feat(v2): add fall event regression engine
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package main
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import (
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"context"
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"errors"
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"flag"
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"fmt"
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"io"
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"os"
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"os/exec"
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"time"
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"silverpose/v2/internal/fall"
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"silverpose/v2/internal/pose"
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"silverpose/v2/internal/spike"
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)
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func main() {
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ffmpegPath := flag.String("ffmpeg", "ffmpeg", "path to ffmpeg.exe")
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videoPath := flag.String("video", "..\\demo\\1.mp4", "local non-sensitive validation video")
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width := flag.Int("width", 848, "source video frame width")
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height := flag.Int("height", 480, "source video frame height")
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fps := flag.Float64("fps", 30, "replay timestamp frames per second")
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maxFrames := flag.Int("max-frames", 0, "maximum frames to process; zero reads the complete video")
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modelPath := flag.String("onnx", "assets\\best.onnx", "locked ONNX pose model path")
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runtimeDLLPath := flag.String("ort-dll", "", "absolute onnxruntime.dll path")
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flag.Parse()
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if *runtimeDLLPath == "" || *width <= 0 || *height <= 0 || *fps <= 0 || *maxFrames < 0 {
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fail("--ort-dll is required; width, height and fps must be positive; max-frames cannot be negative")
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}
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engine, err := fall.NewEngine(fall.EngineConfig{
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KeypointConfidenceThreshold: 0.4,
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SuspectWindowSeconds: 0.5,
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ConfirmWindowSeconds: 1.8,
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RecoveryWindowSeconds: 2.0,
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CooldownSeconds: 10.0,
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RequireRapidDrop: false,
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RequireLowerBody: false,
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HorizontalAngleThresholdDegrees: 45.0,
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ConfigVersion: "v1-default-20260722",
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SessionID: "video-regression",
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})
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if err != nil {
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fail("create event engine: %v", err)
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}
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runtime, err := spike.OpenRuntime(*modelPath, *runtimeDLLPath)
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if err != nil {
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fail("open ONNX Pose runtime: %v", err)
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}
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defer runtime.Close()
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ctx, cancel := context.WithTimeout(context.Background(), 5*time.Minute)
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defer cancel()
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command := exec.CommandContext(ctx, *ffmpegPath, "-v", "error", "-i", *videoPath, "-f", "rawvideo", "-pix_fmt", "bgr24", "-")
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stdout, err := command.StdoutPipe()
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if err != nil {
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fail("open FFmpeg output: %v", err)
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}
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if err := command.Start(); err != nil {
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fail("start FFmpeg: %v", err)
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}
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frameBytes := *width * *height * 3
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frame := make([]byte, frameBytes)
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frameCount := 0
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personFrames := 0
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personCount := 0
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events := make([]fall.Event, 0)
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limited := false
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for *maxFrames == 0 || frameCount < *maxFrames {
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_, err := io.ReadFull(stdout, frame)
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if errors.Is(err, io.EOF) || errors.Is(err, io.ErrUnexpectedEOF) {
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break
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}
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if err != nil {
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fail("read FFmpeg BGR frame: %v", err)
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}
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input, transform, err := pose.PreprocessBGR(frame, *width, *height, 640)
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if err != nil {
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fail("preprocess frame %d: %v", frameCount, err)
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}
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output, err := runtime.Run(input)
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if err != nil {
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fail("run ONNX Pose for frame %d: %v", frameCount, err)
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}
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people, err := pose.ParseYOLOv8Pose(output, transform, 0.25, 0.70)
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if err != nil {
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fail("parse ONNX Pose for frame %d: %v", frameCount, err)
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}
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result := engine.Process(fall.Frame{Timestamp: float64(frameCount) / *fps, Width: *width, Height: *height, Poses: people})
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if len(people) > 0 {
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personFrames++
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personCount += len(people)
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}
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events = append(events, result.Events...)
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frameCount++
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}
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if *maxFrames > 0 && frameCount == *maxFrames {
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limited = true
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cancel()
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}
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if err := command.Wait(); err != nil {
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if !limited {
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fail("FFmpeg ended with an error: %v", err)
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}
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}
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fmt.Printf("REGRESSION_OK frames=%d person_frames=%d people=%d events=%d\n", frameCount, personFrames, personCount, len(events))
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for _, event := range events {
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fmt.Printf("EVENT id=%s track=%s latency=%.6f state=%s\n", event.EventID, event.TrackID, event.LatencySeconds, event.State)
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}
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}
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func fail(format string, args ...any) {
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fmt.Fprintf(os.Stderr, "regression: "+format+"\n", args...)
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os.Exit(1)
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}
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