FFmpeg/dnn at 91efc41a69f223bd1ed92b8916ad9e9de63e9d9e - FFmpeg - Gitea: Git with a cup of tea

Mirror of https://git.ffmpeg.org/ffmpeg.git https://ffmpeg.org/

History

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
..
.gitignore	dnn-layer-mathunary-test: add unit test for abs	5 years ago
Makefile	dnn-layer-mathunary-test: add unit test for abs	5 years ago
dnn-layer-conv2d-test.c	dnn: add tf.nn.conv2d support for native model	5 years ago
dnn-layer-depth2space-test.c	avfilter/dnn: unify the layer execution function in native mode	5 years ago
dnn-layer-mathbinary-test.c	dnn-layer-mathbinary-test: add unit test for minimum	5 years ago
dnn-layer-mathunary-test.c	dnn_backend_native_layer_mathunary: add floor support	4 years ago
dnn-layer-maximum-test.c	FATE/dnn: add unit test for layer maximum	5 years ago
dnn-layer-pad-test.c	FATE/dnn: fix stack buffer overflow	5 years ago