anirudh2290 commented on a change in pull request #13611: add image resize operator and support batch_size URL: https://github.com/apache/incubator-mxnet/pull/13611#discussion_r243442132
########## File path: src/operator/image/resize-inl.h ########## @@ -0,0 +1,186 @@ +/* +* 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. +*/ + +/*! +* \file image_random-inl.h +* \brief +* \author +*/ +#ifndef MXNET_OPERATOR_IMAGE_RESIZE_INL_H_ +#define MXNET_OPERATOR_IMAGE_RESIZE_INL_H_ + + +#include <vector> + +#include "mxnet/base.h" +#include "../mxnet_op.h" +#include "../operator_common.h" +#include "image_utils.h" +#if MXNET_USE_OPENCV + #include <opencv2/opencv.hpp> +#endif // MXNET_USE_OPENCV + +namespace mxnet { +namespace op { +namespace image { + +struct ResizeParam : public dmlc::Parameter<ResizeParam> { + nnvm::Tuple<int> size; + bool keep_ratio; + int interp; + DMLC_DECLARE_PARAMETER(ResizeParam) { + DMLC_DECLARE_FIELD(size) + .set_default(nnvm::Tuple<int>()) + .describe("Size of new image. Could be (width, height) or (size)"); + DMLC_DECLARE_FIELD(keep_ratio) + .describe("Whether to resize the short edge or both edges to `size`, " + "if size is give as an integer."); + DMLC_DECLARE_FIELD(interp) + .set_default(1) + .describe("Interpolation method for resizing. By default uses bilinear interpolation" + "Options are INTER_NEAREST - a nearest-neighbor interpolation" + "INTER_LINEAR - a bilinear interpolation" + "INTER_AREA - resampling using pixel area relation" + "INTER_CUBIC - a bicubic interpolation over 4x4 pixel neighborhood" + "INTER_LANCZOS4 - a Lanczos interpolation over 8x8 pixel neighborhood"); + } +}; + +inline SizeParam GetHeightAndWidth(int data_h, + int data_w, + const ResizeParam& param) { + CHECK((param.size.ndim() == 1) || (param.size.ndim() == 2)) + << "Input size dimension must be 1 or 2, but got " + << param.size.ndim(); + int resized_h; + int resized_w; + if (param.size.ndim() == 1) { + CHECK_GT(param.size[0], 0) + << "Input size should greater than 0, but got " + << param.size[0]; + if (!param.keep_ratio) { + resized_h = param.size[0]; + resized_w = param.size[0]; + } else { + if (data_h > data_w) { + resized_w = param.size[0]; + resized_h = static_cast<int>(data_h * resized_w / data_w); + } else { + resized_h = param.size[0]; + resized_w = static_cast<int>(data_w * resized_h / data_h); + } + } + } else { + CHECK_GT(param.size[0], 0) + << "Input width should greater than 0, but got " + << param.size[0]; + CHECK_GT(param.size[1], 0) + << "Input height should greater than 0, but got " + << param.size[1]; + resized_h = param.size[1]; + resized_w = param.size[0]; + } + return SizeParam(resized_h, resized_w); +} + +inline bool ResizeShape(const nnvm::NodeAttrs& attrs, + std::vector<TShape> *in_attrs, + std::vector<TShape> *out_attrs) { + // input attrs should only be (h, w, c) or (n, h, w, c) + CHECK((in_attrs->at(0).ndim() == 3U) || (in_attrs->at(0).ndim() == 4U)) + << "Input image dimension should be 3 or 4 but got " + << in_attrs->at(0).ndim(); + const auto& ishape = (*in_attrs)[0]; + const ResizeParam& param = nnvm::get<ResizeParam>(attrs.parsed); + SizeParam size; + if (ishape.ndim() == 3) { + size = GetHeightAndWidth(ishape[H], ishape[W], param); + SHAPE_ASSIGN_CHECK(*out_attrs, 0, TShape({size.height, size.width, ishape[C]})); + } else { + size = GetHeightAndWidth(ishape[kH], ishape[kW], param); + SHAPE_ASSIGN_CHECK(*out_attrs, 0, + TShape({ishape[N], size.height, size.width, ishape[kC]})); + } + return true; +} + +inline void ResizeImpl(const std::vector<TBlob> &inputs, + const std::vector<TBlob> &outputs, + const int height, + const int width, + const int interp, + const int input_index = 0, + const int output_index = 0) { +#if MXNET_USE_OPENCV + CHECK_NE(inputs[0].type_flag_, mshadow::kFloat16) << "image resize doesn't support fp16"; + // mapping to opencv matrix element type according to channel + const int DTYPE[] = {CV_32F, CV_64F, -1, CV_8U, CV_32S}; + if (inputs[0].ndim() == 3) { + const int cv_type = CV_MAKETYPE(DTYPE[inputs[0].type_flag_], inputs[0].shape_[2]); + cv::Mat buf(inputs[0].shape_[H], inputs[0].shape_[W], cv_type, inputs[0].dptr_); + cv::Mat dst(outputs[0].shape_[H], outputs[0].shape_[W], cv_type, outputs[0].dptr_); + cv::resize(buf, dst, cv::Size(width, height), 0, 0, interp); + CHECK(!dst.empty()); + CHECK_EQ(static_cast<void*>(dst.ptr()), outputs[0].dptr_); + } else { + const int cv_type = CV_MAKETYPE(DTYPE[inputs[0].type_flag_], inputs[0].shape_[3]); + MSHADOW_TYPE_SWITCH(outputs[0].type_flag_, DType, { + cv::Mat buf(inputs[0].shape_[kH], inputs[0].shape_[kW], cv_type, + inputs[0].dptr<DType>() + input_index); + cv::Mat dst(outputs[0].shape_[kH], outputs[0].shape_[kW], cv_type, Review comment: are these calls thread safe ? ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] With regards, Apache Git Services
