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cpm_data_transformer.cpp
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cpm_data_transformer.cpp
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#ifdef USE_OPENCV
#include <opencv2/core/core.hpp>
//#include <opencv2/opencv.hpp>
#include <opencv2/contrib/contrib.hpp>
#include <opencv2/highgui/highgui.hpp>
#endif // USE_OPENCV
#include <iostream>
#include <algorithm>
#include <fstream>
using namespace cv;
using namespace std;
#include <string>
#include <sstream>
#include <vector>
#include "caffe/cpm_data_transformer.hpp"
#include "caffe/util/io.hpp"
#include "caffe/util/benchmark.hpp"
#include "caffe/util/math_functions.hpp"
#include "caffe/util/rng.hpp"
//#include <omp.h>
namespace caffe {
template<typename Dtype>
void DecodeFloats(const string& data, size_t idx, Dtype* pf, size_t len) {
memcpy(pf, const_cast<char*>(&data[idx]), len * sizeof(Dtype));
}
string DecodeString(const string& data, size_t idx) {
string result = "";
int i = 0;
while(data[idx+i] != 0){
result.push_back(char(data[idx+i]));
i++;
}
return result;
}
template<typename Dtype>
void CPMDataTransformer<Dtype>::ReadMetaData(MetaData& meta, const string& data, size_t offset3, size_t offset1) { //very specific to genLMDB.py
// ------------------- Dataset name ----------------------
meta.dataset = DecodeString(data, offset3);
// ------------------- Image Dimension -------------------
float height, width;
DecodeFloats(data, offset3+offset1, &height, 1);
DecodeFloats(data, offset3+offset1+4, &width, 1);
meta.img_size = Size(width, height);
// ----------- Validation, nop, counters -----------------
meta.isValidation = (data[offset3+2*offset1]==0 ? false : true);
meta.numOtherPeople = (int)data[offset3+2*offset1+1];
meta.people_index = (int)data[offset3+2*offset1+2];
float annolist_index;
DecodeFloats(data, offset3+2*offset1+3, &annolist_index, 1);
meta.annolist_index = (int)annolist_index;
float write_number;
DecodeFloats(data, offset3+2*offset1+7, &write_number, 1);
meta.write_number = (int)write_number;
float total_write_number;
DecodeFloats(data, offset3+2*offset1+11, &total_write_number, 1);
meta.total_write_number = (int)total_write_number;
// count epochs according to counters
static int cur_epoch = -1;
if(meta.write_number == 0){
cur_epoch++;
}
meta.epoch = cur_epoch;
if(meta.write_number % 1000 == 0){
LOG(INFO) << "dataset: " << meta.dataset <<"; img_size: " << meta.img_size
<< "; meta.annolist_index: " << meta.annolist_index << "; meta.write_number: " << meta.write_number
<< "; meta.total_write_number: " << meta.total_write_number << "; meta.epoch: " << meta.epoch;
}
if(param_.aug_way() == "table" && !is_table_set){
SetAugTable(meta.total_write_number);
is_table_set = true;
}
// ------------------- objpos -----------------------
DecodeFloats(data, offset3+3*offset1, &meta.objpos.x, 1);
DecodeFloats(data, offset3+3*offset1+4, &meta.objpos.y, 1);
meta.objpos -= Point2f(1,1);
// ------------ scale_self, joint_self --------------
DecodeFloats(data, offset3+4*offset1, &meta.scale_self, 1);
meta.joint_self.joints.resize(np_in_lmdb);
meta.joint_self.isVisible.resize(np_in_lmdb);
for(int i=0; i<np_in_lmdb; i++){
DecodeFloats(data, offset3+5*offset1+4*i, &meta.joint_self.joints[i].x, 1);
DecodeFloats(data, offset3+6*offset1+4*i, &meta.joint_self.joints[i].y, 1);
meta.joint_self.joints[i] -= Point2f(1,1); //from matlab 1-index to c++ 0-index
float isVisible;
DecodeFloats(data, offset3+7*offset1+4*i, &isVisible, 1);
if (isVisible == 3){
meta.joint_self.isVisible[i] = 3;
}
else{
meta.joint_self.isVisible[i] = (isVisible == 0) ? 0 : 1;
if(meta.joint_self.joints[i].x < 0 || meta.joint_self.joints[i].y < 0 ||
meta.joint_self.joints[i].x >= meta.img_size.width || meta.joint_self.joints[i].y >= meta.img_size.height){
meta.joint_self.isVisible[i] = 2; // 2 means cropped, 0 means occluded by still on image
}
}
//LOG(INFO) << meta.joint_self.joints[i].x << " " << meta.joint_self.joints[i].y << " " << meta.joint_self.isVisible[i];
}
//others (7 lines loaded)
meta.objpos_other.resize(meta.numOtherPeople);
meta.scale_other.resize(meta.numOtherPeople);
meta.joint_others.resize(meta.numOtherPeople);
for(int p=0; p<meta.numOtherPeople; p++){
DecodeFloats(data, offset3+(8+p)*offset1, &meta.objpos_other[p].x, 1);
DecodeFloats(data, offset3+(8+p)*offset1+4, &meta.objpos_other[p].y, 1);
meta.objpos_other[p] -= Point2f(1,1);
DecodeFloats(data, offset3+(8+meta.numOtherPeople)*offset1+4*p, &meta.scale_other[p], 1);
}
//8 + numOtherPeople lines loaded
for(int p=0; p<meta.numOtherPeople; p++){
meta.joint_others[p].joints.resize(np_in_lmdb);
meta.joint_others[p].isVisible.resize(np_in_lmdb);
for(int i=0; i<np_in_lmdb; i++){
DecodeFloats(data, offset3+(9+meta.numOtherPeople+3*p)*offset1+4*i, &meta.joint_others[p].joints[i].x, 1);
DecodeFloats(data, offset3+(9+meta.numOtherPeople+3*p+1)*offset1+4*i, &meta.joint_others[p].joints[i].y, 1);
meta.joint_others[p].joints[i] -= Point2f(1,1);
float isVisible;
DecodeFloats(data, offset3+(9+meta.numOtherPeople+3*p+2)*offset1+4*i, &isVisible, 1);
meta.joint_others[p].isVisible[i] = (isVisible == 0) ? 0 : 1;
if(meta.joint_others[p].joints[i].x < 0 || meta.joint_others[p].joints[i].y < 0 ||
meta.joint_others[p].joints[i].x >= meta.img_size.width || meta.joint_others[p].joints[i].y >= meta.img_size.height){
meta.joint_others[p].isVisible[i] = 2; // 2 means cropped, 1 means occluded by still on image
}
}
}
}
template<typename Dtype>
void CPMDataTransformer<Dtype>::SetAugTable(int numData){
aug_degs.resize(numData);
aug_flips.resize(numData);
for(int i = 0; i < numData; i++){
aug_degs[i].resize(param_.num_total_augs());
aug_flips[i].resize(param_.num_total_augs());
}
//load table files
char filename[100];
sprintf(filename, "../../rotate_%d_%d.txt", param_.num_total_augs(), numData);
ifstream rot_file(filename);
char filename2[100];
sprintf(filename2, "../../flip_%d_%d.txt", param_.num_total_augs(), numData);
ifstream flip_file(filename2);
for(int i = 0; i < numData; i++){
for(int j = 0; j < param_.num_total_augs(); j++){
rot_file >> aug_degs[i][j];
flip_file >> aug_flips[i][j];
}
}
// for(int i = 0; i < numData; i++){
// for(int j = 0; j < param_.num_total_augs(); j++){
// printf("%d ", (int)aug_degs[i][j]);
// }
// printf("\n");
// }
}
template<typename Dtype>
void CPMDataTransformer<Dtype>::TransformMetaJoints(MetaData& meta) {
//transform joints in meta from np_in_lmdb (specified in prototxt) to np (specified in prototxt)
TransformJoints(meta.joint_self);
for(int i=0;i<meta.joint_others.size();i++){
TransformJoints(meta.joint_others[i]);
}
}
template<typename Dtype>
void CPMDataTransformer<Dtype>::TransformJoints(Joints& j) {
//transform joints in meta from np_in_lmdb (specified in prototxt) to np (specified in prototxt)
Joints jo = j;
if(np == 56){
int COCO_to_ours_1[18] = {1,6, 7,9,11, 6,8,10, 13,15,17, 12,14,16, 3,2,5,4};
int COCO_to_ours_2[18] = {1,7, 7,9,11, 6,8,10, 13,15,17, 12,14,16, 3,2,5,4};
jo.joints.resize(np);
jo.isVisible.resize(np);
for(int i=0;i<18;i++){
jo.joints[i] = (j.joints[COCO_to_ours_1[i]-1] + j.joints[COCO_to_ours_2[i]-1]) * 0.5;
if(j.isVisible[COCO_to_ours_1[i]-1]==2 || j.isVisible[COCO_to_ours_2[i]-1]==2){
jo.isVisible[i] = 2;
}
else if(j.isVisible[COCO_to_ours_1[i]-1]==3 || j.isVisible[COCO_to_ours_2[i]-1]==3){
jo.isVisible[i] = 3;
}
else {
jo.isVisible[i] = j.isVisible[COCO_to_ours_1[i]-1] && j.isVisible[COCO_to_ours_2[i]-1];
}
}
}
else if(np == 43){
int MPI_to_ours_1[15] = {9, 8,12,11,10,13,14,15, 2, 1, 0, 3, 4, 5, 7};
int MPI_to_ours_2[15] = {9, 8,12,11,10,13,14,15, 2, 1, 0, 3, 4, 5, 6};
jo.joints.resize(np);
jo.isVisible.resize(np);
for(int i=0;i<15;i++){
jo.joints[i] = (j.joints[MPI_to_ours_1[i]] + j.joints[MPI_to_ours_2[i]]) * 0.5;
if(j.isVisible[MPI_to_ours_1[i]]==2 || j.isVisible[MPI_to_ours_2[i]]==2){
jo.isVisible[i] = 2;
}
else {
jo.isVisible[i] = j.isVisible[MPI_to_ours_1[i]] && j.isVisible[MPI_to_ours_2[i]];
}
}
}
j = jo;
}
template<typename Dtype> CPMDataTransformer<Dtype>::CPMDataTransformer(const CPMTransformationParameter& param, Phase phase) : param_(param), phase_(phase) {
// check if we want to use mean_file
if (param_.has_mean_file()) {
CHECK_EQ(param_.mean_value_size(), 0) <<
"Cannot specify mean_file and mean_value at the same time";
const string& mean_file = param.mean_file();
if (Caffe::root_solver()) {
LOG(INFO) << "Loading mean file from: " << mean_file;
}
BlobProto blob_proto;
ReadProtoFromBinaryFileOrDie(mean_file.c_str(), &blob_proto);
data_mean_.FromProto(blob_proto);
}
// check if we want to use mean_value
if (param_.mean_value_size() > 0) {
CHECK(param_.has_mean_file() == false) <<
"Cannot specify mean_file and mean_value at the same time";
for (int c = 0; c < param_.mean_value_size(); ++c) {
mean_values_.push_back(param_.mean_value(c));
}
}
LOG(INFO) << "CPMDataTransformer constructor done.";
np_in_lmdb = param_.np_in_lmdb();
np = param_.num_parts();
is_table_set = false;
}
template<typename Dtype> void CPMDataTransformer<Dtype>::Transform(const Datum& datum, Dtype* transformed_data) {
//LOG(INFO) << "Function 1 is used";
const string& data = datum.data();
const int datum_channels = datum.channels();
const int datum_height = datum.height();
const int datum_width = datum.width();
const int crop_size = param_.crop_size();
const Dtype scale = param_.scale();
const bool do_mirror = param_.mirror() && Rand(2);
const bool has_mean_file = param_.has_mean_file();
const bool has_uint8 = data.size() > 0;
const bool has_mean_values = mean_values_.size() > 0;
CHECK_GT(datum_channels, 0);
CHECK_GE(datum_height, crop_size);
CHECK_GE(datum_width, crop_size);
Dtype* mean = NULL;
if (has_mean_file) {
CHECK_EQ(datum_channels, data_mean_.channels());
CHECK_EQ(datum_height, data_mean_.height());
CHECK_EQ(datum_width, data_mean_.width());
mean = data_mean_.mutable_cpu_data();
}
if (has_mean_values) {
CHECK(mean_values_.size() == 1 || mean_values_.size() == datum_channels) <<
"Specify either 1 mean_value or as many as channels: " << datum_channels;
if (datum_channels > 1 && mean_values_.size() == 1) {
// Replicate the mean_value for simplicity
for (int c = 1; c < datum_channels; ++c) {
mean_values_.push_back(mean_values_[0]);
}
}
}
int height = datum_height;
int width = datum_width;
int h_off = 0;
int w_off = 0;
if (crop_size) {
height = crop_size;
width = crop_size;
// We only do random crop when we do training.
if (phase_ == TRAIN) {
h_off = Rand(datum_height - crop_size + 1);
w_off = Rand(datum_width - crop_size + 1);
} else {
h_off = (datum_height - crop_size) / 2;
w_off = (datum_width - crop_size) / 2;
}
}
Dtype datum_element;
int top_index, data_index;
for (int c = 0; c < datum_channels; ++c) {
for (int h = 0; h < height; ++h) {
for (int w = 0; w < width; ++w) {
data_index = (c * datum_height + h_off + h) * datum_width + w_off + w;
if (do_mirror) {
top_index = (c * height + h) * width + (width - 1 - w);
} else {
top_index = (c * height + h) * width + w;
}
if (has_uint8) {
datum_element =
static_cast<Dtype>(static_cast<uint8_t>(data[data_index]));
} else {
datum_element = datum.float_data(data_index);
}
if (has_mean_file) {
transformed_data[top_index] =
(datum_element - mean[data_index]) * scale;
} else {
if (has_mean_values) {
transformed_data[top_index] =
(datum_element - mean_values_[c]) * scale;
} else {
transformed_data[top_index] = datum_element * scale;
}
}
}
}
}
}
template<typename Dtype> void CPMDataTransformer<Dtype>::Transform(const Datum& datum, Blob<Dtype>* transformed_blob) {
const int datum_channels = datum.channels();
const int datum_height = datum.height();
const int datum_width = datum.width();
const int channels = transformed_blob->channels();
const int height = transformed_blob->height();
const int width = transformed_blob->width();
const int num = transformed_blob->num();
CHECK_EQ(channels, datum_channels);
CHECK_LE(height, datum_height);
CHECK_LE(width, datum_width);
CHECK_GE(num, 1);
const int crop_size = param_.crop_size();
if (crop_size) {
CHECK_EQ(crop_size, height);
CHECK_EQ(crop_size, width);
} else {
CHECK_EQ(datum_height, height);
CHECK_EQ(datum_width, width);
}
Dtype* transformed_data = transformed_blob->mutable_cpu_data();
Transform(datum, transformed_data);
}
template<typename Dtype> void CPMDataTransformer<Dtype>::Transform_nv(const Datum& datum, Blob<Dtype>* transformed_data, Blob<Dtype>* transformed_label, int cnt) {
//std::cout << "Function 2 is used"; std::cout.flush();
const int datum_channels = datum.channels();
//const int datum_height = datum.height();
//const int datum_width = datum.width();
const int im_channels = transformed_data->channels();
//const int im_height = transformed_data->height();
//const int im_width = transformed_data->width();
const int im_num = transformed_data->num();
//const int lb_channels = transformed_label->channels();
//const int lb_height = transformed_label->height();
//const int lb_width = transformed_label->width();
const int lb_num = transformed_label->num();
//LOG(INFO) << "image shape: " << transformed_data->num() << " " << transformed_data->channels() << " "
// << transformed_data->height() << " " << transformed_data->width();
//LOG(INFO) << "label shape: " << transformed_label->num() << " " << transformed_label->channels() << " "
// << transformed_label->height() << " " << transformed_label->width();
CHECK_EQ(datum_channels, 6);
CHECK_EQ(im_channels, 6);
///CHECK_EQ(im_channels, 4);
//CHECK_EQ(datum_channels, 4);
CHECK_EQ(im_num, lb_num);
//CHECK_LE(im_height, datum_height);
//CHECK_LE(im_width, datum_width);
CHECK_GE(im_num, 1);
//const int crop_size = param_.crop_size();
// if (crop_size) {
// CHECK_EQ(crop_size, im_height);
// CHECK_EQ(crop_size, im_width);
// } else {
// CHECK_EQ(datum_height, im_height);
// CHECK_EQ(datum_width, im_width);
// }
Dtype* transformed_data_pointer = transformed_data->mutable_cpu_data();
Dtype* transformed_label_pointer = transformed_label->mutable_cpu_data();
CPUTimer timer;
timer.Start();
Transform_nv(datum, transformed_data_pointer, transformed_label_pointer, cnt); //call function 1
VLOG(2) << "Transform_nv: " << timer.MicroSeconds() / 1000.0 << " ms";
}
template<typename Dtype> void CPMDataTransformer<Dtype>::Transform_nv(const Datum& datum, Dtype* transformed_data, Dtype* transformed_label, int cnt) {
//TODO: some parameter should be set in prototxt
int clahe_tileSize = param_.clahe_tile_size();
int clahe_clipLimit = param_.clahe_clip_limit();
//float targetDist = 41.0/35.0;
AugmentSelection as = {
false,
0.0,
Size(),
0,
};
MetaData meta;
const string& data = datum.data();
const int datum_channels = datum.channels();
const int datum_height = datum.height();
const int datum_width = datum.width();
// To do: make this a parameter in caffe.proto
//const int mode = 5; //related to datum.channels();
const int mode = 5;
//const int crop_size = param_.crop_size();
//const Dtype scale = param_.scale();
//const bool do_mirror = param_.mirror() && Rand(2);
//const bool has_mean_file = param_.has_mean_file();
const bool has_uint8 = data.size() > 0;
//const bool has_mean_values = mean_values_.size() > 0;
int crop_x = param_.crop_size_x();
int crop_y = param_.crop_size_y();
CHECK_GT(datum_channels, 0);
//CHECK_GE(datum_height, crop_size);
//CHECK_GE(datum_width, crop_size);
CPUTimer timer1;
timer1.Start();
//before any transformation, get the image from datum
Mat img = Mat::zeros(datum_height, datum_width, CV_8UC3);
Mat mask_all, mask_miss;
if(mode >= 5){
mask_miss = Mat::ones(datum_height, datum_width, CV_8UC1);
}
if(mode == 6){
mask_all = Mat::zeros(datum_height, datum_width, CV_8UC1);
}
int offset = img.rows * img.cols;
int dindex;
Dtype d_element;
for (int i = 0; i < img.rows; ++i) {
for (int j = 0; j < img.cols; ++j) {
Vec3b& rgb = img.at<Vec3b>(i, j);
for(int c = 0; c < 3; c++){
dindex = c*offset + i*img.cols + j;
if (has_uint8)
d_element = static_cast<Dtype>(static_cast<uint8_t>(data[dindex]));
else
d_element = datum.float_data(dindex);
rgb[c] = d_element;
}
if(mode >= 5){
dindex = 4*offset + i*img.cols + j;
if (has_uint8)
d_element = static_cast<Dtype>(static_cast<uint8_t>(data[dindex]));
else
d_element = datum.float_data(dindex);
if (round(d_element/255)!=1 && round(d_element/255)!=0){
cout << d_element << " " << round(d_element/255) << endl;
}
mask_miss.at<uchar>(i, j) = d_element; //round(d_element/255);
}
if(mode == 6){
dindex = 5*offset + i*img.cols + j;
if (has_uint8)
d_element = static_cast<Dtype>(static_cast<uint8_t>(data[dindex]));
else
d_element = datum.float_data(dindex);
mask_all.at<uchar>(i, j) = d_element;
}
}
}
VLOG(2) << " rgb[:] = datum: " << timer1.MicroSeconds()/1000.0 << " ms";
timer1.Start();
//color, contract
if(param_.do_clahe())
clahe(img, clahe_tileSize, clahe_clipLimit);
if(param_.gray() == 1){
cv::cvtColor(img, img, CV_BGR2GRAY);
cv::cvtColor(img, img, CV_GRAY2BGR);
}
VLOG(2) << " color: " << timer1.MicroSeconds()/1000.0 << " ms";
timer1.Start();
int offset3 = 3 * offset;
int offset1 = datum_width;
int stride = param_.stride();
ReadMetaData(meta, data, offset3, offset1);
if(param_.transform_body_joint()) // we expect to transform body joints, and not to transform hand joints
TransformMetaJoints(meta);
VLOG(2) << " ReadMeta+MetaJoints: " << timer1.MicroSeconds()/1000.0 << " ms";
timer1.Start();
//visualize original
if(0 && param_.visualize())
visualize(img, meta, as);
//Start transforming
Mat img_aug = Mat::zeros(crop_y, crop_x, CV_8UC3);
Mat mask_miss_aug, mask_all_aug ;
//Mat mask_miss_aug = Mat::zeros(crop_y, crop_x, CV_8UC1);
//Mat mask_all_aug = Mat::zeros(crop_y, crop_x, CV_8UC1);
Mat img_temp, img_temp2, img_temp3; //size determined by scale
VLOG(2) << " input size (" << img.cols << ", " << img.rows << ")";
// We only do random transform as augmentation when training.
if (phase_ == TRAIN) {
as.scale = augmentation_scale(img, img_temp, mask_miss, mask_all, meta, mode);
//LOG(INFO) << meta.joint_self.joints.size();
//LOG(INFO) << meta.joint_self.joints[0];
as.degree = augmentation_rotate(img_temp, img_temp2, mask_miss, mask_all, meta, mode);
//LOG(INFO) << meta.joint_self.joints.size();
//LOG(INFO) << meta.joint_self.joints[0];
if(0 && param_.visualize())
visualize(img_temp2, meta, as);
as.crop = augmentation_croppad(img_temp2, img_temp3, mask_miss, mask_miss_aug, mask_all, mask_all_aug, meta, mode);
//LOG(INFO) << meta.joint_self.joints.size();
//LOG(INFO) << meta.joint_self.joints[0];
if(0 && param_.visualize())
visualize(img_temp3, meta, as);
as.flip = augmentation_flip(img_temp3, img_aug, mask_miss_aug, mask_all_aug, meta, mode);
//LOG(INFO) << meta.joint_self.joints.size();
//LOG(INFO) << meta.joint_self.joints[0];
if(param_.visualize())
visualize(img_aug, meta, as);
// imshow("img_aug", img_aug);
// Mat label_map = mask_miss_aug;
// applyColorMap(label_map, label_map, COLORMAP_JET);
// addWeighted(label_map, 0.5, img_aug, 0.5, 0.0, label_map);
// imshow("mask_miss_aug", label_map);
if (mode > 4){
resize(mask_miss_aug, mask_miss_aug, Size(), 1.0/stride, 1.0/stride, INTER_CUBIC);
}
if (mode > 5){
resize(mask_all_aug, mask_all_aug, Size(), 1.0/stride, 1.0/stride, INTER_CUBIC);
}
}
else {
img_aug = img.clone();
as.scale = 1;
as.crop = Size();
as.flip = 0;
as.degree = 0;
}
VLOG(2) << " Aug: " << timer1.MicroSeconds()/1000.0 << " ms";
timer1.Start();
//LOG(INFO) << "scale: " << as.scale << "; crop:(" << as.crop.width << "," << as.crop.height
// << "); flip:" << as.flip << "; degree: " << as.degree;
//copy transformed img (img_aug) into transformed_data, do the mean-subtraction here
offset = img_aug.rows * img_aug.cols;
int rezX = img_aug.cols;
int rezY = img_aug.rows;
int grid_x = rezX / stride;
int grid_y = rezY / stride;
int channelOffset = grid_y * grid_x;
for (int i = 0; i < img_aug.rows; ++i) {
for (int j = 0; j < img_aug.cols; ++j) {
Vec3b& rgb = img_aug.at<Vec3b>(i, j);
transformed_data[0*offset + i*img_aug.cols + j] = (rgb[0] - 128)/256.0;
transformed_data[1*offset + i*img_aug.cols + j] = (rgb[1] - 128)/256.0;
transformed_data[2*offset + i*img_aug.cols + j] = (rgb[2] - 128)/256.0;
}
}
// label size is image size/ stride
if (mode > 4){
for (int g_y = 0; g_y < grid_y; g_y++){
for (int g_x = 0; g_x < grid_x; g_x++){
for (int i = 0; i < np; i++){
float weight = float(mask_miss_aug.at<uchar>(g_y, g_x)) /255; //mask_miss_aug.at<uchar>(i, j);
if (meta.joint_self.isVisible[i] != 3){
transformed_label[i*channelOffset + g_y*grid_x + g_x] = weight;
}
}
// background channel
if(mode == 5){
transformed_label[np*channelOffset + g_y*grid_x + g_x] = float(mask_miss_aug.at<uchar>(g_y, g_x)) /255;
}
if(mode > 5){
transformed_label[np*channelOffset + g_y*grid_x + g_x] = 1;
transformed_label[(2*np+1)*channelOffset + g_y*grid_x + g_x] = float(mask_all_aug.at<uchar>(g_y, g_x)) /255;
}
}
}
}
//putGaussianMaps(transformed_data + 3*offset, meta.objpos, 1, img_aug.cols, img_aug.rows, param_.sigma_center());
//LOG(INFO) << "image transformation done!";
generateLabelMap(transformed_label, img_aug, meta);
VLOG(2) << " putGauss+genLabel: " << timer1.MicroSeconds()/1000.0 << " ms";
//starts to visualize everything (transformed_data in 4 ch, label) fed into conv1
//if(param_.visualize()){
//dumpEverything(transformed_data, transformed_label, meta);
//}
}
// include mask_miss
template<typename Dtype>
float CPMDataTransformer<Dtype>::augmentation_scale(Mat& img_src, Mat& img_temp, Mat& mask_miss, Mat& mask_all, MetaData& meta, int mode) {
float dice = static_cast <float> (rand()) / static_cast <float> (RAND_MAX); //[0,1]
float scale_multiplier;
//float scale = (param_.scale_max() - param_.scale_min()) * dice + param_.scale_min(); //linear shear into [scale_min, scale_max]
if(dice > param_.scale_prob()) {
img_temp = img_src.clone();
scale_multiplier = 1;
}
else {
float dice2 = static_cast <float> (rand()) / static_cast <float> (RAND_MAX); //[0,1]
scale_multiplier = (param_.scale_max() - param_.scale_min()) * dice2 + param_.scale_min(); //linear shear into [scale_min, scale_max]
}
float scale_abs = param_.target_dist()/meta.scale_self;
float scale = scale_abs * scale_multiplier;
resize(img_src, img_temp, Size(), scale, scale, INTER_CUBIC);
if(mode>4){
resize(mask_miss, mask_miss, Size(), scale, scale, INTER_CUBIC);
}
if(mode>5){
resize(mask_all, mask_all, Size(), scale, scale, INTER_CUBIC);
}
//modify meta data
meta.objpos *= scale;
for(int i=0; i<np; i++){
meta.joint_self.joints[i] *= scale;
}
for(int p=0; p<meta.numOtherPeople; p++){
meta.objpos_other[p] *= scale;
for(int i=0; i<np; i++){
meta.joint_others[p].joints[i] *= scale;
}
}
return scale_multiplier;
}
template<typename Dtype>
Size CPMDataTransformer<Dtype>::augmentation_croppad(Mat& img_src, Mat& img_dst, Mat& mask_miss, Mat& mask_miss_aug, Mat& mask_all, Mat& mask_all_aug, MetaData& meta, int mode) {
float dice_x = static_cast <float> (rand()) / static_cast <float> (RAND_MAX); //[0,1]
float dice_y = static_cast <float> (rand()) / static_cast <float> (RAND_MAX); //[0,1]
int crop_x = param_.crop_size_x();
int crop_y = param_.crop_size_y();
float x_offset = int((dice_x - 0.5) * 2 * param_.center_perterb_max());
float y_offset = int((dice_y - 0.5) * 2 * param_.center_perterb_max());
//LOG(INFO) << "Size of img_temp is " << img_temp.cols << " " << img_temp.rows;
//LOG(INFO) << "ROI is " << x_offset << " " << y_offset << " " << min(800, img_temp.cols) << " " << min(256, img_temp.rows);
Point2i center = meta.objpos + Point2f(x_offset, y_offset);
int offset_left = -(center.x - (crop_x/2));
int offset_up = -(center.y - (crop_y/2));
// int to_pad_right = max(center.x + (crop_x - crop_x/2) - img_src.cols, 0);
// int to_pad_down = max(center.y + (crop_y - crop_y/2) - img_src.rows, 0);
img_dst = Mat::zeros(crop_y, crop_x, CV_8UC3) + Scalar(128,128,128);
mask_miss_aug = Mat::zeros(crop_y, crop_x, CV_8UC1) + Scalar(255); //for MPI, COCO with Scalar(255);
mask_all_aug = Mat::zeros(crop_y, crop_x, CV_8UC1);
for(int i=0;i<crop_y;i++){
for(int j=0;j<crop_x;j++){ //i,j on cropped
int coord_x_on_img = center.x - crop_x/2 + j;
int coord_y_on_img = center.y - crop_y/2 + i;
if(onPlane(Point(coord_x_on_img, coord_y_on_img), Size(img_src.cols, img_src.rows))){
img_dst.at<Vec3b>(i,j) = img_src.at<Vec3b>(coord_y_on_img, coord_x_on_img);
if(mode>4){
mask_miss_aug.at<uchar>(i,j) = mask_miss.at<uchar>(coord_y_on_img, coord_x_on_img);
}
if(mode>5){
mask_all_aug.at<uchar>(i,j) = mask_all.at<uchar>(coord_y_on_img, coord_x_on_img);
}
}
}
}
//modify meta data
Point2f offset(offset_left, offset_up);
meta.objpos += offset;
for(int i=0; i<np; i++){
meta.joint_self.joints[i] += offset;
}
for(int p=0; p<meta.numOtherPeople; p++){
meta.objpos_other[p] += offset;
for(int i=0; i<np; i++){
meta.joint_others[p].joints[i] += offset;
}
}
return Size(x_offset, y_offset);
}
template<typename Dtype>
bool CPMDataTransformer<Dtype>::augmentation_flip(Mat& img_src, Mat& img_aug, Mat& mask_miss, Mat& mask_all, MetaData& meta, int mode) {
bool doflip;
if(param_.aug_way() == "rand"){
float dice = static_cast <float> (rand()) / static_cast <float> (RAND_MAX);
doflip = (dice <= param_.flip_prob());
}
else if(param_.aug_way() == "table"){
doflip = (aug_flips[meta.write_number][meta.epoch % param_.num_total_augs()] == 1);
}
else {
doflip = 0;
LOG(INFO) << "Unhandled exception!!!!!!";
}
if(doflip){
flip(img_src, img_aug, 1);
int w = img_src.cols;
if(mode>4){
flip(mask_miss, mask_miss, 1);
}
if(mode>5){
flip(mask_all, mask_all, 1);
}
meta.objpos.x = w - 1 - meta.objpos.x;
for(int i=0; i<np; i++){
meta.joint_self.joints[i].x = w - 1 - meta.joint_self.joints[i].x;
}
if(param_.transform_body_joint())
swapLeftRight(meta.joint_self);
for(int p=0; p<meta.numOtherPeople; p++){
meta.objpos_other[p].x = w - 1 - meta.objpos_other[p].x;
for(int i=0; i<np; i++){
meta.joint_others[p].joints[i].x = w - 1 - meta.joint_others[p].joints[i].x;
}
if(param_.transform_body_joint())
swapLeftRight(meta.joint_others[p]);
}
}
else {
img_aug = img_src.clone();
}
return doflip;
}
template<typename Dtype>
float CPMDataTransformer<Dtype>::augmentation_rotate(Mat& img_src, Mat& img_dst, Mat& mask_miss, Mat& mask_all, MetaData& meta, int mode) {
float degree;
if(param_.aug_way() == "rand"){
float dice = static_cast <float> (rand()) / static_cast <float> (RAND_MAX);
degree = (dice - 0.5) * 2 * param_.max_rotate_degree();
}
else if(param_.aug_way() == "table"){
degree = aug_degs[meta.write_number][meta.epoch % param_.num_total_augs()];
}
else {
degree = 0;
LOG(INFO) << "Unhandled exception!!!!!!";
}
Point2f center(img_src.cols/2.0, img_src.rows/2.0);
Mat R = getRotationMatrix2D(center, degree, 1.0);
Rect bbox = RotatedRect(center, img_src.size(), degree).boundingRect();
// adjust transformation matrix
R.at<double>(0,2) += bbox.width/2.0 - center.x;
R.at<double>(1,2) += bbox.height/2.0 - center.y;
//LOG(INFO) << "R=[" << R.at<double>(0,0) << " " << R.at<double>(0,1) << " " << R.at<double>(0,2) << ";"
// << R.at<double>(1,0) << " " << R.at<double>(1,1) << " " << R.at<double>(1,2) << "]";
warpAffine(img_src, img_dst, R, bbox.size(), INTER_CUBIC, BORDER_CONSTANT, Scalar(128,128,128));
if(mode >4){
warpAffine(mask_miss, mask_miss, R, bbox.size(), INTER_CUBIC, BORDER_CONSTANT, Scalar(255)); //Scalar(0) for MPI, COCO with Scalar(255);
}
if(mode >5){
warpAffine(mask_all, mask_all, R, bbox.size(), INTER_CUBIC, BORDER_CONSTANT, Scalar(0));
}
//adjust meta data
RotatePoint(meta.objpos, R);
for(int i=0; i<np; i++){
RotatePoint(meta.joint_self.joints[i], R);
}
for(int p=0; p<meta.numOtherPeople; p++){
RotatePoint(meta.objpos_other[p], R);
for(int i=0; i<np; i++){
RotatePoint(meta.joint_others[p].joints[i], R);
}
}
return degree;
}
// end here
template<typename Dtype>
float CPMDataTransformer<Dtype>::augmentation_scale(Mat& img_src, Mat& img_temp, MetaData& meta) {
float dice = static_cast <float> (rand()) / static_cast <float> (RAND_MAX); //[0,1]
float scale_multiplier;
//float scale = (param_.scale_max() - param_.scale_min()) * dice + param_.scale_min(); //linear shear into [scale_min, scale_max]
if(dice > param_.scale_prob()) {
img_temp = img_src.clone();
scale_multiplier = 1;
}
else {
float dice2 = static_cast <float> (rand()) / static_cast <float> (RAND_MAX); //[0,1]
scale_multiplier = (param_.scale_max() - param_.scale_min()) * dice2 + param_.scale_min(); //linear shear into [scale_min, scale_max]
}
float scale_abs = param_.target_dist()/meta.scale_self;
float scale = scale_abs * scale_multiplier;
resize(img_src, img_temp, Size(), scale, scale, INTER_CUBIC);
//modify meta data
meta.objpos *= scale;
for(int i=0; i<np; i++){
meta.joint_self.joints[i] *= scale;
}
for(int p=0; p<meta.numOtherPeople; p++){
meta.objpos_other[p] *= scale;
for(int i=0; i<np; i++){
meta.joint_others[p].joints[i] *= scale;
}
}
return scale_multiplier;
}
template<typename Dtype>
bool CPMDataTransformer<Dtype>::onPlane(Point p, Size img_size) {
if(p.x < 0 || p.y < 0) return false;
if(p.x >= img_size.width || p.y >= img_size.height) return false;
return true;
}
template<typename Dtype>
Size CPMDataTransformer<Dtype>::augmentation_croppad(Mat& img_src, Mat& img_dst, MetaData& meta) {
float dice_x = static_cast <float> (rand()) / static_cast <float> (RAND_MAX); //[0,1]
float dice_y = static_cast <float> (rand()) / static_cast <float> (RAND_MAX); //[0,1]
int crop_x = param_.crop_size_x();
int crop_y = param_.crop_size_y();
float x_offset = int((dice_x - 0.5) * 2 * param_.center_perterb_max());
float y_offset = int((dice_y - 0.5) * 2 * param_.center_perterb_max());
//LOG(INFO) << "Size of img_temp is " << img_temp.cols << " " << img_temp.rows;
//LOG(INFO) << "ROI is " << x_offset << " " << y_offset << " " << min(800, img_temp.cols) << " " << min(256, img_temp.rows);
Point2i center = meta.objpos + Point2f(x_offset, y_offset);
int offset_left = -(center.x - (crop_x/2));
int offset_up = -(center.y - (crop_y/2));
// int to_pad_right = max(center.x + (crop_x - crop_x/2) - img_src.cols, 0);
// int to_pad_down = max(center.y + (crop_y - crop_y/2) - img_src.rows, 0);
img_dst = Mat::zeros(crop_y, crop_x, CV_8UC3) + Scalar(128,128,128);
for(int i=0;i<crop_y;i++){
for(int j=0;j<crop_x;j++){ //i,j on cropped
int coord_x_on_img = center.x - crop_x/2 + j;
int coord_y_on_img = center.y - crop_y/2 + i;
if(onPlane(Point(coord_x_on_img, coord_y_on_img), Size(img_src.cols, img_src.rows))){
img_dst.at<Vec3b>(i,j) = img_src.at<Vec3b>(coord_y_on_img, coord_x_on_img);
}
}
}
//modify meta data
Point2f offset(offset_left, offset_up);
meta.objpos += offset;
for(int i=0; i<np; i++){
meta.joint_self.joints[i] += offset;
}
for(int p=0; p<meta.numOtherPeople; p++){
meta.objpos_other[p] += offset;
for(int i=0; i<np; i++){
meta.joint_others[p].joints[i] += offset;
}
}
return Size(x_offset, y_offset);
}
template<typename Dtype>
void CPMDataTransformer<Dtype>::swapLeftRight(Joints& j) {
if(np == 56){
int right[8] = {3,4,5, 9,10,11,15,17};
int left[8] = {6,7,8,12,13,14,16,18};
for(int i=0; i<8; i++){
int ri = right[i] - 1;
int li = left[i] - 1;
Point2f temp = j.joints[ri];
j.joints[ri] = j.joints[li];
j.joints[li] = temp;
int temp_v = j.isVisible[ri];
j.isVisible[ri] = j.isVisible[li];
j.isVisible[li] = temp_v;
}
}
else if(np == 43){
int right[6] = {3,4,5,9,10,11};
int left[6] = {6,7,8,12,13,14};
for(int i=0; i<6; i++){
int ri = right[i] - 1;
int li = left[i] - 1;
Point2f temp = j.joints[ri];
j.joints[ri] = j.joints[li];
j.joints[li] = temp;
int temp_v = j.isVisible[ri];
j.isVisible[ri] = j.isVisible[li];
j.isVisible[li] = temp_v;
}
}
}
template<typename Dtype>
bool CPMDataTransformer<Dtype>::augmentation_flip(Mat& img_src, Mat& img_aug, MetaData& meta) {
bool doflip;
if(param_.aug_way() == "rand"){
float dice = static_cast <float> (rand()) / static_cast <float> (RAND_MAX);
doflip = (dice <= param_.flip_prob());
}
else if(param_.aug_way() == "table"){
doflip = (aug_flips[meta.write_number][meta.epoch % param_.num_total_augs()] == 1);
}
else {
doflip = 0;
LOG(ERROR) << "Unhandled exception!!!!!!";
}
if(doflip){
flip(img_src, img_aug, 1);
int w = img_src.cols;
meta.objpos.x = w - 1 - meta.objpos.x;
for(int i=0; i<np; i++){
meta.joint_self.joints[i].x = w - 1 - meta.joint_self.joints[i].x;
}
if(param_.transform_body_joint())
swapLeftRight(meta.joint_self);
for(int p=0; p<meta.numOtherPeople; p++){
meta.objpos_other[p].x = w - 1 - meta.objpos_other[p].x;
for(int i=0; i<np; i++){
meta.joint_others[p].joints[i].x = w - 1 - meta.joint_others[p].joints[i].x;
}
if(param_.transform_body_joint())
swapLeftRight(meta.joint_others[p]);
}
}
else {
img_aug = img_src.clone();
}
return doflip;
}
template<typename Dtype>
void CPMDataTransformer<Dtype>::RotatePoint(Point2f& p, Mat R){
Mat point(3,1,CV_64FC1);
point.at<double>(0,0) = p.x;
point.at<double>(1,0) = p.y;
point.at<double>(2,0) = 1;
Mat new_point = R * point;
p.x = new_point.at<double>(0,0);
p.y = new_point.at<double>(1,0);
}
template<typename Dtype>
float CPMDataTransformer<Dtype>::augmentation_rotate(Mat& img_src, Mat& img_dst, MetaData& meta) {
float degree;
if(param_.aug_way() == "rand"){
float dice = static_cast <float> (rand()) / static_cast <float> (RAND_MAX);
degree = (dice - 0.5) * 2 * param_.max_rotate_degree();
}
else if(param_.aug_way() == "table"){
degree = aug_degs[meta.write_number][meta.epoch % param_.num_total_augs()];
}
else {
degree = 0;
LOG(INFO) << "Unhandled exception!!!!!!";
}
Point2f center(img_src.cols/2.0, img_src.rows/2.0);
Mat R = getRotationMatrix2D(center, degree, 1.0);
Rect bbox = RotatedRect(center, img_src.size(), degree).boundingRect();
// adjust transformation matrix
R.at<double>(0,2) += bbox.width/2.0 - center.x;