run capsnet with New dataset，Can you help me, please?

[IreneTa]

I ran my dataset on a capsule network. My image size is 224 * 224. I modified caps_ 2_ vec_ Len and upsample3= tf.image.resize_ nearest_ Neighbor (conv2, (224, 224)) and data_ handler, I'm a novice. I don't understand the code very well. Is there anything else in the _build_decoder decoder that needs to be modified?
`fc1 = tf.contrib.layers.fully_connected(capsule_vector, num_outputs=400)
fc1 = tf.reshape(fc1, shape=(batch_size, 5, 5, 16))
upsample1 = tf.image.resize_nearest_neighbor(fc1, (8, 8))
conv1 = tf.layers.conv2d(upsample1, 4, (3,3), padding='same', activation=tf.nn.relu)

    upsample2 = tf.image.resize_nearest_neighbor(conv1, (16, 16))
    conv2 = tf.layers.conv2d(upsample2, 8, (3,3), padding='same', activation=tf.nn.relu)

    upsample3 = tf.image.resize_nearest_neighbor(conv2, (224, 224))
    conv6 = tf.layers.conv2d(upsample3, 16, (3,3), padding='same', activation=tf.nn.relu)

    # 3 channel for RGG
    logits = tf.layers.conv2d(conv6, 3, (3,3), padding='same', activation=None)
    decoded = tf.nn.sigmoid(logits, name='decoded')
    tf.summary.image('reconstruction_img', decoded)

`

[koushikkumarl]

@IreneTa - I am attempting to solve a similar problem with image size 256*256. Were you able to find the solution with right parameters? If yes, possible to shred some light on how you approached the solution?

[Moord14]

@IreneTa @koushikkumarl
Hey Guys, I too am having some troble trying to run the diffent image sizes. did anyone find a soultion ?

Regards,
David

[koushikkumarl]

@IreneTa @koushikkumarl
Hey Guys, I too am having some troble trying to run the diffent image sizes. did anyone find a soultion ?

Regards,
David

Hi David,

I couldn't find a solution with TF2.0 CapsNets code. I instead made use of TF1.15 CapsNets code and implemented it on the dataset. I was able to make change to image, to any required pixel size. Please see if the below link can be of any help to you.
https://github.com/koushikkumarl/capsuleNetwork_cancerclassification

I've taken the capsule network source code from https://github.com/XifengGuo/CapsNet-Keras and made required modifications for end to end implementation.

Regards,
Koushik

[Moord14]

Hi Koushik, Thanks for the response and great work by the way. Did you have to modify the source code much or was it mainly converting your images to fit the model ? My images are 600 x 600 x 3 Regards, David

…

On Thu, Jan 7, 2021 at 10:24 AM koushikkumarl ***@***.***> wrote: @IreneTa <https://github.com/IreneTa> @koushikkumarl <https://github.com/koushikkumarl> Hey Guys, I too am having some troble trying to run the diffent image sizes. did anyone find a soultion ? Regards, David Hi David, I couldn't find a solution with TF2.0 CapsNets code. I instead made use of TF1.15 CapsNets code and implemented it on the dataset. I was able to make change to image, to any required pixel size. Please see if the below link can be of any help to you. https://github.com/koushikkumarl/capsuleNetwork_cancerclassification I've taken the capsule network source code from https://github.com/XifengGuo/CapsNet-Keras and made required modifications for end to end implementation. Regards, Koushik — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#23 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ARI4Y4RBBSOAHXBJVZ3LSOTSYWDUVANCNFSM4N7VTSGA> .

[koushikkumarl]

Hi Koushik, Thanks for the response and great work by the way. Did you have to modify the source code much or was it mainly converting your images to fit the model ? My images are 600 x 600 x 3 Regards, David
…
On Thu, Jan 7, 2021 at 10:24 AM koushikkumarl @.***> wrote: @IreneTa https://github.com/IreneTa @koushikkumarl https://github.com/koushikkumarl Hey Guys, I too am having some troble trying to run the diffent image sizes. did anyone find a soultion ? Regards, David Hi David, I couldn't find a solution with TF2.0 CapsNets code. I instead made use of TF1.15 CapsNets code and implemented it on the dataset. I was able to make change to image, to any required pixel size. Please see if the below link can be of any help to you. https://github.com/koushikkumarl/capsuleNetwork_cancerclassification I've taken the capsule network source code from https://github.com/XifengGuo/CapsNet-Keras and made required modifications for end to end implementation. Regards, Koushik — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#23 (comment)>, or unsubscribe https://github.com/notifications/unsubscribe-auth/ARI4Y4RBBSOAHXBJVZ3LSOTSYWDUVANCNFSM4N7VTSGA .

Hi David,

I've observed only one place where we can provide the input image size to mode - in method '_build_inputs(self)'

The input here is reshaped further and provided as input to the model. Though I traced back and tried to make required changes, I always ended up with errors appearing either in conv_caps_layer or routing methods.

You can also refer to an implementation from Parth, he worked on capsnets on TF 2.0 or above - link: https://medium.com/@parthdedhia/hi-koushik-i-have-tried-implementing-the-capsule-network-for-cifar-10-dataset-with-32x32x3-input-44df862890a1

Hope this helps. 👍 If you have further queries, please feel free to reach me on [email protected]

Regards,
Koushik