.npy files under this folder are downloaded from TFLite model of DeepLab V3 MoblieNet V2 generated by following commands, which is licensed under the Apache 2.0.
How to Generate DeepLab V3 MobileNet V2 TFLite model
Download and extract the origin DeepLab V3 MobileNet V2 model use following tools and commands to convert the frozen grahp to TFLite model.
Use tensorflow's optimize_for_inference tool to generate a stripped frozen graph:
python3 -m tensorflow.python.tools.optimize_for_inference \
--input=./frozen_inference_graph.pb \
--output=./frozen_inference_graph_stripped.pb \
--frozen_graph=True \
--input_names="sub_7" \
--output_names="ArgMax"
Use 'TensorFlow Lite converter' tool to convert stripped frozen graph to TFLite model:
tflite_convert \
--graph_def_file=frozen_inference_graph_stripped.pb \
--output_file=deeplab_mobilenetv2.tflite \
--output_format=TFLITE \
--input_format=TENSORFLOW_GRAPHDEF \
--input_arrays=sub_7 \
--output_arrays=ArgMax