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Don't fail on invalid class IDs for TensorRT detector #8438

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merged 3 commits into from
Nov 4, 2023
Merged

Don't fail on invalid class IDs for TensorRT detector #8438

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0e3db1a
Don't fail on invalid class IDs
NickM-27 Nov 2, 2023
a22322b
Fix whitespace
NickM-27 Nov 2, 2023
473f1f8
Make log warning
NickM-27 Nov 3, 2023
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11 changes: 11 additions & 0 deletions frigate/detectors/plugins/tensorrt.py
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Original file line number Diff line number Diff line change
Expand Up @@ -293,6 +293,16 @@ def detect_raw(self, tensor_input):
# raw_detections: Nx7 numpy arrays of
# [[x, y, w, h, box_confidence, class_id, class_prob],

# throw out any detections with negative class IDs
valid_detections = []
for r in raw_detections:
if r[5] >= 0:
valid_detections.append(r)
else:
logger.warning(f"Found TensorRT detection with invalid class id {r}")

raw_detections = valid_detections

# Calculate score as box_confidence x class_prob
raw_detections[:, 4] = raw_detections[:, 4] * raw_detections[:, 6]
# Reorder elements by the score, best on top, remove class_prob
Expand All @@ -303,6 +313,7 @@ def detect_raw(self, tensor_input):
ordered[:, 3] = np.clip(ordered[:, 3] + ordered[:, 1], 0, 1)
# put result into the correct order and limit to top 20
detections = ordered[:, [5, 4, 1, 0, 3, 2]][:20]

# pad to 20x6 shape
append_cnt = 20 - len(detections)
if append_cnt > 0:
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