I have use TLT tool train a faster rcnn model with default_spec_darknet53.txt, and tlt-evaluate result (110 epoch) is AP:0.5927,precision:0.5981,recall:0.6683,RPN_recall:0.8842.
Then I use tlt-prune tool generate pruned model of model_1_pruned.tlt, which pruning ratio is 0.28241. And I retrain it, but I find that the AP and recall is get smaller, precision is getting biger.
epoch 1 : AP:0.32, precision:0.52, recall:0.40
epoch 50 : AP:0.29, precision:0.64, recall:0.35
epoch 100 : AP:0.26, precision:0.72, recall:0.31
Whether is because my retrain epoch is not enough?