Fix face candidate trace

This commit is contained in:
Barzan Hayati 2025-09-26 16:06:51 +00:00
parent 18b5713f7b
commit 6286841117
8 changed files with 257 additions and 132 deletions

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@ -46,7 +46,8 @@
}, },
"extensions": [ "extensions": [
"ms-vscode.cpptools", "ms-vscode.cpptools",
"ms-vscode.cmake-tools" "ms-vscode.cmake-tools",
"mhutchie.git-graph"
] ]
} }
}, },

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@ -78,6 +78,8 @@
"variant": "cpp", "variant": "cpp",
"shared_mutex": "cpp", "shared_mutex": "cpp",
"cfenv": "cpp", "cfenv": "cpp",
"stream_ref": "cpp" "stream_ref": "cpp",
"ranges": "cpp",
"__nullptr": "cpp"
} }
} }

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@ -104,7 +104,8 @@ set(SOURCES src/main.cpp src/camera_manager.cpp src/pipeline_manager.cpp src/st
src/rtsp_streaming_manager.cpp src/rtsp_streaming_manager.cpp
# src/metrics_manager.cpp # src/metrics_manager.cpp
src/config_manager.cpp src/config_manager.cpp
src/nv_infer_server_manager.cpp src/nv_tracker_manager.cpp src/face_candid_trace.cpp src/nv_infer_server_manager.cpp src/nv_tracker_manager.cpp
src/face_candid_trace.cpp
src/face_nv_infer_server_manager.cpp src/face_nv_infer_server_manager.cpp src/face_nv_infer_server_manager.cpp src/face_nv_infer_server_manager.cpp
src/nv_message_converter.cpp src/nv_message_broker.cpp src/tee_manager.cpp) src/nv_message_converter.cpp src/nv_message_broker.cpp src/tee_manager.cpp)

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@ -1,87 +1,177 @@
#include "face_candid_trace.hpp" #include "face_candid_trace.hpp"
FaceCandidTrace::FaceCandidTrace() { // ================= QueueDict =================
maxlen = 150; QueueDict::QueueDict(size_t maxlen) : maxlen(maxlen) {}
// interval_frame_log=20;
face_detection_threshold = 0.5; void QueueDict::add(int key, double value) {
face_surface_threshold = 100; auto it = map.find(key);
termostat_threshold = 0.00001; if (it != map.end()) {
items.erase(it->second);
map.erase(it);
}
items.emplace_back(key, value);
map[key] = std::prev(items.end());
if (items.size() > maxlen) {
auto oldest = items.begin();
map.erase(oldest->first);
items.pop_front();
}
} }
bool FaceCandidTrace::filter(FaceCandidate* face_candidate) { double QueueDict::get(int key, double default_val) const {
float w = face_candidate->w; auto it = map.find(key);
float h = face_candidate->h; if (it != map.end()) return it->second->second;
float face_surface = w * h; return default_val;
float score_face = face_candidate->face_score; // result["temp_face_score"] }
// int frame = face_candidate->frame_number; //result["frame_count"]
if (score_face < face_detection_threshold || bool QueueDict::contains(int key) const { return map.find(key) != map.end(); }
face_surface < face_surface_threshold) {
// if self.logger and self._should_log(frame): size_t QueueDict::size() const { return items.size(); }
// self.logger.info(f"Ignore instance — surface={face_surface},
// score={score:.2f}, track_id={result['track_id']} @ {frame}", std::string QueueDict::repr() const {
// extra={"stream_id": stream_id}) std::ostringstream oss;
// elif self._should_log(frame): oss << "QueueDict([";
// print(f"Ignore instance — surface={face_surface}, bool first = true;
// score={score:.2f}, track_id={result['track_id']} @ {frame}") for (const auto& kv : items) {
if (!first) oss << ", ";
oss << "(" << kv.first << ", " << kv.second << ")";
first = false;
}
oss << "])";
return oss.str();
}
// ================= FaceCandidTrace =================
FaceCandidTrace::FaceCandidTrace(int maxlen, int interval_frame_log,
double face_detection_th, int face_surface_th)
: queue(maxlen),
last_log_frame(-interval_frame_log),
interval_frame_log(interval_frame_log),
fr_face_detection_th(face_detection_th),
fr_face_surface_th(face_surface_th),
th_thermostat(0.00001) {}
bool FaceCandidTrace::should_log(int current_frame) {
if ((current_frame - last_log_frame) >= interval_frame_log) {
last_log_frame = current_frame;
return true;
}
return false;
}
bool FaceCandidTrace::filter(
const std::unordered_map<std::string, double>& result,
const std::string& stream_id) {
(void)stream_id;
double x1 = result.at("x1");
double y1 = result.at("y1");
double x2 = result.at("x2");
double y2 = result.at("y2");
double face_surface = (y2 - y1) * (x2 - x1);
double score = result.at("temp_face_score");
int frame = (int)result.at("frame_count");
if (score < fr_face_detection_th || face_surface < fr_face_surface_th) {
if (should_log(frame)) {
// std::cout << "Ignore instance — surface=" << face_surface
// << ", score=" << score
// << ", track_id=" << result.at("track_id")
// << " @ " << frame
// << " [stream=" << stream_id << "]\n";
}
return false; return false;
} }
return true; return true;
} }
float FaceCandidTrace::metric(FaceCandidate* face_candidate) { double FaceCandidTrace::metric(
// x1, y1, x2, y2 = result["face_bbox"] const std::unordered_map<std::string, double>& result) {
// face_surface = (y2 - y1) * (x2 - x1) double x1 = result.at("x1");
float w = face_candidate->w; double y1 = result.at("y1");
float h = face_candidate->h; double x2 = result.at("x2");
float face_surface = w * h; double y2 = result.at("y2");
face_surface = std::max<float>(face_surface, 30000); double face_surface = (y2 - y1) * (x2 - x1);
face_surface = face_surface / 30000; face_surface = std::max(face_surface, 30000.0);
float out = 0.3 * face_candidate->face_score + 0.7 * face_surface; face_surface /= 30000.0;
// # self.termostat_threshold = 0.02 * out return 0.3 * result.at("temp_face_score") + 0.7 * face_surface;
return out;
} }
float FaceCandidTrace::check_existence(int object_id, int source_id) { bool FaceCandidTrace::add(int track_id,
for (std::vector<FaceBody>::iterator iter = queue.begin(); const std::unordered_map<std::string, double>& result,
iter != queue.end(); iter++) { const std::string& stream_id) {
if (((*iter).object_id == object_id) && if (filter(result, stream_id)) {
((*iter).source_id == source_id)) { double current_metric = metric(result);
return (*iter).face_score; double prev = queue.get(track_id, 0.0);
} if ((current_metric - th_thermostat) > prev) {
} queue.add(track_id, current_metric);
return 0;
}
bool FaceCandidTrace::add(FaceCandidate* face_candidate) {
if (filter(face_candidate)) {
float current_metric = metric(face_candidate);
float prev = check_existence(face_candidate->object_id,
face_candidate->source_id);
// prev = self.queue.get(track_id, 0)
if ((current_metric - termostat_threshold) > prev) {
queue.emplace_back(
FaceBody{face_candidate->object_id, face_candidate->source_id,
face_candidate->frame_number, current_metric});
std::cout << "FaceCandidTrace source_id = "
<< face_candidate->source_id
<< " frame_num = " << face_candidate->frame_number
<< " object_id = " << face_candidate->object_id
<< " size queue = " << queue.size() << std::endl;
// self.queue.add(track_id, current_metric);
return true; return true;
} }
// int frame_count = face_candidate->frame_number; int frame_count = (int)result.at("frame_count");
// //result["frame_count"] if self.ogger and if (should_log(frame_count)) {
// self._should_log(frame_count): // std::cout << "Ignore (better seen before): now="
// self.logger.info(f"Ignore (better seen before): // << (current_metric - th_thermostat)
// now={current_metric - self.termostat_threshold:.2f}, // << ", history=" << prev
// history={prev:.2f}, track_id={result['track_id']} @ // << ", track_id=" << result.at("track_id")
// {frame_count}", extra={"stream_id": stream_id}) // << " @ " << frame_count
// elif self._should_log(frame_count): // << " [stream=" << stream_id << "]\n";
// print(f"Ignore (better seen before): now={current_metric - }
// self.termostat_threshold:.2f}, history={prev:.2f},
// track_id={result['track_id']} @ {frame_count}")
} }
return false; return false;
} }
double FaceCandidTrace::get(int track_id, double default_val) const {
return queue.get(track_id, default_val);
}
bool FaceCandidTrace::contains(int track_id) const {
return queue.contains(track_id);
}
size_t FaceCandidTrace::size() const { return queue.size(); }
std::string FaceCandidTrace::str() const {
std::ostringstream oss;
oss << "<candid trace: " << size() << " candid>";
return oss.str();
}
// In FaceCandidTrace.cpp
std::string FaceCandidTrace::dump() const {
return queue.repr(); // QueueDict already has repr()
}
// ================= FaceCandidTraceManager =================
bool FaceCandidTraceManager::add(
const std::string& stream_id, int track_id,
const std::unordered_map<std::string, double>& result) {
return traces[stream_id].add(track_id, result, stream_id);
}
double FaceCandidTraceManager::get(const std::string& stream_id, int track_id,
double default_val) {
return traces[stream_id].get(track_id, default_val);
}
bool FaceCandidTraceManager::contains(const std::string& stream_id,
int track_id) {
return traces[stream_id].contains(track_id);
}
size_t FaceCandidTraceManager::size() const {
size_t total = 0;
for (const auto& kv : traces) {
total += kv.second.size();
}
return total;
}
std::string FaceCandidTraceManager::str() const {
std::ostringstream oss;
for (const auto& kv : traces) {
oss << kv.first << "" << kv.second.str() << "\n";
oss << " " << kv.second.dump() << "\n"; // show all track_id values
}
return oss.str();
}

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@ -1,39 +1,70 @@
#include <algorithm> // Required for std::max // #pragma once
#include <fstream>
#include <algorithm>
#include <iostream> #include <iostream>
#include <list>
#include <sstream>
#include <string>
#include <unordered_map>
#include "gstnvdsmeta.h" // ================= QueueDict =================
#include "nvdsmeta.h" class QueueDict {
#include "nvdsmeta_schema.h"
class FaceCandidTrace {
private:
int maxlen;
// int interval_frame_log;
float face_detection_threshold;
int face_surface_threshold;
float termostat_threshold;
struct FaceBody {
int object_id = 0;
int source_id = 0;
int num_frames = 0;
float face_score = -1;
};
std::vector<FaceBody> queue;
public: public:
struct FaceCandidate { explicit QueueDict(size_t maxlen);
float w = 0;
float h = 0; void add(int key, double value);
float face_score; double get(int key, double default_val = 0.0) const;
gint frame_number; bool contains(int key) const;
int object_id; size_t size() const;
int source_id; std::string repr() const;
};
FaceCandidTrace(); private:
~FaceCandidTrace(); size_t maxlen;
bool filter(FaceCandidate *); std::list<std::pair<int, double>> items;
float metric(FaceCandidate *face_candidate); std::unordered_map<int, std::list<std::pair<int, double>>::iterator> map;
bool add(FaceCandidate *); };
float check_existence(int, int);
// ================= FaceCandidTrace =================
class FaceCandidTrace {
public:
explicit FaceCandidTrace(int maxlen = 150, int interval_frame_log = 20,
double face_detection_th = 0.5,
int face_surface_th = 100);
bool add(int track_id,
const std::unordered_map<std::string, double>& result,
const std::string& stream_id);
double get(int track_id, double default_val = 0.0) const;
bool contains(int track_id) const;
size_t size() const;
std::string str() const;
std::string dump() const;
private:
QueueDict queue;
int last_log_frame;
int interval_frame_log;
double fr_face_detection_th;
int fr_face_surface_th;
double th_thermostat;
bool should_log(int current_frame);
bool filter(const std::unordered_map<std::string, double>& result,
const std::string& stream_id);
double metric(const std::unordered_map<std::string, double>& result);
};
// ================= FaceCandidTraceManager =================
class FaceCandidTraceManager {
public:
bool add(const std::string& stream_id, int track_id,
const std::unordered_map<std::string, double>& result);
double get(const std::string& stream_id, int track_id,
double default_val = 0.0);
bool contains(const std::string& stream_id, int track_id);
size_t size() const;
std::string str() const;
private:
std::unordered_map<std::string, FaceCandidTrace> traces;
}; };

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@ -10,6 +10,7 @@
#define MAX_DISPLAY_LEN 64 #define MAX_DISPLAY_LEN 64
#define PGIE_CLASS_ID_PERSON 0 #define PGIE_CLASS_ID_PERSON 0
#define FACE_CLASS_ID 1
#define PGIE_DETECTED_CLASS_NUM 1 #define PGIE_DETECTED_CLASS_NUM 1
#define SGIE_DETECTED_CLASS_NUM 1 #define SGIE_DETECTED_CLASS_NUM 1
#define BODY_COMPONENT_ID 1 #define BODY_COMPONENT_ID 1

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@ -8,6 +8,7 @@
#define MAX_DISPLAY_LEN 64 #define MAX_DISPLAY_LEN 64
#define PGIE_CLASS_ID_PERSON 0 #define PGIE_CLASS_ID_PERSON 0
#define FACE_CLASS_ID 1 #define FACE_CLASS_ID 1
#define IGNORE_CLASS_ID 41
#define THRESHOLD_LANDMARKS 0.1 #define THRESHOLD_LANDMARKS 0.1
#define FACE_DETECTED_CLASS_NUM 1 #define FACE_DETECTED_CLASS_NUM 1
#define BODY_COMPONENT_ID 1 #define BODY_COMPONENT_ID 1
@ -18,8 +19,8 @@ unsigned int NvTrackerManager::PGIE_NET_HEIGHT = 1;
unsigned int NvTrackerManager::MUXER_OUTPUT_WIDTH = 1; unsigned int NvTrackerManager::MUXER_OUTPUT_WIDTH = 1;
unsigned int NvTrackerManager::MUXER_OUTPUT_HEIGHT = 1; unsigned int NvTrackerManager::MUXER_OUTPUT_HEIGHT = 1;
std::vector<NvTrackerManager::FaceBody> NvTrackerManager::body_face_list; std::vector<NvTrackerManager::FaceBody> NvTrackerManager::body_face_list;
FaceCandidTrace *NvTrackerManager::face_candidate_trace = FaceCandidTraceManager *NvTrackerManager::face_candidate_trace_manager =
new FaceCandidTrace(); // nullptr; // Definition new FaceCandidTraceManager();
gint NvTrackerManager::frame_number = 0; gint NvTrackerManager::frame_number = 0;
const gchar face_class_str[FACE_DETECTED_CLASS_NUM][32] = { const gchar face_class_str[FACE_DETECTED_CLASS_NUM][32] = {
@ -332,33 +333,31 @@ GstPadProbeReturn NvTrackerManager::tracker_src_pad_buffer_probe(
face_obj->rect_params.border_color = face_obj->rect_params.border_color =
NvOSD_ColorParams{0.0, 0.0, 1.0, 1.0}; // Blue box NvOSD_ColorParams{0.0, 0.0, 1.0, 1.0}; // Blue box
// FaceCandidate *face_candidate = new FaceCandidate();
FaceCandidTrace::FaceCandidate *face_candidate =
new FaceCandidTrace::FaceCandidate();
// NvTrackerManager::FaceCandidate* face_candidate = new
// NvTrackerManager::FaceCandidate();
// manager->face_candidate
face_candidate->frame_number = frame_meta->frame_num;
face_candidate->h = face_rect_params->height;
face_candidate->w = face_rect_params->width;
face_candidate->face_score =
confidence; // manager->get_face_score(user_meta_data);
// // manager->face_score;
face_obj->confidence = face_obj->confidence =
face_candidate->face_score; // 1.0; confidence; // face_candidate->face_score; // 1.0;
face_candidate->object_id = obj_meta->object_id;
face_obj->object_id = obj_meta->object_id; face_obj->object_id = obj_meta->object_id;
face_candidate->source_id = frame_meta->source_id; // Example "result" dictionary (similar to Python dict)
bool add_status = std::unordered_map<std::string, double> result = {
face_candidate_trace->add(face_candidate); {"x1", face_rect_params->left},
{"y1", face_rect_params->top},
{"x2",
face_rect_params->left + face_rect_params->width},
{"y2",
face_rect_params->top + face_rect_params->height},
{"temp_face_score", confidence},
{"frame_count", frame_meta->frame_num},
{"track_id", obj_meta->object_id}};
std::string stream_id =
"stream_" + std::to_string(frame_meta->source_id);
bool add_status = face_candidate_trace_manager->add(
stream_id, obj_meta->object_id, result);
if (add_status) { if (add_status) {
face_obj->class_id = FACE_CLASS_ID; face_obj->class_id = FACE_CLASS_ID;
} else { } else {
face_obj->class_id = 41; face_obj->class_id = IGNORE_CLASS_ID;
} }
NvOSD_TextParams &text_params = face_obj->text_params; NvOSD_TextParams &text_params = face_obj->text_params;

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@ -32,8 +32,8 @@ class NvTrackerManager {
}; };
static std::vector<FaceBody> body_face_list; static std::vector<FaceBody> body_face_list;
static FaceCandidTrace *face_candidate_trace;
float face_score; float face_score;
static FaceCandidTraceManager *face_candidate_trace_manager;
public: public:
static unsigned int PGIE_NET_WIDTH; static unsigned int PGIE_NET_WIDTH;