mediapipe/mediapipe/calculators/image/image_properties_calculator.cc

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// Copyright 2019 The MediaPipe Authors.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include "mediapipe/framework/api2/node.h"
#include "mediapipe/framework/calculator_framework.h"
#include "mediapipe/framework/formats/image.h"
#include "mediapipe/framework/formats/image_frame.h"
#if !MEDIAPIPE_DISABLE_GPU
#include "mediapipe/gpu/gpu_buffer.h"
#endif // !MEDIAPIPE_DISABLE_GPU
namespace mediapipe {
namespace api2 {
#if MEDIAPIPE_DISABLE_GPU
// Just a placeholder to not have to depend on mediapipe::GpuBuffer.
using GpuBuffer = AnyType;
#else
using GpuBuffer = mediapipe::GpuBuffer;
#endif // MEDIAPIPE_DISABLE_GPU
// Extracts image properties from the input image and outputs the properties.
// Currently only supports image size.
// Input:
// One of the following:
// IMAGE: An Image or ImageFrame (for backward compatibility with existing
// graphs that use IMAGE for ImageFrame input)
// IMAGE_CPU: An ImageFrame
// IMAGE_GPU: A GpuBuffer
//
// Output:
// SIZE: Size (as a std::pair<int, int>) of the input image.
//
// Example usage:
// node {
// calculator: "ImagePropertiesCalculator"
// input_stream: "IMAGE:image"
// output_stream: "SIZE:size"
// }
class ImagePropertiesCalculator : public Node {
public:
static constexpr Input<
OneOf<mediapipe::Image, mediapipe::ImageFrame>>::Optional kIn{"IMAGE"};
// IMAGE_CPU, dedicated to ImageFrame input, is only needed in some top-level
// graphs for the Python Solution APIs to figure out the type of input stream
// without running into ambiguities from IMAGE.
// TODO: Remove IMAGE_CPU once Python Solution APIs adopt Image.
static constexpr Input<mediapipe::ImageFrame>::Optional kInCpu{"IMAGE_CPU"};
static constexpr Input<GpuBuffer>::Optional kInGpu{"IMAGE_GPU"};
static constexpr Output<std::pair<int, int>> kOut{"SIZE"};
MEDIAPIPE_NODE_CONTRACT(kIn, kInCpu, kInGpu, kOut);
static absl::Status UpdateContract(CalculatorContract* cc) {
RET_CHECK_EQ(kIn(cc).IsConnected() + kInCpu(cc).IsConnected() +
kInGpu(cc).IsConnected(),
1)
<< "One and only one of IMAGE, IMAGE_CPU and IMAGE_GPU input is "
"expected.";
return absl::OkStatus();
}
absl::Status Process(CalculatorContext* cc) override {
std::pair<int, int> size;
if (kIn(cc).IsConnected()) {
kIn(cc).Visit(
[&size](const mediapipe::Image& value) {
size.first = value.width();
size.second = value.height();
},
[&size](const mediapipe::ImageFrame& value) {
size.first = value.Width();
size.second = value.Height();
});
}
if (kInCpu(cc).IsConnected()) {
const auto& image = *kInCpu(cc);
size.first = image.Width();
size.second = image.Height();
}
#if !MEDIAPIPE_DISABLE_GPU
if (kInGpu(cc).IsConnected()) {
const auto& image = *kInGpu(cc);
size.first = image.width();
size.second = image.height();
}
#endif // !MEDIAPIPE_DISABLE_GPU
kOut(cc).Send(size);
return absl::OkStatus();
}
};
MEDIAPIPE_REGISTER_NODE(ImagePropertiesCalculator);
} // namespace api2
} // namespace mediapipe