I used part of train dataset to evalute my detection results, but it seems doesn't work.
ValueError
cannot reshape array of size 35 into shape (6,5)
File "/home/tartisan/work/github/dataset-api/3d_detection_tracking/eval.py", line 334, in assignPair
subPair = pair[mask].reshape(subShape)
File "/home/tartisan/work/github/dataset-api/3d_detection_tracking/eval.py", line 373, in seekBijection
framePairs[:gtNum, dtInds] = np.multiply(assignPair(score, pair), ~invalidInds)
File "/home/tartisan/work/github/dataset-api/3d_detection_tracking/eval.py", line 456, in evaluate
typeFilterFlag, gtCubeTypes[objType], dtCubeTypes[objType])
File "/home/tartisan/work/github/dataset-api/3d_detection_tracking/eval.py", line 488, in main
evaluate(args.modeType, args.dataType, dtPath, evalList, args.objTypes, args.minScores, objIdFlag, args.minIoUs, args.typeFilterFlag, gts, args.apSampleNum)
File "/home/tartisan/work/github/dataset-api/3d_detection_tracking/eval.py", line 493, in <module>
main()
I used part of train dataset to evalute my detection results, but it seems doesn't work.