FFmpeg

Commit Graph

Author	SHA1	Message	Date
Wenlong Ding	16e5014649	tests/dnn/dnn-layer-mathunary-test: add unit test for exp Signed-off-by: Wenlong Ding <wenlong.ding@intel.com>	4 years ago
Guo, Yejun	07a18ff477	tests/dnn: fix build issue after function name changed	4 years ago
Ting Fu	c8ba0daf8d	dnn/native: add log error message Signed-off-by: Ting Fu <ting.fu@intel.com>	4 years ago
Mingyu Yin	4ed6bca4ae	dnn_backend_native_layer_mathunary: add round support Signed-off-by: Mingyu Yin <mingyu.yin@intel.com> Reviewed-by: Guo, Yejun <yejun.guo@intel.com>	4 years ago
Mingyu Yin	fab00b0ae0	dnn_backend_native_layer_mathunary: add floor support It can be tested with the model generated with below python script: import tensorflow as tf import os import numpy as np import imageio from tensorflow.python.framework import graph_util name = 'floor' pb_file_path = os.getcwd() if not os.path.exists(pb_file_path+'/{}_savemodel/'.format(name)): os.mkdir(pb_file_path+'/{}_savemodel/'.format(name)) with tf.Session(graph=tf.Graph()) as sess: in_img = imageio.imread('detection.jpg') in_img = in_img.astype(np.float32) in_data = in_img[np.newaxis, :] input_x = tf.placeholder(tf.float32, shape=[1, None, None, 3], name='dnn_in') y_ = tf.math.floor(input_x*255)/255 y = tf.identity(y_, name='dnn_out') sess.run(tf.global_variables_initializer()) constant_graph = graph_util.convert_variables_to_constants(sess, sess.graph_def, ['dnn_out']) with tf.gfile.FastGFile(pb_file_path+'/{}_savemodel/model.pb'.format(name), mode='wb') as f: f.write(constant_graph.SerializeToString()) print("model.pb generated, please in ffmpeg path use\n \n \ python tools/python/convert.py {}_savemodel/model.pb --outdir={}_savemodel/ \n \nto generate model.model\n".format(name,name)) output = sess.run(y, feed_dict={ input_x: in_data}) imageio.imsave("out.jpg", np.squeeze(output)) print("To verify, please ffmpeg path use\n \n \ ./ffmpeg -i detection.jpg -vf format=rgb24,dnn_processing=model={}_savemodel/model.pb:input=dnn_in:output=dnn_out:dnn_backend=tensorflow -f framemd5 {}_savemodel/tensorflow_out.md5\n \ or\n \ ./ffmpeg -i detection.jpg -vf format=rgb24,dnn_processing=model={}_savemodel/model.pb:input=dnn_in:output=dnn_out:dnn_backend=tensorflow {}_savemodel/out_tensorflow.jpg\n \nto generate output result of tensorflow model\n".format(name, name, name, name)) print("To verify, please ffmpeg path use\n \n \ ./ffmpeg -i detection.jpg -vf format=rgb24,dnn_processing=model={}_savemodel/model.model:input=dnn_in:output=dnn_out:dnn_backend=native -f framemd5 {}_savemodel/native_out.md5\n \ or \n \ ./ffmpeg -i detection.jpg -vf format=rgb24,dnn_processing=model={}_savemodel/model.model:input=dnn_in:output=dnn_out:dnn_backend=native {}_savemodel/out_native.jpg\n \nto generate output result of native model\n".format(name, name, name, name)) Signed-off-by: Mingyu Yin <mingyu.yin@intel.com>	4 years ago
Mingyu Yin	9fbdd5454b	dnn_backend_native_layer_mathunary: add ceil support It can be tested with the model generated with below python script: import tensorflow as tf import os import numpy as np import imageio from tensorflow.python.framework import graph_util name = 'ceil' pb_file_path = os.getcwd() if not os.path.exists(pb_file_path+'/{}_savemodel/'.format(name)): os.mkdir(pb_file_path+'/{}_savemodel/'.format(name)) with tf.Session(graph=tf.Graph()) as sess: in_img = imageio.imread('detection.jpg') in_img = in_img.astype(np.float32) in_data = in_img[np.newaxis, :] input_x = tf.placeholder(tf.float32, shape=[1, None, None, 3], name='dnn_in') y = tf.math.ceil( input_x, name='dnn_out') sess.run(tf.global_variables_initializer()) constant_graph = graph_util.convert_variables_to_constants(sess, sess.graph_def, ['dnn_out']) with tf.gfile.FastGFile(pb_file_path+'/{}_savemodel/model.pb'.format(name), mode='wb') as f: f.write(constant_graph.SerializeToString()) print("model.pb generated, please in ffmpeg path use\n \n \ python tools/python/convert.py ceil_savemodel/model.pb --outdir=ceil_savemodel/ \n \n \ to generate model.model\n") output = sess.run(y, feed_dict={ input_x: in_data}) imageio.imsave("out.jpg", np.squeeze(output)) print("To verify, please ffmpeg path use\n \n \ ./ffmpeg -i detection.jpg -vf format=rgb24,dnn_processing=model=ceil_savemodel/model.pb:input=dnn_in:output=dnn_out:dnn_backend=tensorflow -f framemd5 ceil_savemodel/tensorflow_out.md5\n \n \ to generate output result of tensorflow model\n") print("To verify, please ffmpeg path use\n \n \ ./ffmpeg -i detection.jpg -vf format=rgb24,dnn_processing=model=ceil_savemodel/model.model:input=dnn_in:output=dnn_out:dnn_backend=native -f framemd5 ceil_savemodel/native_out.md5\n \n \ to generate output result of native model\n") Signed-off-by: Mingyu Yin <mingyu.yin@intel.com> Reviewed-by: Guo, Yejun <yejun.guo@intel.com>	4 years ago
Ting Fu	dbf66b9e0e	tests/dnn/mathunary: fix the issue of NAN When one of output[i] & expected_output is NAN, the unit test will always pass. Signed-off-by: Ting Fu <ting.fu@intel.com> Reviewed-by: Guo, Yejun <yejun.guo@intel.com>	4 years ago
Ting Fu	57ea0483af	dnn-layer-math-unary-test: add unit test for atanh Signed-off-by: Ting Fu <ting.fu@intel.com>	4 years ago
Ting Fu	52d2e16665	dnn-layer-math-unary-test: add unit test for acosh Signed-off-by: Ting Fu <ting.fu@intel.com>	4 years ago
Ting Fu	33374bdbd8	dnn-layer-math-unary-test: add unit test for asinh Signed-off-by: Ting Fu <ting.fu@intel.com>	4 years ago
Ting Fu	0de5043060	dnn-layer-math-unary-test: add unit test for tanh Signed-off-by: Ting Fu <ting.fu@intel.com>	4 years ago
Ting Fu	c5de77e33c	dnn-layer-math-unary-test: add unit test for cosh Signed-off-by: Ting Fu <ting.fu@intel.com>	4 years ago
Ting Fu	85c0608c6b	dnn-layer-math-unary-test: add unit test for sinh Signed-off-by: Ting Fu <ting.fu@intel.com>	4 years ago
Ting Fu	24d1781cbd	dnn-layer-math-unary-test: add unit test for atan Signed-off-by: Ting Fu <ting.fu@intel.com> Signed-off-by: Guo Yejun <yejun.guo@intel.com>	4 years ago
Ting Fu	130c600144	dnn-layer-math-unary-test: add unit test for acos Signed-off-by: Ting Fu <ting.fu@intel.com> Signed-off-by: Guo Yejun <yejun.guo@intel.com>	4 years ago
Ting Fu	057f6ee7f4	dnn-layer-math-unary-test: add unit test for asin Signed-off-by: Ting Fu <ting.fu@intel.com> Signed-off-by: Guo Yejun <yejun.guo@intel.com>	4 years ago
Ting Fu	3ac2f7ccd7	dnn-layer-mathunary-test: add unit test for tan Signed-off-by: Ting Fu <ting.fu@intel.com> Signed-off-by: Guo Yejun <yejun.guo@intel.com>	5 years ago
Ting Fu	dd3fe3e77c	dnn-layer-mathunary-test: add unit test for cos Signed-off-by: Ting Fu <ting.fu@intel.com> Signed-off-by: Guo Yejun <yejun.guo@intel.com>	5 years ago
Ting Fu	3f7c5a375b	dnn-layer-mathunary-test: add unit test for sin Signed-off-by: Ting Fu <ting.fu@intel.com> Signed-off-by: Guo Yejun <yejun.guo@intel.com>	5 years ago
Ting Fu	c51b46e5dd	dnn-layer-mathunary-test: add unit test for abs Signed-off-by: Ting Fu <ting.fu@intel.com> Signed-off-by: Guo, Yejun <yejun.guo@intel.com>	5 years ago
Guo, Yejun	9ae42c130c	FATE/dnn: add unit test for layer maximum Signed-off-by: Guo, Yejun <yejun.guo@intel.com> Signed-off-by: Pedro Arthur <bygrandao@gmail.com>	5 years ago

20 Commits (44c64b103ea89dc6f38a65f10bc7cc41099fb938)