Implementation-CVPR2015-CNN-for-ReID
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Ning-Ding
The `Merge` layer is deprecated
Thank you for share your work. When I trying to run the model using market1501 database, I have problem like this:
File "model_for_market1501.py", line 69, in cross_input_asym tensor_left_padding = K.spatial_2d_padding(tensor_left,padding=(2,2)) File "/usr/local/lib/python2.7/dist-packages/Keras-2.0.3-py2.7.egg/keras/backend/tensorflow_backend.py", line 1834, in spatial_2d_padding assert len(padding[0]) == 2 TypeError: object of type 'int' has no len()
my tensorflow version is ** 0.12**
Thankou for help!!
Hi, it's my pleasure to share the work. I have updated the model definition script last night, you could use the latest version Keras to define the model now. Today I will complete the model compile part.
Is there an update on this? I'm still getting "TypeError: object of type 'int' has no len()." Otherwise, is there a last known version of keras/tensorflow in which this worked?
Regardless, I appreciate your work on this implementation.
The versions of keras and tensorflow worked for my case is :
keras 2.0.4 Tensorflow 1.2.1 Python 2.7.12
I run with CUHK03 But it is incredibly resource intensive .. it takes days with two 11gb GTX1080ti GPU connected with SLI which I enable it going to /etc/X11/xorg.conf and core i9 CPU and RAM size of 32GB ... with min_batch of 150 ( though the author recommended to make it 50 if resource is an issue)
Anybody who complete running the model on CUHK03 ? how long does it take ? what environment/resource you used ?
I completed training the CUHK03 model with two 11G GTX1080ti GPUs, CPU i7-6800K, RAM 32G, tensorflow 1.1, keras 2.0.0. It takes me about 50 hours. @bmiftah
