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

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Without the incoming socket you cannot receive events from the server or register event handlers to your Visdom client

ERROR: Cannot find key: -f Usage: ipykernel_launcher.py available groups: In | Out | exit | quit | os | ipdb | matplotlib | Ipynb_importer | opt | data_ | at...

/simple-faster-rcnn-pytorch-master/model/utils/bbox_tools.py:68: RuntimeWarning: overflow encountered in exp h = xp.exp(dh) * src_height[:, xp.newaxis] /simple-faster-rcnn-pytorch-master/model/utils/bbox_tools.py:68: RuntimeWarning: overflow encountered in multiply h = xp.exp(dh) * src_height[:, xp.newaxis] /simple-faster-rcnn-pytorch-master/model/utils/bbox_tools.py:69: RuntimeWarning: overflow encountered in exp...

train epoch.. test epoch.. train epoch . . . 1671it [11:17, 2.47it/s]'>' not supported between instances of 'float' and 'NoneType' 1675it [11:18, 2.47it/s]Traceback (most recent call last): File "train.py", line...

Thanks for your great work! But I met some troubles in training, the mAP stayed the same after 0 epoch and wouldn't change any more! I print the mAP every...

why i can not train ? lt always kill ? who can help me ? ![2019-04-16 11-16-33屏幕截图](https://user-images.githubusercontent.com/32611793/56179864-ce2d7a00-6039-11e9-88d4-cd783a1e1028.png)

Hi, I've implemented the resnet101 structure on the top of vgg16 network, while the mAP on VOC datasets could only reach 0.62 after 20 epochs. Do you have any idea...

在pycharm里运行之后不会报错,也没有结果

@chenyuntc When I input "wget http://host.robots.ox.ac.uk/pascal/VOC/voc2007/VOCtrainval_06-Nov-2007.tar" in teminal,it connected to host timeout.Here is the output. --2020-10-16 12:36:39-- (尝试次数:20) http://host.robots.ox.ac.uk/pascal/VOC/voc2007/VOCtrainval_06-Nov-2007.tar 正在连接 host.robots.ox.ac.uk (host.robots.ox.ac.uk)|129.67.94.152|:80... 失败:连接超时。 放弃操作。

How to change the code to enable input image without bounding box in annotation? I face the following error: Traceback (most recent call last): File "train.py", line 133, in fire.Fire()...