Pedro Arthur <bygrandao@gmail.com> |
5 years ago |
|
Guo, Yejun
|
b2683c66b2 |
libavfilter/dnn: add layer maximum for native mode.
The reason to add this layer is that it is used by srcnn in vf_sr. This layer is currently ignored in native mode. After this patch, we can add multiple outputs support for native mode. Signed-off-by: Guo, Yejun <yejun.guo@intel.com> Signed-off-by: Pedro Arthur <bygrandao@gmail.com> |
5 years ago |
|
Guo, Yejun
|
022f50d3fe |
libavfilter/dnn: add header into native model file
Signed-off-by: Guo, Yejun <yejun.guo@intel.com> Signed-off-by: Pedro Arthur <bygrandao@gmail.com> |
5 years ago |