Hand landmark model: AssertionError: Identity is not in graph

[geaxgx]

1. OS Ubuntu 18.04

2. OS Architecture x86_64

4. Version of TensorFlow v2.4.1

9. Download URL for .tflite https://github.com/google/mediapipe/blob/master/mediapipe/modules/hand_landmark/hand_landmark.tflite

12. Issue Details

Hi PINTO, My goal is to convert the Mediapipe Hand landmark tflite model (the version of Nov 2020 which takes 224x224x3 frames as input) into a DepthAI blob file, so my first step is to use your tflite2tensorflow tool to convert the tflite into a pb file.

Here is the command line I use: tflite2tensorflow --model_path hand_landmark.tflite --flatc_path ./flatc --schema_path schema.fbs --output_pb True

Here is the begining and end of the output : op_types: ['ADD', 'ADD', 'ADD', 'ADD', 'ADD', 'ADD'] INFO: Replace the model generated by the old FlatBuffer with the new operator code. op_new_types: ['CONV_2D', 'DEPTHWISE_CONV_2D', 'ADD', 'RESHAPE', 'FULLY_CONNECTED', 'LOGISTIC'] num of ops: 64 [{'builtin_options': {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 'RELU6', 'padding': 'SAME', 'stride_h': 2, 'stride_w': 2}, 'builtin_options_type': 'Conv2DOptions', 'custom_options_format': 'FLEXBUFFERS', 'inputs': [0, 41, 5], 'opcode_index': 0, 'outputs': [106]}, .... TensorFlow/Keras model building process complete! saved_model / .pb output started ==================================================== WARNING:tensorflow:From /home/gx/env_tflite2tf/bin/tflite2tensorflow:2567: convert_variables_to_constants (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version. Instructions for updating: Use tf.compat.v1.graph_util.convert_variables_to_constants WARNING:tensorflow:From /home/gx/env_tflite2tf/lib/python3.8/site-packages/tensorflow/python/framework/convert_to_constants.py:856: extract_sub_graph (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version. Instructions for updating: Use tf.compat.v1.graph_util.extract_sub_graph ERROR: Identity is not in graph Traceback (most recent call last): File "/home/gx/env_tflite2tf/bin/tflite2tensorflow", line 2567, in main graph_def = tf.graph_util.convert_variables_to_constants( File "/home/gx/env_tflite2tf/lib/python3.8/site-packages/tensorflow/python/util/deprecation.py", line 340, in new_func return func(*args, *kwargs) File "/home/gx/env_tflite2tf/lib/python3.8/site-packages/tensorflow/python/framework/graph_util_impl.py", line 275, in convert_variables_to_constants ret = convert_to_constants.convert_variables_to_constants_from_session_graph( File "/home/gx/env_tflite2tf/lib/python3.8/site-packages/tensorflow/python/framework/convert_to_constants.py", line 1143, in convert_variables_to_constants_from_session_graph converter_data=_SessionConverterData( File "/home/gx/env_tflite2tf/lib/python3.8/site-packages/tensorflow/python/framework/convert_to_constants.py", line 856, in init graph_def = graph_util.extract_sub_graph(graph_def, output_node_names) File "/home/gx/env_tflite2tf/lib/python3.8/site-packages/tensorflow/python/util/deprecation.py", line 340, in new_func return func(args, kwargs) File "/home/gx/env_tflite2tf/lib/python3.8/site-packages/tensorflow/python/framework/graph_util_impl.py", line 208, in extract_sub_graph _assert_nodes_are_present(name_to_node, dest_nodes) File "/home/gx/env_tflite2tf/lib/python3.8/site-packages/tensorflow/python/framework/graph_util_impl.py", line 163, in _assert_nodes_are_present assert d in name_to_node, "%s is not in graph" % d AssertionError: Identity is not in graph**

Do you have an idea ? Identity is the name of one of the 3 model outputs.

Note that I have done the installation of Tensorflow Lite and Tensorflow as described in the README: pip install gdown gdown --id 1RWZmfFgtxm3muunv6BSf4yU29SKKFXIh chmod +x tflite_runtime-2.4.1-py3-none-any.whl pip install tflite_runtime-2.4.1-py3-none-any.whl pip install tensorflow==2.4.1 And I was able to successfully convert another model (the palm detection model).

[PINTO0309]

I fixed the problem and upgraded the version. Please update the package and try again. The latest version is v1.1.2.

[geaxgx]

Thank you so much for your reactivity ! I upgraded and was able to successfully convert.