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A simplified implemention of Faster R-CNN that replicate performance from origin paper

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I use your repo to train on voc07 with pytorch 1.4.0, but I tried for several times and can only get a map as 63, even cannot reach 65. I...

https://github.com/chenyuntc/simple-faster-rcnn-pytorch/blob/6a538bdd113bab649f388aa48193c1b1ccc48ee6/trainer.py#L257 I find a small issue. why in this line gt_label can be equal to zero? loc_loss /= ((**gt_label >= 0**).sum().float()) # ignore gt_label==-1 for rpn_loss But in Line 254,...

请问,如何获得 每个 类的 AP 呢?

16GB RAM RTX2080(6GB) how to solve this? maybe batch train?

https://docs-cupy.chainer.org/en/stable/ The page isn’t redirecting properly

你好,我在重新训练时刚开始是正常的,但是为什么随着训练时间的增加,CPU和内存的占用也在增加,我4核CPU,16G的内存大约在一小时左右就会占满,电脑卡死,这是什么原因

`Traceback (most recent call last): File "/home/dell/.local/lib/python3.6/site-packages/cupy/__init__.py", line 11, in from cupy import core # NOQA File "/home/dell/.local/lib/python3.6/site-packages/cupy/core/__init__.py", line 1, in from cupy.core import core # NOQA ImportError: libcublas.so.9.0: cannot...

/home/user/anaconda3/bin/python /home/user/wangxu_data/code/2-AutoDetect/simple-faster-rcnn-pytorch-master/train.py Traceback (most recent call last): File "/home/user/wangxu_data/code/2-AutoDetect/simple-faster-rcnn-pytorch-master/train.py", line 3, in import cupy as cp File "/home/user/anaconda3/lib/python3.7/site-packages/cupy/__init__.py", line 21, in from cupy import core # NOQA File "/home/user/anaconda3/lib/python3.7/site-packages/cupy/core/__init__.py", line...

Hi! @chenyuntc If I set `test_num` in file `config.py` to number smaller than len(test_dataloader),then the code ` if ii == test_num: break` will execute,right? But I Encountered this problem! ![image](https://user-images.githubusercontent.com/25848511/79461773-376b1300-8029-11ea-8e15-157df89c736f.png)...

i' m confused about these code calc_detection_voc_prec_rec function following: ``` # VOC evaluation follows integer typed bounding boxes. pred_bbox_l = pred_bbox_l.copy() pred_bbox_l[:, 2:] += 1 gt_bbox_l = gt_bbox_l.copy() gt_bbox_l[:, 2:]...