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Dear All,
When i training my own dataset(229 category logo, totally 3w+ images) using PVANet, i got mAP = 0.9672, **indeed it is very high. PVANet is indeed so good**, the original R-FCN is 0.953(i …
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This issue collects a wishlist of de-novo implementations of torch based models.
Anyone can suggest models to implement, we will have to prioritize along a impact/cost analysis.
FYI @fnhirwa.
C…
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hi,now i want to run the demo,just test,in c++,can you give some advice
tks
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https://groups.google.com/forum/#!topic/pypower/0WD2fz9PqRQ
``` #python
>>> from pypower.api import runopf
>>> runopf(ppc)
PYPOWER Version 4.0.1, 14-Jul-2011 -- AC Optimal Power Flow
Traceback (most …
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在ubuntu 配置了R-FCN的python 接口,也简单训练rfcn_end2end_ohem.sh(ResNet101),在voc数据集上精度跟github上大致相同,但是在将基础网络修改为resnext50-32x4d时,参考\det\faster_rcnn\models\pascal_voc\resnext50-32x4d工程下resnext50网络定义文件,并将网盘中resne…
hp-93 updated
6 years ago
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Really excellent work!
In fact, we have tried to integerate the ResNeSt backbone in our own code-base [openseg.pytorch](https://github.com/openseg-group/openseg.pytorch).
Here is the backbone co…
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Perhaps I should reopen an issue and describe it [here](https://github.com/Gallicchio-Lab/AToM-OpenMM/issues/21#issuecomment-2212364700).
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Now I am training the 4th R-FCN stage (totally 4 stage, with OHEM, 229 category LOGOs), and
I met a situation that the highest training accuracy(0.949) happened in Iteration 0 (that means just
use t…
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Okay. Here we go with `gnlm`. We are using roxygen. Initial R CMD check results:
```
==> devtools::check(document = FALSE)
Setting env vars --------------------------------------------------…
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this is the error information of train:
E:\cp\light\fc4-master>python3 fc4.py train model
2019-03-19 16:34:36.920164: I T:\src\github\tensorflow\tensorflow\core\platform\cpu_feature_guard.cc:141] Yo…