Comments (22)
Thanks again
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@xiakj Sorry, check this link: https://drive.google.com/drive/folders/1D6gG2WRvOvUI7NyJLInGl2zBD6zDPcoI
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insightface有提供caffe版本的模型,可以直接拿来用,只需要提取特征。
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谢谢你的回答
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@xialuxi Do you have ArcFace pretrained caffemodel?
if you have please send the link..,
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@shyamala-methy go to the original insightface git and search for 'caffe', you will be able to find a download link.
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@WIll-Xu35 Thank you ,got it .
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@shyamala-methy
Can you send me the ArcFace pretrained caffemode, I haven't found that. Thank you
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@xiaosuzhang
i don't have caffemodel at now..
u can download mxnet model here https://github.com/deepinsight/insightface/wiki/Model-Zoo
convert that to mxnet to caffe using https://github.com/xialuxi/arcface-caffe/tree/master/mxnet_to_caffe
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@shyamala-methy
Can you send me the converted prototxt and caffemodel files? My environment could not work. Thanks
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@xiaosuzhang i don't have i deleted all files
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Thanks again
Do you find pre-model of c++? if you have found ,please give me a link
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可以提供一下前向推理的cpp实现吗
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@xialuxi 在insightface工程中没有找到转换的caffe模型呢,能提供下链接吗,谢谢!
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@shyamala-methy @WIll-Xu35 can you provide me the arcface caffemodel download link? I can not find it in insightface repo. thank u.
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@xiakj https://drive.google.com/open?id=1H2vAWU2Mappm9yY190WX_KxGVgE9RiK8
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@xiakj drive.google.com/open?id=1H2vAWU2Mappm9yY190WX_KxGVgE9RiK8
thanks. but there is no deploy.caffemodel
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@JAYM629 @WIll-Xu35 thanks!
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@xiakj Sorry, check this link: https://drive.google.com/drive/folders/1D6gG2WRvOvUI7NyJLInGl2zBD6zDPcoI
thats great! but is there any demo script using this caffemodel? need to normalize input image or some other image operations?
from arcface-caffe.
insightface有提供caffe版本的模型,可以直接拿来用,只需要提取特征。
有链接可以看么,有提供arcface模型么?,我看都是mxnxt模型啊。。。。
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Related Issues (20)
- 训练时loss损失一直不变,希望指点一下 HOT 3
- AdaCos的问题 HOT 3
- The Predictions of Landmarks is not accurate at all HOT 1
- UMDFaces Dataset
- SV-X-Softmax的.cu文件
- 关于cosin_add_m_layer的实现 HOT 1
- 我使用softmax损失,10177个id, 20万张图片,loss从开始50左右,训练10个epoch后下降到19左右就在一直震荡,请问你们训练时这么大的数据集loss能下降到多少?而且准确率也不会提升。 HOT 8
- mnist的例子
- 关于CosinAddmLayer和combined_margin_layer的疑问
- softmax计算
- Did anyone try AdaCos? HOT 2
- 为什么loss为87.33,accuracy为1? HOT 2
- 关于adacos中的m HOT 1
- Compile on ubuntu
- Optimizer
- 训练过程精度较高,测试的时候精度确不高?
- 卷积层是否使用偏置 bias_term
- pose = pose * 90.0是出来的pose要旋转的意思吗?
- accuracy_hat_arc不超过0.6,损失处于1.5
- Is it mandatory to use Nvidia GPU, can we use OpenCL instead?
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