Comments (8)
Here.
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Thanks for your guidance.
I get this matrix.
[[ 1.0000, 0.3513, 0.5950, 0.2744, -1.1041, -0.5563, 0.6782],
[ 1.0000, 0.3513, 0.9942, 0.0537, -0.4085, 0.0901, 0.4443],
[ 1.0000, 0.3513, 0.9506, -0.2649, 0.2023, 0.9700, 0.1097],
[ 1.0000, 0.3513, 0.5977, -1.4024, 1.1435, 2.0329, -0.3219],
[ 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000]]
The sixth column represents the confidence score, if you follow your network.
But the confidence score has negative numbers and numbers greater than one.
I would be grateful if you could explain to me what this matrix means.
:)
from polylanenet.
Here's what each column stands for:
Column 0. Confidence score: It is not the raw value, because it is overwritten here.
Column 1. Top-y position (0 is top of the image and 1 is bottom)
Column 2. Bottom-y position
Column 3. y³ coefficient
Column 4. y² coefficient
Column 5. y¹ coefficient
Column 6. y⁰ coefficient
from polylanenet.
Can I get the confidence score on this picture ?
from polylanenet.
What do you mean?
from polylanenet.
from polylanenet.
I'm not sure if I understood you correctly, but, as I said in a previous message, the confidence score is the first column of the outputs.
from polylanenet.
Thanks for your patient guidance again!
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