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Fixes SetAlphaCalculator silently failing to convert float inputs.

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PiperOrigin-RevId: 487868409
This commit is contained in:
MediaPipe Team 2022-11-11 11:04:28 -08:00 committed by Copybara-Service
parent 185a57cec5
commit b0583a1821
1 changed files with 45 additions and 17 deletions
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62
mediapipe/calculators/image/set_alpha_calculator.cc
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@ -46,6 +46,40 @@ constexpr char kOutputFrameTagGpu[] = "IMAGE_GPU";
constexpr int kNumChannelsRGBA = 4;
enum { ATTRIB_VERTEX, ATTRIB_TEXTURE_POSITION, NUM_ATTRIBUTES };
// Combines an RGB cv::Mat and a single-channel alpha cv::Mat of the same
// dimensions into an RGBA cv::Mat. Alpha may be read as uint8 or as another
// numeric type; in the latter case, it is upscaled to values between 0 and 255
// from an assumed input range of [0, 1). RGB and RGBA Mat's must be uchar.
template <typename AlphaType>
absl::Status MergeRGBA8Image(const cv::Mat input_mat, const cv::Mat& alpha_mat,
cv::Mat& output_mat) {
RET_CHECK_EQ(input_mat.rows, alpha_mat.rows);
RET_CHECK_EQ(input_mat.cols, alpha_mat.cols);
RET_CHECK_EQ(input_mat.rows, output_mat.rows);
RET_CHECK_EQ(input_mat.cols, output_mat.cols);
for (int i = 0; i < output_mat.rows; ++i) {
const uchar* in_ptr = input_mat.ptr<uchar>(i);
const AlphaType* alpha_ptr = alpha_mat.ptr<AlphaType>(i);
uchar* out_ptr = output_mat.ptr<uchar>(i);
for (int j = 0; j < output_mat.cols; ++j) {
const int out_idx = j * kNumChannelsRGBA;
const int in_idx = j * input_mat.channels();
const int alpha_idx = j * alpha_mat.channels();
out_ptr[out_idx + 0] = in_ptr[in_idx + 0];
out_ptr[out_idx + 1] = in_ptr[in_idx + 1];
out_ptr[out_idx + 2] = in_ptr[in_idx + 2];
if constexpr (std::is_same<AlphaType, uchar>::value) {
out_ptr[out_idx + 3] = alpha_ptr[alpha_idx + 0];
} else {
const AlphaType alpha = alpha_ptr[alpha_idx + 0];
out_ptr[out_idx + 3] = static_cast<uchar>(round(alpha * 255.0f));
}
}
}
return absl::OkStatus();
}
} // namespace
// A calculator for setting the alpha channel of an RGBA image.
@ -250,28 +284,22 @@ absl::Status SetAlphaCalculator::RenderCpu(CalculatorContext* cc) {
const bool has_alpha_mask = cc->Inputs().HasTag(kInputAlphaTag) &&
!cc->Inputs().Tag(kInputAlphaTag).IsEmpty();
const bool use_alpa_mask = alpha_value_ < 0 && has_alpha_mask;
const bool use_alpha_mask = alpha_value_ < 0 && has_alpha_mask;
// Setup alpha image and Update image in CPU.
if (use_alpa_mask) {
if (use_alpha_mask) {
const auto& alpha_mask = cc->Inputs().Tag(kInputAlphaTag).Get<ImageFrame>();
cv::Mat alpha_mat = mediapipe::formats::MatView(&alpha_mask);
RET_CHECK_EQ(input_mat.rows, alpha_mat.rows);
RET_CHECK_EQ(input_mat.cols, alpha_mat.cols);
for (int i = 0; i < output_mat.rows; ++i) {
const uchar* in_ptr = input_mat.ptr<uchar>(i);
uchar* alpha_ptr = alpha_mat.ptr<uchar>(i);
uchar* out_ptr = output_mat.ptr<uchar>(i);
for (int j = 0; j < output_mat.cols; ++j) {
const int out_idx = j * kNumChannelsRGBA;
const int in_idx = j * input_mat.channels();
const int alpha_idx = j * alpha_mat.channels();
out_ptr[out_idx + 0] = in_ptr[in_idx + 0];
out_ptr[out_idx + 1] = in_ptr[in_idx + 1];
out_ptr[out_idx + 2] = in_ptr[in_idx + 2];
out_ptr[out_idx + 3] = alpha_ptr[alpha_idx + 0]; // channel 0 of mask
}
const bool alpha_is_float = alpha_mat.type() == CV_32FC1;
RET_CHECK(alpha_is_float || alpha_mat.type() == CV_8UC1);
if (alpha_is_float) {
MP_RETURN_IF_ERROR(
MergeRGBA8Image<float>(input_mat, alpha_mat, output_mat));
} else {
MP_RETURN_IF_ERROR(
MergeRGBA8Image<uchar>(input_mat, alpha_mat, output_mat));
}
} else {
const uchar alpha_value = std::min(std::max(0.0f, alpha_value_), 255.0f);