b2be56552694c9f18b72bfdadf936e09f55f9874,train.py,,_main_,#Any#,86

Before Change

    valid_generator = BatchGenerator(
        instances           = valid_ints, 
        anchors             = config["model"]["anchors"],   
        labels              = config["model"]["labels"],        
        downsample          = 32, // ratio between network input"s size and network output"s size, 32 for YOLOv3
        max_box_per_image   = config["model"]["max_box_per_image"],
        batch_size          = config["train"]["batch_size"],

After Change

    // load the weight of the backend, which includes all layers but the last ones
    if os.path.exists(config["train"]["saved_weights_name"]): 
        train_model.load_weights(config["train"]["saved_weights_name"], by_name=True)
    else:
        train_model.load_weights("backend.h5", by_name=True)

    //////////////////////////////////////////////////////////////

Instances