> -----Original Message----- > From: ffmpeg-devel <[email protected]> On Behalf Of Mingyu > Yin > Sent: 2020年7月31日 15:41 > To: [email protected] > Subject: [FFmpeg-devel] [v4] 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")
I tried to change the command line to generate a .jpg file instead of md5, the result is that the image is all white. Suggest to change the python script, for example: y = ceil(x*100)/100 _______________________________________________ ffmpeg-devel mailing list [email protected] https://ffmpeg.org/mailman/listinfo/ffmpeg-devel To unsubscribe, visit link above, or email [email protected] with subject "unsubscribe".
