完善demo

Hu Chunming
1 parent 86d2e175
Showing 1 changed file with 64 additions and 18 deletions
src/demo/main.cpp
@@ -6,7 +6,7 @@
 using namespace std;
-void show_result(std::vector<AnalysisResult> r);
+void show_result(std::vector<AnalysisResult> r, vector<string> vec_path);
 int main() {
@@ -20,7 +20,7 @@ int main() {
     string log_path = param.log_path + "/main.log";
     set_default_logger(LogLevel(param.log_level), "PicAnalysis", log_path.c_str(), param.log_mem, param.log_days);
-    
+
     int ret = village_pic_init(&vaHandle, param);
     // vector<string> vec_path;
@@ -34,12 +34,12 @@ int main() {
     vector<string> vec_path;
     {
-        string path = "./img/test_all1.jpg";
+        string path = "./img/test_motor4.jpg";
         vec_path.push_back(path);
     }
     std::vector<AnalysisResult> result = village_pic_analysis_file(vaHandle, vec_path);
-    show_result(result);
+    show_result(result, vec_path);
     village_pic_release(&vaHandle);
@@ -48,13 +48,17 @@ int main() {
 static string shot_type[] = {"head", "rear", "motor", "tricycle", "body", "body_nova", "6-行人"};
 static string vehicle_type[] = {"person 人", " bike 自行车", "motor 摩托车", "tricycle 三轮车", "car 汽车", "bigbus 大巴", "lorry 货车", "tractor 拖拉机", "midibus  面包/中巴"};
-static string plate_status[] = {"全部遮挡", " 无车牌", " 正常车牌", " 部分遮挡"};
+static string plate_status[] = {"无车牌", " 正常车牌", " 遮挡车牌"};
 static string plate_type[] = {"0-单排蓝色 ", "1-单排黄色 ", "2-单排白色 ", "3-单排黑色", " 4-双排黄色 ", "5-双排白色 ", "6-新能源黄绿色 ", "7-新能源白绿色"};
 static string human_color[] = {"棕", "橙", "灰", "白", "粉", "紫", "红", "绿", "蓝", "银", "青", "黄", "黑","多色", "其他"};
 static string line_cls[] = {"未知", "黄实线", " 白实线", "白虚线", "黄虚线", "车道中线"};
 static string seg_cls[] = {"未知","行车道/机动车道", "非机动车道", "应急车道", "导流线", "人行横道", "禁停区域", "十字路口区域", "农村道路"};
-void show_result(std::vector<AnalysisResult> result){
+uint8_t seg_colors[][3] = { {0, 0, 0}, {0, 255, 255}, {128, 255, 0}, {255, 128, 0}, {128, 0, 255}, {255, 0, 128}, {0, 128, 255}, {0, 255, 128}, {128, 255, 255}};
+
+void show_result(std::vector<AnalysisResult> result, vector<string> vec_path){
+
+    cv::Mat image = cv::imread(vec_path[0]);
     for (size_t i = 0; i < result.size(); i++)
     {
@@ -64,18 +68,59 @@ void show_result(std::vector&lt;AnalysisResult&gt; result){
             auto plate_info = info[j].vehicle_plate_det_recg_res;
             std::vector<pendant_info> pendant_res = info[j].vehicle_pendant_det_res;
+            cv::Rect rc;
+            rc.x =  info[j].vehicle_body_detect_res.rect.left_;
+            rc.y = info[j].vehicle_body_detect_res.rect.top_;
+            rc.width = info[j].vehicle_body_detect_res.rect.width_;
+            rc.height = info[j].vehicle_body_detect_res.rect.height_;
+
+            const cv::Scalar color(seg_colors[j][0], seg_colors[j][1], seg_colors[j][2]);
+            cv::rectangle(image, rc, color);
+
+            auto taken_info = info[j].manned_res;
+            for (size_t k= 0; k < taken_info.hs_count; k++)
+            {
+                cv::Rect rc;
+                rc.x =  taken_info.hs_rect[k].rect.left_;
+                rc.y = taken_info.hs_rect[k].rect.top_;
+                rc.width = taken_info.hs_rect[k].rect.width_;
+                rc.height = taken_info.hs_rect[k].rect.height_;
+
+                const cv::Scalar color(255, 255, 255);
+                cv::rectangle(image, rc, color);
+            }
+            
+
+            LOG_INFO("-------------------------------------------{}---------------------------------------------", j);
             LOG_INFO("位置特征");
             LOG_INFO("      车辆位置:{},{},{},{}", info[j].vehicle_body_detect_res.rect.left_ ,info[j].vehicle_body_detect_res.rect.top_, info[j].vehicle_body_detect_res.rect.width_, info[j].vehicle_body_detect_res.rect.height_);
             LOG_INFO("      拍摄方向:{}", shot_type[info[j].type]);
             LOG_INFO("目标类型:{}", vehicle_type[info[j].vpt_type]);
-            LOG_INFO("车辆特征");
-            LOG_INFO("      号牌状态:{}", plate_status[plate_info.stain_vp_result.type]);
-            LOG_INFO("      号牌位置:{},{},{},{}", plate_info.rect.left_, plate_info.rect.top_, plate_info.rect.width_, plate_info.rect.height_ );
-            LOG_INFO("      号牌种类:{}", plate_type[plate_info.type]);
-            LOG_INFO("      号牌号码:{}{}{}{}{}{}{}{}", plate_info.recg[0].character, plate_info.recg[1].character, plate_info.recg[2].character, plate_info.recg[3].character, plate_info.recg[4].character, plate_info.recg[5].character, plate_info.recg[6].character, plate_info.recg[7].character);
-            LOG_INFO("      号牌可信度:{}", plate_info.detect_score);
-            LOG_INFO("      每位号牌可信度:{}:{}  {}:{}  {}:{}  {}:{}  {}:{}  {}:{}  {}:{}  {}:{}", plate_info.recg[0].character, plate_info.recg[0].maxprob, plate_info.recg[1].character, plate_info.recg[1].maxprob, plate_info.recg[2].character, plate_info.recg[2].maxprob, plate_info.recg[3].character, plate_info.recg[3].maxprob, plate_info.recg[4].character, plate_info.recg[4].maxprob, plate_info.recg[5].character, plate_info.recg[5].maxprob, plate_info.recg[6].character, plate_info.recg[6].maxprob, plate_info.recg[7].character, plate_info.recg[7].maxprob);
-            LOG_INFO("      车辆类型分类:{}", vehicle_type[info[j].vpt_type]);
+            if (info[j].vpt_type > 0)
+            {
+                LOG_INFO("车辆特征");
+                if (plate_info.stain_vp_result.type >= 0 && plate_info.stain_vp_result.type <= 2) {
+                    LOG_INFO("      号牌状态:{}", plate_status[plate_info.stain_vp_result.type]);
+                }else {
+                    LOG_INFO("      号牌状态:未知");
+                }
+                
+                LOG_INFO("      号牌位置:{},{},{},{}", plate_info.rect.left_, plate_info.rect.top_, plate_info.rect.width_, plate_info.rect.height_ );
+                if (plate_info.type >= 0) {
+                    LOG_INFO("      号牌种类:{}  {}", plate_type[plate_info.type], plate_info.type);
+                } else {
+                    LOG_INFO("      号牌种类:未知", plate_type[plate_info.type], plate_info.type);
+                }
+                LOG_INFO("      号牌号码:{}{}{}{}{}{}{}{}", plate_info.recg[0].character, plate_info.recg[1].character, plate_info.recg[2].character, plate_info.recg[3].character, plate_info.recg[4].character, plate_info.recg[5].character, plate_info.recg[6].character, plate_info.recg[7].character);
+                LOG_INFO("      号牌可信度:{}", plate_info.detect_score);
+                LOG_INFO("      每位号牌可信度:{}:{}  {}:{}  {}:{}  {}:{}  {}:{}  {}:{}  {}:{}  {}:{}", plate_info.recg[0].character, plate_info.recg[0].maxprob, plate_info.recg[1].character, plate_info.recg[1].maxprob, plate_info.recg[2].character, plate_info.recg[2].maxprob, plate_info.recg[3].character, plate_info.recg[3].maxprob, plate_info.recg[4].character, plate_info.recg[4].maxprob, plate_info.recg[5].character, plate_info.recg[5].maxprob, plate_info.recg[6].character, plate_info.recg[6].maxprob, plate_info.recg[7].character, plate_info.recg[7].maxprob);
+                LOG_INFO("      车辆类型分类:{}", vehicle_type[info[j].vpt_type]);
+            } else {
+                LOG_INFO("行人特征");
+                LOG_INFO("      上衣颜色:{}", human_color[info[j].human_upper_color]);
+                LOG_INFO("      下衣颜色:{}", human_color[info[j].human_lower_color]);
+            }
+            
             if (pendant_res.size() > 0)
             {
                 LOG_INFO("驾乘人员特征");
@@ -87,11 +132,9 @@ void show_result(std::vector&lt;AnalysisResult&gt; result){
                     LOG_INFO("      衣着颜色:{}", human_color[one_pendant.iColor]);
                 }
             }
-            LOG_INFO("行人特征");
-            LOG_INFO("      上衣颜色:{}", human_color[info[j].human_upper_color]);
-            LOG_INFO("      下衣颜色:{}", human_color[info[j].human_lower_color]);
+            
             LOG_INFO("违法行为特征");
-            LOG_INFO("      不戴头盔:{} 置信度：{}", info[j].mta_res.motor_driver_helmeted.status, info[j].mta_res.motor_driver_helmeted.confidence);
+            LOG_INFO("      不戴头盔:{} 置信度:{}", info[j].mta_res.motor_driver_helmeted.status, info[j].mta_res.motor_driver_helmeted.confidence);
             LOG_INFO("      违法载人:{}", info[j].motor_manned);
             LOG_INFO("      加装雨棚:{} {}", info[j].rainshed, info[j].rainshed_prob);
             LOG_INFO("      使用手机:{} {}", info[j].phoning, info[j].phoning_prob);
@@ -127,4 +170,7 @@ void show_result(std::vector&lt;AnalysisResult&gt; result){
             LOG_INFO("      车道点集:{}", str_line);
         }
     }
+
+    cv::imwrite("./show_result.jpg", image);
+    image.release();
 }
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