def test_ball_distance(self):
frame1 = Frame(frame_id=0,
timestamp=10,
home_players_coordinates={},
away_players_coordinates={},
ball_coordinates=Point(x=0, y=0))
frame2 = Frame(frame_id=1,
timestamp=10,
home_players_coordinates={},
away_players_coordinates={},
ball_coordinates=Point(x=0, y=0))
munkres_matcher = MunkresMatcher(reference_frame=frame1)
score = munkres_matcher.match(frame2)
assert score == 100
frame3 = Frame(frame_id=0,
timestamp=10,
home_players_coordinates={},
away_players_coordinates={},
ball_coordinates=Point(x=0, y=1))
score = munkres_matcher.match(frame3)
assert score == 99.5
frame4 = Frame(frame_id=0,
timestamp=10,
home_players_coordinates={},
away_players_coordinates={},
ball_coordinates=Point(x=0, y=10))
score = munkres_matcher.match(frame4)
assert score == 94.35614381022528
def test_min_score(self):
query_frame = Frame(
frame_id=0,
timestamp=0,
ball_coordinates=Point(x=0, y=0),
home_players_coordinates={},
away_players_coordinates={}
)
dataset = TrackingDataset(
dataset_id="test",
frames=[
# this frame will score less than 90
replace(
query_frame,
frame_id=1,
ball_coordinates=Point(x=0, y=68)
),
replace(
query_frame,
frame_id=3
)
]
)
resultset = SearchEngine.search(
dataset,
matcher=MunkresMatcher(query_frame),
min_score=90
)
assert resultset.results == [Result(frame_id=3, score=100)]
def test_single_match(self):
query_frame = Frame(
frame_id=0,
timestamp=0,
ball_coordinates=Point(x=0, y=0),
home_players_coordinates={},
away_players_coordinates={}
)
dataset = TrackingDataset(
dataset_id="test",
frames=[
replace(
query_frame,
frame_id=1
)
]
)
resultset = SearchEngine.search(
dataset,
matcher=MunkresMatcher(query_frame)
)
assert resultset.results == [Result(frame_id=1, score=100)]
def test_single_frame(self):
search_service = self._init_search_service()
search_service.repository.save(
TrackingDataset(dataset_id="test",
frames=[
Frame(frame_id=1,
timestamp=0,
ball_coordinates=Point(x=0, y=0),
home_players_coordinates={},
away_players_coordinates={}),
Frame(frame_id=2,
timestamp=0.1,
ball_coordinates=Point(x=1, y=0),
home_players_coordinates={},
away_players_coordinates={})
]))
resultset = search_service.search_by_frame("test", 1)
assert resultset.results == [Result(frame_id=2, score=99.5)]
def test_same_frame(self):
repository = MemoryRepository()
repository.save(
TrackingDataset(dataset_id="test",
frames=[
Frame(frame_id=1,
timestamp=0,
ball_coordinates=Point(x=0, y=0),
home_players_coordinates={},
away_players_coordinates={})
]))
search_service = self._init_search_service(repository=repository)
resultset = search_service.search_by_frame("test", 1)
assert len(resultset.results) == 0
def test_empty_resultset(self):
query_frame = Frame(
frame_id=0,
timestamp=0,
ball_coordinates=Point(x=0, y=0),
home_players_coordinates={},
away_players_coordinates={}
)
dataset = TrackingDataset(
dataset_id="test",
frames=[]
)
resultset = SearchEngine.search(
dataset,
matcher=MunkresMatcher(query_frame)
)
assert len(resultset.results) == 0
def parse(self,
home_data: str,
away_data: str,
sample_rate=1 / 25,
**kwargs) -> TrackingDataset:
frames = []
home_jersey_numbers = []
away_jersey_numbers = []
for line_idx, (home_line, away_line) in enumerate(
zip(home_data.splitlines(keepends=False),
away_data.splitlines(keepends=False))):
if line_idx == 0 or line_idx == 2:
continue
home_period, home_frame_id, home_time, *home_players, home_ball_x, home_ball_y = home_line.split(
",")
away_period, away_frame_id, away_time, *away_players, away_ball_x, away_ball_y = away_line.split(
",")
if line_idx == 1:
home_jersey_numbers = [
int(number) for number in home_players[::2]
]
away_jersey_numbers = [
int(number) for number in away_players[::2]
]
continue
if home_frame_id != away_frame_id:
raise Exception(
f"Input file mismatch (frame_id): {home_frame_id} != {away_frame_id}"
)
if home_ball_x != away_ball_x or home_ball_y != away_ball_y:
raise Exception(
f"Input file mismatch (ball): ({home_ball_x}, {home_ball_y}) != ({away_ball_x}, {away_ball_y})"
)
if (line_idx - 3) % (1 / sample_rate) != 0:
continue
if home_ball_x == 'NaN' or away_ball_y == 'NaN':
continue
frame = Frame(
frame_id=int(home_frame_id),
timestamp=float(home_time),
home_players_coordinates={
home_jersey_numbers[int(i / 2)]:
self._create_point(home_players[i], home_players[i + 1])
for i in range(0, len(home_players), 2)
if home_players[i] != 'NaN'
},
away_players_coordinates={
away_jersey_numbers[int(i / 2)]:
self._create_point(away_players[i], away_players[i + 1])
for i in range(0, len(away_players), 2)
if away_players[i] != 'NaN'
},
ball_coordinates=self._create_point(home_ball_x, away_ball_y))
frames.append(frame)
return TrackingDataset(frames=frames, **kwargs)