what settings?

[Artem921]

please, what parameters are needed for optimal forecast of the model in BatchGenerator train_dataset.generate(batch_size=batch_size, shuffle=True, train=True, ssd_box_encoder=ssd_box_encoder, convert_to_3_channels=True, equalize=True, brightness=(0.5, 2, 0.5), flip=0.5, translate=False, scale=False, max_crop_and_resize=(img_height, img_width, 1, 3), # This one is important because the Pascal VOC images vary in size random_pad_and_resize=(img_height, img_width, 1, 3, 0.5), # This one is important because the Pascal VOC images vary in size random_crop=False, crop=False, resize=False, gray=False, limit_boxes=True, # While the anchor boxes are not being clipped, the ground truth boxes should be include_thresh=0.5)