• Richard Brooks's avatar
    Lstm object detection improvements (#7379) · 49075e50
    Richard Brooks authored
    * Replace google3.pyglib modules with tf and absl
    
    This now matches train.py and provides more publicly available libraries.
    
    * Add example pipeline config for SSD Interleaved V2 Model.
    
    Compiled from model_builder_test.py and lstm_ssd_mobilenet_v1_imagenet.config,
    Removed data augmentation and tranfer learning (i.e. training from checkpoint) due to errors I was seeing when trying to run with it.
    
    * Remove unused tfrecord creation.
    
    This was also incorrectly specified, as the keys differed from the TFSequenceExample parser.
    
    * correct key specified in docstring
    
    * add tflite frozen graph exporter (cli and lib).
    
    * add tflite model exporter
    
    * add script to test the tflite model
    
    * add mode export documentation
    
    * correct docstring
    
    * rename export files to be unique across detection research work
    
    * correct number of channels for grayscale
    
    * add and correct copyright
    49075e50
eval.py 4.27 KB