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it can be tested with 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 = 2 / x z2 = 1 / z1 z3 = z2 / 0.25 + 0.3 z4 = z3 - x * 1.5 - 0.3 y = tf.identity(z4, 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> |
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.. | ||
python | ||
.gitignore | ||
aviocat.c | ||
bisect-create | ||
bookmarklets.html | ||
cl2c | ||
clean-diff | ||
coverity.c | ||
crypto_bench.c | ||
cws2fws.c | ||
dvd2concat | ||
enum_options.c | ||
ffescape.c | ||
ffeval.c | ||
ffhash.c | ||
fourcc2pixfmt.c | ||
gen-rc | ||
graph2dot.c | ||
ismindex.c | ||
libav-merge-next-commit | ||
loudnorm.rb | ||
make_chlayout_test | ||
Makefile | ||
missing_codec_desc | ||
murge | ||
normalize.py | ||
patcheck | ||
pktdumper.c | ||
plotframes | ||
probetest.c | ||
qt-faststart.c | ||
seek_print.c | ||
sidxindex.c | ||
sofa2wavs.c | ||
target_bsf_fuzzer.c | ||
target_dec_fate.list | ||
target_dec_fate.sh | ||
target_dec_fuzzer.c | ||
target_dem_fuzzer.c | ||
trasher.c | ||
uncoded_frame.c | ||
unwrap-diff | ||
yuvcmp.c | ||
zmqsend.c | ||
zmqshell.py |