Additional API control over useful SSD training / deploy parameters #651
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This PR adds controls over the following SSD parameters at service/model creation time (from template), the
mllibobject:ssd_expand_prob: probability of expanding the image (to improve detection of small/very small objects)ssd_max_expand_ratio: bbox zoom out ratiossd_mining_type:"HARD_EXAMPLE"or"MAX_NEGATIVE"ssd_neg_pos_ratio: ratio of negative sampled examples wrt positive examples (bbox)ssd_neg_overlap: max overlap of negative samples with positive samples (bbox)ssd_keep_top_k: keep k examples after nms has finishedThe default values remain that of every SSD template, and are only overridden when specified through API.