shicai MobileNet-Caffe issues

shicai / MobileNet-Caffe

Caffe Implementation of Google's MobileNets (v1 and v2)

BSD 3-Clause "New" or "Revised" License

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issues

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Wrong predictions after fine-tuning the mobilenetv2 model

#91 neerajasjawali closed 11 months ago
4
Mobilenet-NNIE

#90 CVUsers opened 2 years ago
2
TypeError: slice indices must be integers or None or have an __index__ method

#89 nicolast0604 opened 2 years ago
4
modified line35 and line38 type(off)=int

#88 Jeremy-J-J opened 3 years ago
0
batchnorm layer variance exist negative numbers

#87 KimmiShi opened 3 years ago
3
can you share the training code?

#86 junhyukso opened 3 years ago
0
Training imagenet from scratch

#85 makiit opened 4 years ago
0
check failure stack trace

#84 Endeavour92 opened 4 years ago
0
caffe可以实现宽度乘法器和分辨率乘法器吗？

#83 17759205390 opened 5 years ago
0
bug in eval_image,py

#82 vicwer opened 5 years ago
0
can you provide the prototxt generator ? thank you very much

#81 13354236170 opened 5 years ago
0
MobileNet025

#80 yja1 opened 5 years ago
0
Some bottlenecks do not contain skip connections in Mobilenet v2?

#79 eezywu closed 5 years ago
0
Update README.md

#78 mn-robot closed 5 years ago
0
Check failed: target_blobs.size() == source_layer->blobs().size() (1 vs. 0) Incompatible number of blobs for layer conv5_5/dw

#77 ngunauj closed 5 years ago
1
The accuracy i test is lower than that in the readme file

#76 basaltzhang opened 5 years ago
1
Fine-tune with provided solver leads to loss=87.3365

#75 zhuochen24 opened 5 years ago
6
Add Netron links

#74 lutzroeder closed 5 years ago
0
image size

#73 wang5566 closed 5 years ago
0
add train.prototxt

#72 ZhangXinNan opened 6 years ago
0
I wonder something intresting why it's

#71 xufeifeiWHU closed 6 years ago
0
Is it recommended to use global batch for fine tuning?

#70 wyasuda opened 6 years ago
0
mobilenet_v2 MAdds 429M vs paper's 300M, because of two difference

#69 iceflame89 opened 6 years ago
1
About Top1 and Top5 result

#68 fanghuaqi closed 6 years ago
5
Wrong strides in MobilenetV2

#67 mathmanu closed 6 years ago
2
BatchNorm consuming a lot of time

#66 leochli opened 6 years ago
2
训练时将Conv+group换成DepthwiseConvolution更快些

#65 jnulzl opened 6 years ago
3
Loss = -nan

#64 3ntr0phy opened 6 years ago
3
Train my own data

#63 mauione1 opened 6 years ago
5
Finetuning example

#62 3ntr0phy opened 6 years ago
0
Is there any pretrained model detect human?

#61 Wisgon closed 6 years ago
1
Where is depthwise convolution layer?

#60 408550969 closed 6 years ago
4
Training does not converge

#59 SmartMachineBay opened 6 years ago
3
This is incorrect implement because you use regular convolution2D rather than depthwise convolution2D

#58 machanic closed 6 years ago
2
Bechmarking using caffe test tool

#57 yeshwanthv5 closed 6 years ago
4
The regularization of depthwise convolution

#56 BOBrown opened 6 years ago
1
why set "BatchNorm" lr_mult: 0 ?

#55 xialuxi closed 6 years ago
1
how to set the parameters of the model?

#54 chenxiang204 opened 6 years ago
1
MobileNetv2 SSD?

#53 didulle opened 6 years ago
0
MobileNet v2 CPU inferencing performance

#52 matt-ny opened 6 years ago
3
MobileNetV2 doesn't have Relu6?

#51 wang1ang opened 6 years ago
1
problem in conv4_7 layer

#50 linchaozhang closed 6 years ago
5
MobileNet accuracy

#49 gudovskiy opened 6 years ago
4
mobilenet_v2_deploy.prototxt is encoded as utf8-bom

#48 sanallen opened 6 years ago
1
Unable to run eval_image.py

#47 kushagraagrawal opened 6 years ago
5
Simply running "classification" fails... whats wrong??

#46 rmbarbosa closed 6 years ago
5
error == cudaSuccess (77 vs. 0 ) an illegal memory access was encountered

#45 Ai-is-light opened 6 years ago
2
how to change the two super-parameters ?

#44 Ai-is-light closed 6 years ago
3
check failed::error == cudasuccess(2 vs 0) out of memory

#43 lcj820 opened 6 years ago
1
Check failed: status == CUDNN_STATUS_SUCCESS (4 vs. 0)

#42 lcj820 closed 6 years ago
11