stone226

hi，Marek I want you give me more details about additional layer . 1 what is type the additional layer ?for example ,full connect layer or others. 2 How many layers...

thanks for your work! I am not familiar with thenao,I want to know that when i train the second stage,traing.loadNetwork initialize the first model,if the parameters of first model will...

hi,Marek can you give me some suggestions for improve the performance? Now,I trained the stage1 from scratch.The train data and augumention is same as you.I test my model and make...

1 yes,the model DAN.npz,not Menpo-DAN.npz;my training data does not contains Menpo dataset. 2 just 1 stage, not 2 stage.because my model just contains 1 stage.I will continue to trian the...

hi,Marek thanks for your reply. I have trianed stage1 again after modifying some errors in my code which based on caffe.my new results as below: stage1 normalization = 'corners' failureThreshold...

hi,thanks for your answers. I have another problem. now,I have trained a model just using the stage1,and I found that if use the public data with its face boxes provided,the...

@ildoonet I have the similar problem about inference.After trainning the a model with Lcnn,how to inference with the function named extract_dense_weights.I do not understand how the indices and coefficients to...

now,as I have trouble in compling custom_op,I set the mode with 'tf_op',when i run the inference.py.But,there is an error which is found in the function 'tf.sparse_tensor_dense_matmul(sparse_kernel, img2col)'.The error information is...

I compile the custom_op,and set the mode with 'custom_op'.However,there is another problem that when I input a test image,the predicted result which generated from graph1(g1)is right,then the other predicted result...