Open pi1ing opened 3 years ago
Hello, thank you for your great job. I tried to train DOTA dataset with the default cfgs(backbone: resnet_50), however got training result like this:
************************************************************ 2021-11-05 09:18:35: global_step:20 current_step:20 per_cost_time:4.518s refine_cls_loss_stage3:0.000 cls_loss:1364.121 refine_reg_loss:0.000 refine_reg_loss_stage3:0.000 reg_loss:2.277 refine_cls_loss:741079.375 total_losses:742445.750
************************************************************ 2021-11-05 09:18:44: global_step:40 current_step:40 per_cost_time:0.234s refine_cls_loss_stage3:0.000 cls_loss:nan refine_reg_loss:0.000 refine_reg_loss_stage3:0.000 reg_loss:nan refine_cls_loss:nan total_losses:nan
by the way, I have one Gefore RTX 3080ti, the development environment uses the recommanded docker images, but the first _, global_stepnp, summary_str = sess.run([train_op, global_step, summary_op]) took me 10 min to run, is it normal?
_, global_stepnp, summary_str = sess.run([train_op, global_step, summary_op])
Hello, thank you for your great job. I tried to train DOTA dataset with the default cfgs(backbone: resnet_50), however got training result like this:
by the way, I have one Gefore RTX 3080ti, the development environment uses the recommanded docker images, but the first
_, global_stepnp, summary_str = sess.run([train_op, global_step, summary_op])took me 10 min to run, is it normal?