Chrome can't use Absl's CHECK because of collisions with its own version. PiperOrigin-RevId: 561740965
80 lines
2.9 KiB
C++
80 lines
2.9 KiB
C++
// 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/calculators/video/tool/flow_quantizer_model.h"
|
|
|
|
#include "absl/log/absl_check.h"
|
|
#include "mediapipe/framework/port/ret_check.h"
|
|
#include "mediapipe/framework/type_map.h"
|
|
|
|
namespace mediapipe {
|
|
|
|
// Uniform normalization to 0-255.
|
|
uint8_t FlowQuantizerModel::Apply(const float val, const int channel) const {
|
|
ABSL_CHECK_LT(channel, model_.min_value_size());
|
|
const auto& min_value = model_.min_value(channel);
|
|
const auto& max_value = model_.max_value(channel);
|
|
QCHECK_GT(max_value, min_value);
|
|
float res = (val - min_value) / (max_value - min_value);
|
|
if (res < 0.0) {
|
|
res = 0.0;
|
|
} else if (res > 1.0) {
|
|
res = 1.0;
|
|
}
|
|
return static_cast<uint8_t>(res * 255);
|
|
}
|
|
|
|
void FlowQuantizerModel::LoadFromProto(const QuantizerModelData& data) {
|
|
QCHECK_GT(data.max_value(0), data.min_value(0));
|
|
QCHECK_GT(data.max_value(1), data.min_value(1));
|
|
|
|
model_ = data;
|
|
}
|
|
|
|
const QuantizerModelData& FlowQuantizerModel::GetModelData() const {
|
|
return model_;
|
|
}
|
|
|
|
// Used for training, update the (min, max) range. We want to estimate the range
|
|
// of optical flow fields (Theorectically it is (-num_pixels_along_diag,
|
|
// num_pixels_along_diag).
|
|
// TODO: Taking the min and max over all training flow fields might be
|
|
// sensitive to noise. We should use more robust statistics.
|
|
void FlowQuantizerModel::AddSampleFlowField(const OpticalFlowField& flow) {
|
|
ABSL_CHECK_EQ(model_.min_value_size(), 2);
|
|
const cv::Mat_<cv::Point2f>& flow_mat = flow.flow_data();
|
|
for (int i = 0; i != flow.width(); ++i) {
|
|
for (int j = 0; j != flow.height(); ++j) {
|
|
const auto& x = flow_mat.at<cv::Point2f>(i, j).x;
|
|
const auto& y = flow_mat.at<cv::Point2f>(i, j).y;
|
|
// Always use the minimum and maximum value occurred in training flow
|
|
// fields.
|
|
model_.set_min_value(0, std::min<float>(x, model_.min_value(0)));
|
|
model_.set_min_value(1, std::min<float>(y, model_.min_value(1)));
|
|
model_.set_max_value(0, std::max<float>(x, model_.max_value(0)));
|
|
model_.set_max_value(1, std::max<float>(y, model_.max_value(1)));
|
|
}
|
|
}
|
|
}
|
|
|
|
void FlowQuantizerModel::Init() {
|
|
model_.Clear();
|
|
// Initialize the values.
|
|
for (int i = 0; i != 2; ++i) {
|
|
model_.add_min_value(std::numeric_limits<float>::max());
|
|
model_.add_max_value(-std::numeric_limits<float>::max());
|
|
}
|
|
}
|
|
} // namespace mediapipe
|