| #define RTCMEMORYSTART 65 | |
| #define MAXHOUR 11 // number of hours to deep sleep for | |
| extern "C" { | |
| #include "user_interface.h" | |
| } | |
| typedef struct { | |
| int count; | |
| } rtcStore; |
| #!/bin/bash | |
| keyfilepath=$(dirname "${1}") | |
| #read keyinfo file | |
| IFS=$'\n' read -d '' -r -a keyfilelines < $1 | |
| KEYFILE="$keyfilepath/${keyfilelines[1]}" | |
| IV=${keyfilelines[2]} | |
| KEY=$(xxd -p $KEYFILE) | |
| #read m3u8 file | |
| IFS=$'\n' read -d '' -r -a m3u8filelines < $2 |
| import subprocess as sp | |
| import cv2 | |
| import numpy as np | |
| cmd = ["gst-launch-1.0", | |
| "rtspsrc", "location=rtsp://admin:[email protected]/Streaming/Channels/1", "latency=100", "!", | |
| "queue", "!", | |
| "rtph264depay", "!", | |
| "h264parse", "!", | |
| "nvv4l2decoder", "drop-frame-interval=2", "!", |
| sudo apt-get --assume-yes -qq remove x264 libx264-dev ffmpeg | |
| sudo apt-get --assume-yes --purge remove libav-tools | |
| sudo apt-get --assume-yes --purge autoremove | |
| sudo apt-get --assume-yes update | |
| sudo apt-get --assume-yes install libjpeg8-dev libtiff5-dev libjasper-dev libpng12-dev | |
| sudo apt-get --assume-yes install libx264-dev | |
| sudo apt-get --assume-yes install libgtk-3-dev | |
| sudo apt-get --assume-yes install libatlas-base-dev gfortran | |
| sudo apt-get --assume-yes install python2.7-dev python3.5-dev |
| 0 | |
| 133 <nul> | |
| 1 A | |
| 2 B | |
| 3 C | |
| 4 D | |
| 5 E | |
| 6 F | |
| 7 G | |
| 8 H |
| #!/usr/bin/python | |
| import os | |
| import sys | |
| import json | |
| import math | |
| import cv2 | |
| import numpy as np | |
| import copy | |
| import yaml |
| python lstm_ocr.py | |
| loading train data, please wait--------------------- get image: 128000 | |
| loading validation data, please wait--------------------- get image: 500 | |
| 2017-07-31 11:36:49.389513: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations. | |
| 2017-07-31 11:36:49.389668: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations. | |
| 2017-07-31 11:36:49.389719: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations. | |
| 2017-07-31 11:36:49.389764: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and |
http://blog.csdn.net/u013583789/article/details/50396747 (Chinese Version)
I'll try to clearly show the solution of how to install iOSOpenDev on Mac OS X 11 and Xcode 7
Here is the complete solution