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bin/Inception.pl  view on Meta::CPAN

#!/usr/bin/env perl
use strict;
use warnings;


use AI::PredictionClient::InceptionClient;
# PODNAME: Inception.pl
# ABSTRACT: Runnable example command line Inception client

use Moo;
use MooX::Options;
use 5.010;
use Data::Dumper qw(Dumper);
use Perl6::Form;

my $default_host            = '127.0.0.1';
my $default_port            = '9000';
my $default_model           = 'inception';
my $default_model_signature = 'predict_images';

option image_file => (
  is       => 'ro',
  required => 1,
  format   => 's',
  doc      => '* Required: Path to image to be processed'
);
option host => (
  is       => 'ro',
  required => 0,
  format   => 's',
  default  => $default_host,
  doc      => "IP address of the server [Default: $default_host]"
);
option port => (
  is       => 'ro',
  required => 0,
  format   => 's',
  default  => $default_port,
  doc      => "Port number of the server [Default: $default_port]"
);
option model_name => (
  is       => 'ro',
  required => 0,
  format   => 's',
  default  => $default_model,
  doc      => "Model to process image [Default: $default_model]"
);
option model_signature => (
  is       => 'ro',
  required => 0,
  format   => 's',
  default  => $default_model_signature,
  doc      => "API signature for model [Default: $default_model_signature]"
);
option debug_verbose => (is => 'ro', doc => 'Verbose output');
option debug_loopback_interface => (
  is       => 'ro',
  required => 0,
  doc      => "Test loopback through dummy server"
);
option debug_camel => (
  is       => 'ro',
  required => 0,
  doc      => "Test using camel image"
);

sub run {
  my ($self) = @_;

  my $image_ref = $self->read_image($self->image_file);

  my $client = AI::PredictionClient::InceptionClient->new(
    host => $self->host,