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when i run ./experiments/scripts/faster_rcnn_end2end.sh gpu 0 VGG16 pascal_voc
the problem occurs as follow:faster_rcnn_end2end.sh: line 57: 24466 Segmentation fault (core dumped) python ./tools…
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I've run train.py with all the default setting on PASCAL VOC dataset with AtrousFCN_Resnet50_16s with a epoch number of 250. the result is not satisfactory with a Mean IOU of 0.24 and the segmented pi…
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test model: Alexnet, Vgg16, Resnet50, Restnet101,
CUDA version: cuda-9.0,
CUDNN version: cudnn7.6
Operating system: v100, 1080ti
use caffe time to test speed
./build/tools/caffe time --model al…
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未定义函数或变量 'vl_nnconv'。
出错 dagnn.Conv/forward (line 11)
outputs{1} = vl_nnconv(...
出错 dagnn.Layer/forwardAdvanced (line 85)
outputs = obj.forward(inputs, {net.params(par).value}) ;
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When i tray to minimize or change the VGG16 layer or the base_layer i got a problem which is
![image](https://user-images.githubusercontent.com/60253058/88024705-026ad280-cae8-11ea-98b3-1333d0b14115…
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hi, after reading your codes about the location of vgg54 loss, the location like this
![image](https://user-images.githubusercontent.com/16780698/35723924-f07f847e-0836-11e8-9f80-2802d52fd488.png)
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文字方向检测
基于图像分类,在VGG16模型的基础上,训练0、90、180、270度检测的分类模型,详细代码参考angle/predict.py文件,训练图片8000张,准确率88.23%。 模型地址百度云下载
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Nvidia GeForce GTX 1080
Core i7-7700K
Simple 3 layers Dense network with selu activation.
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Epoch 58/10000
CUBLAS failure 11: CUBLAS_STATUS_MAPPING_ERROR ; GPU=0 ; hostname=amal-laptop ; ex…