吴生宇

> Thanks for asking. The evaluation command is just updated. For training, please refer our paper for more information. I think you should write the setup structure of a Dataset,...

> > > @shengyuwoo Proper modification is required. Note `[MoGA_A|MoGA_B|MoGA_C]` means you should pick one model, either `MoGA_A` or the others. For the dataset structure, please follow the setting in...

> @shengyuwoo It is zipped with the default macOS compress tool. I don't seem to reproduce your problem. Could you show me how do you unzip the files? I use...

> @shengyuwoo It is zipped with the default macOS compress tool. I don't seem to reproduce your problem. Could you show me how do you unzip the files? The contents...

> Assuming you're using the pre-trained model, the results of cuboids with classes in KITTI format are saved in `output/rcnn/default/eval/epoch_no_number/val/final_result/data` in `txt` format. You'll have the image boxes and 3d...

> Assuming you're using the `default.yaml`, did you use the `--set RPN.LOC_XZ_FINE False` while running `eval_rcnn.py` for your own trained model , because you shouldn't have. But I deleted the...

> @shengyuwoo can you paste the error message here? OK，the error message following: Traceback (most recent call last): File "eval_rcnn.py", line 902, in eval_single_ckpt(root_result_dir) File "eval_rcnn.py", line 762, in eval_single_ckpt...

> @shengyuwoo can you also put the command you run. I don't know what's wrong with this. Can you tell me?

> @shengyuwoo It looks like the model you provide with `--ckpt` doesn't have the `rpn` params. But you have to provide the commands that you run through the whole process...

> @shengyuwoo since you don't provide the commands, I can't understand what you were really up to :) I completed the second stage of RCNN training, got a checkppoint_epoch_30.pth file,...