| | |
| | | #include "MaterialBuffer.h"
|
| | | #include "logger.h"
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| | |
|
| | | //#include "SensetimeFaceAPIWrapper/src/FaceDBPool.h"
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| | | //#include "SensetimeFaceAPIWrapper/src/faceAPI.h"
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| | | #include <opencv2/opencv.hpp>
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| | | #include <cv_face.h>
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| | |
|
| | | struct PL_SensetimeFaceDetect_Internal
|
| | | {
|
| | | //uint8_t buffer[1920*1080*4];
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| | | //size_t buffSize;
|
| | | //size_t buffSizeMax;
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| | | MB_Frame lastFrame;
|
| | | SensetimeFaceDetectConfig config;
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| | |
|
| | | bool payError;
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| | | |
| | | cv_handle_t handle_track;
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| | | PL_SensetimeFaceDetectConfig config;
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| | | SensetimeFaceDetectResult lastResult;
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| | |
|
| | | PL_SensetimeFaceDetect_Internal() :
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| | | //buffSize(0), buffSizeMax(sizeof(buffer)), |
| | | lastFrame(), config(), payError(true), |
| | | handle_track(nullptr)
|
| | | payError(true), config(), lastResult()
|
| | | {
|
| | | }
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| | |
|
| | |
| | |
|
| | | void reset()
|
| | | {
|
| | | //buffSize = 0;
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| | | payError = true;
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| | |
|
| | | MB_Frame _lastFrame;
|
| | | lastFrame = _lastFrame;
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| | | SensetimeFaceDetectConfig _config;
|
| | | PL_SensetimeFaceDetectConfig _config;
|
| | | config = _config;
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| | |
|
| | | handle_track = nullptr;
|
| | | SensetimeFaceDetectResult _lastResult;
|
| | | lastResult = _lastResult;
|
| | | }
|
| | | };
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| | |
|
| | |
| | | PL_SensetimeFaceDetect_Internal* in = (PL_SensetimeFaceDetect_Internal*)internal;
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| | | in->reset();
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| | |
|
| | | SensetimeFaceDetectConfig* config = (SensetimeFaceDetectConfig*)args;
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| | | in->config = *config;
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| | | if (in->config.point_size == 21)
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| | | in->config.point_size_config = CV_DETECT_ENABLE_ALIGN_21;
|
| | | else if (in->config.point_size == 106)
|
| | | in->config.point_size_config = CV_DETECT_ENABLE_ALIGN_106;
|
| | | else
|
| | | if (args != nullptr)
|
| | | {
|
| | | LOG_ERROR << "alignment point size must be 21 or 106";
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| | | return false;
|
| | | PL_SensetimeFaceDetectConfig* config = (PL_SensetimeFaceDetectConfig*)args;
|
| | | in->config = *config;
|
| | | }
|
| | |
|
| | | // init handle
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| | | cv_result_t cv_result = cv_face_create_tracker(&(in->handle_track), nullptr, |
| | | in->config.point_size_config | CV_FACE_TRACKING_TWO_THREAD);
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| | | if (cv_result != CV_OK)
|
| | | {
|
| | | LOG_ERROR << "cv_face_create_tracker failed, error code" << cv_result;
|
| | | return false;
|
| | | }
|
| | |
|
| | | int val = 0;
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| | | cv_result = cv_face_track_set_detect_face_cnt_limit(in->handle_track, in->config.detect_face_cnt_limit, &val);
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| | | if (cv_result != CV_OK)
|
| | | {
|
| | | LOG_ERROR << "cv_face_track_set_detect_face_cnt_limit failed, error : " << cv_result;
|
| | | return false;
|
| | | }
|
| | | else
|
| | | LOG_ERROR << "detect face count limit : " << val;
|
| | | |
| | | return true;
|
| | | }
|
| | |
|
| | | void PL_SensetimeFaceDetect::finit()
|
| | | {
|
| | | PL_SensetimeFaceDetect_Internal* in = (PL_SensetimeFaceDetect_Internal*)internal;
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| | | |
| | | // destroy track handle
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| | | cv_face_destroy_tracker(in->handle_track);
|
| | | in->handle_track = nullptr;
|
| | | }
|
| | |
|
| | | int doFaceDetect(PL_SensetimeFaceDetect_Internal* in, |
| | | uint8_t* buffer, size_t width, size_t height, size_t stride, cv_pixel_format cvPixFmt)
|
| | | {
|
| | | //resize(bgr_frame, bgr_frame, Size(frame_width, frame_height), 0, 0, INTER_LINEAR);
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| | |
|
| | | int face_count = 0;
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| | | cv_result_t cv_result = CV_OK;
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| | | cv_face_t* p_face = nullptr;
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| | | |
| | | // realtime track
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| | | cv_result = cv_face_track(in->handle_track, buffer, cvPixFmt,
|
| | | width, height, stride,
|
| | | CV_FACE_UP, &p_face, &face_count);
|
| | | if (cv_result != CV_OK)
|
| | | {
|
| | | LOG_ERROR << "cv_face_track failed, error : " << cv_result;
|
| | | cv_face_release_tracker_result(p_face, face_count);
|
| | | return -1;
|
| | | }
|
| | |
|
| | | // draw the video
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| | | cv::Mat yuvMat(cv::Size(1920,1080), CV_8UC3, buffer);//#todo
|
| | | cv::Mat yMat(cv::Size(1920,1080), CV_8UC1, buffer);
|
| | | for (int i = 0; i < face_count; i++)
|
| | | {
|
| | | LOGP(DEBUG, "face: %d-----[%d, %d, %d, %d]-----id: %d", i,
|
| | | p_face[i].rect.left, p_face[i].rect.top,
|
| | | p_face[i].rect.right, p_face[i].rect.bottom, p_face[i].ID);
|
| | | |
| | | LOGP(DEBUG, "face pose: [yaw: %.2f, pitch: %.2f, roll: %.2f, eye distance: %.2f]",
|
| | | p_face[i].yaw,
|
| | | p_face[i].pitch, p_face[i].roll, p_face[i].eye_dist);
|
| | |
|
| | | cv::Scalar scalar_color = CV_RGB(p_face[i].ID * 53 % 256,
|
| | | p_face[i].ID * 93 % 256,
|
| | | p_face[i].ID * 143 % 256);
|
| | | |
| | | //cv::rectangle(yMat, cv::Point2f(0, 0), cv::Point2f(50, 50), scalar_color, 2);
|
| | | //cv::rectangle(yMat, cv::Point2f(500, 500), cv::Point2f(550, 550), scalar_color, 2);
|
| | | |
| | | cv::rectangle(yMat, cv::Point2f(static_cast<float>(p_face[i].rect.left),
|
| | | static_cast<float>(p_face[i].rect.top)),
|
| | | cv::Point2f(static_cast<float>(p_face[i].rect.right),
|
| | | static_cast<float>(p_face[i].rect.bottom)), scalar_color, 2);
|
| | | |
| | | for (int j = 0; j < p_face[i].points_count; j++)
|
| | | {
|
| | | cv::circle(yMat, cv::Point2f(p_face[i].points_array[j].x,
|
| | | p_face[i].points_array[j].y), 1, cv::Scalar(255, 255, 255));
|
| | | }
|
| | | }
|
| | | |
| | | //if (face_count > 0)
|
| | | //{
|
| | | // static size_t f=0;
|
| | | // char fname[50];
|
| | | // sprintf(fname, "face-%u.yuv420", ++f);
|
| | | // FILE * pFile = fopen (fname,"wb");
|
| | | // fwrite (yuvMat.data , sizeof(char), 1920*1080*1.5, pFile);
|
| | | // printf("write face file %s\n", fname);
|
| | | // fclose(pFile);
|
| | | //}
|
| | |
|
| | | // release the memory of face
|
| | | cv_face_release_tracker_result(p_face, face_count);
|
| | |
|
| | | return face_count;
|
| | | }
|
| | |
|
| | | bool PL_SensetimeFaceDetect::pay(const PipeMaterial& pm)
|
| | | {
|
| | | PL_SensetimeFaceDetect_Internal* in = (PL_SensetimeFaceDetect_Internal*)internal;
|
| | |
|
| | | if (pm.type != PipeMaterial::PMT_FRAME)
|
| | | |
| | | in->payError = true;
|
| | | {
|
| | | LOG_ERROR << "PL_H264Encoder::pay only support PMT_FRAME";
|
| | | SensetimeFaceDetectResult _lastResult;
|
| | | in->lastResult = _lastResult;
|
| | | }
|
| | |
|
| | | if (pm.type != PipeMaterial::PMT_FRAME || !(in->config.payWithDbFrame))
|
| | | {
|
| | | LOG_ERROR << "Only support PMT_FRAME (SensetimeFaceDetectDbFrame)" << std::endl;
|
| | | return false;
|
| | | }
|
| | |
|
| | | if (pm.buffer == nullptr)
|
| | | return false;
|
| | |
|
| | | MB_Frame* frame = (MB_Frame*)pm.buffer;
|
| | | SensetimeFaceDetectDbFrame* frame = (SensetimeFaceDetectDbFrame*)pm.buffer;
|
| | | if (frame->type != MB_Frame::MBFT_YUV420)
|
| | | {
|
| | | LOG_ERROR << "PL_H264Encoder::pay only support MBFT_YUV420";
|
| | | LOG_ERROR << "Only support MBFT_YUV420" << std::endl;
|
| | | return false;
|
| | | }
|
| | |
|
| | | int face_count = doFaceDetect(in, (uint8_t*)frame->buffer, 1920, 1080, 1920, CV_PIX_FMT_YUV420P);//#todo
|
| | | if (face_count < 0)
|
| | | {
|
| | | in->payError = true;
|
| | | return false;
|
| | | }
|
| | | else
|
| | | in->payError = false;
|
| | | //FaceDB* _faceDB = (FaceDB*)frame->_faceDB;
|
| | | //if (_faceDB == nullptr)
|
| | | //{
|
| | | // LOG_ERROR << "FaceDB is null" << std::endl;
|
| | | // return false;
|
| | | //}
|
| | |
|
| | | //in->buffer readly
|
| | |
|
| | | in->lastFrame.type = MB_Frame::MBFT_YUV420;
|
| | | in->lastFrame.buffer = frame->buffer;//#todo should copy
|
| | | in->lastFrame.buffSize = frame->buffSize;
|
| | | in->lastFrame.width = frame->width;
|
| | | in->lastFrame.height = frame->height;
|
| | | in->lastFrame.pts = frame->pts;
|
| | |
|
| | | const size_t expectedYUVSize = frame->width * frame->height * 1.5;
|
| | | if (frame->buffSize < expectedYUVSize)
|
| | | {
|
| | | LOG_WARN << "image size not ok" << std::endl;
|
| | | return false;
|
| | | }
|
| | | |
| | | cv::Mat yuvMat(cv::Size(frame->width,frame->height), CV_8UC3, frame->buffer);
|
| | | //cv_feature_t* feature = _faceDB->extract_feature(yuvMat);
|
| | | //in->lastResult.st_id = _faceDB->search_db(feature);
|
| | | |
| | | //in->lastResult.st_id = _faceDB->do_reasch(yuvMat);
|
| | | //#todo release feature
|
| | | |
| | | in->lastResult.school_id = frame->school_id;
|
| | | |
| | | in->payError = false;
|
| | | return true;
|
| | | }
|
| | |
|
| | |
| | | {
|
| | | PL_SensetimeFaceDetect_Internal* in = (PL_SensetimeFaceDetect_Internal*)internal;
|
| | |
|
| | | if (!in->payError)
|
| | | {
|
| | | pm.type = PipeMaterial::PMT_FRAME;
|
| | | pm.buffer = &(in->lastFrame);
|
| | | pm.buffSize = 0;
|
| | | pm.former = this;
|
| | | }
|
| | | pm.former = this;
|
| | | return !in->payError;
|
| | | |
| | | if (in->payError)
|
| | | {
|
| | | return false;
|
| | | }
|
| | | |
| | | if (! in->config.resultStructOnly)
|
| | | {
|
| | | LOG_ERROR << "Only support resultStructOnly" << std::endl;
|
| | | return false;
|
| | | }
|
| | | |
| | | pm.type = PipeMaterial::PMT_BYTES;
|
| | | pm.buffer = &(in->lastResult);
|
| | | pm.buffSize = sizeof(SensetimeFaceDetectResult);
|
| | |
|
| | | return true;
|
| | | }
|