remove deprecated packages

Author: xadupre

.github/actions/keras_application_test/action.yml

@@ -32,25 +32,26 @@ runs:
           pip install pillow
           pip install opencv-python
           pip install tqdm
-          pip install keras-segmentation==0.2.0
           git clone https://github.com/matterport/Mask_RCNN
           cd Mask_RCNN
           pip install -r requirements.txt
           python setup.py install
           cd ..
           pip install matplotlib
           git clone https://github.com/qqwweee/keras-yolo3
-          pip install keras-resnet
           pip install git+https://www.github.com/keras-team/keras-contrib.git
           pip install keras-tcn==2.8.3
           pip install git+https://github.com/qubvel/efficientnet
-          pip install keras-self-attention
           pip install pytest pytest-cov pytest-runner
           pip uninstall -y protobuf h5py
 
           if [[ ${{ inputs.tf_version }} == 1.* ]]; then 
               echo "-- install-1 TF1-KERAS ${{ inputs.tf_version }}"
               pip install numpy==1.19.0 tensorflow==${{ inputs.tf_version }} protobuf h5py==2.9.0 transformers==4.2.0 keras h5py
+              # deprecated packages
+              pip install keras-self-attention
+              pip install keras-segmentation==0.2.0          
+              pip install keras-resnet
           else 
               pip install transformers
               if [[ "${{ inputs.tf_version }}" != "2.13.0" && "${{ inputs.tf_version }}" != "2.9.0" ]]; then

README.md

@@ -340,8 +340,6 @@ model_proto, external_tensor_storage = tf2onnx.convert.from_keras(model,
         An ONNX model_proto and an external_tensor_storage dict.
 ```
 
-See [tutorials/keras-resnet50.ipynb](tutorials/keras-resnet50.ipynb) for an end to end example.
-
 ### from_function (tf-2.0 and newer)
 ```
 import tf2onnx

tutorials/README.md

@@ -9,8 +9,6 @@ The following tutorials show how to convert various models to ONNX.
 
 [efficientnet-lite](https://github.com/onnx/tensorflow-onnx/blob/main/tutorials/efficientnet-lite.ipynb)
 
-[keras-resnet50](https://github.com/onnx/tensorflow-onnx/blob/main/tutorials/keras-resnet50.ipynb) - shows how to convert a keras model via python api
-
 ## Object Detectors
 [ssd-mobilenet](https://github.com/onnx/tensorflow-onnx/blob/main/tutorials/ConvertingSSDMobilenetToONNX.ipynb)