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https://github.com/MaaAssistantArknights/MaaAssistantArknights.git
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refactor: 按照 filters 为 MaaCore 重新建立文件结构
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zzyyyl
343
src/MeoAssistant/ImageAnalyzer/DepotImageAnalyzer.cpp
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343
src/MeoAssistant/ImageAnalyzer/DepotImageAnalyzer.cpp
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#include "DepotImageAnalyzer.h"
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#include "NoWarningCV.h"
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#include "AsstUtils.hpp"
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#include "ItemConfiger.h"
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#include "Logger.hpp"
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#include "MatchImageAnalyzer.h"
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#include "OcrWithPreprocessImageAnalyzer.h"
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#include "TaskData.h"
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bool asst::DepotImageAnalyzer::analyze()
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{
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LogTraceFunction;
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m_all_items_roi.clear();
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m_result.clear();
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// 因为模板素材的尺寸与实际截图中素材尺寸不符，所以这里先对原图进行一下缩放
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resize();
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bool ret = analyze_base_rect();
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if (!ret) {
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return false;
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}
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ret = analyze_all_items();
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#ifdef ASST_DEBUG
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m_image_draw = m_image_draw_resized;
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#endif
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save_img("debug/depot/");
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return ret;
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}
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void asst::DepotImageAnalyzer::set_match_begin_pos(size_t pos) noexcept
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{
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m_match_begin_pos = pos;
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}
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size_t asst::DepotImageAnalyzer::get_match_begin_pos() const noexcept
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{
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return m_match_begin_pos;
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}
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void asst::DepotImageAnalyzer::resize()
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{
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LogTraceFunction;
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m_resized_rect = Task.get("DepotMatchData")->roi;
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cv::Size d_size(m_resized_rect.width, m_resized_rect.height);
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cv::resize(m_image, m_image_resized, d_size, 0, 0, cv::INTER_AREA);
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#ifdef ASST_DEBUG
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cv::resize(m_image_draw, m_image_draw_resized, d_size, 0, 0, cv::INTER_AREA);
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#endif
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}
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bool asst::DepotImageAnalyzer::analyze_base_rect()
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{
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LogTraceFunction;
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Rect base_roi = Task.get("DepotBaseRect")->roi;
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ItemInfo base_item_info;
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size_t pos = match_item(base_roi, base_item_info, 0ULL, false);
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if (pos == NPos) {
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return false;
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}
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const auto& base_rect = base_item_info.rect;
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const auto& [base_x, base_y, base_w, base_h] = base_rect;
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#ifdef ASST_DEBUG
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cv::rectangle(m_image_draw_resized, utils::make_rect<cv::Rect>(base_rect), cv::Scalar(0, 0, 255), 2);
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#endif
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// 每个材料之间有间隔，这里 高度 * 2 的 roi, 一定有一个完整的材料 + 一个不完整的材料。
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// 所以识别结果只会有一个（除非这个间隔非常大）
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const Rect vertical_rect(base_x, base_y + base_h, base_w, base_h * 2);
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ItemInfo vertical_item_info;
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pos = match_item(vertical_rect, vertical_item_info, pos + 1);
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#ifdef ASST_DEBUG
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cv::rectangle(m_image_draw_resized, utils::make_rect<cv::Rect>(vertical_item_info.rect), cv::Scalar(0, 0, 255), 2);
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#endif
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// 宽度 * 2，同上
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const Rect horizontal_roi(base_x + base_w, base_y, base_w * 2, base_h);
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ItemInfo horizontal_item_info;
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pos = match_item(horizontal_roi, horizontal_item_info, pos + 1);
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#ifdef ASST_DEBUG
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cv::rectangle(m_image_draw_resized, utils::make_rect<cv::Rect>(horizontal_item_info.rect), cv::Scalar(0, 0, 255),
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2);
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#endif
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const int horizontal_spacing = horizontal_item_info.rect.x - (base_x + base_w);
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const int vertical_spacing = vertical_item_info.rect.y - (base_y + base_h);
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for (int x = base_x; x <= m_image_resized.cols; x += (base_w + horizontal_spacing)) {
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for (int y = base_y; y <= m_image_resized.rows; y += (base_h + vertical_spacing)) {
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Rect item_roi = Rect(x, y, base_w, base_h);
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if (!m_resized_rect.include(item_roi)) {
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continue;
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}
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m_all_items_roi.emplace_back(item_roi);
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#ifdef ASST_DEBUG
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cv::rectangle(m_image_draw_resized, utils::make_rect<cv::Rect>(item_roi), cv::Scalar(0, 255, 0), 2);
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#endif
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}
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}
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return !m_all_items_roi.empty();
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}
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bool asst::DepotImageAnalyzer::analyze_all_items()
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{
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LogTraceFunction;
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for (const Rect& roi : m_all_items_roi) {
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if (check_roi_empty(roi)) { // roi 是竖着有序的
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break;
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}
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ItemInfo info;
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size_t cur_pos = match_item(roi, info, m_match_begin_pos);
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if (cur_pos == NPos) {
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break;
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}
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std::string item_id = info.item_id;
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m_match_begin_pos = cur_pos + 1;
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info.quantity = match_quantity(info.rect);
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info.item_name = ItemData.get_item_name(item_id);
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#ifdef ASST_DEBUG
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cv::putText(m_image_draw_resized, item_id, cv::Point(roi.x, roi.y - 10), cv::FONT_HERSHEY_SIMPLEX, 0.5,
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cv::Scalar(0, 0, 255), 2);
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cv::putText(m_image_draw_resized, std::to_string(info.quantity), cv::Point(roi.x, roi.y + 10),
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cv::FONT_HERSHEY_SIMPLEX, 0.5, cv::Scalar(0, 0, 255), 2);
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#endif
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if (item_id.empty() || info.quantity == 0) {
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Log.error(__FUNCTION__, item_id, info.item_name, " quantity is zero");
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continue;
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}
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info.rect = resize_rect_to_raw_size(info.rect);
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m_result.emplace(std::move(item_id), std::move(info));
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}
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#ifdef ASST_DEBUG
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cv::Mat hsv;
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cv::cvtColor(m_image_resized, hsv, cv::COLOR_BGR2HSV);
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#endif
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return !m_result.empty();
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}
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bool asst::DepotImageAnalyzer::check_roi_empty(const Rect& roi)
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{
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// TODO
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std::ignore = roi;
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return false;
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}
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size_t asst::DepotImageAnalyzer::match_item(const Rect& roi, /* out */ ItemInfo& item_info, size_t begin_index,
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bool with_enlarge)
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{
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LogTraceFunction;
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const auto& all_items = ItemData.get_ordered_material_item_id();
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MatchImageAnalyzer analyzer(m_image_resized);
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analyzer.set_task_info("DepotMatchData");
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// spacing 有时候算的差一个像素，干脆把 roi 扩大一点好了
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Rect enlarged_roi = roi;
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if (with_enlarge) {
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enlarged_roi = Rect(roi.x - 20, roi.y - 5, roi.width + 40, roi.height + 10);
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}
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analyzer.set_roi(enlarged_roi);
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MatchRect matched;
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std::string matched_item_id;
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size_t matched_index = NPos;
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for (size_t index = begin_index, extra_count = 0; index < all_items.size(); ++index) {
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const std::string& item_id = all_items.at(index);
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analyzer.set_templ_name(item_id);
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if (!analyzer.analyze()) {
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continue;
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}
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if (double score = analyzer.get_result().score; score >= matched.score) {
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matched = analyzer.get_result();
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matched_item_id = item_id;
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matched_index = index;
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}
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// 匹配到了任一结果后，再往后匹配四个。
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// 因为有些相邻的材料长得很像（同一种类的）
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if (matched_index != NPos && ++extra_count >= 4) {
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break;
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}
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}
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Log.info("Item id:", matched_item_id);
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if (matched_item_id.empty()) {
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return NPos;
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}
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item_info.item_id = matched_item_id;
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item_info.rect = matched.rect;
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return matched_index;
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}
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int asst::DepotImageAnalyzer::match_quantity(const Rect& roi)
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{
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auto task_ptr = Task.get<MatchTaskInfo>("DepotQuantity");
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Rect quantity_roi = roi.move(task_ptr->roi);
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cv::Mat quantity_img = m_image_resized(utils::make_rect<cv::Rect>(quantity_roi));
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cv::Mat hsv;
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cv::cvtColor(quantity_img, hsv, cv::COLOR_BGR2HSV);
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const int h_lower = task_ptr->mask_range.first;
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const int h_upper = task_ptr->mask_range.second;
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const int s_lower = task_ptr->specific_rect.x;
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const int s_upper = task_ptr->specific_rect.y;
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const int v_lower = task_ptr->specific_rect.width;
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const int v_upper = task_ptr->specific_rect.height;
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cv::Mat bin;
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cv::inRange(hsv, cv::Scalar(h_lower, s_lower, v_lower), cv::Scalar(h_upper, s_upper, v_upper), bin);
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// split
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const int max_spacing = static_cast<int>(task_ptr->templ_threshold);
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const int bg_v_upper = static_cast<int>(task_ptr->special_threshold);
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std::vector<cv::Range> contours;
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int i_right = bin.cols - 1, i_left = 0;
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bool in = false;
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int spacing = 0;
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for (int i = bin.cols - 1; i >= 0; --i) {
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bool has_white = false;
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for (int j = 0; j < bin.rows; ++j) {
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if (bin.at<uchar>(j, i)) {
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has_white = true;
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break;
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}
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}
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if (in && !has_white) { // leave
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i_left = i;
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in = false;
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spacing = 0;
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contours.emplace_back(i_left, i_right + 1); // range 是前闭后开的
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}
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else if (!in && has_white) { // enter
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i_right = i;
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in = true;
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}
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else if (!in) {
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++spacing;
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uchar bg_top_v = hsv.at<cv::Vec3b>(0, i)[2];
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uchar bg_btm_v = hsv.at<cv::Vec3b>(bin.rows - 1, i)[2];
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if (i_left != 0 && (spacing > max_spacing || bg_top_v > bg_v_upper || bg_btm_v > bg_v_upper)) {
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// filter out noise
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break;
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}
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}
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}
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cv::Rect y_bounding_rect;
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for (int i = 0; i < contours.size(); ++i) {
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if (y_bounding_rect.empty()) {
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auto temp = cv::boundingRect(bin(cv::Range::all(), contours.at(i)));
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if (temp.height > 10) {
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y_bounding_rect = temp;
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}
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else {
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continue;
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}
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}
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auto left_elem_rect = cv::boundingRect(bin(cv::Range::all(), contours.back()));
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if (std::abs(left_elem_rect.height - y_bounding_rect.height) > 2 ||
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std::abs(left_elem_rect.y - y_bounding_rect.y) > 1 || left_elem_rect.width > 12) {
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contours.pop_back();
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}
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else {
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break;
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}
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}
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if (contours.empty()) {
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return 0;
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}
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int far_left = contours.back().start;
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int far_right = contours.front().end;
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OcrWithPreprocessImageAnalyzer analyzer(m_image_resized);
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analyzer.set_task_info("NumberOcrReplace");
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Rect ocr_roi(quantity_roi.x + far_left, quantity_roi.y + y_bounding_rect.y, far_right - far_left,
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y_bounding_rect.height);
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analyzer.set_roi(ocr_roi);
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analyzer.set_expansion(1);
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analyzer.set_threshold(task_ptr->mask_range.first, task_ptr->mask_range.second);
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if (!analyzer.analyze()) {
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return 0;
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}
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const auto& result = analyzer.get_result().front();
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#ifdef ASST_DEBUG
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cv::rectangle(m_image_draw_resized, utils::make_rect<cv::Rect>(result.rect), cv::Scalar(0, 0, 255));
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cv::putText(m_image_draw_resized, result.text, cv::Point(result.rect.x, result.rect.y - 5),
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cv::FONT_HERSHEY_SIMPLEX, 0.5, cv::Scalar(0, 255, 0), 2);
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#endif
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std::string digit_str = result.text;
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int multiple = 1;
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if (size_t w_pos = digit_str.find("万"); w_pos != std::string::npos) {
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multiple = 10000;
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digit_str.erase(w_pos, digit_str.size());
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}
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// else if (size_t e_pos = digit_str.find("亿");
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// e_pos != std::string::npos) {
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// multiple = 100000000;
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// digit_str.erase(e_pos, digit_str.size());
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// }
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if (digit_str.empty() ||
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!ranges::all_of(digit_str, [](const char& c) -> bool { return std::isdigit(c) || c == '.'; })) {
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return 0;
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}
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int quantity = static_cast<int>(std::stod(digit_str) * multiple);
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Log.info("Quantity:", quantity);
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return quantity;
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}
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asst::Rect asst::DepotImageAnalyzer::resize_rect_to_raw_size(const asst::Rect& rect)
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{
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LogTraceFunction;
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m_resized_rect = Task.get("DepotMatchData")->roi;
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double kx = static_cast<double>(m_image.cols) / m_resized_rect.width;
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double ky = static_cast<double>(m_image.rows) / m_resized_rect.height;
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Rect raw_rect;
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raw_rect.x = static_cast<int>(kx * rect.x);
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raw_rect.y = static_cast<int>(ky * rect.y);
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raw_rect.width = static_cast<int>(kx * rect.width);
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raw_rect.height = static_cast<int>(ky * rect.height);
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return raw_rect;
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}
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