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test result.rtf
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test result.rtf
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{\rtf1\ansi\ansicpg1252\cocoartf1671\cocoasubrtf200
{\fonttbl\f0\fnil\fcharset0 Menlo-Regular;\f1\fnil\fcharset0 Menlo-Bold;}
{\colortbl;\red255\green255\blue255;\red0\green0\blue0;\red86\green32\blue244;\red57\green192\blue38;
}
{\*\expandedcolortbl;;\csgray\c0;\cssrgb\c41680\c25960\c96645;\cssrgb\c25704\c77963\c19556;
}
\margl1440\margr1440\vieww10800\viewh8400\viewkind0
\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\pardirnatural\partightenfactor0
\f0\fs28 \cf2 \CocoaLigature0 Last login: Sun Apr 14 15:24:20 on ttys000\
Skylers-MacBook-Air-1294:~ skylerbang$ ssh root@107.191.52.87\
root@107.191.52.87's password: \
Welcome to Ubuntu 18.10 (GNU/Linux 4.18.0-10-generic x86_64)\
\
* Documentation: https://help.ubuntu.com\
* Management: https://landscape.canonical.com\
* Support: https://ubuntu.com/advantage\
\
System information as of Sun Apr 14 14:04:06 UTC 2019\
\
System load: 0.0 Processes: 86\
Usage of /: 16.0% of 24.55GB Users logged in: 0\
Memory usage: 15% IP address for ens3: 107.191.52.87\
Swap usage: 0%\
\
* Ubuntu's Kubernetes 1.14 distributions can bypass Docker and use containerd\
directly, see https://bit.ly/ubuntu-containerd or try it now with\
\
snap install microk8s --classic\
\
142 packages can be updated.\
84 updates are security updates.\
\
\
Last login: Sun Apr 14 07:24:28 2019 from 180.208.58.116\
root@vultr:~# \
root@vultr:~# \
root@vultr:~# \
root@vultr:~# \
root@vultr:~# \
root@vultr:~# \
root@vultr:~# \
root@vultr:~# \
root@vultr:~# \
root@vultr:~# \
root@vultr:~# ls -l\
total 4\
drwxr-xr-x 3 root root 4096 Apr 13 18:00
\f1\b \cf3 fyp
\f0\b0 \cf2 \
root@vultr:~# cd fyp\
root@vultr:~/fyp# ls -l\
total 4\
drwxr-xr-x 9 root root 4096 Apr 13 18:34
\f1\b \cf3 ENV
\f0\b0 \cf2 \
root@vultr:~/fyp# cd ENV\
root@vultr:~/fyp/ENV# ls -l\
total 28\
drwxr-xr-x 3 root root 4096 Apr 13 18:45
\f1\b \cf3 bin
\f0\b0 \cf2 \
drwxr-xr-x 3 root root 4096 Apr 13 18:11
\f1\b \cf3 etc
\f0\b0 \cf2 \
drwxr-xr-x 2 root root 4096 Apr 13 15:18
\f1\b \cf3 include
\f0\b0 \cf2 \
drwxr-xr-x 3 root root 4096 Apr 13 15:18
\f1\b \cf3 lib
\f0\b0 \cf2 \
drwxr-xr-x 3 root root 4096 Apr 13 18:34
\f1\b \cf3 man
\f0\b0 \cf2 \
drwxr-xr-x 9 root root 4096 Apr 14 06:35
\f1\b \cf3 panotti
\f0\b0 \cf2 \
drwxr-xr-x 5 root root 4096 Apr 13 18:11
\f1\b \cf3 share
\f0\b0 \cf2 \
root@vultr:~/fyp/ENV# cd panotti\
root@vultr:~/fyp/ENV/panotti# ls -l\
total 76\
-rwxr-xr-x 1 root root 4754 Apr 13 15:21
\f1\b \cf4 eval_network.py
\f0\b0 \cf2 \
drwxr-xr-x 2 root root 4096 Apr 13 15:21
\f1\b \cf3 examples
\f0\b0 \cf2 \
-rw-r--r-- 1 root root 1069 Apr 13 15:21 LICENSE\
drwxr-xr-x 3 root root 4096 Apr 13 16:42
\f1\b \cf3 panotti
\f0\b0 \cf2 \
-rwxr-xr-x 1 root root 4020 Apr 13 15:21
\f1\b \cf4 predict_class.py
\f0\b0 \cf2 \
drwxr-xr-x 5 root root 4096 Apr 14 06:36
\f1\b \cf3 Preproc
\f0\b0 \cf2 \
-rwxr-xr-x 1 root root 10737 Apr 13 15:21
\f1\b \cf4 preprocess_data.py
\f0\b0 \cf2 \
-rw-r--r-- 1 root root 6996 Apr 13 15:21 README.md\
-rw-r--r-- 1 root root 235 Apr 13 15:21 requirements.txt\
drwxr-xr-x 4 root root 4096 Apr 13 16:35
\f1\b \cf3 Samples
\f0\b0 \cf2 \
-rw-r--r-- 1 root root 293 Apr 13 15:21 setup.cfg\
-rw-r--r-- 1 root root 820 Apr 13 15:21 setup.py\
drwxr-xr-x 4 root root 4096 Apr 13 15:21
\f1\b \cf3 sorting-hat
\f0\b0 \cf2 \
-rwxr-xr-x 1 root root 3011 Apr 13 15:21
\f1\b \cf4 train_network.py
\f0\b0 \cf2 \
drwxr-xr-x 3 root root 4096 Apr 13 16:42
\f1\b \cf3 utils
\f0\b0 \cf2 \
root@vultr:~/fyp/ENV/panotti# source /root/fyp/ENV/bin/activate\
(ENV) root@vultr:~/fyp/ENV/panotti# python train_network.py\
Using TensorFlow backend.\
class_names = ['baby', 'glass']\
total files = 71 , going to load total_load = 40\
total files = 71 , going to load total_load = 40\
get_sample_dimensions: aaj_0171_Baby_Crying_6.mp3.npz: melgram.shape = (1, 96, 3419, 2)\
melgram dimensions: (1, 96, 3419, 2)\
\
Loading class 1/2: 'baby', File 1/24: Preproc/Train/baby/aaj_0171_Baby_Crying_6 Loading class 1/2: 'baby', File 24/24: Preproc/Train/baby/zapsplat_cartoon_male_crying_19919.mp3.npz \
Loading class 2/2: 'glass', File 1/47: Preproc/Train/glass/zapsplat_impacts_glass_smash_large_window_18092.mp3.npz \
MyCNN_Keras2: X_shape = (40, 96, 3419, 2) , channels = 2\
2019-04-14 14:06:18.259582: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\
Looking for previous weights...\
No weights file detected, so starting from scratch.\
Available GPUs = [] , count = 0\
Summary of serial model (duplicated across 0 GPUs):\
_________________________________________________________________\
Layer (type) Output Shape Param # \
=================================================================\
Input (Conv2D) (None, 94, 3417, 32) 608 \
_________________________________________________________________\
batch_normalization_1 (Batch (None, 94, 3417, 32) 376 \
_________________________________________________________________\
activation_1 (Activation) (None, 94, 3417, 32) 0 \
_________________________________________________________________\
conv2d_1 (Conv2D) (None, 92, 3415, 32) 9248 \
_________________________________________________________________\
activation_2 (Activation) (None, 92, 3415, 32) 0 \
_________________________________________________________________\
max_pooling2d_1 (MaxPooling2 (None, 46, 1707, 32) 0 \
_________________________________________________________________\
dropout_1 (Dropout) (None, 46, 1707, 32) 0 \
_________________________________________________________________\
conv2d_2 (Conv2D) (None, 44, 1705, 32) 9248 \
_________________________________________________________________\
activation_3 (Activation) (None, 44, 1705, 32) 0 \
_________________________________________________________________\
max_pooling2d_2 (MaxPooling2 (None, 22, 852, 32) 0 \
_________________________________________________________________\
dropout_2 (Dropout) (None, 22, 852, 32) 0 \
_________________________________________________________________\
conv2d_3 (Conv2D) (None, 20, 850, 32) 9248 \
_________________________________________________________________\
activation_4 (Activation) (None, 20, 850, 32) 0 \
_________________________________________________________________\
max_pooling2d_3 (MaxPooling2 (None, 10, 425, 32) 0 \
_________________________________________________________________\
dropout_3 (Dropout) (None, 10, 425, 32) 0 \
_________________________________________________________________\
flatten_1 (Flatten) (None, 136000) 0 \
_________________________________________________________________\
dense_1 (Dense) (None, 128) 17408128 \
_________________________________________________________________\
activation_5 (Activation) (None, 128) 0 \
_________________________________________________________________\
dropout_4 (Dropout) (None, 128) 0 \
_________________________________________________________________\
dense_2 (Dense) (None, 2) 258 \
_________________________________________________________________\
Output (Activation) (None, 2) 0 \
=================================================================\
Total params: 17,437,114\
Trainable params: 17,436,926\
Non-trainable params: 188\
_________________________________________________________________\
Train on 30 samples, validate on 10 samples\
Epoch 1/20\
2019-04-14 14:06:20.036226: W tensorflow/core/framework/allocator.cc:113] Allocation of 69632000 exceeds 10% of system memory.\
2019-04-14 14:06:20.165200: W tensorflow/core/framework/allocator.cc:113] Allocation of 69632000 exceeds 10% of system memory.\
2019-04-14 14:06:20.230525: W tensorflow/core/framework/allocator.cc:113] Allocation of 69632000 exceeds 10% of system memory.\
2019-04-14 14:06:20.274750: W tensorflow/core/framework/allocator.cc:113] Allocation of 69632000 exceeds 10% of system memory.\
2019-04-14 14:06:20.322175: W tensorflow/core/framework/allocator.cc:113] Allocation of 69632000 exceeds 10% of system memory.\
Traceback (most recent call last):\
File "train_network.py", line 63, in <module>\
val_split=args.val, tile=args.tile)\
File "train_network.py", line 40, in train_network\
verbose=1, callbacks=[checkpointer], validation_split=val_split) # validation_data=(X_val, Y_val),\
File "/root/fyp/ENV/lib/python3.6/site-packages/keras/engine/training.py", line 1039, in fit\
validation_steps=validation_steps)\
File "/root/fyp/ENV/lib/python3.6/site-packages/keras/engine/training_arrays.py", line 199, in fit_loop\
outs = f(ins_batch)\
File "/root/fyp/ENV/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 2715, in __call__\
return self._call(inputs)\
File "/root/fyp/ENV/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 2655, in _call\
dtype=tf.as_dtype(tensor.dtype).as_numpy_dtype))\
File "/root/fyp/ENV/lib/python3.6/site-packages/numpy/core/numeric.py", line 501, in asarray\
return array(a, dtype, copy=False, order=order)\
MemoryError\
(ENV) root@vultr:~/fyp/ENV/panotti# \
}