tensorflow keras implement of mobilenet v3 ssdlite, same structure as tensorflow model. some utils for converting ckpt model to keras model,and keras model to pb model.
- python 3.6
- tensorflow 1.14
- cuda 10
- cudnn 7.6.5
- pycocotools
- tensorflow object detection api
- tf ckpt model and keras model have some difference in preprocess phase, model details and anchor settings.
- In this repo, we don't use variance(anchor setting parameter).
- This model is build by tf.keras.models
- model files in ./models
- Origin ckpt file's inference file in ./experiments/tfckpt_inference.py
- This repo can convert tf ckpt models to tfkeras h5 models, main file in ./model_transformation_utils/load_weights_tf2keras.py
- Other files in ./model_transformation_utils/ are my other tries , can be understanded by their names.
- keras to pb is work but keras to tflite is not work, because some ops in decodelayer are not supported yet in tflite.
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Code for eval converted model's performance
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At first, use dfsmodel function(line 104) to load ckpt to keras model's weights, otherwise it will not be loaded successfully.
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After first loading phase, you can use save_weights function to save now weights for this keras models.
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Then you can use load_weights to load now weights for inference/test keras models.
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Infer several images by ./tfckpt2keras_inference.py
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Eval performance by ./tfckpt2keras_test.py
- You can also use this repo to train your own keras models.
- This repo can be trained by ./tfkeras_train.py
- This repo can be inferenced by ./tfkeras_inference.py
- This repo can be evaled by ./tfkeras_test.py
[1] https://github.com/tensorflow/models/tree/master/research/object_detection
[2] https://github.com/markshih91/mobilenet_v2_ssdlite_keras