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| author | Ting Fu <ting.fu@intel.com> | 2020-06-18 17:15:31 +0800 |
|---|---|---|
| committer | Guo, Yejun <yejun.guo@intel.com> | 2020-06-25 08:41:50 +0800 |
| commit | 486c0c419d0248de890edaa89a47fbd118c744e0 (patch) | |
| tree | 833ca8b39973be7dffa299f6a2548dd971f3fbcb /libavfilter | |
| parent | 6c777a6688715b21a15cab2cd87c8379225e53ec (diff) | |
| download | ffmpeg-486c0c419d0248de890edaa89a47fbd118c744e0.tar.gz | |
dnn_backend_native_layer_mathunary: add asin support
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')
x1 = tf.asin(x)
x2 = tf.divide(x1, 3.1416/2) # pi/2
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')
| -rw-r--r-- | libavfilter/dnn/dnn_backend_native_layer_mathunary.c | 4 | ||||
| -rw-r--r-- | libavfilter/dnn/dnn_backend_native_layer_mathunary.h | 1 |
2 files changed, 5 insertions, 0 deletions
diff --git a/libavfilter/dnn/dnn_backend_native_layer_mathunary.c b/libavfilter/dnn/dnn_backend_native_layer_mathunary.c index 90fac6aa67..3a147c2b3c 100644 --- a/libavfilter/dnn/dnn_backend_native_layer_mathunary.c +++ b/libavfilter/dnn/dnn_backend_native_layer_mathunary.c @@ -92,6 +92,10 @@ int dnn_execute_layer_math_unary(DnnOperand *operands, const int32_t *input_oper for (int i = 0; i < dims_count; ++i) dst[i] = tan(src[i]); return 0; + case DMUO_ASIN: + for (int i = 0; i < dims_count; ++i) + dst[i] = asin(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 40a9bb5fb8..1c25db5a42 100644 --- a/libavfilter/dnn/dnn_backend_native_layer_mathunary.h +++ b/libavfilter/dnn/dnn_backend_native_layer_mathunary.h @@ -34,6 +34,7 @@ typedef enum { DMUO_SIN = 1, DMUO_COS = 2, DMUO_TAN = 3, + DMUO_ASIN = 4, DMUO_COUNT } DNNMathUnaryOperation; |