feat: dual input (start_frame/end_frame + start_time/end_time) + all outputs include frames, time, fps

This commit is contained in:
Accusys
2026-05-14 17:36:18 +08:00
parent df531b2457
commit 4494935cc9
2 changed files with 87 additions and 45 deletions

View File

@@ -36,10 +36,10 @@ struct TracesRequest {
struct TraceInfo {
trace_id: i32,
face_count: i64,
first_frame: i32,
last_frame: i32,
first_sec: f64,
last_sec: f64,
start_frame: i32,
end_frame: i32,
start_time: f64,
end_time: f64,
duration_sec: f64,
avg_confidence: f64,
sample_face_id: Option<String>,
@@ -49,6 +49,7 @@ struct TraceInfo {
struct TracesResponse {
success: bool,
file_uuid: String,
fps: f64,
total_traces: i64,
total_faces: i64,
page: i64,
@@ -73,8 +74,8 @@ async fn list_traces_sorted(
let order_clause = match sort {
"face_count" => "face_count DESC",
"duration" => "(MAX(frame_number) - MIN(frame_number)) DESC",
_ => "first_frame ASC",
"duration" => "duration_sec DESC",
_ => "start_frame ASC",
};
let fps: f64 =
@@ -87,12 +88,13 @@ async fn list_traces_sorted(
.unwrap_or(24.0);
let query = format!(
"SELECT tt.*, fd.id AS sample_face_id, {} AS video_fps FROM (
"SELECT tt.*, fd.id AS sample_face_id FROM (
SELECT trace_id,
COUNT(*) AS face_count,
MIN(frame_number) AS first_frame,
MAX(frame_number) AS last_frame,
AVG(confidence) AS avg_confidence
MIN(frame_number) AS start_frame,
MAX(frame_number) AS end_frame,
(MAX(frame_number) - MIN(frame_number))::float8 AS duration_sec,
AVG(confidence)::float8 AS avg_confidence
FROM {}
WHERE file_uuid = $1 AND trace_id IS NOT NULL
AND confidence >= $5 AND confidence <= $6
@@ -106,13 +108,12 @@ async fn list_traces_sorted(
WHERE trace_id = tt.trace_id AND file_uuid = $1
ORDER BY confidence DESC LIMIT 1
) fd ON true",
crate::core::db::schema::table_name("videos"),
crate::core::db::schema::table_name("face_detections"),
order_clause,
crate::core::db::schema::table_name("face_detections"),
);
let rows: Vec<(i32, i64, i32, i32, f64, f64, f64, f64, Option<String>)> =
let rows: Vec<(i32, i64, i32, i32, f64, f64, Option<i32>)> =
sqlx::query_as(&query)
.bind(&file_uuid)
.bind(min_faces)
@@ -126,16 +127,16 @@ async fn list_traces_sorted(
let traces: Vec<TraceInfo> = rows
.into_iter()
.map(|(tid, fc, ff, lf, fs, ls, dur, conf, fid)| TraceInfo {
.map(|(tid, fc, sf, ef, dur, conf, fid)| TraceInfo {
trace_id: tid,
face_count: fc,
first_frame: ff,
last_frame: lf,
first_sec: fs,
last_sec: ls,
duration_sec: dur,
start_frame: sf,
end_frame: ef,
start_time: sf as f64 / fps,
end_time: ef as f64 / fps,
duration_sec: dur / fps,
avg_confidence: conf,
sample_face_id: fid,
sample_face_id: fid.map(|v| v.to_string()),
})
.collect();
@@ -151,6 +152,7 @@ async fn list_traces_sorted(
Ok(Json(TracesResponse {
success: true,
file_uuid,
fps,
total_traces,
total_faces,
page,
@@ -174,7 +176,9 @@ struct TraceFacesQuery {
struct TraceFaceItem {
id: i32,
start_frame: i32,
end_frame: i32,
start_time: f64,
end_time: f64,
x: Option<i32>,
y: Option<i32>,
width: Option<i32>,
@@ -188,6 +192,7 @@ struct TraceFacesResponse {
success: bool,
file_uuid: String,
trace_id: i32,
fps: f64,
total: i64,
faces: Vec<TraceFaceItem>,
}
@@ -274,10 +279,13 @@ async fn list_trace_faces(
let mid_w = lerp_i32(prev.4, *w, t);
let mid_h = lerp_i32(prev.5, *h, t);
let mid_frame = prev_frame + mid;
let mt = (mid_frame as f64 / fps * 10.0).round() / 10.0;
faces.push(TraceFaceItem {
id: 0,
start_frame: mid_frame,
start_time: (mid_frame as f64 / fps * 10.0).round() / 10.0,
end_frame: mid_frame,
start_time: mt,
end_time: mt,
x: mid_x,
y: mid_y,
width: mid_w,
@@ -291,10 +299,13 @@ async fn list_trace_faces(
// Add the real detection
let frame_val = *frame;
let ft = (frame_val as f64 / fps * 10.0).round() / 10.0;
faces.push(TraceFaceItem {
id: *id,
start_frame: frame_val,
start_time: (frame_val as f64 / fps * 10.0).round() / 10.0,
end_frame: frame_val,
start_time: ft,
end_time: ft,
x: *x,
y: *y,
width: *w,
@@ -314,6 +325,7 @@ async fn list_trace_faces(
success: true,
file_uuid,
trace_id,
fps,
total,
faces,
}))