feat(v2): add fall event regression engine

This commit is contained in:
ila
2026-07-22 16:18:16 +08:00
parent 258fa49259
commit 1298369054
22 changed files with 1214 additions and 92 deletions
+118
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@@ -0,0 +1,118 @@
package main
import (
"context"
"errors"
"flag"
"fmt"
"io"
"os"
"os/exec"
"time"
"silverpose/v2/internal/fall"
"silverpose/v2/internal/pose"
"silverpose/v2/internal/spike"
)
func main() {
ffmpegPath := flag.String("ffmpeg", "ffmpeg", "path to ffmpeg.exe")
videoPath := flag.String("video", "..\\demo\\1.mp4", "local non-sensitive validation video")
width := flag.Int("width", 848, "source video frame width")
height := flag.Int("height", 480, "source video frame height")
fps := flag.Float64("fps", 30, "replay timestamp frames per second")
maxFrames := flag.Int("max-frames", 0, "maximum frames to process; zero reads the complete video")
modelPath := flag.String("onnx", "assets\\best.onnx", "locked ONNX pose model path")
runtimeDLLPath := flag.String("ort-dll", "", "absolute onnxruntime.dll path")
flag.Parse()
if *runtimeDLLPath == "" || *width <= 0 || *height <= 0 || *fps <= 0 || *maxFrames < 0 {
fail("--ort-dll is required; width, height and fps must be positive; max-frames cannot be negative")
}
engine, err := fall.NewEngine(fall.EngineConfig{
KeypointConfidenceThreshold: 0.4,
SuspectWindowSeconds: 0.5,
ConfirmWindowSeconds: 1.8,
RecoveryWindowSeconds: 2.0,
CooldownSeconds: 10.0,
RequireRapidDrop: false,
RequireLowerBody: false,
HorizontalAngleThresholdDegrees: 45.0,
ConfigVersion: "v1-default-20260722",
SessionID: "video-regression",
})
if err != nil {
fail("create event engine: %v", err)
}
runtime, err := spike.OpenRuntime(*modelPath, *runtimeDLLPath)
if err != nil {
fail("open ONNX Pose runtime: %v", err)
}
defer runtime.Close()
ctx, cancel := context.WithTimeout(context.Background(), 5*time.Minute)
defer cancel()
command := exec.CommandContext(ctx, *ffmpegPath, "-v", "error", "-i", *videoPath, "-f", "rawvideo", "-pix_fmt", "bgr24", "-")
stdout, err := command.StdoutPipe()
if err != nil {
fail("open FFmpeg output: %v", err)
}
if err := command.Start(); err != nil {
fail("start FFmpeg: %v", err)
}
frameBytes := *width * *height * 3
frame := make([]byte, frameBytes)
frameCount := 0
personFrames := 0
personCount := 0
events := make([]fall.Event, 0)
limited := false
for *maxFrames == 0 || frameCount < *maxFrames {
_, err := io.ReadFull(stdout, frame)
if errors.Is(err, io.EOF) || errors.Is(err, io.ErrUnexpectedEOF) {
break
}
if err != nil {
fail("read FFmpeg BGR frame: %v", err)
}
input, transform, err := pose.PreprocessBGR(frame, *width, *height, 640)
if err != nil {
fail("preprocess frame %d: %v", frameCount, err)
}
output, err := runtime.Run(input)
if err != nil {
fail("run ONNX Pose for frame %d: %v", frameCount, err)
}
people, err := pose.ParseYOLOv8Pose(output, transform, 0.25, 0.70)
if err != nil {
fail("parse ONNX Pose for frame %d: %v", frameCount, err)
}
result := engine.Process(fall.Frame{Timestamp: float64(frameCount) / *fps, Width: *width, Height: *height, Poses: people})
if len(people) > 0 {
personFrames++
personCount += len(people)
}
events = append(events, result.Events...)
frameCount++
}
if *maxFrames > 0 && frameCount == *maxFrames {
limited = true
cancel()
}
if err := command.Wait(); err != nil {
if !limited {
fail("FFmpeg ended with an error: %v", err)
}
}
fmt.Printf("REGRESSION_OK frames=%d person_frames=%d people=%d events=%d\n", frameCount, personFrames, personCount, len(events))
for _, event := range events {
fmt.Printf("EVENT id=%s track=%s latency=%.6f state=%s\n", event.EventID, event.TrackID, event.LatencySeconds, event.State)
}
}
func fail(format string, args ...any) {
fmt.Fprintf(os.Stderr, "regression: "+format+"\n", args...)
os.Exit(1)
}
+10 -2
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@@ -8,6 +8,7 @@ import (
"os/exec"
"time"
"silverpose/v2/internal/pose"
"silverpose/v2/internal/spike"
)
@@ -41,7 +42,7 @@ func main() {
fail("decoded BGR frame has %d bytes, want %d; verify --width/--height", len(raw), expectedBytes)
}
input, err := spike.LetterboxBGRToNCHW(raw, *width, *height, 640)
input, transform, err := pose.PreprocessBGR(raw, *width, *height, 640)
if err != nil {
fail("preprocess frame: %v", err)
}
@@ -49,6 +50,10 @@ func main() {
if err != nil {
fail("run ONNX Pose: %v", err)
}
people, err := pose.ParseYOLOv8Pose(output, transform, 0.25, 0.70)
if err != nil {
fail("parse ONNX Pose: %v", err)
}
max := float32(0)
for _, value := range output {
@@ -56,7 +61,10 @@ func main() {
max = value
}
}
fmt.Printf("SPIKE_OK frame=%dx%d input=%d output=%d max=%.4f\n", *width, *height, len(input), len(output), max)
fmt.Printf("SPIKE_OK frame=%dx%d input=%d output=%d people=%d max=%.4f\n", *width, *height, len(input), len(output), len(people), max)
for index, person := range people {
fmt.Printf("PERSON index=%d conf=%.6f box=%.3f,%.3f,%.3f,%.3f\n", index, person.Confidence, person.Box.Left, person.Box.Top, person.Box.Right, person.Box.Bottom)
}
}
func fail(format string, args ...any) {
+62
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@@ -0,0 +1,62 @@
package fall
import (
"math"
"silverpose/v2/internal/pose"
)
var torsoJoints = [...]int{5, 6, 11, 12}
var lowerJoints = [...]int{13, 14, 15, 16}
func assessPoseQuality(person pose.PersonPose, threshold float32, requireLowerBody bool) PoseQuality {
if threshold < 0 || threshold > 1 {
return PoseQuality{Reason: "invalid_threshold"}
}
visible := 0
for _, keypoint := range person.Keypoints {
if keypoint.Confidence >= threshold {
visible++
}
}
for _, index := range torsoJoints {
if person.Keypoints[index].Confidence < threshold {
return PoseQuality{Reason: "required_joint_low_confidence", VisibleJointCount: visible}
}
}
if requireLowerBody {
for _, index := range lowerJoints {
if person.Keypoints[index].Confidence < threshold {
return PoseQuality{Reason: "required_joint_low_confidence", VisibleJointCount: visible}
}
}
}
return PoseQuality{Accepted: true, Reason: "accepted", VisibleJointCount: visible}
}
func extractEvidence(person pose.PersonPose, quality PoseQuality, previous *PoseEvidence, horizontalAngleThreshold float32) PoseEvidence {
if !quality.Accepted {
return PoseEvidence{Reason: quality.Reason}
}
shoulderX, shoulderY := midpoint(person, 5, 6)
hipX, hipY := midpoint(person, 11, 12)
vectorX := hipX - shoulderX
vectorY := hipY - shoulderY
torsoLength := float32(math.Hypot(float64(vectorX), float64(vectorY)))
if torsoLength == 0 {
return PoseEvidence{HipCenterY: hipY, HasHipCenterY: true, TorsoLength: 0, Reason: "degenerate_torso"}
}
cosine := math.Max(-1, math.Min(1, math.Abs(float64(vectorX))/float64(torsoLength)))
angle := float32(math.Acos(cosine) * 180 / math.Pi)
rapid := previous != nil && previous.Accepted && previous.HasHipCenterY && hipY-previous.HipCenterY >= 0.5*torsoLength
return PoseEvidence{
Accepted: true, HorizontalPose: angle <= horizontalAngleThreshold,
RapidVerticalChange: rapid, HorizontalAngleDegree: angle, HasAngle: true,
HipCenterY: hipY, HasHipCenterY: true, TorsoLength: torsoLength, Reason: "accepted",
}
}
func midpoint(person pose.PersonPose, first, second int) (float32, float32) {
return (person.Keypoints[first].X + person.Keypoints[second].X) / 2,
(person.Keypoints[first].Y + person.Keypoints[second].Y) / 2
}
+94
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@@ -0,0 +1,94 @@
package fall
import "fmt"
type Engine struct {
config EngineConfig
tracker *tracker
policy *policy
stateMachine *stateMachine
previousEvidence map[string]PoseEvidence
activeTrackIDs map[string]bool
}
func NewEngine(config EngineConfig) (*Engine, error) {
if config.KeypointConfidenceThreshold < 0 || config.KeypointConfidenceThreshold > 1 {
return nil, fmt.Errorf("keypoint confidence threshold must be between 0 and 1")
}
if config.SuspectWindowSeconds < 0 {
return nil, fmt.Errorf("suspect window seconds must be non-negative")
}
if config.HorizontalAngleThresholdDegrees < 0 || config.HorizontalAngleThresholdDegrees > 90 {
return nil, fmt.Errorf("horizontal angle threshold degrees must be between 0 and 90")
}
tracker, err := newTracker(0.2, 2.0)
if err != nil {
return nil, err
}
stateMachine, err := newStateMachine(config)
if err != nil {
return nil, err
}
return &Engine{
config: config, tracker: tracker, policy: newPolicy(config.SuspectWindowSeconds, config.RequireRapidDrop),
stateMachine: stateMachine, previousEvidence: make(map[string]PoseEvidence), activeTrackIDs: make(map[string]bool),
}, nil
}
func (engine *Engine) StateOf(trackID string) State {
return engine.stateMachine.stateOf(trackID)
}
func (engine *Engine) Process(frame Frame) FrameResult {
tracked, err := engine.tracker.update(frame.Poses, frame.Timestamp, frame.Width, frame.Height)
if err != nil {
return FrameResult{}
}
currentIDs := make(map[string]bool, len(tracked))
for _, trackedPose := range tracked {
currentIDs[trackedPose.TrackID] = true
}
events := engine.rejectMissingTracks(currentIDs, frame.Timestamp)
people := make([]PersonAnalysis, 0, len(tracked))
for _, trackedPose := range tracked {
quality := assessPoseQuality(trackedPose.Pose, engine.config.KeypointConfidenceThreshold, engine.config.RequireLowerBody)
var previous *PoseEvidence
if candidate, found := engine.previousEvidence[trackedPose.TrackID]; found {
previous = &candidate
}
poseEvidence := extractEvidence(trackedPose.Pose, quality, previous, engine.config.HorizontalAngleThresholdDegrees)
stateBefore := engine.stateMachine.stateOf(trackedPose.TrackID)
evidence := engine.policy.evaluate(trackedPose.TrackID, poseEvidence, frame.Timestamp, stateBefore)
newEvents, err := engine.stateMachine.update(trackedPose.TrackID, evidence, frame.Timestamp)
if err == nil {
events = append(events, newEvents...)
}
if poseEvidence.Accepted {
engine.previousEvidence[trackedPose.TrackID] = poseEvidence
} else {
delete(engine.previousEvidence, trackedPose.TrackID)
}
people = append(people, PersonAnalysis{
TrackedPose: trackedPose, PoseEvidence: poseEvidence, Evidence: evidence,
State: engine.stateMachine.stateOf(trackedPose.TrackID),
})
}
engine.activeTrackIDs = currentIDs
return FrameResult{People: people, Events: events}
}
func (engine *Engine) rejectMissingTracks(currentIDs map[string]bool, now float64) []Event {
events := make([]Event, 0)
for trackID := range engine.activeTrackIDs {
if currentIDs[trackID] {
continue
}
delete(engine.previousEvidence, trackID)
engine.policy.evaluate(trackID, PoseEvidence{}, now, engine.stateMachine.stateOf(trackID))
newEvents, err := engine.stateMachine.update(trackID, Evidence{}, now)
if err == nil {
events = append(events, newEvents...)
}
}
return events
}
+105
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@@ -0,0 +1,105 @@
package fall
import (
"math"
"testing"
"silverpose/v2/internal/pose"
)
func TestEngineConfirmsPersistentHorizontalPoseAtV1Delay(t *testing.T) {
engine, err := NewEngine(EngineConfig{
KeypointConfidenceThreshold: 0.4,
SuspectWindowSeconds: 0.5,
ConfirmWindowSeconds: 1.8,
RecoveryWindowSeconds: 2.0,
CooldownSeconds: 10.0,
RequireRapidDrop: false,
RequireLowerBody: false,
HorizontalAngleThresholdDegrees: 45.0,
ConfigVersion: "cfg-v1-contract",
SessionID: "regression",
})
if err != nil {
t.Fatalf("NewEngine returned an error: %v", err)
}
engine.Process(Frame{Timestamp: 0.0, Width: 180, Height: 180, Poses: []pose.PersonPose{testPose(false)}})
engine.Process(Frame{Timestamp: 0.1, Width: 180, Height: 180, Poses: []pose.PersonPose{testPose(true)}})
result := engine.Process(Frame{Timestamp: 1.91, Width: 180, Height: 180, Poses: []pose.PersonPose{testPose(true)}})
if len(result.Events) != 1 {
t.Fatalf("events = %+v, want one confirmation", result.Events)
}
event := result.Events[0]
if event.TrackID != "P-0001" || math.Abs(event.LatencySeconds-1.81) > 1e-9 || event.ConfigVersion != "cfg-v1-contract" {
t.Fatalf("event = %+v", event)
}
if got := engine.StateOf("P-0001"); got != Confirmed {
t.Fatalf("state = %s, want CONFIRMED", got)
}
}
func TestEngineDoesNotConfirmWhenTrackIsMissing(t *testing.T) {
engine, err := NewEngine(testConfig())
if err != nil {
t.Fatalf("NewEngine returned an error: %v", err)
}
engine.Process(Frame{Timestamp: 0.0, Width: 180, Height: 180, Poses: []pose.PersonPose{testPose(false)}})
engine.Process(Frame{Timestamp: 0.1, Width: 180, Height: 180, Poses: []pose.PersonPose{testPose(true)}})
engine.Process(Frame{Timestamp: 0.2, Width: 180, Height: 180})
result := engine.Process(Frame{Timestamp: 1.9, Width: 180, Height: 180, Poses: []pose.PersonPose{testPose(true)}})
if len(result.Events) != 0 {
t.Fatalf("events = %+v, want none after a missing track", result.Events)
}
}
func TestEngineDoesNotAlarmForUprightSequence(t *testing.T) {
engine, err := NewEngine(testConfig())
if err != nil {
t.Fatalf("NewEngine returned an error: %v", err)
}
for _, timestamp := range []float64{0.0, 0.6, 1.2, 1.8, 2.4} {
result := engine.Process(Frame{Timestamp: timestamp, Width: 180, Height: 180, Poses: []pose.PersonPose{testPose(false)}})
if len(result.Events) != 0 {
t.Fatalf("timestamp %v emitted %+v for upright pose", timestamp, result.Events)
}
}
}
func testConfig() EngineConfig {
return EngineConfig{
KeypointConfidenceThreshold: 0.4,
SuspectWindowSeconds: 0.5,
ConfirmWindowSeconds: 1.8,
RecoveryWindowSeconds: 2.0,
CooldownSeconds: 10.0,
RequireRapidDrop: false,
RequireLowerBody: false,
HorizontalAngleThresholdDegrees: 45.0,
ConfigVersion: "cfg-v1-contract",
SessionID: "regression",
}
}
func testPose(horizontal bool) pose.PersonPose {
person := pose.PersonPose{Box: pose.Box{Left: 20, Top: 20, Right: 160, Bottom: 160}, Confidence: 0.9}
for index := range person.Keypoints {
person.Keypoints[index] = pose.Keypoint{X: float32(index), Y: float32(index), Confidence: 0.9}
}
if horizontal {
person.Keypoints[5] = pose.Keypoint{X: 20, Y: 80, Confidence: 0.9}
person.Keypoints[6] = pose.Keypoint{X: 30, Y: 80, Confidence: 0.9}
person.Keypoints[11] = pose.Keypoint{X: 70, Y: 100, Confidence: 0.9}
person.Keypoints[12] = pose.Keypoint{X: 80, Y: 100, Confidence: 0.9}
} else {
person.Keypoints[5] = pose.Keypoint{X: 30, Y: 10, Confidence: 0.9}
person.Keypoints[6] = pose.Keypoint{X: 40, Y: 10, Confidence: 0.9}
person.Keypoints[11] = pose.Keypoint{X: 30, Y: 30, Confidence: 0.9}
person.Keypoints[12] = pose.Keypoint{X: 40, Y: 30, Confidence: 0.9}
}
return person
}
+37
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@@ -0,0 +1,37 @@
package fall
type policy struct {
suspectWindowSeconds float64
requireRapidDrop bool
rapidDropAt map[string]float64
}
func newPolicy(suspectWindowSeconds float64, requireRapidDrop bool) *policy {
return &policy{
suspectWindowSeconds: suspectWindowSeconds,
requireRapidDrop: requireRapidDrop,
rapidDropAt: make(map[string]float64),
}
}
func (policy *policy) evaluate(trackID string, poseEvidence PoseEvidence, now float64, state State) Evidence {
if !poseEvidence.Accepted {
delete(policy.rapidDropAt, trackID)
return Evidence{}
}
if poseEvidence.RapidVerticalChange {
policy.rapidDropAt[trackID] = now
}
candidate := false
if state == Suspect {
candidate = poseEvidence.HorizontalPose
} else if poseEvidence.HorizontalPose {
if !policy.requireRapidDrop {
candidate = true
} else if droppedAt, found := policy.rapidDropAt[trackID]; found {
candidate = now-droppedAt <= policy.suspectWindowSeconds
}
}
recovery := (state == Confirmed || state == Recovering) && !poseEvidence.HorizontalPose && !poseEvidence.RapidVerticalChange
return Evidence{Accepted: true, IsFallCandidate: candidate, IsRecoveryCandidate: recovery}
}
+142
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@@ -0,0 +1,142 @@
package fall
import "fmt"
type stateRecord struct {
state State
suspectStartedAt float64
hasSuspectStartedAt bool
confirmedAt float64
hasConfirmedAt bool
recoveryStartedAt float64
hasRecoveryStartedAt bool
lastUpdatedAt float64
hasLastUpdatedAt bool
}
type stateMachine struct {
confirmWindowSeconds float64
recoveryWindowSeconds float64
cooldownSeconds float64
configVersion string
sessionID string
records map[string]*stateRecord
nextEventNumber int
}
func newStateMachine(config EngineConfig) (*stateMachine, error) {
if config.ConfirmWindowSeconds < 1 || config.ConfirmWindowSeconds > 3 {
return nil, fmt.Errorf("confirm window seconds must be between 1 and 3")
}
if config.RecoveryWindowSeconds <= 0 {
return nil, fmt.Errorf("recovery window seconds must be positive")
}
if config.CooldownSeconds < 0 {
return nil, fmt.Errorf("cooldown seconds must be non-negative")
}
if config.ConfigVersion == "" {
return nil, fmt.Errorf("config version must be non-empty")
}
return &stateMachine{
confirmWindowSeconds: config.ConfirmWindowSeconds, recoveryWindowSeconds: config.RecoveryWindowSeconds,
cooldownSeconds: config.CooldownSeconds, configVersion: config.ConfigVersion, sessionID: config.SessionID,
records: make(map[string]*stateRecord), nextEventNumber: 1,
}, nil
}
func (machine *stateMachine) stateOf(trackID string) State {
if record, found := machine.records[trackID]; found {
return record.state
}
return Normal
}
func (machine *stateMachine) update(trackID string, evidence Evidence, now float64) ([]Event, error) {
if trackID == "" {
return nil, fmt.Errorf("track ID must be non-empty")
}
record, found := machine.records[trackID]
if !found {
record = &stateRecord{state: Normal}
machine.records[trackID] = record
}
if record.hasLastUpdatedAt && now < record.lastUpdatedAt {
return nil, fmt.Errorf("timestamps must be monotonic per track")
}
record.lastUpdatedAt, record.hasLastUpdatedAt = now, true
if !evidence.Accepted {
machine.rejectEvidence(record)
return nil, nil
}
switch record.state {
case Normal:
if evidence.IsFallCandidate {
record.state, record.suspectStartedAt, record.hasSuspectStartedAt = Suspect, now, true
}
return nil, nil
case Suspect:
if !evidence.IsFallCandidate {
machine.setNormal(record)
return nil, nil
}
if now-record.suspectStartedAt >= machine.confirmWindowSeconds {
record.state, record.confirmedAt, record.hasConfirmedAt = Confirmed, now, true
event := machine.newEvent(trackID, record.suspectStartedAt, now)
record.hasSuspectStartedAt = false
return []Event{event}, nil
}
return nil, nil
case Confirmed:
if evidence.IsRecoveryCandidate && now-record.confirmedAt >= machine.cooldownSeconds {
record.state, record.recoveryStartedAt, record.hasRecoveryStartedAt = Recovering, now, true
}
return nil, nil
case Recovering:
if evidence.IsFallCandidate {
record.state, record.suspectStartedAt, record.hasSuspectStartedAt = Suspect, now, true
record.hasRecoveryStartedAt = false
return nil, nil
}
if !evidence.IsRecoveryCandidate {
record.state, record.hasRecoveryStartedAt = Confirmed, false
return nil, nil
}
if now-record.recoveryStartedAt >= machine.recoveryWindowSeconds {
machine.setNormal(record)
}
return nil, nil
default:
return nil, fmt.Errorf("unknown fall state")
}
}
func (machine *stateMachine) rejectEvidence(record *stateRecord) {
if record.state == Suspect {
machine.setNormal(record)
} else if record.state == Recovering {
record.state, record.hasRecoveryStartedAt = Confirmed, false
}
}
func (machine *stateMachine) setNormal(record *stateRecord) {
record.state = Normal
record.hasSuspectStartedAt = false
record.hasConfirmedAt = false
record.hasRecoveryStartedAt = false
}
func (machine *stateMachine) newEvent(trackID string, suspectedAt, confirmedAt float64) Event {
prefix := "FALL-"
if machine.sessionID != "" {
prefix += machine.sessionID + "-"
}
event := Event{
EventID: fmt.Sprintf("%s%06d", prefix, machine.nextEventNumber), TrackID: trackID,
ConfigVersion: machine.configVersion, SuspectedAtMonotonic: suspectedAt,
ConfirmedAtMonotonic: confirmedAt, LatencySeconds: confirmedAt - suspectedAt, State: Confirmed,
}
machine.nextEventNumber++
return event
}
+93
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@@ -0,0 +1,93 @@
package fall
import (
"fmt"
"math"
"sort"
"silverpose/v2/internal/pose"
)
type track struct {
centerX float32
centerY float32
lastSeenAt float64
}
type tracker struct {
maxMatchDistanceRatio float64
maxAgeSeconds float64
tracks map[string]track
nextTrackNumber int
}
func newTracker(maxMatchDistanceRatio, maxAgeSeconds float64) (*tracker, error) {
if maxMatchDistanceRatio <= 0 || maxMatchDistanceRatio > 1 {
return nil, fmt.Errorf("max match distance ratio must be in (0, 1]")
}
if maxAgeSeconds <= 0 {
return nil, fmt.Errorf("max age seconds must be positive")
}
return &tracker{
maxMatchDistanceRatio: maxMatchDistanceRatio,
maxAgeSeconds: maxAgeSeconds,
tracks: make(map[string]track),
nextTrackNumber: 1,
}, nil
}
func (tracker *tracker) update(poses []pose.PersonPose, now float64, width, height int) ([]TrackedPose, error) {
if width <= 0 || height <= 0 {
return nil, fmt.Errorf("frame size must contain positive width and height")
}
tracker.expire(now)
availableIDs := make(map[string]bool, len(tracker.tracks))
for trackID := range tracker.tracks {
availableIDs[trackID] = true
}
tracked := make([]TrackedPose, 0, len(poses))
for _, person := range poses {
centerX := (person.Box.Left + person.Box.Right) / 2
centerY := (person.Box.Top + person.Box.Bottom) / 2
trackID := tracker.nearestAvailable(centerX, centerY, availableIDs, width, height)
if trackID == "" {
trackID = fmt.Sprintf("P-%04d", tracker.nextTrackNumber)
tracker.nextTrackNumber++
} else {
delete(availableIDs, trackID)
}
tracker.tracks[trackID] = track{centerX: centerX, centerY: centerY, lastSeenAt: now}
tracked = append(tracked, TrackedPose{TrackID: trackID, Pose: person})
}
return tracked, nil
}
func (tracker *tracker) nearestAvailable(centerX, centerY float32, availableIDs map[string]bool, width, height int) string {
ids := make([]string, 0, len(availableIDs))
for trackID := range availableIDs {
ids = append(ids, trackID)
}
sort.Strings(ids)
closestID := ""
closestDistance := math.Inf(1)
for _, trackID := range ids {
previous := tracker.tracks[trackID]
distance := math.Hypot(
float64(centerX-previous.centerX)/float64(width),
float64(centerY-previous.centerY)/float64(height),
)
if distance <= tracker.maxMatchDistanceRatio && distance < closestDistance {
closestID = trackID
closestDistance = distance
}
}
return closestID
}
func (tracker *tracker) expire(now float64) {
for trackID, current := range tracker.tracks {
if now-current.lastSeenAt > tracker.maxAgeSeconds {
delete(tracker.tracks, trackID)
}
}
}
+83
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@@ -0,0 +1,83 @@
package fall
import "silverpose/v2/internal/pose"
type State string
const (
Normal State = "NORMAL"
Suspect State = "SUSPECT"
Confirmed State = "CONFIRMED"
Recovering State = "RECOVERING"
)
type Evidence struct {
Accepted bool
IsFallCandidate bool
IsRecoveryCandidate bool
}
type PoseQuality struct {
Accepted bool
Reason string
VisibleJointCount int
}
type PoseEvidence struct {
Accepted bool
HorizontalPose bool
RapidVerticalChange bool
HorizontalAngleDegree float32
HasAngle bool
HipCenterY float32
HasHipCenterY bool
TorsoLength float32
Reason string
}
type Event struct {
EventID string
TrackID string
ConfigVersion string
SuspectedAtMonotonic float64
ConfirmedAtMonotonic float64
LatencySeconds float64
State State
}
type Frame struct {
Timestamp float64
Width int
Height int
Poses []pose.PersonPose
}
type TrackedPose struct {
TrackID string
Pose pose.PersonPose
}
type PersonAnalysis struct {
TrackedPose TrackedPose
PoseEvidence PoseEvidence
Evidence Evidence
State State
}
type FrameResult struct {
People []PersonAnalysis
Events []Event
}
type EngineConfig struct {
KeypointConfidenceThreshold float32
SuspectWindowSeconds float64
ConfirmWindowSeconds float64
RecoveryWindowSeconds float64
CooldownSeconds float64
RequireRapidDrop bool
RequireLowerBody bool
HorizontalAngleThresholdDegrees float32
ConfigVersion string
SessionID string
}
+125
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@@ -0,0 +1,125 @@
package pose
import (
"fmt"
"sort"
)
// ParseYOLOv8Pose turns the fixed [1,56,8400] YOLO Pose output into source
// pixel coordinates, applying confidence filtering and class-agnostic NMS.
func ParseYOLOv8Pose(output []float32, transform LetterboxTransform, confidenceThreshold, iouThreshold float32) ([]PersonPose, error) {
if len(output) != YOLOPoseOutputValues {
return nil, fmt.Errorf("YOLO Pose output length = %d, want %d", len(output), YOLOPoseOutputValues)
}
if transform.Scale <= 0 {
return nil, fmt.Errorf("letterbox scale must be positive")
}
if confidenceThreshold < 0 || confidenceThreshold > 1 || iouThreshold < 0 || iouThreshold > 1 {
return nil, fmt.Errorf("confidence and IoU thresholds must be between 0 and 1")
}
candidates := make([]PersonPose, 0)
for candidate := 0; candidate < YOLOPoseCandidateCount; candidate++ {
confidence := valueAt(output, 4, candidate)
if confidence < confidenceThreshold {
continue
}
centerX := valueAt(output, 0, candidate)
centerY := valueAt(output, 1, candidate)
width := valueAt(output, 2, candidate)
height := valueAt(output, 3, candidate)
person := PersonPose{
Box: Box{
Left: transform.restoreX(centerX - width/2),
Top: transform.restoreY(centerY - height/2),
Right: transform.restoreX(centerX + width/2),
Bottom: transform.restoreY(centerY + height/2),
},
Confidence: confidence,
}
for keypoint := 0; keypoint < YOLOPoseKeypointCount; keypoint++ {
channel := 5 + keypoint*3
person.Keypoints[keypoint] = Keypoint{
X: transform.restoreX(valueAt(output, channel, candidate)),
Y: transform.restoreY(valueAt(output, channel+1, candidate)),
Confidence: valueAt(output, channel+2, candidate),
}
}
candidates = append(candidates, person)
}
sort.SliceStable(candidates, func(left, right int) bool {
return candidates[left].Confidence > candidates[right].Confidence
})
selected := make([]PersonPose, 0, len(candidates))
for _, candidate := range candidates {
overlaps := false
for _, accepted := range selected {
if intersectionOverUnion(candidate.Box, accepted.Box) > iouThreshold {
overlaps = true
break
}
}
if !overlaps {
selected = append(selected, candidate)
}
}
return selected, nil
}
func valueAt(output []float32, channel, candidate int) float32 {
return output[channel*YOLOPoseCandidateCount+candidate]
}
func (transform LetterboxTransform) restoreX(value float32) float32 {
return clampCoordinate((value-float32(transform.PadLeft))/transform.Scale, transform.OriginalWidth)
}
func (transform LetterboxTransform) restoreY(value float32) float32 {
return clampCoordinate((value-float32(transform.PadTop))/transform.Scale, transform.OriginalHeight)
}
func clampCoordinate(value float32, size int) float32 {
if size <= 0 {
return value
}
if value < 0 {
return 0
}
maximum := float32(size)
if value > maximum {
return maximum
}
return value
}
func intersectionOverUnion(left, right Box) float32 {
intersectionLeft := maxFloat(left.Left, right.Left)
intersectionTop := maxFloat(left.Top, right.Top)
intersectionRight := minFloat(left.Right, right.Right)
intersectionBottom := minFloat(left.Bottom, right.Bottom)
intersectionWidth := maxFloat(0, intersectionRight-intersectionLeft)
intersectionHeight := maxFloat(0, intersectionBottom-intersectionTop)
intersection := intersectionWidth * intersectionHeight
leftArea := maxFloat(0, left.Right-left.Left) * maxFloat(0, left.Bottom-left.Top)
rightArea := maxFloat(0, right.Right-right.Left) * maxFloat(0, right.Bottom-right.Top)
union := leftArea + rightArea - intersection
if union <= 0 {
return 0
}
return intersection / union
}
func minFloat(left, right float32) float32 {
if left < right {
return left
}
return right
}
func maxFloat(left, right float32) float32 {
if left > right {
return left
}
return right
}
+45
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@@ -0,0 +1,45 @@
package pose
import "testing"
func TestParseYOLOv8PoseRestoresCoordinatesAndSuppressesOverlap(t *testing.T) {
output := make([]float32, YOLOPoseOutputValues)
putDetection(output, 0, 320, 320, 100, 200, 0.90, 330, 340)
putDetection(output, 1, 322, 321, 100, 200, 0.80, 332, 341)
people, err := ParseYOLOv8Pose(output, LetterboxTransform{Scale: 1}, 0.25, 0.70)
if err != nil {
t.Fatalf("ParseYOLOv8Pose returned an error: %v", err)
}
if len(people) != 1 {
t.Fatalf("people = %d, want one NMS survivor", len(people))
}
person := people[0]
if person.Box != (Box{Left: 270, Top: 220, Right: 370, Bottom: 420}) {
t.Fatalf("box = %+v", person.Box)
}
if point := person.Keypoints[0]; point.X != 330 || point.Y != 340 || point.Confidence != 0.9 {
t.Fatalf("first keypoint = %+v", point)
}
}
func TestParseYOLOv8PoseRejectsUnexpectedOutputLength(t *testing.T) {
_, err := ParseYOLOv8Pose([]float32{0}, LetterboxTransform{Scale: 1}, 0.25, 0.70)
if err == nil {
t.Fatal("ParseYOLOv8Pose accepted a malformed output")
}
}
func putDetection(output []float32, candidate int, centerX, centerY, width, height, confidence, keypointX, keypointY float32) {
output[0*YOLOPoseCandidateCount+candidate] = centerX
output[1*YOLOPoseCandidateCount+candidate] = centerY
output[2*YOLOPoseCandidateCount+candidate] = width
output[3*YOLOPoseCandidateCount+candidate] = height
output[4*YOLOPoseCandidateCount+candidate] = confidence
for keypoint := 0; keypoint < YOLOPoseKeypointCount; keypoint++ {
base := 5 + keypoint*3
output[(base+0)*YOLOPoseCandidateCount+candidate] = keypointX
output[(base+1)*YOLOPoseCandidateCount+candidate] = keypointY
output[(base+2)*YOLOPoseCandidateCount+candidate] = 0.9
}
}
+87
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@@ -0,0 +1,87 @@
package pose
import (
"fmt"
"math"
)
const letterboxPadding = byte(114)
// PreprocessBGR reproduces the fixed-shape Ultralytics letterbox contract:
// BGR source pixels are resized with bilinear interpolation, padded in 114
// gray, converted to RGB/CHW and normalised to [0, 1].
func PreprocessBGR(frame []byte, width, height, target int) ([]float32, LetterboxTransform, error) {
if width <= 0 || height <= 0 || target <= 0 {
return nil, LetterboxTransform{}, fmt.Errorf("frame width, height and target must be positive")
}
if len(frame) != width*height*3 {
return nil, LetterboxTransform{}, fmt.Errorf("BGR frame length = %d, want %d", len(frame), width*height*3)
}
scale := math.Min(float64(target)/float64(width), float64(target)/float64(height))
resizedWidth := int(math.Round(float64(width) * scale))
resizedHeight := int(math.Round(float64(height) * scale))
padWidth := target - resizedWidth
padHeight := target - resizedHeight
padLeft := int(math.Round(float64(padWidth)/2.0 - 0.1))
padTop := int(math.Round(float64(padHeight)/2.0 - 0.1))
transform := LetterboxTransform{
OriginalWidth: width, OriginalHeight: height, InputSize: target,
ResizedWidth: resizedWidth, ResizedHeight: resizedHeight,
PadLeft: padLeft, PadTop: padTop, Scale: float32(scale),
}
plane := target * target
input := make([]float32, 3*plane)
padding := float32(letterboxPadding) / 255.0
for index := range input {
input[index] = padding
}
for y := 0; y < resizedHeight; y++ {
sourceY := clampFloat((float64(y)+0.5)*float64(height)/float64(resizedHeight)-0.5, 0, float64(height-1))
y0 := int(math.Floor(sourceY))
y1 := minInt(y0+1, height-1)
yWeight := float32(sourceY - float64(y0))
for x := 0; x < resizedWidth; x++ {
sourceX := clampFloat((float64(x)+0.5)*float64(width)/float64(resizedWidth)-0.5, 0, float64(width-1))
x0 := int(math.Floor(sourceX))
x1 := minInt(x0+1, width-1)
xWeight := float32(sourceX - float64(x0))
leftTop := (y0*width + x0) * 3
rightTop := (y0*width + x1) * 3
leftBottom := (y1*width + x0) * 3
rightBottom := (y1*width + x1) * 3
destination := (padTop+y)*target + padLeft + x
for sourceChannel := 0; sourceChannel < 3; sourceChannel++ {
value := bilinear(
frame[leftTop+sourceChannel], frame[rightTop+sourceChannel],
frame[leftBottom+sourceChannel], frame[rightBottom+sourceChannel],
xWeight, yWeight,
)
// BGR source maps to RGB tensor planes.
tensorChannel := 2 - sourceChannel
// cv2.resize writes uint8 pixels before Ultralytics converts the
// image to float; round here to retain that observable contract.
input[tensorChannel*plane+destination] = float32(math.Round(float64(value))) / 255.0
}
}
}
return input, transform, nil
}
func bilinear(topLeft, topRight, bottomLeft, bottomRight byte, xWeight, yWeight float32) float32 {
top := float32(topLeft)*(1-xWeight) + float32(topRight)*xWeight
bottom := float32(bottomLeft)*(1-xWeight) + float32(bottomRight)*xWeight
return top*(1-yWeight) + bottom*yWeight
}
func clampFloat(value, minimum, maximum float64) float64 {
return math.Max(minimum, math.Min(maximum, value))
}
func minInt(left, right int) int {
if left < right {
return left
}
return right
}
+39
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@@ -0,0 +1,39 @@
package pose
import "testing"
func TestPreprocessBGRUsesUltralyticsPaddingAndRGBCHW(t *testing.T) {
// A 2x1 BGR frame letterboxes into a 4x4 tensor with one row of 114-gray
// padding above and below. The rightmost source pixel is pure blue in BGR.
frame := []byte{0, 0, 0, 255, 0, 0}
input, transform, err := PreprocessBGR(frame, 2, 1, 4)
if err != nil {
t.Fatalf("PreprocessBGR returned an error: %v", err)
}
if transform.ResizedWidth != 4 || transform.ResizedHeight != 2 || transform.PadTop != 1 {
t.Fatalf("unexpected transform: %+v", transform)
}
const plane = 16
padding := float32(114.0 / 255.0)
if got := input[2*plane+0]; got != padding {
t.Fatalf("top padding blue = %v, want %v", got, padding)
}
if got := input[0*plane+1*4+3]; got != 0 {
t.Fatalf("red channel = %v, want 0", got)
}
if got := input[1*plane+1*4+3]; got != 0 {
t.Fatalf("green channel = %v, want 0", got)
}
if got := input[2*plane+1*4+3]; got != 1 {
t.Fatalf("blue channel = %v, want 1", got)
}
}
func TestPreprocessBGRRejectsTruncatedFrame(t *testing.T) {
_, _, err := PreprocessBGR([]byte{0}, 2, 1, 4)
if err == nil {
t.Fatal("PreprocessBGR accepted a truncated BGR frame")
}
}
+39
View File
@@ -0,0 +1,39 @@
package pose
const (
YOLOPoseKeypointCount = 17
YOLOPoseCandidateCount = 8400
YOLOPoseChannelCount = 56
YOLOPoseOutputValues = YOLOPoseChannelCount * YOLOPoseCandidateCount
)
type Keypoint struct {
X float32
Y float32
Confidence float32
}
type Box struct {
Left float32
Top float32
Right float32
Bottom float32
}
type PersonPose struct {
Box Box
Confidence float32
Keypoints [YOLOPoseKeypointCount]Keypoint
}
// LetterboxTransform maps fixed-square YOLO coordinates back to source pixels.
type LetterboxTransform struct {
OriginalWidth int
OriginalHeight int
InputSize int
ResizedWidth int
ResizedHeight int
PadLeft int
PadTop int
Scale float32
}
+88 -39
View File
@@ -12,6 +12,90 @@ const (
poseOutputCount = 1 * 56 * 8400
)
// Runtime owns one reusable ONNX session. V2 video replay must keep the
// model session alive across frames; recreating it for every frame would make
// event-latency measurements meaningless.
type Runtime struct {
input *ort.Tensor[float32]
output *ort.Tensor[float32]
session *ort.AdvancedSession
initialized bool
closed bool
}
func OpenRuntime(modelPath, runtimeDLLPath string) (*Runtime, error) {
ort.SetSharedLibraryPath(runtimeDLLPath)
if err := ort.InitializeEnvironment(); err != nil {
return nil, fmt.Errorf("initialize ONNX Runtime: %w", err)
}
runtime := &Runtime{initialized: true}
var err error
runtime.input, err = ort.NewEmptyTensor[float32](ort.NewShape(1, 3, poseInputSize, poseInputSize))
if err != nil {
runtime.Close()
return nil, fmt.Errorf("create pose input tensor: %w", err)
}
runtime.output, err = ort.NewEmptyTensor[float32](ort.NewShape(1, 56, 8400))
if err != nil {
runtime.Close()
return nil, fmt.Errorf("create pose output tensor: %w", err)
}
runtime.session, err = ort.NewAdvancedSession(
modelPath,
[]string{"images"},
[]string{"output0"},
[]ort.Value{runtime.input},
[]ort.Value{runtime.output},
nil,
)
if err != nil {
runtime.Close()
return nil, fmt.Errorf("open pose ONNX session: %w", err)
}
return runtime, nil
}
func (runtime *Runtime) Run(input []float32) ([]float32, error) {
if runtime == nil || runtime.closed {
return nil, fmt.Errorf("ONNX Runtime session is closed")
}
if len(input) != poseInputCount {
return nil, fmt.Errorf("pose input length = %d, want %d", len(input), poseInputCount)
}
copy(runtime.input.GetData(), input)
if err := runtime.session.Run(); err != nil {
return nil, fmt.Errorf("run pose ONNX session: %w", err)
}
output := runtime.output.GetData()
if len(output) != poseOutputCount {
return nil, fmt.Errorf("pose output length = %d, want %d", len(output), poseOutputCount)
}
return append([]float32(nil), output...), nil
}
func (runtime *Runtime) Close() {
if runtime == nil || runtime.closed {
return
}
if runtime.session != nil {
_ = runtime.session.Destroy()
runtime.session = nil
}
if runtime.output != nil {
_ = runtime.output.Destroy()
runtime.output = nil
}
if runtime.input != nil {
_ = runtime.input.Destroy()
runtime.input = nil
}
if runtime.initialized {
_ = ort.DestroyEnvironment()
runtime.initialized = false
}
runtime.closed = true
}
// RunPose executes the locked YOLO pose ONNX graph once using the CPU runtime.
// The caller supplies absolute model and DLL paths so no camera credential or
// machine-specific path is retained in V2 configuration or source.
@@ -19,45 +103,10 @@ func RunPose(modelPath, runtimeDLLPath string, input []float32) ([]float32, erro
if len(input) != poseInputCount {
return nil, fmt.Errorf("pose input length = %d, want %d", len(input), poseInputCount)
}
ort.SetSharedLibraryPath(runtimeDLLPath)
if err := ort.InitializeEnvironment(); err != nil {
return nil, fmt.Errorf("initialize ONNX Runtime: %w", err)
}
defer func() { _ = ort.DestroyEnvironment() }()
inputTensor, err := ort.NewTensor(ort.NewShape(1, 3, poseInputSize, poseInputSize), input)
runtime, err := OpenRuntime(modelPath, runtimeDLLPath)
if err != nil {
return nil, fmt.Errorf("create pose input tensor: %w", err)
return nil, err
}
defer func() { _ = inputTensor.Destroy() }()
outputTensor, err := ort.NewEmptyTensor[float32](ort.NewShape(1, 56, 8400))
if err != nil {
return nil, fmt.Errorf("create pose output tensor: %w", err)
}
defer func() { _ = outputTensor.Destroy() }()
session, err := ort.NewAdvancedSession(
modelPath,
[]string{"images"},
[]string{"output0"},
[]ort.Value{inputTensor},
[]ort.Value{outputTensor},
nil,
)
if err != nil {
return nil, fmt.Errorf("open pose ONNX session: %w", err)
}
defer func() { _ = session.Destroy() }()
if err := session.Run(); err != nil {
return nil, fmt.Errorf("run pose ONNX session: %w", err)
}
output := outputTensor.GetData()
if len(output) != poseOutputCount {
return nil, fmt.Errorf("pose output length = %d, want %d", len(output), poseOutputCount)
}
return append([]float32(nil), output...), nil
defer runtime.Close()
return runtime.Run(input)
}
+10
View File
@@ -14,3 +14,13 @@ func TestRunPoseRejectsWrongInputLengthBeforeLoadingRuntime(t *testing.T) {
t.Fatalf("RunPose error = %q, want input length error", err)
}
}
func TestOpenRuntimeReportsMissingDLL(t *testing.T) {
_, err := OpenRuntime("missing.onnx", "missing.dll")
if err == nil {
t.Fatal("OpenRuntime accepted a missing ONNX Runtime DLL")
}
if !strings.Contains(err.Error(), "initialize ONNX Runtime") {
t.Fatalf("OpenRuntime error = %q", err)
}
}
+6 -35
View File
@@ -1,43 +1,14 @@
package spike
import "fmt"
import "silverpose/v2/internal/pose"
// LetterboxBGRToNCHW converts one packed BGR frame into the RGB, CHW,
// float32 tensor expected by the locked 640-pixel YOLO pose ONNX model.
//
// It intentionally uses nearest-neighbour scaling for this Spike. T-303
// must replace or validate this preprocessing against the V1 implementation
// before it becomes the V2 production preprocessing path.
// T-303 aligned the implementation with the fixed-shape Ultralytics
// letterbox used by the V1/ONNX baseline. New V2 code should import the pose
// package directly to retain the returned coordinate transform.
func LetterboxBGRToNCHW(frame []byte, width, height, target int) ([]float32, error) {
if width <= 0 || height <= 0 || target <= 0 {
return nil, fmt.Errorf("frame width, height and target must be positive")
}
if len(frame) != width*height*3 {
return nil, fmt.Errorf("BGR frame length = %d, want %d", len(frame), width*height*3)
}
scaleWidth := target
scaleHeight := height * target / width
if scaleHeight > target {
scaleHeight = target
scaleWidth = width * target / height
}
padX := (target - scaleWidth) / 2
padY := (target - scaleHeight) / 2
plane := target * target
input := make([]float32, 3*plane)
for y := 0; y < scaleHeight; y++ {
sourceY := y * height / scaleHeight
for x := 0; x < scaleWidth; x++ {
sourceX := x * width / scaleWidth
source := (sourceY*width + sourceX) * 3
destination := (padY+y)*target + padX + x
input[destination] = float32(frame[source+2]) / 255.0
input[plane+destination] = float32(frame[source+1]) / 255.0
input[2*plane+destination] = float32(frame[source]) / 255.0
}
}
return input, nil
input, _, err := pose.PreprocessBGR(frame, width, height, target)
return input, err
}
+5 -4
View File
@@ -16,8 +16,9 @@ func TestLetterboxBGRToNCHWPlacesPixelInScaledImage(t *testing.T) {
if got := len(input); got != 3*plane {
t.Fatalf("input length = %d, want %d", got, 3*plane)
}
if got := input[2*plane+159*640+320]; got != 0 {
t.Fatalf("top padding blue channel = %v, want 0", got)
padding := float32(114.0 / 255.0)
if got := input[2*plane+159*640+320]; got != padding {
t.Fatalf("top padding blue channel = %v, want %v", got, padding)
}
if got := input[0*plane+320*640+320]; got != 0 {
t.Fatalf("red channel = %v, want 0", got)
@@ -25,8 +26,8 @@ func TestLetterboxBGRToNCHWPlacesPixelInScaledImage(t *testing.T) {
if got := input[1*plane+320*640+320]; got != 0 {
t.Fatalf("green channel = %v, want 0", got)
}
if got := input[2*plane+320*640+320]; got != 1 {
t.Fatalf("blue channel = %v, want 1", got)
if got := input[2*plane+320*640+320]; got != float32(128.0/255.0) {
t.Fatalf("blue channel = %v, want cv2 INTER_LINEAR value 128/255", got)
}
}