Add option for nearest neighbor interpolation.
PiperOrigin-RevId: 564786213
This commit is contained in:
parent
5daed78844
commit
4ba1dadf92
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@ -263,7 +263,10 @@ cc_library(
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"//mediapipe/framework/port:opencv_imgproc",
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"//mediapipe/framework/port:ret_check",
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"//mediapipe/framework/port:status",
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"//mediapipe/gpu:gl_base_hdr",
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"//mediapipe/gpu:scale_mode_cc_proto",
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"@com_google_absl//absl/status",
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"@com_google_absl//absl/strings",
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] + select({
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"//mediapipe/gpu:disable_gpu": [],
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"//conditions:default": [
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@ -276,6 +279,36 @@ cc_library(
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alwayslink = 1,
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)
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cc_test(
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name = "image_transformation_calculator_test",
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srcs = ["image_transformation_calculator_test.cc"],
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data = ["//mediapipe/calculators/image/testdata:test_images"],
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tags = [
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"desktop_only_test",
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],
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deps = [
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":image_transformation_calculator",
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"//mediapipe/framework:calculator_cc_proto",
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"//mediapipe/framework:calculator_framework",
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"//mediapipe/framework:calculator_runner",
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"//mediapipe/framework/deps:file_path",
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"//mediapipe/framework/formats:image_format_cc_proto",
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"//mediapipe/framework/formats:image_frame",
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"//mediapipe/framework/formats:image_frame_opencv",
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"//mediapipe/framework/port:gtest",
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"//mediapipe/framework/port:opencv_imgcodecs",
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"//mediapipe/framework/port:opencv_imgproc",
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"//mediapipe/framework/port:parse_text_proto",
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"//mediapipe/gpu:gpu_buffer_to_image_frame_calculator",
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"//mediapipe/gpu:image_frame_to_gpu_buffer_calculator",
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"//third_party:opencv",
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"@com_google_absl//absl/container:flat_hash_set",
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"@com_google_absl//absl/flags:flag",
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"@com_google_absl//absl/strings",
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"@com_google_googletest//:gtest_main",
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],
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)
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cc_library(
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name = "image_cropping_calculator",
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srcs = ["image_cropping_calculator.cc"],
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@ -12,6 +12,7 @@
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "absl/status/status.h"
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#include "mediapipe/calculators/image/image_transformation_calculator.pb.h"
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#include "mediapipe/calculators/image/rotation_mode.pb.h"
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#include "mediapipe/framework/calculator_framework.h"
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@ -24,6 +25,7 @@
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#include "mediapipe/framework/port/ret_check.h"
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#include "mediapipe/framework/port/status.h"
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#include "mediapipe/framework/timestamp.h"
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#include "mediapipe/gpu/gl_base.h"
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#include "mediapipe/gpu/scale_mode.pb.h"
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#if !MEDIAPIPE_DISABLE_GPU
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@ -60,42 +62,42 @@ constexpr char kVideoPrestreamTag[] = "VIDEO_PRESTREAM";
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int RotationModeToDegrees(mediapipe::RotationMode_Mode rotation) {
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switch (rotation) {
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case mediapipe::RotationMode_Mode_UNKNOWN:
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case mediapipe::RotationMode_Mode_ROTATION_0:
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case mediapipe::RotationMode::UNKNOWN:
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case mediapipe::RotationMode::ROTATION_0:
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return 0;
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case mediapipe::RotationMode_Mode_ROTATION_90:
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case mediapipe::RotationMode::ROTATION_90:
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return 90;
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case mediapipe::RotationMode_Mode_ROTATION_180:
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case mediapipe::RotationMode::ROTATION_180:
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return 180;
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case mediapipe::RotationMode_Mode_ROTATION_270:
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case mediapipe::RotationMode::ROTATION_270:
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return 270;
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}
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}
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mediapipe::RotationMode_Mode DegreesToRotationMode(int degrees) {
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switch (degrees) {
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case 0:
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return mediapipe::RotationMode_Mode_ROTATION_0;
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return mediapipe::RotationMode::ROTATION_0;
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case 90:
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return mediapipe::RotationMode_Mode_ROTATION_90;
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return mediapipe::RotationMode::ROTATION_90;
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case 180:
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return mediapipe::RotationMode_Mode_ROTATION_180;
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return mediapipe::RotationMode::ROTATION_180;
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case 270:
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return mediapipe::RotationMode_Mode_ROTATION_270;
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return mediapipe::RotationMode::ROTATION_270;
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default:
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return mediapipe::RotationMode_Mode_UNKNOWN;
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return mediapipe::RotationMode::UNKNOWN;
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}
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}
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mediapipe::ScaleMode_Mode ParseScaleMode(
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mediapipe::ScaleMode_Mode scale_mode,
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mediapipe::ScaleMode_Mode default_mode) {
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switch (scale_mode) {
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case mediapipe::ScaleMode_Mode_DEFAULT:
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case mediapipe::ScaleMode::DEFAULT:
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return default_mode;
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case mediapipe::ScaleMode_Mode_STRETCH:
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case mediapipe::ScaleMode::STRETCH:
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return scale_mode;
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case mediapipe::ScaleMode_Mode_FIT:
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case mediapipe::ScaleMode::FIT:
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return scale_mode;
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case mediapipe::ScaleMode_Mode_FILL_AND_CROP:
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case mediapipe::ScaleMode::FILL_AND_CROP:
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return scale_mode;
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default:
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return default_mode;
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@ -208,6 +210,8 @@ class ImageTransformationCalculator : public CalculatorBase {
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bool use_gpu_ = false;
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cv::Scalar padding_color_;
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ImageTransformationCalculatorOptions::InterpolationMode interpolation_mode_;
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#if !MEDIAPIPE_DISABLE_GPU
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GlCalculatorHelper gpu_helper_;
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std::unique_ptr<QuadRenderer> rgb_renderer_;
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@ -343,6 +347,11 @@ absl::Status ImageTransformationCalculator::Open(CalculatorContext* cc) {
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options_.padding_color().green(),
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options_.padding_color().blue());
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interpolation_mode_ = options_.interpolation_mode();
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if (options_.interpolation_mode() ==
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ImageTransformationCalculatorOptions::DEFAULT) {
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interpolation_mode_ = ImageTransformationCalculatorOptions::LINEAR;
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}
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if (use_gpu_) {
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#if !MEDIAPIPE_DISABLE_GPU
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// Let the helper access the GL context information.
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@ -457,26 +466,48 @@ absl::Status ImageTransformationCalculator::RenderCpu(CalculatorContext* cc) {
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ComputeOutputDimensions(input_width, input_height, &output_width,
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&output_height);
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int opencv_interpolation_mode = cv::INTER_LINEAR;
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if (output_width_ > 0 && output_height_ > 0) {
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cv::Mat scaled_mat;
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if (scale_mode_ == mediapipe::ScaleMode_Mode_STRETCH) {
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int scale_flag =
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input_mat.cols > output_width_ && input_mat.rows > output_height_
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? cv::INTER_AREA
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: cv::INTER_LINEAR;
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if (scale_mode_ == mediapipe::ScaleMode::STRETCH) {
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if (interpolation_mode_ == ImageTransformationCalculatorOptions::LINEAR) {
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// Use INTER_AREA for downscaling if interpolation mode is set to
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// LINEAR.
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if (input_mat.cols > output_width_ && input_mat.rows > output_height_) {
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opencv_interpolation_mode = cv::INTER_AREA;
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} else {
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opencv_interpolation_mode = cv::INTER_LINEAR;
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}
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} else {
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opencv_interpolation_mode = cv::INTER_NEAREST;
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}
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cv::resize(input_mat, scaled_mat, cv::Size(output_width_, output_height_),
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0, 0, scale_flag);
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0, 0, opencv_interpolation_mode);
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} else {
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const float scale =
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std::min(static_cast<float>(output_width_) / input_width,
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static_cast<float>(output_height_) / input_height);
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const int target_width = std::round(input_width * scale);
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const int target_height = std::round(input_height * scale);
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int scale_flag = scale < 1.0f ? cv::INTER_AREA : cv::INTER_LINEAR;
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if (scale_mode_ == mediapipe::ScaleMode_Mode_FIT) {
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if (interpolation_mode_ == ImageTransformationCalculatorOptions::LINEAR) {
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// Use INTER_AREA for downscaling if interpolation mode is set to
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// LINEAR.
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if (scale < 1.0f) {
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opencv_interpolation_mode = cv::INTER_AREA;
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} else {
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opencv_interpolation_mode = cv::INTER_LINEAR;
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}
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} else {
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opencv_interpolation_mode = cv::INTER_NEAREST;
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}
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if (scale_mode_ == mediapipe::ScaleMode::FIT) {
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cv::Mat intermediate_mat;
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cv::resize(input_mat, intermediate_mat,
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cv::Size(target_width, target_height), 0, 0, scale_flag);
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cv::Size(target_width, target_height), 0, 0,
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opencv_interpolation_mode);
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const int top = (output_height_ - target_height) / 2;
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const int bottom = output_height_ - target_height - top;
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const int left = (output_width_ - target_width) / 2;
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@ -488,7 +519,7 @@ absl::Status ImageTransformationCalculator::RenderCpu(CalculatorContext* cc) {
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padding_color_);
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} else {
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cv::resize(input_mat, scaled_mat, cv::Size(target_width, target_height),
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0, 0, scale_flag);
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0, 0, opencv_interpolation_mode);
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output_width = target_width;
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output_height = target_height;
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}
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@ -514,17 +545,17 @@ absl::Status ImageTransformationCalculator::RenderCpu(CalculatorContext* cc) {
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cv::warpAffine(input_mat, rotated_mat, rotation_mat, rotated_size);
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} else {
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switch (rotation_) {
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case mediapipe::RotationMode_Mode_UNKNOWN:
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case mediapipe::RotationMode_Mode_ROTATION_0:
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case mediapipe::RotationMode::UNKNOWN:
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case mediapipe::RotationMode::ROTATION_0:
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rotated_mat = input_mat;
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break;
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case mediapipe::RotationMode_Mode_ROTATION_90:
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case mediapipe::RotationMode::ROTATION_90:
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cv::rotate(input_mat, rotated_mat, cv::ROTATE_90_COUNTERCLOCKWISE);
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break;
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case mediapipe::RotationMode_Mode_ROTATION_180:
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case mediapipe::RotationMode::ROTATION_180:
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cv::rotate(input_mat, rotated_mat, cv::ROTATE_180);
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break;
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case mediapipe::RotationMode_Mode_ROTATION_270:
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case mediapipe::RotationMode::ROTATION_270:
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cv::rotate(input_mat, rotated_mat, cv::ROTATE_90_CLOCKWISE);
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break;
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}
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@ -561,7 +592,7 @@ absl::Status ImageTransformationCalculator::RenderGpu(CalculatorContext* cc) {
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ComputeOutputDimensions(input_width, input_height, &output_width,
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&output_height);
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if (scale_mode_ == mediapipe::ScaleMode_Mode_FILL_AND_CROP) {
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if (scale_mode_ == mediapipe::ScaleMode::FILL_AND_CROP) {
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const float scale =
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std::min(static_cast<float>(output_width_) / input_width,
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static_cast<float>(output_height_) / input_height);
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@ -628,11 +659,20 @@ absl::Status ImageTransformationCalculator::RenderGpu(CalculatorContext* cc) {
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glActiveTexture(GL_TEXTURE1);
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glBindTexture(src1.target(), src1.name());
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if (interpolation_mode_ == ImageTransformationCalculatorOptions::NEAREST) {
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glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MAG_FILTER, GL_NEAREST);
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glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MIN_FILTER, GL_NEAREST);
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}
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MP_RETURN_IF_ERROR(renderer->GlRender(
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src1.width(), src1.height(), dst.width(), dst.height(), scale_mode,
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rotation, flip_horizontally_, flip_vertically_,
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/*flip_texture=*/false));
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// Reset interpolation modes to MediaPipe defaults.
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glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MAG_FILTER, GL_LINEAR);
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glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MIN_FILTER, GL_LINEAR);
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glActiveTexture(GL_TEXTURE1);
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glBindTexture(src1.target(), 0);
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@ -652,8 +692,8 @@ void ImageTransformationCalculator::ComputeOutputDimensions(
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if (output_width_ > 0 && output_height_ > 0) {
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*output_width = output_width_;
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*output_height = output_height_;
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} else if (rotation_ == mediapipe::RotationMode_Mode_ROTATION_90 ||
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rotation_ == mediapipe::RotationMode_Mode_ROTATION_270) {
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} else if (rotation_ == mediapipe::RotationMode::ROTATION_90 ||
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rotation_ == mediapipe::RotationMode::ROTATION_270) {
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*output_width = input_height;
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*output_height = input_width;
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} else {
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@ -666,9 +706,9 @@ void ImageTransformationCalculator::ComputeOutputLetterboxPadding(
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int input_width, int input_height, int output_width, int output_height,
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std::array<float, 4>* padding) {
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padding->fill(0.f);
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if (scale_mode_ == mediapipe::ScaleMode_Mode_FIT) {
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if (rotation_ == mediapipe::RotationMode_Mode_ROTATION_90 ||
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rotation_ == mediapipe::RotationMode_Mode_ROTATION_270) {
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if (scale_mode_ == mediapipe::ScaleMode::FIT) {
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if (rotation_ == mediapipe::RotationMode::ROTATION_90 ||
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rotation_ == mediapipe::RotationMode::ROTATION_270) {
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std::swap(input_width, input_height);
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}
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const float input_aspect_ratio =
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@ -54,4 +54,15 @@ message ImageTransformationCalculatorOptions {
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// The color for the padding. This option is only used when the scale mode is
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// FIT. Default is black. This is for CPU only.
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optional Color padding_color = 8;
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// Interpolation method to use. Note that on CPU when LINEAR is specified,
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// INTER_LINEAR is used for upscaling and INTER_AREA is used for downscaling.
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enum InterpolationMode {
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DEFAULT = 0;
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LINEAR = 1;
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NEAREST = 2;
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}
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// Mode DEFAULT will use LINEAR interpolation.
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optional InterpolationMode interpolation_mode = 9;
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}
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@ -0,0 +1,174 @@
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#include <string>
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#include <utility>
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#include <vector>
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#include "absl/container/flat_hash_set.h"
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#include "absl/flags/flag.h"
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#include "absl/strings/substitute.h"
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#include "mediapipe/framework/calculator.pb.h"
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#include "mediapipe/framework/calculator_framework.h"
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#include "mediapipe/framework/calculator_runner.h"
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#include "mediapipe/framework/deps/file_path.h"
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#include "mediapipe/framework/formats/image_format.pb.h"
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#include "mediapipe/framework/formats/image_frame.h"
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#include "mediapipe/framework/formats/image_frame_opencv.h"
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#include "mediapipe/framework/port/gtest.h"
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#include "mediapipe/framework/port/opencv_imgcodecs_inc.h"
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#include "mediapipe/framework/port/opencv_imgproc_inc.h"
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#include "mediapipe/framework/port/parse_text_proto.h"
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#include "testing/base/public/gmock.h"
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#include "testing/base/public/googletest.h"
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#include "third_party/OpenCV/core/mat.hpp"
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namespace mediapipe {
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namespace {
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absl::flat_hash_set<int> computeUniqueValues(const cv::Mat& mat) {
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// Compute the unique values in cv::Mat
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absl::flat_hash_set<int> unique_values;
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for (int i = 0; i < mat.rows; i++) {
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for (int j = 0; j < mat.cols; j++) {
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unique_values.insert(mat.at<unsigned char>(i, j));
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}
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}
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return unique_values;
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}
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TEST(ImageTransformationCalculatorTest, NearestNeighborResizing) {
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cv::Mat input_mat;
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cv::cvtColor(cv::imread(file::JoinPath("./",
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"/mediapipe/calculators/"
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"image/testdata/binary_mask.png")),
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input_mat, cv::COLOR_BGR2GRAY);
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Packet input_image_packet = MakePacket<ImageFrame>(
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ImageFormat::GRAY8, input_mat.size().width, input_mat.size().height);
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input_mat.copyTo(formats::MatView(&(input_image_packet.Get<ImageFrame>())));
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std::vector<std::pair<int, int>> output_dims{
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{256, 333}, {512, 512}, {1024, 1024}};
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for (auto& output_dim : output_dims) {
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Packet input_output_dim_packet =
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MakePacket<std::pair<int, int>>(output_dim);
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std::vector<std::string> scale_modes{"FIT", "STRETCH"};
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for (const auto& scale_mode : scale_modes) {
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CalculatorGraphConfig::Node node_config =
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ParseTextProtoOrDie<CalculatorGraphConfig::Node>(
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absl::Substitute(R"(
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calculator: "ImageTransformationCalculator"
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input_stream: "IMAGE:input_image"
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input_stream: "OUTPUT_DIMENSIONS:image_size"
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output_stream: "IMAGE:output_image"
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options: {
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[mediapipe.ImageTransformationCalculatorOptions.ext]: {
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scale_mode: $0
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interpolation_mode: NEAREST
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}
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})",
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scale_mode));
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CalculatorRunner runner(node_config);
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runner.MutableInputs()->Tag("IMAGE").packets.push_back(
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input_image_packet.At(Timestamp(0)));
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runner.MutableInputs()
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->Tag("OUTPUT_DIMENSIONS")
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.packets.push_back(input_output_dim_packet.At(Timestamp(0)));
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MP_ASSERT_OK(runner.Run());
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const auto& outputs = runner.Outputs();
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ASSERT_EQ(outputs.NumEntries(), 1);
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const std::vector<Packet>& packets = outputs.Tag("IMAGE").packets;
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ASSERT_EQ(packets.size(), 1);
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const auto& result = packets[0].Get<ImageFrame>();
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ASSERT_EQ(output_dim.first, result.Width());
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ASSERT_EQ(output_dim.second, result.Height());
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auto unique_input_values = computeUniqueValues(input_mat);
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auto unique_output_values =
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computeUniqueValues(formats::MatView(&result));
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EXPECT_THAT(unique_input_values,
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::testing::ContainerEq(unique_output_values));
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}
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}
|
||||
}
|
||||
|
||||
TEST(ImageTransformationCalculatorTest, NearestNeighborResizingGpu) {
|
||||
cv::Mat input_mat;
|
||||
cv::cvtColor(cv::imread(file::JoinPath("./",
|
||||
"/mediapipe/calculators/"
|
||||
"image/testdata/binary_mask.png")),
|
||||
input_mat, cv::COLOR_BGR2RGBA);
|
||||
|
||||
std::vector<std::pair<int, int>> output_dims{
|
||||
{256, 333}, {512, 512}, {1024, 1024}};
|
||||
|
||||
for (auto& output_dim : output_dims) {
|
||||
std::vector<std::string> scale_modes{"FIT"}; //, "STRETCH"};
|
||||
for (const auto& scale_mode : scale_modes) {
|
||||
CalculatorGraphConfig graph_config =
|
||||
ParseTextProtoOrDie<CalculatorGraphConfig>(
|
||||
absl::Substitute(R"(
|
||||
input_stream: "input_image"
|
||||
input_stream: "image_size"
|
||||
output_stream: "output_image"
|
||||
|
||||
node {
|
||||
calculator: "ImageFrameToGpuBufferCalculator"
|
||||
input_stream: "input_image"
|
||||
output_stream: "input_image_gpu"
|
||||
}
|
||||
|
||||
node {
|
||||
calculator: "ImageTransformationCalculator"
|
||||
input_stream: "IMAGE_GPU:input_image_gpu"
|
||||
input_stream: "OUTPUT_DIMENSIONS:image_size"
|
||||
output_stream: "IMAGE_GPU:output_image_gpu"
|
||||
options: {
|
||||
[mediapipe.ImageTransformationCalculatorOptions.ext]: {
|
||||
scale_mode: $0
|
||||
interpolation_mode: NEAREST
|
||||
}
|
||||
}
|
||||
}
|
||||
node {
|
||||
calculator: "GpuBufferToImageFrameCalculator"
|
||||
input_stream: "output_image_gpu"
|
||||
output_stream: "output_image"
|
||||
})",
|
||||
scale_mode));
|
||||
ImageFrame input_image(ImageFormat::SRGBA, input_mat.size().width,
|
||||
input_mat.size().height);
|
||||
input_mat.copyTo(formats::MatView(&input_image));
|
||||
|
||||
std::vector<Packet> output_image_packets;
|
||||
tool::AddVectorSink("output_image", &graph_config, &output_image_packets);
|
||||
|
||||
CalculatorGraph graph(graph_config);
|
||||
MP_ASSERT_OK(graph.StartRun({}));
|
||||
|
||||
MP_ASSERT_OK(graph.AddPacketToInputStream(
|
||||
"input_image",
|
||||
MakePacket<ImageFrame>(std::move(input_image)).At(Timestamp(0))));
|
||||
MP_ASSERT_OK(graph.AddPacketToInputStream(
|
||||
"image_size",
|
||||
MakePacket<std::pair<int, int>>(output_dim).At(Timestamp(0))));
|
||||
|
||||
MP_ASSERT_OK(graph.WaitUntilIdle());
|
||||
ASSERT_THAT(output_image_packets, testing::SizeIs(1));
|
||||
|
||||
const auto& output_image = output_image_packets[0].Get<ImageFrame>();
|
||||
ASSERT_EQ(output_dim.first, output_image.Width());
|
||||
ASSERT_EQ(output_dim.second, output_image.Height());
|
||||
|
||||
auto unique_input_values = computeUniqueValues(input_mat);
|
||||
auto unique_output_values =
|
||||
computeUniqueValues(formats::MatView(&output_image));
|
||||
EXPECT_THAT(unique_input_values,
|
||||
::testing::ContainerEq(unique_output_values));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
} // namespace
|
||||
} // namespace mediapipe
|
1
mediapipe/calculators/image/testdata/BUILD
vendored
1
mediapipe/calculators/image/testdata/BUILD
vendored
|
@ -18,6 +18,7 @@ licenses(["notice"])
|
|||
filegroup(
|
||||
name = "test_images",
|
||||
srcs = [
|
||||
"binary_mask.png",
|
||||
"dino.jpg",
|
||||
"dino_quality_50.jpg",
|
||||
"dino_quality_80.jpg",
|
||||
|
|
BIN
mediapipe/calculators/image/testdata/binary_mask.png
vendored
Normal file
BIN
mediapipe/calculators/image/testdata/binary_mask.png
vendored
Normal file
Binary file not shown.
After Width: | Height: | Size: 771 B |
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Reference in New Issue
Block a user