Comments (3)
Hi!
The confidence of each bounding box that I considered is not the qvalue for the the action that generated that bb, but the qvalue of the trigger action in that moment. I don't know if you are doing this.
Miriam
from detection-2016-nipsws.
Hi !
Sorry for replying late. I tried many times. At first, I use wrong confidence, then i trans to qval of trigger action in that moment. It improved. But still not ideal. I wonder to know if you take all iou>0.5 as TP or one ground truth only has one proposal and take that as tp. Here is the precision-recall text i got. The first line is precision, and the second is recall. The threshold is increasing from top to bottom.
[0.22499416433239963, 0.2314542483660131]
[0.22682072829131653, 0.2265522875816994]
[0.221260458206271, 0.22151067323481122]
[0.22318398623817343, 0.22151067323481122]
[0.2238075297120523, 0.2209380234505863]
[0.26063829787234044, 0.22056737588652484]
[0.25732600732600736, 0.21547619047619052]
[0.2740963855421687, 0.21696787148594376]
[0.2901678657074341, 0.2267386091127098]
[0.3089080459770115, 0.23836206896551726]
[0.3157894736842105, 0.25771929824561407]
[0.3227848101265822, 0.2550632911392404]
[0.32575757575757575, 0.26111111111111107]
[0.3157894736842105, 0.2570175438596491]
[0.30851063829787234, 0.2457446808510638]
[0.3125, 0.23874999999999996]
[0.3088235294117647, 0.23676470588235296]
[0.35714285714285715, 0.26964285714285713]
[0.375, 0.27291666666666664]
[0.36363636363636365, 0.28863636363636364]
[0.3333333333333333, 0.24166666666666664]
[0.25, 0.146875]
[0.2857142857142857, 0.16785714285714287]
[0.4444444444444444, 0.2611111111111111]
[0.5, 0.29375]
[0.5, 0.29375]
[0.42857142857142855, 0.19285714285714287]
[0.25, 0.0625]
[0.25, 0.0625]
[0.3333333333333333, 0.08333333333333333]
[0.0, 0.0]
[0.0, 0.0]
from detection-2016-nipsws.
From all the regions selected during one sequence, I analyzed if any of them had more than 0.5 intersection over union with any object of the ground truth, and that is a TP, so one gt object only has one TP.
from detection-2016-nipsws.
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from detection-2016-nipsws.