RSTUDIOPASS=<YOUR PASS>
docker run --rm -p 8787:8787 -e PASSWORD=$RSTUDIOPASS rocker/verse
This script will start a docker container of the rocker/verse image, downloading files as needed.
# Copyright 2016 The TensorFlow Authors. All Rights Reserved. | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, |
from keras import backend as K | |
from keras.layers.convolutional import UpSampling2D | |
class MaxPoolingMask2D(MaxPooling2D): | |
def __init__(self, pool_size=(2, 2), strides=None, border_mode='valid', | |
dim_ordering='default', **kwargs): | |
super(MaxPoolingMask2D, self).__init__(pool_size, strides, border_mode, | |
dim_ordering, **kwargs) | |
def _pooling_function(self, inputs, pool_size, strides, |
26013 silly gunzTarPerm extractEntry test/bed/root_dir1/root_dir1_file2.ext2 | |
26014 silly gunzTarPerm extractEntry test/bed/root_dir1/root_dir1_file3.ext3 | |
26015 silly gunzTarPerm extractEntry lib/source-map/quick-sort.js | |
26016 silly gunzTarPerm extractEntry lib/source-map/source-map-consumer.js | |
26017 silly gunzTarPerm extractEntry lib/es6-promise/promise/reject.js | |
26018 silly gunzTarPerm extractEntry lib/es6-promise/promise/resolve.js | |
26019 silly gunzTarPerm extractEntry lib/panellayout.d.ts | |
26020 silly gunzTarPerm modified mode [ 'lib/panellayout.d.ts', 438, 420 ] | |
26021 silly gunzTarPerm extractEntry addon/edit/matchbrackets.js | |
26022 silly gunzTarPerm extractEntry test/cases/09-unquoted_attrib.json |
from keras import backend as K | |
from keras.layers import Layer | |
class MaxPoolingMask2D(Layer): | |
def __init__(self, pool_size=(2, 2), strides=(2, 2), padding='valid', **kwargs): | |
super(MaxPoolingMask2D, self).__init__(**kwargs) | |
self.pool_size = pool_size | |
self.strides = strides | |
self.padding = padding |
class YoloHead(Layer): | |
def __init__(self, anchors, num_classes, **kwargs): | |
self.anchors = anchors | |
self.num_classes = num_classes | |
super(YoloHead, self).__init__(**kwargs) | |
def call(self, inputs, **kwargs): | |
"""Convert final layer features to bounding box parameters. |
#!/usr/bin/bash | |
filename="$1" | |
while read -r line | |
do | |
OUTPUT_FILENAME_FORMAT="playlists/%(playlist_title)s/%(playlist_index)s - %(title)s.%(ext)s" | |
METADATA_FORMAT="%(artist)s - %(title)s" | |
youtube-dl -i --extract-audio --audio-format mp3 --add-metadata --metadata-from-title "${METADATA_FORMAT}" -o "${OUTPUT_FILENAME_FORMAT}" "${line}" | |
done < "$filename" |
from keras.applications.inception_v3 import InceptionV3 | |
from keras.models import Model | |
from keras.layers import Input, Dropout, TimeDistributed, Masking, Dense, RepeatVector | |
from keras.layers.merge import Add | |
from keras.layers.recurrent import LSTM, GRU | |
from keras.regularizers import l2 | |
def NIC(max_caption_len, vocab_size, h, w, rnn='lstm', num_image_features=2048, | |
hidden_size=512, embedding_size=512, regularizer=1e-8, **kwargs): |