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Issues list

Some problem in comprehending your paper.
#109 opened Jun 22, 2024 by onbigion13
NameError: name 'resnet_v1_101_flownet_rfcn' is not defined
#95 opened May 24, 2021 by poppinjie
1
that means mxnet cannot find cblas library, please install atlas/openblas correctly
#94 opened Dec 26, 2020 by lllllmaster-lulllll
Help in Training Custom Dataset
#93 opened Sep 23, 2020 by AJ-RR
filtered 222946 roidb entries: 222946 -> 0
#92 opened Sep 22, 2020 by Gf1641693948
I think there is a little error at lib/utils/image.py!
#91 opened Aug 4, 2020 by tissuemother
install error
#90 opened Jul 19, 2020 by Erik-Y
Running in Python 3
#89 opened Apr 22, 2020 by harish-vnkt
Train with a different backbone (Resnet-50 or ResNet-18)
#88 opened Mar 10, 2020 by alphjheon
question about the current predictor
#87 opened Aug 19, 2019 by KevinQian97
1
too large launch parameter: AddTakeGrad[130560,1], [64,1,1]
#86 opened Jul 7, 2019 by KevinQian97
Question about VID_train_15frames.txt
#85 opened Jun 27, 2019 by KevinQian97
'MutableModule' object has no attribute 'items'
#84 opened Jun 20, 2019 by gtfaiwxm
For real-time object detection purposes
#82 opened May 14, 2019 by gnefihs
How to evaluate inference speed / fps in table 4?
#80 opened Apr 12, 2019 by kindloaf
How to use overlap thresh（IoU）？
#79 opened Apr 9, 2019 by Feywell
Question about the number of training And the result of mAP
#78 opened Apr 1, 2019 by xunhen
How to evaluate the inference speed?
#77 opened Mar 8, 2019 by gbyy422990
1
too large launch parameter: AddTakeGrad[142000,1], [64,1,1]
#76 opened Mar 6, 2019 by xuwentang
**TypeError: _update_params_on_kvstore() takes exactly 4 arguments (3 given)**
#75 opened Mar 1, 2019 by xuwentang
2
TypeError: '_Stat' object does not support indexing
#73 opened Jan 30, 2019 by FCInter
1
is it a bug？
#72 opened Dec 25, 2018 by liurongdev
cannot get good training result
#71 opened Dec 21, 2018 by FCInter
2
研究学习交流QQ群（Learning exchange group）
#70 opened Dec 20, 2018 by liurongdev
errors with run test
#69 opened Dec 1, 2018 by xuwentang
ProTip! Exclude everything labeled bug with -label:bug.