How can I display the confidence score for the detected objects alongside the bounding box visualisation and object class ID and distance with the custom detector?
Hello @a11s,
You can mimic how we display the class ID, in the render2D call in the main loop.
It’s a call to cv2.putText, placing some text at some coordinates.
You can add the confidence display here.
Hi @JPlou, thanks for the pointer.
I have tried replacing the following lines in the render_2D
function of tracking_viewer.py:
text = "class " + str(obj.raw_label)
text_color = (255, 255, 255, 255)
cv2.putText(left_display, text, text_position, cv2.FONT_HERSHEY_COMPLEX_SMALL, 0.5, text_color, 1)
With the following lines:
if isinstance(obj, sl.CustomBoxObjectData):
label = obj.label
probability = obj.probability
text = f"class {obj.raw_label} ({probability:.2f})"
else:
text = "class " + str(obj.raw_label)text_color = (255, 255, 255, 255)
cv2.putText(left_display, text, text_position, cv2.FONT_HERSHEY_COMPLEX_SMALL, 0.5, text_color, 1)
The code runs fine, but the confidence/probability score is still not showing. Where am I going wrong?
By the time it reaches the viewer, the obj
that is displayed is ingested by the SDK, and processed into an ObjectData
.
You should try displaying the confidence of ObjectData instead of the probability of CustomBoxObjectData.