BradNeuberg

  def _generate_leveldb(self, file_path, pairs, target, single_data):
    """
    Caffe uses the LevelDB format to efficiently load its training and validation data; this method
    writes paired out faces in an efficient way into this format.
    """
    print "\tGenerating LevelDB file at %s..." % file_path
    shutil.rmtree(file_path, ignore_errors=True)
    db = leveldb.LevelDB(file_path)

    batch = leveldb.WriteBatch()

BradNeuberg

Last login: Mon Jul 27 21:42:44 on ttys000
bradneuberg: ~ 
bradneuberg: ~ 
bradneuberg: ~ 
bradneuberg: ~ cd /usr/local/protobuf-2.6.1/
bradneuberg: protobuf-2.6.1 (master +) 
bradneuberg: protobuf-2.6.1 (master +) 
bradneuberg: protobuf-2.6.1 (master +) env | sort
ANACONDA=/Users/bradneuberg/anaconda
Apple_PubSub_Socket_Render=/private/tmp/com.apple.launchd.tntsyOMak1/Render

BradNeuberg

bradneuberg: python (master +) nm /usr/local/lib/libprotobuf.9.dylib
00000000000a1088 s GCC_except_table0
000000000009f944 s GCC_except_table0
00000000000911fc s GCC_except_table0
000000000009ff60 s GCC_except_table0
000000000009ccf8 s GCC_except_table0
0000000000095f20 s GCC_except_table0
000000000009f2d8 s GCC_except_table0
000000000008ee58 s GCC_except_table0
000000000009b678 s GCC_except_table0

BradNeuberg

bradneuberg: python (master +) cat ../src/google/protobuf/text_format.h
// Protocol Buffers - Google's data interchange format
// Copyright 2008 Google Inc.  All rights reserved.
// https://developers.google.com/protocol-buffers/
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
//     * Redistributions of source code must retain the above copyright

BradNeuberg

Classifying: 533 images
regions/0.jpg: class: cloud prob: 9.84595680237
regions/1.jpg: class: cloud prob: 1.58692479134
regions/2.jpg: class: cloud prob: 4.10534524918
regions/3.jpg: class: cloud prob: 6.38739204407
regions/4.jpg: class: cloud prob: 11.8700017929
regions/5.jpg: class: cloud prob: 1.58692479134
regions/6.jpg: class: cloud prob: 6.88746643066
regions/7.jpg: class: cloud prob: 8.91076469421
regions/8.jpg: class: cloud prob: 8.66692638397

BradNeuberg

#include <iostream>
#include <boost/python.hpp>

using namespace std;

int helloworld()
{
    return 10;
}

BradNeuberg

import test_boost

print(test_boost.helloworld())

BradNeuberg

cmake_minimum_required(VERSION 3.3)

# Don't try to create universal binaries on Mac OS X, as this causes compilation problems.

# On Darwin, the CMakeDetermineSystem.cmake module sets system processor values
# using 'uname -p'.  On Intel Macs, at least, this always returns "i386" which
# is technically not what we want. We want 'uname -m' which returns the machine
# architecture.  On 64-bit architectures this is the value we want for "host" builds.
if(APPLE)
   exec_program(/usr/bin/uname ARGS -m OUTPUT_VARIABLE CMAKE_HOST_SYSTEM_PROCESSOR RETURN_VALUE val)

BradNeuberg

-- System processor settings: host=x86_64, target=x86_64, cpu=x86_64
-- The C compiler identification is AppleClang 7.0.0.7000072
-- The CXX compiler identification is AppleClang 7.0.0.7000072
-- Check for working C compiler: /Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin/cc
-- Check for working C compiler: /Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin/cc -- works
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Detecting C compile features
-- Detecting C compile features - done
-- Check for working CXX compiler: /Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin/c++

BradNeuberg

Scanning dependencies of target segment
[ 50%] Building CXX object CMakeFiles/segment.dir/segment_py.cpp.o
In file included from /Users/bradneuberg/dev/selective_search_py_port/segment_py.cpp:5:
In file included from /Users/bradneuberg/dev/selective_search_py_port/segment/segment-image.h:25:
In file included from /Users/bradneuberg/dev/selective_search_py_port/segment/filter.h:28:
/Users/bradneuberg/dev/selective_search_py_port/segment/convolve.h:34:13: warning: 
      implicit conversion loses integer precision: 'size_type'
      (aka 'unsigned long') to 'int' [-Wshorten-64-to-32]
  int len = mask.size();
      ~~~   ^~~~~~~~~~~