Open emjay73 opened 3 years ago
Hi, we do not have a plan to provide the 3-rd stage model now. Maybe next month. I'll keep this issue open.
You can train the third stage on your own with the provided 2-nd stage pre-trained model. Please follow the steps in this repo.
You mean the only difference between the YOLOF_CSP_D_53_DC5_9x_stage2_3x and YOLOF-DC5 in the above table is whether the SWA phase is applied or not? Then where does the fps difference come from?
You can check the caption of the Table. When comparing with YOLOv4, we first fuse conv and bn, then keep cudnn_benchmark
as True, and use half-precision for inference.
Which means,
SOLVER.AMP.ENABLED : true
CUDNN_BENCHMARK : true
in the config file?
Can I get a model config and pre-trained weights of the model denoted in this table?