yinguoxiangyi

Results 15 comments of yinguoxiangyi

Task 7 solution: missing command interfaces 'flange_gpios/digital_out_1' 'flange_gpios/digital_out_2'

nice solution, thank you very much.

Does loss curves look right?

According to your past experiments, ideally, which value the `binary_code_loss` will decrease to ?

When doing pose refinement, is the args of `test_gdrn_depth_refine.sh` the same as `test_gdrn.sh`?

@lolrudy Could you please provide some help?

When doing pose refinement, is the args of `test_gdrn_depth_refine.sh` the same as `test_gdrn.sh`?

@shanice-l Could you please remind @lolrudy to have a view?

When doing pose refinement, is the args of `test_gdrn_depth_refine.sh` the same as `test_gdrn.sh`?

Another error occurred. ``` File "/workspace/gdrnpp_bop2022/core/gdrn_modeling/../../core/gdrn_modeling/engine/gdrn_evaluator.py", line 471, in process_depth_refine out_coor_x = out_dict["coor_x"].detach() └ {'rot': tensor([[[-0.2536, 0.9567, 0.1430], [ 0.9103, 0.2861, -0.2991], [-0.3271, 0.0543, -0.9434]], ... KeyError: 'coor_x' ```

When doing pose refinement, is the args of `test_gdrn_depth_refine.sh` the same as `test_gdrn.sh`?

Where to set texture_paths=None? Should the command be modified as following ``` ./core/gdrn_modeling/test_gdrn_depth_refine.sh configs/gdrn/lmo_pbr/convnext_a6_AugCosyAAEGray_BG05_mlL1_DMask_amodalClipBox_classAware_lmo.py 0 output/gdrn/lmo_pbr/convnext_a6_AugCosyAAEGray_BG05_mlL1_DMask_amodalClipBox_classAware_lmo/model_final_wo_optim.pth texture_paths=None ```

When doing pose refinement, is the args of `test_gdrn_depth_refine.sh` the same as `test_gdrn.sh`?

But the `texture_paths` is already None as shown in the file https://github.com/shanice-l/gdrnpp_bop2022/blob/67edebe4f74048774e3ed55c2a78d01a22c3ed3a/ref/lmo_full.py#L70

When doing pose refinement, is the args of `test_gdrn_depth_refine.sh` the same as `test_gdrn.sh`?

Maybe only changing `USE_MTL` to `True` can solve the `coor_x` missing issue. Is this right? https://github.com/shanice-l/gdrnpp_bop2022/blob/67edebe4f74048774e3ed55c2a78d01a22c3ed3a/configs/_base_/gdrn_base.py#L21

When doing pose refinement, is the args of `test_gdrn_depth_refine.sh` the same as `test_gdrn.sh`?

Need help. @shanice-l

When doing pose refinement, is the args of `test_gdrn_depth_refine.sh` the same as `test_gdrn.sh`?

Finally, I used below command with setting the `TEST.USE_PNP=True` and get the evaluation result. Is this command right? ``` ./core/gdrn_modeling/test_gdrn_depth_refine.sh configs/gdrn/lmo_pbr/convnext_a6_AugCosyAAEGray_BG05_mlL1_DMask_amodalClipBox_classAware_lmo.py 0 output/gdrn/lmo_pbr/convnext_a6_AugCosyAAEGray_BG05_mlL1_DMask_amodalClipBox_classAware_lmo/model_final_wo_optim.pth TEST.USE_PNP=True ``` The evaluation result ``` 20221108_034030|core.gdrn_modeling.engine.test_utils@453:...