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Ivan
2022-04-05 11:42:28 +03:00
commit 6dc0eb0fcf
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thirdparty/Pangolin/src/plot/datalog.cpp vendored Normal file
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/* This file is part of the Pangolin Project.
* http://github.com/stevenlovegrove/Pangolin
*
* Copyright (c) 2011 Steven Lovegrove
*
* Permission is hereby granted, free of charge, to any person
* obtaining a copy of this software and associated documentation
* files (the "Software"), to deal in the Software without
* restriction, including without limitation the rights to use,
* copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the
* Software is furnished to do so, subject to the following
* conditions:
*
* The above copyright notice and this permission notice shall be
* included in all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
* OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
* NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
* HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
* WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
* OTHER DEALINGS IN THE SOFTWARE.
*/
#include <pangolin/plot/datalog.h>
#include <algorithm>
#include <fstream>
#include <iomanip>
#include <iostream>
#include <limits>
#include <stdexcept>
namespace pangolin
{
void DataLogBlock::AddSamples(size_t num_samples, size_t dimensions, const float* data_dim_major )
{
if(nextBlock) {
// If next block exists, add to it instead
nextBlock->AddSamples(num_samples, dimensions, data_dim_major);
}else{
if(dimensions > dim) {
// If dimensions is too high for this block, start a new bigger one
nextBlock = std::unique_ptr<DataLogBlock>(new DataLogBlock(dimensions, max_samples, start_id + samples));
nextBlock->AddSamples(num_samples,dimensions,data_dim_major);
}else{
// Try to copy samples to this block
const size_t samples_to_copy = std::min(num_samples, SampleSpaceLeft());
if(dimensions == dim) {
// Copy entire block all together
std::copy(data_dim_major, data_dim_major + samples_to_copy*dim, sample_buffer.get()+samples*dim);
samples += samples_to_copy;
data_dim_major += samples_to_copy*dim;
}else{
// Copy sample at a time, filling with NaN's where needed.
float* dst = sample_buffer.get();
for(size_t i=0; i< samples_to_copy; ++i) {
std::copy(data_dim_major, data_dim_major + dimensions, dst);
for(size_t ii = dimensions; ii < dim; ++ii) {
dst[ii] = std::numeric_limits<float>::quiet_NaN();
}
dst += dimensions;
data_dim_major += dimensions;
}
samples += samples_to_copy;
}
// // Update Stats
// for(size_t s=0; s < samples_to_copy; ++s) {
// for(size_t d = 0; d < dimensions; ++d) {
// stats[d].Add(data_dim_major[s*dim + d]);
// }
// }
// Copy remaining data to next block (this one is full)
if(samples_to_copy < num_samples) {
nextBlock = std::unique_ptr<DataLogBlock>(new DataLogBlock(dim, max_samples, start_id + Samples()));
nextBlock->AddSamples(num_samples-samples_to_copy, dimensions, data_dim_major);
}
}
}
}
DataLog::DataLog(unsigned int buffer_size)
: block_samples_alloc(buffer_size), block0(nullptr), blockn(nullptr), record_stats(true)
{
}
DataLog::~DataLog()
{
Clear();
}
void DataLog::SetLabels(const std::vector<std::string> & new_labels)
{
std::lock_guard<std::mutex> l(access_mutex);
// Create new labels if needed
for( size_t i= labels.size(); i < new_labels.size(); ++i )
labels.push_back( std::string() );
// Add data to existing plots
for( unsigned int i=0; i<labels.size(); ++i )
labels[i] = new_labels[i];
}
const std::vector<std::string>& DataLog::Labels() const
{
return labels;
}
void DataLog::Log(size_t dimension, const float* vals, unsigned int samples )
{
if(!block0) {
// Create first block
block0 = std::unique_ptr<DataLogBlock>(new DataLogBlock(dimension, block_samples_alloc, 0));
blockn = block0.get();
}
if(record_stats) {
while(stats.size() < dimension) {
stats.push_back( DimensionStats() );
}
for(unsigned int d=0; d<dimension; ++d) {
DimensionStats& ds = stats[d];
for(unsigned int s=0; s<samples; ++s) {
ds.Add(vals[s*dimension+d]);
}
}
}
blockn->AddSamples(samples,dimension,vals);
// Update pointer to most recent block.
while(blockn->NextBlock()) {
blockn = blockn->NextBlock();
}
}
void DataLog::Log(float v)
{
const float vs[] = {v};
Log(1,vs);
}
void DataLog::Log(float v1, float v2)
{
const float vs[] = {v1,v2};
Log(2,vs);
}
void DataLog::Log(float v1, float v2, float v3)
{
const float vs[] = {v1,v2,v3};
Log(3,vs);
}
void DataLog::Log(float v1, float v2, float v3, float v4)
{
const float vs[] = {v1,v2,v3,v4};
Log(4,vs);
}
void DataLog::Log(float v1, float v2, float v3, float v4, float v5)
{
const float vs[] = {v1,v2,v3,v4,v5};
Log(5,vs);
}
void DataLog::Log(float v1, float v2, float v3, float v4, float v5, float v6)
{
const float vs[] = {v1,v2,v3,v4,v5,v6};
Log(6,vs);
}
void DataLog::Log(float v1, float v2, float v3, float v4, float v5, float v6, float v7)
{
const float vs[] = {v1,v2,v3,v4,v5,v6,v7};
Log(7,vs);
}
void DataLog::Log(float v1, float v2, float v3, float v4, float v5, float v6, float v7, float v8)
{
const float vs[] = {v1,v2,v3,v4,v5,v6,v7,v8};
Log(8,vs);
}
void DataLog::Log(float v1, float v2, float v3, float v4, float v5, float v6, float v7, float v8, float v9)
{
const float vs[] = {v1,v2,v3,v4,v5,v6,v7,v8,v9};
Log(9,vs);
}
void DataLog::Log(float v1, float v2, float v3, float v4, float v5, float v6, float v7, float v8, float v9, float v10)
{
const float vs[] = {v1,v2,v3,v4,v5,v6,v7,v8,v9,v10};
Log(10,vs);
}
void DataLog::Log(const std::vector<float> & vals)
{
Log(vals.size(), &vals[0]);
}
void DataLog::Clear()
{
std::lock_guard<std::mutex> l(access_mutex);
blockn = nullptr;
block0 = nullptr;
stats.clear();
}
void DataLog::Save(std::string filename)
{
std::ofstream csvStream(filename);
if (!Labels().empty()) {
csvStream << Labels()[0];
for (size_t i = 1; i < Labels().size(); ++i) {
csvStream << "," << Labels()[i];
}
csvStream << std::endl;
}
const DataLogBlock * block = FirstBlock();
while (block) {
for (size_t i = 0; i < block->Samples(); ++i) {
csvStream << block->Sample(i)[0];
for (size_t d = 1; d < block->Dimensions(); ++d) {
csvStream << "," << block->Sample(i)[d];
}
csvStream << std::endl;
}
block = block->NextBlock();
}
}
const DataLogBlock* DataLog::FirstBlock() const
{
return block0.get();
}
const DataLogBlock* DataLog::LastBlock() const
{
return blockn;
}
const DimensionStats& DataLog::Stats(size_t dim) const
{
return stats[dim];
}
size_t DataLog::Samples() const
{
if(blockn) {
return blockn->StartId() + blockn->Samples();
}
return 0;
}
const float* DataLog::Sample(int n) const
{
if(block0) {
return block0->Sample(n);
}else{
return 0;
}
}
}

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thirdparty/Pangolin/src/plot/plotter.cpp vendored Normal file

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