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The assertion was triggered by the case of multiple NaNs occurring in the threshold list, e.g. thresholds=[nan, nan, nan, nan, nan, nan, nan, nan, 0.14626915256182352, 0.17571373816047395, 0.1982034333050251, 0.22260631062090397, 0.24383812966558294, 0.2603936386294663, 0.2848243469541723, 0.3308456484003034, 0.3668973971960257, 0.3824963077902794, 0.39220086903106877, 0.41123709362000227, 0.4171593593699591, 0.42581389248371126, 0.4534411536795752, 0.4758617915213108, 0.5016027579412741, 0.5305963274505403, 0.5490754961967468, 0.5555436402559281, 0.5697322227060795, 0.5863827850956184, 0.5895171731710434, 0.5930080786347389, 0.5991135852776776, 0.6053177920034692, 0.6182821939388911, 0.6370792790101125,0.6611657304068407, 0.6718776701018214, 0.6763528749346733, 0.7061878126114607] and num_thresholds=40.
Not sure about the purpose of this sanity check. Is multiple NaNs occurence an invalid situation here?
P.s. Temporally I fixed this by changing L160 to:
Hi, I met a problem when using the tracking evaluation, with this assertion triggered:
nuscenes-devkit/python-sdk/nuscenes/eval/tracking/algo.py
Lines 158 to 161 in 05d05b3
The assertion was triggered by the case of multiple NaNs occurring in the threshold list, e.g.
thresholds=[nan, nan, nan, nan, nan, nan, nan, nan, 0.14626915256182352, 0.17571373816047395, 0.1982034333050251, 0.22260631062090397, 0.24383812966558294, 0.2603936386294663, 0.2848243469541723, 0.3308456484003034, 0.3668973971960257, 0.3824963077902794, 0.39220086903106877, 0.41123709362000227, 0.4171593593699591, 0.42581389248371126, 0.4534411536795752, 0.4758617915213108, 0.5016027579412741, 0.5305963274505403, 0.5490754961967468, 0.5555436402559281, 0.5697322227060795, 0.5863827850956184, 0.5895171731710434, 0.5930080786347389, 0.5991135852776776, 0.6053177920034692, 0.6182821939388911, 0.6370792790101125,0.6611657304068407, 0.6718776701018214, 0.6763528749346733, 0.7061878126114607]
andnum_thresholds=40
.Not sure about the purpose of this sanity check. Is multiple NaNs occurence an invalid situation here?
P.s. Temporally I fixed this by changing L160 to:
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