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Using Google cloud vision easily
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require 'google/apis/vision_v1' | |
class GcvApi | |
def initialize api_key, option={} | |
default = { | |
retry: 5, | |
max_results: 2048, | |
language_hints: 'ja' | |
} | |
@option = default.merge option | |
@vision = Google::Apis::VisionV1::VisionService.new | |
@vision.key = api_key | |
Google::Apis::RequestOptions.default.retries = @option[:retry] | |
end | |
def analyzed_data image_path | |
request = Google::Apis::VisionV1::BatchAnnotateImagesRequest.new( | |
requests: [{ | |
image: {content: File.read(image_path)}, | |
features: [{ | |
type: 'TEXT_DETECTION', | |
maxResults: @option[:max_results] | |
}], | |
imageContext: {languageHints: @option[:language_hints]} | |
}] | |
) | |
@vision.annotate_image(request) | |
end | |
def json image_path | |
self.analyzed_data(image_path).to_json | |
end | |
def text image_path | |
result = self.analyzed_data(image_path) | |
result.responses.map do |r| | |
r.text_annotations.first.description | |
end | |
end | |
end |
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