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ffmpeg/tests
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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>
2020-08-07 10:34:22 +08:00
..
api Remove unnecessary use of avcodec_close(). 2020-06-10 11:31:16 +02:00
checkasm libavutil: Detect MMI and MSA flags for MIPS 2020-07-23 17:21:58 +02:00
dnn dnn_backend_native_layer_mathunary: add floor support 2020-08-07 10:34:22 +08:00
fate test: hlsenc: Use unique init/segment file names for the fmp4_ac3 test 2020-08-03 23:52:16 +03:00
filtergraphs fate: add yuv420p10 and yuv422p10 tests for overlay filter 2020-06-19 07:14:46 +08:00
ref avformat/mxfdec: Read color metadata from MXF 2020-08-06 12:52:34 +02:00
.gitignore
audiogen.c
audiomatch.c
base64.c
copycooker.sh
extended.ffconcat
fate-run.sh tests/fate/hlsenc: add testcase of ac3 surround sound input in hlsenc 2020-07-07 14:32:07 +08:00
fate-valgrind.supp
fate.sh
Makefile fate: add tests for h264 and vp9 video enc parameters export 2020-05-25 11:59:45 +02:00
md5.sh
refcmp-metadata.awk
reference.pnm
rotozoom.c
simple1.ffconcat
simple2.ffconcat
test.ffmeta
tiny_psnr.c
tiny_ssim.c
utils.c
videogen.c