This directory contains an idiomatic C++ client library for the Cloud Vision API. Integrate Google Vision features, including image labeling, face, logo, and landmark detection, optical character recognition (OCR), and detection of explicit content, into applications.
While this library is GA, please note that the Google Cloud C++ client libraries do not follow Semantic Versioning.
The quickstart/ directory contains a minimal environment to get started using this client library in a larger project. The following “Hello World” program is used in this quickstart, and should give you a taste of this library.
For detailed instructions on how to build and install this library, see the top-level README.
#include "google/cloud/vision/v1/image_annotator_client.h"
#include <iostream>
int main(int argc, char* argv[]) try {
auto constexpr kDefaultUri =
"gs://cloud-samples-data/vision/label/wakeupcat.jpg";
if (argc > 2) {
std::cerr << "Usage: " << argv[0] << " [gcs-uri]\n"
<< " The gcs-uri must be in gs://... format. It defaults to "
<< kDefaultUri << "\n";
return 1;
}
auto uri = std::string{argc == 2 ? argv[1] : kDefaultUri};
namespace vision = ::google::cloud::vision_v1;
auto client =
vision::ImageAnnotatorClient(vision::MakeImageAnnotatorConnection());
// Define the image we want to annotate
google::cloud::vision::v1::Image image;
image.mutable_source()->set_image_uri(uri);
// Create a request to annotate this image with Request text annotations for a
// file stored in GCS.
google::cloud::vision::v1::AnnotateImageRequest request;
*request.mutable_image() = std::move(image);
request.add_features()->set_type(
google::cloud::vision::v1::Feature::TEXT_DETECTION);
google::cloud::vision::v1::BatchAnnotateImagesRequest batch_request;
*batch_request.add_requests() = std::move(request);
auto batch = client.BatchAnnotateImages(batch_request);
if (!batch) throw std::move(batch).status();
// Find the longest annotation and print it
auto result = std::string{};
for (auto const& response : batch->responses()) {
for (auto const& annotation : response.text_annotations()) {
if (result.size() < annotation.description().size()) {
result = annotation.description();
}
}
}
std::cout << "The image contains this text: " << result << "\n";
return 0;
} catch (google::cloud::Status const& status) {
std::cerr << "google::cloud::Status thrown: " << status << "\n";
return 1;
}
.h files