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<?php
namespace App\Models;
use App\Traits\UuidModel;
use Illuminate\Notifications\Notifiable;
use Illuminate\Foundation\Auth\User as Authenticatable;
class User extends Authenticatable
{
mysql> SELECT * FROM plates;
+--------------------------------------+---------+---------------------+---------------------+
| id | plate | created_at | updated_at |
+--------------------------------------+---------+---------------------+---------------------+
| e0dd8fd5-88c8-479c-902a-c4b80842ecac | RX61GDU | 2017-02-11 21:36:34 | 2017-02-11 21:36:34 |
| 4e055fc0-bd83-4452-a0d2-1bc41d18c35d | | 2017-02-13 17:47:32 | 2017-02-13 17:47:32 |
| 6bd341f2-ac9c-44b3-bb39-9c824d4002ed | AE02RYA | 2017-02-14 02:28:20 | 2017-02-14 15:18:57 |
+--------------------------------------+---------+---------------------+---------------------+
3 rows in set (0.00 sec)
[{
"id": "e0dd8fd5-88c8-479c-902a-c4b80842ecac",
"plate": "RX61GDU",
"created_at": "2017-02-11 21:36:34",
"updated_at": "2017-02-11 21:36:34",
"pivot": {
"user_id": "311bd620-4440-4cb6-9c8b-2fa6fcb28c97",
"plate_id": "e0dd8fd5-88c8-479c-902a-c4b80842ecac"
}
}, {
User
-id
Detection
-id
-plate_id
-user_id
Plate
-id
stdout : string(0) "" stderr : string(19310) "
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcublas.so.8.0 locally
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcudnn.so.5 locally
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcufft.so.8.0 locally
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcuda.so.1 locally
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcurand.so.8.0 locally W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations.
I tensorflow/core/common_runtime/gpu/gpu_device.cc:885] Found device 0 with properties: name: GeForce GTX 1070 major: 6 minor: 1 memoryClockRate (GHz) 1.683 pciBusID 0000:01:00.0 Total memory: 7.92GiB Free memory: 60.94MiB
I tensorflow/core/common_runtime
stdout : string(0) "" stderr : string(21188) "
I tensorflow/stream_executor/dso_loader.cc:126] Couldn't open CUDA library libcublas.so.8.0. LD_LIBRARY_PATH:
I tensorflow/stream_executor/cuda/cuda_blas.cc:2294] Unable to load cuBLAS DSO.
I tensorflow/stream_executor/dso_loader.cc:126] Couldn't open CUDA library libcudnn.so.5. LD_LIBRARY_PATH:
I tensorflow/stream_executor/cuda/cuda_dnn.cc:3517] Unable to load cuDNN DSO
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcufft.so.8.0 locally
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcuda.so.1 locally
I tensorflow/stream_executor/dso_loader.cc:126] Couldn't open CUDA library libcurand.so.8.0. LD_LIBRARY_PATH:
I tensorflow/stream_executor/cuda/cuda_rng.cc:338] Unable to load cuRAND DSO. W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations.
I tens
stdout : string(0) "" stderr : string(21188) "I tensorflow/stream_executor/dso_loader.cc:126] Couldn't open CUDA library libcublas.so.8.0. LD_LIBRARY_PATH: I tensorflow/stream_executor/cuda/cuda_blas.cc:2294] Unable to load cuBLAS DSO. I tensorflow/stream_executor/dso_loader.cc:126] Couldn't open CUDA library libcudnn.so.5. LD_LIBRARY_PATH: I tensorflow/stream_executor/cuda/cuda_dnn.cc:3517] Unable to load cuDNN DSO I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcufft.so.8.0 locally I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcuda.so.1 locally I tensorflow/stream_executor/dso_loader.cc:126] Couldn't open CUDA library libcurand.so.8.0. LD_LIBRARY_PATH: I tensorflow/stream_executor/cuda/cuda_rng.cc:338] Unable to load cuRAND DSO. W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations. I tensorflow/co
<VirtualHost *:80>
ServerAdmin [email protected]
DocumentRoot "/var/www/Honours/public"
ServerName chadtaljaardtnas.ddns.net
ServerAlias www.chadtaljaardtnas.ddns.net
ErrorLog ${APACHE_LOG_DIR}/error.log
CustomLog ${APACHE_LOG_DIR}/access.log combined
<Directory "/var/www/Honours/public">
Options Indexes MultiViews FollowSymLinks
AllowOverride All
chad@chad-GA-990XA-UD3:~/Desktop/deep-anpr$ ./train.py
I tensorflow/stream_executor/dso_loader.cc:125] successfully opened CUDA library libcublas.so.8.0 locally
I tensorflow/stream_executor/dso_loader.cc:125] successfully opened CUDA library libcudnn.so.5 locally
I tensorflow/stream_executor/dso_loader.cc:125] successfully opened CUDA library libcufft.so.8.0 locally
I tensorflow/stream_executor/dso_loader.cc:125] successfully opened CUDA library libcuda.so.1 locally
I tensorflow/stream_executor/dso_loader.cc:125] successfully opened CUDA library libcurand.so.8.0 locally
Traceback (most recent call last):
File "./train.py", line 263, in <module>
initial_weights=initial_weights)
File "./train.py", line 171, in train
#!/usr/bin/env python
#
# Copyright (c) 2016 Matthew Earl
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions: