mirror of
https://github.com/jomjol/AI-on-the-edge-device.git
synced 2025-12-07 12:06:58 +03:00
211 lines
5.7 KiB
C++
211 lines
5.7 KiB
C++
#include "CAlignAndCutImage.h"
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#include "CRotateImage.h"
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#include "ClassLogFile.h"
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#define _USE_MATH_DEFINES
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#include <math.h>
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#include <algorithm>
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#include <esp_log.h>
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static const char* TAG = "c_align_and_cut_image";
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//#define GET_MEMORY malloc
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#define GET_MEMORY(X) heap_caps_malloc(X, MALLOC_CAP_SPIRAM)
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CAlignAndCutImage::CAlignAndCutImage(CImageBasis *_org, CImageBasis *_temp)
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{
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rgb_image = _org->rgb_image;
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channels = _org->channels;
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width = _org->width;
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height = _org->height;
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bpp = _org->bpp;
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externalImage = true;
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islocked = false;
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ImageTMP = _temp;
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}
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void CAlignAndCutImage::GetRefSize(int *ref_dx, int *ref_dy)
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{
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ref_dx[0] = t0_dx;
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ref_dy[0] = t0_dy;
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ref_dx[1] = t1_dx;
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ref_dy[1] = t1_dy;
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}
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bool CAlignAndCutImage::Align(RefInfo *_temp1, RefInfo *_temp2)
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{
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int dx, dy;
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int r0_x, r0_y, r1_x, r1_y;
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bool isSimilar1, isSimilar2;
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CFindTemplate* ft = new CFindTemplate(rgb_image, channels, width, height, bpp);
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r0_x = _temp1->target_x;
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r0_y = _temp1->target_y;
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ESP_LOGD(TAG, "Vor ft->FindTemplate(_temp1); %s", _temp1->image_file.c_str());
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isSimilar1 = ft->FindTemplate(_temp1);
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_temp1->width = ft->tpl_width;
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_temp1->height = ft->tpl_height;
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r1_x = _temp2->target_x;
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r1_y = _temp2->target_y;
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ESP_LOGD(TAG, "Vor ft->FindTemplate(_temp2); %s", _temp2->image_file.c_str());
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isSimilar2 = ft->FindTemplate(_temp2);
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_temp2->width = ft->tpl_width;
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_temp2->height = ft->tpl_height;
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delete ft;
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dx = _temp1->target_x - _temp1->found_x;
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dy = _temp1->target_y - _temp1->found_y;
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r0_x += dx;
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r0_y += dy;
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r1_x += dx;
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r1_y += dy;
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float w_org, w_ist, d_winkel;
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w_org = atan2(_temp2->found_y - _temp1->found_y, _temp2->found_x - _temp1->found_x);
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w_ist = atan2(r1_y - r0_y, r1_x - r0_x);
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d_winkel = (w_ist - w_org) * 180 / M_PI;
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#ifdef DEBUG_DETAIL_ON
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std::string zw = "\tdx:\t" + std::to_string(dx) + "\tdy:\t" + std::to_string(dy) + "\td_winkel:\t" + std::to_string(d_winkel);
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zw = zw + "\tt1_x_y:\t" + std::to_string(_temp1->found_x) + "\t" + std::to_string(_temp1->found_y);
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zw = zw + "\tpara1_found_min_avg_max_SAD:\t" + std::to_string(_temp1->fastalg_min) + "\t" + std::to_string(_temp1->fastalg_avg) + "\t" + std::to_string(_temp1->fastalg_max) + "\t"+ std::to_string(_temp1->fastalg_SAD);
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zw = zw + "\tt2_x_y:\t" + std::to_string(_temp2->found_x) + "\t" + std::to_string(_temp2->found_y);
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zw = zw + "\tpara2_found_min_avg_max:\t" + std::to_string(_temp2->fastalg_min) + "\t" + std::to_string(_temp2->fastalg_avg) + "\t" + std::to_string(_temp2->fastalg_max) + "\t"+ std::to_string(_temp2->fastalg_SAD);
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LogFile.WriteToDedicatedFile("/sdcard/alignment.txt", zw);
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#endif
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CRotateImage rt(this, ImageTMP);
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rt.Translate(dx, dy);
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rt.Rotate(d_winkel, _temp1->target_x, _temp1->target_y);
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ESP_LOGD(TAG, "Alignment: dx %d - dy %d - rot %f", dx, dy, d_winkel);
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return (isSimilar1 && isSimilar2);
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}
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void CAlignAndCutImage::CutAndSave(std::string _template1, int x1, int y1, int dx, int dy)
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{
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int x2, y2;
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x2 = x1 + dx;
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y2 = y1 + dy;
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x2 = std::min(x2, width - 1);
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y2 = std::min(y2, height - 1);
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dx = x2 - x1;
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dy = y2 - y1;
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int memsize = dx * dy * channels;
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uint8_t* odata = (unsigned char*) GET_MEMORY(memsize);
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stbi_uc* p_target;
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stbi_uc* p_source;
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RGBImageLock();
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for (int x = x1; x < x2; ++x)
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for (int y = y1; y < y2; ++y)
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{
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p_target = odata + (channels * ((y - y1) * dx + (x - x1)));
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p_source = rgb_image + (channels * (y * width + x));
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for (int _channels = 0; _channels < channels; ++_channels)
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p_target[_channels] = p_source[_channels];
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}
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// stbi_write_jpg(_template1.c_str(), dx, dy, channels, odata, 0);
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stbi_write_bmp(_template1.c_str(), dx, dy, channels, odata);
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RGBImageRelease();
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stbi_image_free(odata);
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}
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void CAlignAndCutImage::CutAndSave(int x1, int y1, int dx, int dy, CImageBasis *_target)
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{
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int x2, y2;
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x2 = x1 + dx;
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y2 = y1 + dy;
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x2 = std::min(x2, width - 1);
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y2 = std::min(y2, height - 1);
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dx = x2 - x1;
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dy = y2 - y1;
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if ((_target->height != dy) || (_target->width != dx) || (_target->channels != channels))
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{
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ESP_LOGD(TAG, "CAlignAndCutImage::CutAndSave - Image size does not match!");
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return;
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}
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uint8_t* odata = _target->RGBImageLock();
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RGBImageLock();
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stbi_uc* p_target;
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stbi_uc* p_source;
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for (int x = x1; x < x2; ++x)
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for (int y = y1; y < y2; ++y)
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{
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p_target = odata + (channels * ((y - y1) * dx + (x - x1)));
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p_source = rgb_image + (channels * (y * width + x));
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for (int _channels = 0; _channels < channels; ++_channels)
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p_target[_channels] = p_source[_channels];
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}
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RGBImageRelease();
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_target->RGBImageRelease();
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}
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CImageBasis* CAlignAndCutImage::CutAndSave(int x1, int y1, int dx, int dy)
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{
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int x2, y2;
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x2 = x1 + dx;
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y2 = y1 + dy;
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x2 = std::min(x2, width - 1);
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y2 = std::min(y2, height - 1);
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dx = x2 - x1;
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dy = y2 - y1;
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int memsize = dx * dy * channels;
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uint8_t* odata = (unsigned char*)GET_MEMORY(memsize);
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stbi_uc* p_target;
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stbi_uc* p_source;
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RGBImageLock();
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for (int x = x1; x < x2; ++x)
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for (int y = y1; y < y2; ++y)
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{
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p_target = odata + (channels * ((y - y1) * dx + (x - x1)));
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p_source = rgb_image + (channels * (y * width + x));
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for (int _channels = 0; _channels < channels; ++_channels)
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p_target[_channels] = p_source[_channels];
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}
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CImageBasis* rs = new CImageBasis(odata, channels, dx, dy, bpp);
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RGBImageRelease();
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rs->SetIndepended();
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return rs;
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}
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