Paul Kuo's profile - activity

@dkurt, yes, it works now. Thanks!

@dkurt. Thanks, I got it! I have checked the difference between "cvOut" and "out". The difference is little. One more qu

@dkurt. Thanks, I got it! I have checked the difference between "cvOut" and "out". The difference is little. One more qu

@dkurt. Thanks, I got it! I have checked the difference between "cvOut" and "out". The difference is little. One more qu

@dkurt. Thanks, I see. I have checked the difference between "cvOut" and "out". The difference is little. One more quest

Hi @dkurt, A question. In the answer your provided above, in the step7 : check an accuracy. you compare "out" and "cvOu

Hi @dkurt, A question. In the answer your provided above, in the step7 : check an accuracy. you compare "out" and "cvOu

Hi @dkurt, One question. In the answer your provided above, the step : check an accuracy. you compare "out" and "cvOut"

Hi, @StevenPuttemans @dkurt, Any suggestion on this? thanks

They run fine. The result is 1 by 2 matrix, and I suppose 1st element is age and 2nd element is gender. However, the ans

They run fine. The result is 1 by 2 matrix, and I suppose 1st element is age and 2nd element is gender. However, the ans

OK, let me explain in more detail.. I am using DLib to detect the face and facial landmarks then I can crop and normalis

OK, let me explain in more detail.. I am using DLib to detect the face and facial landmarks then I can crop and normalis

OK, let me explain in more detail.. I am using DLib to detect the face and facial landmarks then I can crop and normalis

How to estimate a face's age/gender using cv::dnn APIs Hi, OpenCV developer, This is a subsequent question from http:/

Dear opencv dnn developers,

[Environment] TensorFlow 1.5 python 3.5 Win7 opencv3.4

I am very new to the Tensor flow. Recently I found a pretrained dnn for age gender detection https://github.com/BoyuanJiang/Age-Gender-Estimate-TF. The model is defined in "inception_resnet_v1.py" and the latest model checkpoints can be found https://mega.nz/#!kaZkWDjb!xQvWi9B--FgyIPtIYfjzLDoJeh2PUBEZPotmzO9N6_M

I loaded model with the latest check point into Tensor Flow and running detection ok, and managed to freeze the graph using freeze_graph.py but when I load this frozen graph by cv::dnn::readNetFromTensorflow("XXX.pb"), it gets error:..."Unknown layer type shape in op map/Shape)".... or I tried cv::dnn::readNetFromTensorflow("XXX.pb", "XXX.pbtxt"), it also gets error:...unknown enumeration values of "DT_RESOURCE" for field "type..."

I have searched over the internet trying to find a solution... someone suggested using "optimize_for_inference" or "graph_transform" might help. As I have limited Tensor Flow knowledge, I do not understand how these two processes can solve the problem. and Also, cv::dnn::readNetFromTensorflow() method has the 2nd argument, which I also do not know in what situation I should/should not provide a .pbtxt for it?

Please help. If there is any further information needed to clarify the question, just let me know and I will supply.

Thanks in advance

@dkurt, They run fine. The result is 1 by 2 matrix, and I suppose 1st element is age and 2nd element is gender. However,

@dkurt Now, here is the problem of my next step. I am using DLib to detect the face and facial landmarks thus I can crop

@dkurt Thanks for your suggestion. I use frozenGraph_ageGender.pb and frozen_inception_resnet_v1.pbtxt(download from you

@dkurt Thanks for your suggestion. I use frozenGraph_ageGender.pb and frozen_inception_resnet_v1.pbtxt(download from you

@dkurt Thanks for your suggestion. I use frozenGraph_ageGender.pb and frozen_inception_resnet_v1.pbtxt(download from you

@dkurt, I just updated from opencv3.4 to opencv3.4.1. However, the same Assertion fail still occurs. Any other suggestio

@dkurt, what do you exactly mean here? do you mean I go and comment out the Assertion failed(size==(int)dstBlob.total())

@dkurt Thank you for your help. Just downloaded the "frozen_inception_resnet_v1.pbtxt" you provided and tried in my VS20

@dkurt Upload the latest frozenGraph_agedGender.pbhttps://www.dropbox.com/s/h4vqsj4eu1ksmbm/frozenGraph_ageGender.pb?dl

@dkurt, after setting all "phase_train" and "is_training" flags equal to false, I ran tf.train.write_graph(...) and cal

yes, It has been done at line 76 convertGraphToPb.py ages, genders = sess.run([age, gender], feed_dict={images_pl: ali

Hi @dkurt, I have checked the cod and, to the best of my knowledge, there should not be any "isTraining==True" existed

Hi @dkurt, Thank you for your suggestion. I was switched to another project now, but will come back to this issue and t

Hi @dkurt, is there any luck to fix this problem...? Everyone, any suggestions will be appreciated... Thank you

Hi, dkurt, Thank you for your reply. The detail of getting the frozen graph is described below... ..... after loading t

Hi, dkurt, Thank you for your reply. The detail of getting the frozen graph is described below... ..... after loading t

then a frozenGraph.pb is generated. Here you can download my generated "graphDef.pb" "graphDef.pbtxt" and "frozenGraph

then a frozenGraph.pb is generated. Here you can download my generated "graphDef.pb" "graphDef.pbtxt" and "frozenGraph

Hi, dkurt, Thank you for your reply. The detail of getting the frozen graph is described below... ..... after loading t

dnn::readNetFromTensorflow() fail on loading pre-trained network on age-gender detection Dear opencv dnn developers, [