deevyankar

> @Guocode just direct change '_keras_shape' to '.shape' ,then will be fine, i solve it how to change in resnet.py?

Requirement already satisfied: albumentations in /usr/local/lib/python3.7/dist-packages (0.1.12) Requirement already satisfied: scipy in /usr/local/lib/python3.7/dist-packages (from albumentations) (1.4.1) Collecting imgaug=0.2.5 Downloading https://files.pythonhosted.org/packages/ad/2e/748dbb7bb52ec8667098bae9b585f448569ae520031932687761165419a2/imgaug-0.2.6.tar.gz (631kB) |████████████████████████████████| 634kB 8.1MB/s Requirement already satisfied: numpy>=1.11.1 in /usr/local/lib/python3.7/dist-packages...

Still same.. I am using google colab.... Is it mandatory now to give arguments for additional targets in new version of albumentation? On Thu, Jun 3, 2021, 2:27 PM Mikhail...

thank you, it is working now.

> You can try tf.keras.layers.concatenate Dear friend is it possible to input (182,218,,182,1 ) in this efficient3D. As 3 channels are working but due to too many parameters, google colab...

Thanks its working now. On Sun, Aug 15, 2021, 1:04 PM Amokrane Mancer ***@***.***> wrote: > I had the same issue. solved by using import efficientnet_3D.tfkeras as > efn instead...

Friends I have another issue, base_model = efn.EfficientNetB0(input_shape=(182,218,182,1), weights='imagenet',classes=2) showing error [ **its working only for 3 number of channels**] Downloading data from https://github.com/ZFTurbo/efficientnet_3D/releases/download/v1.0.0/efficientnet-b0_inp_channel_3_tch_0_top_False.h5 19546112/19540520 [==============================] - 0s 0us/step 19554304/19540520...