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7d9c5f3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 | """Unit tests for shot segmentation (slice A1, BRIEF 13/08/2026) -- on a
SYNTHETIC track.
They check the boundary-cutting CORE (``segment_shots`` -- pure numpy, runs
on the app venv with no cv2 and no torch): a single shot, several shots,
"every ball is still" rather than the cue alone, coasting and lost detections
mid-shot, a lost scene, a static video that must not invent phantom shots,
and the boundary padding. They do NOT check YOLO or decoding (``segment_video``
was accepted on a real VOD at gate A1.2) -- the same split of duties as
test_broadcast_analytics against gate G-24.3.
The physical thresholds in these scenarios come from the set agreed on 11/08
(imported from broadcast): a shot runs faster than V_INIT 0.25 m/s, and a
still ball jitters ~2mm/frame (the p99 apparent speed of 55 mm/s at 30fps --
exactly the measurement noise seen in P0).
"""
from __future__ import annotations
import numpy as np
import pytest
from poolcoach_cv.broadcast import V_INIT_MPS, V_STILL_MPS
from poolcoach_cv.segmentation import (BLIND_MAX_S, PAD_POST_S, PAD_PRE_S,
STILL_WIN_S, segment_shots)
FPS = 30.0
def _pos_at(t: float, p0, segs):
"""Position from a motion schedule: ``segs`` = [(t_a, t_b, p_a, p_b)],
each a constant-speed straight line; outside a segment the ball rests at
the nearest end point."""
x, y = p0
for t_a, t_b, p_a, p_b in segs:
if t < t_a:
break
if t >= t_b:
x, y = p_b
else:
f = (t - t_a) / (t_b - t_a)
x = p_a[0] + (p_b[0] - p_a[0]) * f
y = p_a[1] + (p_b[1] - p_a[1]) * f
return x, y
def build(dur_s, cue_p0, cue_segs=(), balls=(), cue_missing=(), blind=(),
jitter=0.0, seed=7):
"""A synthetic 30fps track -> (rows, others) in exactly the shape
segment_shots expects.
``balls``: a tuple (x, y) for a still ball, or a dict
{"p0": (x,y), "segs": [...]} for a ball with its own schedule.
``cue_missing``/``blind``: lists of (t_a, t_b) -- the stretch where the
cue has no detection / the stretch where NO ball is seen (a lost scene).
"""
rng = np.random.default_rng(seed)
rows, others = [], []
n = int(round(dur_s * FPS)) + 1
for i in range(n):
t = i / FPS
name = f"{i:05d}"
is_blind = any(a <= t < b for a, b in blind)
cue_gone = is_blind or any(a <= t < b for a, b in cue_missing)
cx, cy = _pos_at(t, cue_p0, cue_segs)
if jitter:
cx += rng.normal(0, jitter)
cy += rng.normal(0, jitter)
rows.append({
"frame_file": name, "t_s": round(t, 6),
"covered": 0 if cue_gone else 1,
"table_x_m": "" if cue_gone else cx,
"table_y_m": "" if cue_gone else cy,
# img_diff is a constant 1.0 (a "live" table) so the duplicate
# frame rule of find_dup_frames never fires -- that one has its
# own test over in broadcast
"img_diff": 1.0 if i else -1.0,
})
if is_blind:
continue
for spec in balls:
if isinstance(spec, dict):
bx, by = _pos_at(t, spec["p0"], spec["segs"])
else:
bx, by = spec
if jitter:
bx += rng.normal(0, jitter)
by += rng.normal(0, jitter)
others.append({"frame_file": name, "t_s": round(t, 6),
"x_m": bx, "y_m": by})
return rows, others
STILL_BALLS = [(0.4, 2.0), (0.9, 1.8), (0.6, 0.4)]
# ------------------------------------------------------------- a single shot
def test_a_single_shot_is_ok_with_the_right_boundaries():
rows, others = build(
6.0, cue_p0=(0.3, 0.5),
cue_segs=[(1.0, 2.0, (0.3, 0.5), (0.9, 1.7))], # ~1.34 m/s
balls=STILL_BALLS)
out = segment_shots(rows, others)
assert [s["status"] for s in out["shots"]] == ["ok"]
s = out["shots"][0]
assert s["idx"] == 1
# the onset follows the V_INIT_RUN rule (a step above V_INIT) -- caught
# at the moment motion starts
assert s["t_onset_s"] == pytest.approx(1.0, abs=0.15)
# settle lags the true stop (2.0s) by at most one chord window
assert 2.0 <= s["t_settle_s"] <= 2.0 + 2 * STILL_WIN_S
# padding at both ends, still inside the video
assert s["t_start_s"] == pytest.approx(s["t_onset_s"] - PAD_PRE_S,
abs=0.05)
assert s["t_settle_s"] < s["t_end_s"] <= s["t_settle_s"] + PAD_POST_S
assert 0.0 <= s["t_start_s"] < s["t_onset_s"]
def test_a_static_video_invents_no_phantom_shot():
"""A still table for 10s with 2mm/frame detection jitter (about the p99
apparent speed of 55mm/s in P0) -- not one shot may come out."""
rows, others = build(10.0, cue_p0=(0.5, 1.0), balls=STILL_BALLS,
jitter=0.002)
out = segment_shots(rows, others)
assert out["shots"] == []
def test_an_empty_track_raises_valueerror():
with pytest.raises(ValueError):
segment_shots([])
# ------------------------------------------------------------ several shots
def test_three_shots_come_out_in_order():
segs = [(1.0, 2.0, (0.3, 0.5), (0.9, 1.7)),
(5.0, 6.2, (0.9, 1.7), (0.4, 0.8)),
(10.0, 10.8, (0.4, 0.8), (1.0, 2.2))]
rows, others = build(14.0, cue_p0=(0.3, 0.5), cue_segs=segs,
balls=STILL_BALLS)
out = segment_shots(rows, others)
shots = out["shots"]
assert [s["status"] for s in shots] == ["ok", "ok", "ok"]
assert [s["idx"] for s in shots] == [1, 2, 3]
for s, (t_a, _b, _pa, _pb) in zip(shots, segs):
assert s["t_onset_s"] == pytest.approx(t_a, abs=0.15)
# the coarse boundaries increase and never overlap
for a, b in zip(shots, shots[1:]):
assert a["t_settle_s"] <= b["t_onset_s"]
# the padding must not swallow the neighbouring shot's motion
assert a["t_end_s"] <= b["t_onset_s"] + 1e-6
assert b["t_start_s"] >= a["t_settle_s"] - 1e-6
def test_two_shots_back_to_back_still_separate():
"""Shot 2 breaks the moment the table has settled -- after closing a shot
the detector must arm again immediately (not wait for another still
window) or it misses the next onset."""
segs = [(1.0, 2.0, (0.3, 0.5), (0.9, 1.7)),
(3.2, 4.0, (0.9, 1.7), (0.5, 0.9))]
rows, others = build(7.0, cue_p0=(0.3, 0.5), cue_segs=segs,
balls=STILL_BALLS)
out = segment_shots(rows, others)
assert [s["status"] for s in out["shots"]] == ["ok", "ok"]
assert out["shots"][1]["t_onset_s"] == pytest.approx(3.2, abs=0.15)
# --------------------------------------- "EVERY ball is still", not just cue
def test_a_still_rolling_target_ball_keeps_the_shot_open():
"""The cue stops at 2.0 but the target ball rolls on until 4.0 -- settle
has to wait for EVERY ball (the boundary definition of design section 4)
and must not close early on the cue alone."""
rolling = {"p0": (0.9, 1.8),
"segs": [(2.0, 4.0, (0.9, 1.8), (0.5, 1.2))]} # ~0.36 m/s
rows, others = build(
7.0, cue_p0=(0.3, 0.5),
cue_segs=[(1.0, 2.0, (0.3, 0.5), (0.9, 1.7))],
balls=[rolling, (0.4, 2.0)])
out = segment_shots(rows, others)
assert [s["status"] for s in out["shots"]] == ["ok"]
assert out["shots"][0]["t_settle_s"] >= 4.0 - 0.1
# ---------------------------------------- coasting / lost detection mid-shot
def test_a_short_cue_detection_gap_does_not_split_the_shot():
rows, others = build(
6.0, cue_p0=(0.3, 0.5),
cue_segs=[(1.0, 3.0, (0.3, 0.5), (1.1, 2.3))],
balls=STILL_BALLS, cue_missing=[(1.8, 2.1)])
out = segment_shots(rows, others)
assert [s["status"] for s in out["shots"]] == ["ok"]
assert out["shots"][0]["t_settle_s"] >= 3.0 - 0.1
def test_a_cue_gap_longer_than_the_window_still_does_not_close_early():
"""The cue disappears for a WHOLE chord window while in flight (someone
standing in front of it -- the shot_07 lesson): every other ball is still,
but that is no licence to declare "settled" while the main witness is
absent."""
rows, others = build(
6.0, cue_p0=(0.3, 0.5),
cue_segs=[(1.0, 3.0, (0.3, 0.5), (1.1, 2.3))],
balls=STILL_BALLS, cue_missing=[(1.5, 2.5)])
out = segment_shots(rows, others)
assert [s["status"] for s in out["shots"]] == ["ok"]
s = out["shots"][0]
# it must not close while the cue is invisible (1.5-2.5)
assert s["t_settle_s"] >= 3.0 - 0.1
# ------------------------------------------------- a lost scene (section 5)
def test_a_lost_scene_mid_shot_is_reported_and_not_swallowed():
rows, others = build(
9.0, cue_p0=(0.3, 0.5),
cue_segs=[(1.0, 2.0, (0.3, 0.5), (0.9, 1.7)),
(6.0, 6.8, (0.9, 1.7), (0.5, 1.0))],
balls=STILL_BALLS, blind=[(1.5, 4.0)])
out = segment_shots(rows, others)
shots = out["shots"]
assert len(shots) == 2
assert shots[0]["status"] == "error"
assert "scene was lost" in shots[0]["reason"]
# once the scene is back and the table settles, the next shot is caught
# as usual
assert shots[1]["status"] == "ok"
assert shots[1]["t_onset_s"] == pytest.approx(6.0, abs=0.15)
def test_a_blind_gap_under_the_threshold_does_not_break_the_shot():
"""A short detection gap (< BLIND_MAX_S) mid-shot -- a stutter in the
video or a brief occlusion -- must not split the shot in two or report a
lost scene."""
assert BLIND_MAX_S >= 0.5
rows, others = build(
6.0, cue_p0=(0.3, 0.5),
cue_segs=[(1.0, 3.0, (0.3, 0.5), (1.1, 2.3))],
balls=STILL_BALLS, blind=[(1.8, 2.1)])
out = segment_shots(rows, others)
assert [s["status"] for s in out["shots"]] == ["ok"]
def test_a_video_that_ends_mid_shot_is_reported():
rows, others = build(
4.5, cue_p0=(0.3, 0.5),
cue_segs=[(4.0, 6.0, (0.3, 0.5), (0.9, 1.7))],
balls=STILL_BALLS)
out = segment_shots(rows, others)
assert len(out["shots"]) == 1
assert out["shots"][0]["status"] == "error"
assert "video ends mid-shot" in out["shots"][0]["reason"]
# ---------------------------------------------------------- boundary padding
def test_the_padding_never_runs_past_the_video():
rows, others = build(
3.0, cue_p0=(0.3, 0.5),
cue_segs=[(0.8, 1.6, (0.3, 0.5), (0.9, 1.7))],
balls=STILL_BALLS)
out = segment_shots(rows, others)
assert len(out["shots"]) == 1
s = out["shots"][0]
assert s["t_start_s"] >= 0.0
assert s["t_end_s"] <= 3.0 + 1e-6
assert s["t_start_s"] < s["t_onset_s"] < s["t_settle_s"] <= s["t_end_s"]
def test_the_agreed_thresholds_are_not_redefined():
"""Pins the "use the thresholds agreed on 11/08 as they are" contract:
segmentation has to read V_STILL/V_INIT from broadcast rather than keep
its own copy, which could drift."""
import poolcoach_cv.broadcast as bc
import poolcoach_cv.segmentation as seg
assert seg.V_STILL_MPS is bc.V_STILL_MPS
assert seg.V_INIT_MPS is bc.V_INIT_MPS
assert seg.VMAX_MPS is bc.VMAX_MPS
assert V_STILL_MPS == 0.055 and V_INIT_MPS == 0.25
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