| /** |
| * Licensed to the Apache Software Foundation (ASF) under one |
| * or more contributor license agreements. See the NOTICE file |
| * distributed with this work for additional information |
| * regarding copyright ownership. The ASF licenses this file |
| * to you 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. |
| */ |
| #ifndef DISABLE_WARNINGS |
| |
| #include "singa/io/encoder.h" |
| |
| #ifdef USE_OPENCV |
| |
| #include <opencv2/highgui/highgui.hpp> |
| #include <opencv2/imgproc/imgproc.hpp> |
| |
| namespace singa { |
| |
| std::string JPGEncoder::Encode(vector<Tensor>& data) { |
| // suppose image: image, data[1]: label |
| CHECK_LE(data.size(), 2u); |
| const Tensor& image = data.at(0); |
| CHECK_EQ(image.nDim(), 3u); |
| CHECK_EQ(image.data_type(), kUChar) << "Data type " << image.data_type() |
| << " is invalid for an raw image"; |
| const auto* raw = image.data<unsigned char>(); |
| cv::Mat mat; |
| if (image_dim_order_ == "HWC") { |
| size_t height = image.shape(0), width = image.shape(1), |
| channel = image.shape(2); |
| mat = cv::Mat(height, width, CV_8UC3, cv::Scalar(0, 0, 0)); |
| for (size_t i = 0; i < height; i++) |
| for (size_t j = 0; j < width; j++) |
| for (size_t k = 0; k < channel; k++) |
| mat.at<cv::Vec3b>(i, j)[k] = |
| raw[i * width * channel + j * channel + k]; |
| } else if (image_dim_order_ == "CHW") { |
| size_t channel = image.shape(0), height = image.shape(1), |
| width = image.shape(2); |
| mat = cv::Mat(height, width, CV_8UC3, cv::Scalar(0, 0, 0)); |
| for (size_t i = 0; i < height; i++) |
| for (size_t j = 0; j < width; j++) |
| for (size_t k = 0; k < channel; k++) |
| mat.at<cv::Vec3b>(i, j)[k] = raw[k * height * width + i * width + j]; |
| } else { |
| LOG(FATAL) << "Unknow dimension order for images " << image_dim_order_ |
| << " Only support 'HWC' and 'CHW'"; |
| } |
| |
| // encode image with jpg format |
| std::vector<uchar> buff; |
| std::vector<int> param = std::vector<int>(2); |
| param[0] = CV_IMWRITE_JPEG_QUALITY; |
| param[1] = 100; // default is 95 |
| cv::imencode(".jpg", mat, buff, param); |
| std::string buf(buff.begin(), buff.end()); |
| |
| std::string output; |
| ImageRecord record; |
| for (size_t i = 0; i < image.nDim(); i++) |
| record.add_shape(image.shape(i)); |
| record.set_pixel(buf); |
| |
| // suppose each image is attached with at most one label |
| if (data.size() == 2) { |
| const int* label = data[1].data<int>(); |
| //CHECK_EQ(label[0], 2); |
| record.add_label(label[0]); |
| } |
| |
| record.SerializeToString(&output); |
| return output; |
| } |
| } // namespace singa |
| #endif // USE_OPENCV |
| |
| #endif |