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shanice-l / gdrnpp_bop2022

PyTorch Implementation of GDRNPP, winner (most of the awards) of the BOP Challenge 2022 at ECCV'22
Apache License 2.0
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ModuleNotFoundError: No module named 'bop_renderer' #32

Open JJHuang127 opened 1 year ago

JJHuang127 commented 1 year ago

Hi, I have a problem when eval the pretrained model with T-less dataset. Is there any way to fix it?

import bop_renderer ModuleNotFoundError: No module named 'bop_renderer' Traceback (most recent call last): File "/home/lab/Desktop/gdrnpp_bop2022-main/lib/pysixd/scripts/eval_pose_results_more.py", line 301, in <module> raise RuntimeError("Calculation of pose errors failed.") RuntimeError: Calculation of pose errors failed.

wangg12 commented 1 year ago

Have you correctly set up bop_renderer?

Martin9797 commented 1 year ago

For me, when building the bop renderer, the file bop_renderer.cpython-37m-x86_64-linux-gnu.so was located in the 'build' folder. This is the file you'll want, so I changed the bop_renderer_path in the file ./lib/pysixd/renderer_cpp.py, line 13 (or before the import bop_renderer) like this: bop_renderer_path = "/path/to/the/bop_renderer/build/" and after that sys.path.append(bop_renderer_path) . That worked for me.

wangg12 commented 1 year ago

For me, when building the bop renderer, the file bop_renderer.cpython-37m-x86_64-linux-gnu.so was located in the 'build' folder. This is the file you'll want, so I changed the bop_renderer_path in the file ./lib/pysixd/renderer_cpp.py, line 13 like this: bop_renderer_path = "/path/to/the/bop_renderer/build/" . That worked for me.

There is no need to change the path. Just soft linking the path to bop_renderer to the project root is fine.

JJHuang127 commented 1 year ago

Hi, Thanks for the help. I install bop_renderer correctly and softlink it to GDRNPP. but after that I got this new error about VSD when testing on T-Less with pretrained model. Is there any way to fix it?

20230227_195504|WRN|core.gdrn_modeling.engine.test_utils:load_and_print_val_scores_tab@422: output/gdrn/tless/convnext_a6_AugCosyAAEGray_BG05_mlL1_DMask_amodalClipBox_classAware_tless/inference_model_final_wo_optim/tless_bop_test_primesense/convnext-a6-AugCosyAAEGray-BG05-mlL1-DMask-amodalClipBox-classAware-tless-test-iter0_tless-test/error:vsd_ntop:-1_delta:15.000_tau:0.050 does not exist.
20230227_195504|ERR|__main__:<module>@233: An error has been caught in function '<module>', process 'MainProcess' (2293680), thread 'MainThread' (139632199861056):
Traceback (most recent call last):

> File "/home/lab/Desktop/gdrnpp_bop2022-main/./core/gdrn_modeling/main_gdrn.py", line 233, in <module>
    main(args)
    │    └ Namespace(config_file='/home/lab/Desktop/gdrnpp_bop2022-main/configs/gdrn/tless/convnext_a6_AugCosyAAEGray_BG05_mlL1_...
    └ <function main at 0x7efd71471dc0>

  File "/home/lab/Desktop/gdrnpp_bop2022-main/./core/gdrn_modeling/main_gdrn.py", line 199, in main
    Lite(
    └ <class '__main__.Lite'>

  File "/home/lab/miniconda3/lib/python3.9/site-packages/pytorch_lightning/lite/lite.py", line 402, in _run_impl
    return run_method(*args, **kwargs)
           │           │       └ {}
           │           └ (Namespace(config_file='/home/lab/Desktop/gdrnpp_bop2022-main/configs/gdrn/tless/convnext_a6_AugCosyAAEGray_BG05_mlL1...
           └ functools.partial(<bound method LightningLite._run_with_strategy_setup of <__main__.Lite object at 0x7efd71693eb0>>, <bound m...
  File "/home/lab/miniconda3/lib/python3.9/site-packages/pytorch_lightning/lite/lite.py", line 409, in _run_with_strategy_setup
    return run_method(*args, **kwargs)
           │           │       └ {}
           │           └ (Namespace(config_file='/home/lab/Desktop/gdrnpp_bop2022-main/configs/gdrn/tless/convnext_a6_AugCosyAAEGray_BG05_mlL1...
           └ <bound method Lite.run of <__main__.Lite object at 0x7efd71693eb0>>

  File "/home/lab/Desktop/gdrnpp_bop2022-main/./core/gdrn_modeling/main_gdrn.py", line 183, in run
    return self.do_test(cfg, model)
           │    │       │    └ _LiteModule(
           │    │       │        (_forward_module): GDRN_DoubleMask(
           │    │       │          (backbone): FeatureListNet(
           │    │       │            (stem_0): Conv2d(3, 128, kernel_size...
           │    │       └ Config (path: /home/lab/Desktop/gdrnpp_bop2022-main/configs/gdrn/tless/convnext_a6_AugCosyAAEGray_BG05_mlL1_DMask_amo...
           │    └ <function GDRN_Lite.do_test at 0x7efd715fe940>
           └ <__main__.Lite object at 0x7efd71693eb0>

  File "/home/lab/Desktop/gdrnpp_bop2022-main/core/gdrn_modeling/../../core/gdrn_modeling/engine/engine.py", line 159, in do_test
    results_i = gdrn_inference_on_dataset(cfg, model, data_loader, evaluator, amp_test=cfg.TEST.AMP_TEST)
                │                         │    │      │            │                   └ Config (path: /home/lab/Desktop/gdrnpp_bop2022-main/configs/gdrn/tless/convnext_a6_AugCosyAAEGray_BG05_mlL1_DMask_amo...
                │                         │    │      │            └ <core.gdrn_modeling.engine.gdrn_evaluator.GDRN_Evaluator object at 0x7efd76d5f220>
                │                         │    │      └ <pytorch_lightning.lite.wrappers._LiteDataLoader object at 0x7efd701310a0>
                │                         │    └ _LiteModule(
                │                         │        (_forward_module): GDRN_DoubleMask(
                │                         │          (backbone): FeatureListNet(
                │                         │            (stem_0): Conv2d(3, 128, kernel_size...
                │                         └ Config (path: /home/lab/Desktop/gdrnpp_bop2022-main/configs/gdrn/tless/convnext_a6_AugCosyAAEGray_BG05_mlL1_DMask_amo...
                └ <function gdrn_inference_on_dataset at 0x7efd71640670>

  File "/home/lab/Desktop/gdrnpp_bop2022-main/core/gdrn_modeling/../../core/gdrn_modeling/engine/gdrn_evaluator.py", line 804, in gdrn_inference_on_dataset
    results = evaluator.evaluate()  # results is always None
              │         └ <function GDRN_Evaluator.evaluate at 0x7efd715d1550>
              └ <core.gdrn_modeling.engine.gdrn_evaluator.GDRN_Evaluator object at 0x7efd76d5f220>

  File "/home/lab/Desktop/gdrnpp_bop2022-main/core/gdrn_modeling/../../core/gdrn_modeling/engine/gdrn_evaluator.py", line 584, in evaluate
    return self._eval_predictions()
           │    └ <function GDRN_Evaluator._eval_predictions at 0x7efd715d15e0>
           └ <core.gdrn_modeling.engine.gdrn_evaluator.GDRN_Evaluator object at 0x7efd76d5f220>

  File "/home/lab/Desktop/gdrnpp_bop2022-main/core/gdrn_modeling/../../core/gdrn_modeling/engine/gdrn_evaluator.py", line 595, in _eval_predictions
    save_and_eval_results(self.cfg, results_all, self._output_dir, obj_ids=self.obj_ids)
    │                     │    │    │            │    │                    │    └ [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30]
    │                     │    │    │            │    │                    └ <core.gdrn_modeling.engine.gdrn_evaluator.GDRN_Evaluator object at 0x7efd76d5f220>
    │                     │    │    │            │    └ 'output/gdrn/tless/convnext_a6_AugCosyAAEGray_BG05_mlL1_DMask_amodalClipBox_classAware_tless/inference_model_final_wo_optim/t...
    │                     │    │    │            └ <core.gdrn_modeling.engine.gdrn_evaluator.GDRN_Evaluator object at 0x7efd76d5f220>
    │                     │    │    └ {'iter0': [{'scene_id': '1', 'im_id': 1, 'obj_id': 2, 'score': tensor(0.9654, dtype=torch.float64), 'R': [-0.9439048171043396...
    │                     │    └ Config (path: /home/lab/Desktop/gdrnpp_bop2022-main/configs/gdrn/tless/convnext_a6_AugCosyAAEGray_BG05_mlL1_DMask_amo...
    │                     └ <core.gdrn_modeling.engine.gdrn_evaluator.GDRN_Evaluator object at 0x7efd76d5f220>
    └ <function save_and_eval_results at 0x7efd71640940>

  File "/home/lab/Desktop/gdrnpp_bop2022-main/core/gdrn_modeling/../../core/gdrn_modeling/engine/test_utils.py", line 73, in save_and_eval_results
    load_and_print_val_scores_tab(
    └ <function load_and_print_val_scores_tab at 0x7efd71640f70>

  File "/home/lab/Desktop/gdrnpp_bop2022-main/core/gdrn_modeling/../../core/gdrn_modeling/engine/test_utils.py", line 423, in load_and_print_val_scores_tab
    raise RuntimeError("{} does not exist.".format(score_root))
                                                   └ 'output/gdrn/tless/convnext_a6_AugCosyAAEGray_BG05_mlL1_DMask_amodalClipBox_classAware_tless/inference_model_final_wo_optim/t...

RuntimeError: output/gdrn/tless/convnext_a6_AugCosyAAEGray_BG05_mlL1_DMask_amodalClipBox_classAware_tless/inference_model_final_wo_optim/tless_bop_test_primesense/convnext-a6-AugCosyAAEGray-BG05-mlL1-DMask-amodalClipBox-classAware-tless-test-iter0_tless-test/error:vsd_ntop:-1_delta:15.000_tau:0.050 does not exist.
tsrobcvai commented 6 months ago

Hi, Thanks for the help. I install bop_renderer correctly and softlink it to GDRNPP. but after that I got this new error about VSD when testing on T-Less with pretrained model. Is there any way to fix it?

20230227_195504|WRN|core.gdrn_modeling.engine.test_utils:load_and_print_val_scores_tab@422: output/gdrn/tless/convnext_a6_AugCosyAAEGray_BG05_mlL1_DMask_amodalClipBox_classAware_tless/inference_model_final_wo_optim/tless_bop_test_primesense/convnext-a6-AugCosyAAEGray-BG05-mlL1-DMask-amodalClipBox-classAware-tless-test-iter0_tless-test/error:vsd_ntop:-1_delta:15.000_tau:0.050 does not exist.
20230227_195504|ERR|__main__:<module>@233: An error has been caught in function '<module>', process 'MainProcess' (2293680), thread 'MainThread' (139632199861056):
Traceback (most recent call last):

> File "/home/lab/Desktop/gdrnpp_bop2022-main/./core/gdrn_modeling/main_gdrn.py", line 233, in <module>
    main(args)
    │    └ Namespace(config_file='/home/lab/Desktop/gdrnpp_bop2022-main/configs/gdrn/tless/convnext_a6_AugCosyAAEGray_BG05_mlL1_...
    └ <function main at 0x7efd71471dc0>

  File "/home/lab/Desktop/gdrnpp_bop2022-main/./core/gdrn_modeling/main_gdrn.py", line 199, in main
    Lite(
    └ <class '__main__.Lite'>

  File "/home/lab/miniconda3/lib/python3.9/site-packages/pytorch_lightning/lite/lite.py", line 402, in _run_impl
    return run_method(*args, **kwargs)
           │           │       └ {}
           │           └ (Namespace(config_file='/home/lab/Desktop/gdrnpp_bop2022-main/configs/gdrn/tless/convnext_a6_AugCosyAAEGray_BG05_mlL1...
           └ functools.partial(<bound method LightningLite._run_with_strategy_setup of <__main__.Lite object at 0x7efd71693eb0>>, <bound m...
  File "/home/lab/miniconda3/lib/python3.9/site-packages/pytorch_lightning/lite/lite.py", line 409, in _run_with_strategy_setup
    return run_method(*args, **kwargs)
           │           │       └ {}
           │           └ (Namespace(config_file='/home/lab/Desktop/gdrnpp_bop2022-main/configs/gdrn/tless/convnext_a6_AugCosyAAEGray_BG05_mlL1...
           └ <bound method Lite.run of <__main__.Lite object at 0x7efd71693eb0>>

  File "/home/lab/Desktop/gdrnpp_bop2022-main/./core/gdrn_modeling/main_gdrn.py", line 183, in run
    return self.do_test(cfg, model)
           │    │       │    └ _LiteModule(
           │    │       │        (_forward_module): GDRN_DoubleMask(
           │    │       │          (backbone): FeatureListNet(
           │    │       │            (stem_0): Conv2d(3, 128, kernel_size...
           │    │       └ Config (path: /home/lab/Desktop/gdrnpp_bop2022-main/configs/gdrn/tless/convnext_a6_AugCosyAAEGray_BG05_mlL1_DMask_amo...
           │    └ <function GDRN_Lite.do_test at 0x7efd715fe940>
           └ <__main__.Lite object at 0x7efd71693eb0>

  File "/home/lab/Desktop/gdrnpp_bop2022-main/core/gdrn_modeling/../../core/gdrn_modeling/engine/engine.py", line 159, in do_test
    results_i = gdrn_inference_on_dataset(cfg, model, data_loader, evaluator, amp_test=cfg.TEST.AMP_TEST)
                │                         │    │      │            │                   └ Config (path: /home/lab/Desktop/gdrnpp_bop2022-main/configs/gdrn/tless/convnext_a6_AugCosyAAEGray_BG05_mlL1_DMask_amo...
                │                         │    │      │            └ <core.gdrn_modeling.engine.gdrn_evaluator.GDRN_Evaluator object at 0x7efd76d5f220>
                │                         │    │      └ <pytorch_lightning.lite.wrappers._LiteDataLoader object at 0x7efd701310a0>
                │                         │    └ _LiteModule(
                │                         │        (_forward_module): GDRN_DoubleMask(
                │                         │          (backbone): FeatureListNet(
                │                         │            (stem_0): Conv2d(3, 128, kernel_size...
                │                         └ Config (path: /home/lab/Desktop/gdrnpp_bop2022-main/configs/gdrn/tless/convnext_a6_AugCosyAAEGray_BG05_mlL1_DMask_amo...
                └ <function gdrn_inference_on_dataset at 0x7efd71640670>

  File "/home/lab/Desktop/gdrnpp_bop2022-main/core/gdrn_modeling/../../core/gdrn_modeling/engine/gdrn_evaluator.py", line 804, in gdrn_inference_on_dataset
    results = evaluator.evaluate()  # results is always None
              │         └ <function GDRN_Evaluator.evaluate at 0x7efd715d1550>
              └ <core.gdrn_modeling.engine.gdrn_evaluator.GDRN_Evaluator object at 0x7efd76d5f220>

  File "/home/lab/Desktop/gdrnpp_bop2022-main/core/gdrn_modeling/../../core/gdrn_modeling/engine/gdrn_evaluator.py", line 584, in evaluate
    return self._eval_predictions()
           │    └ <function GDRN_Evaluator._eval_predictions at 0x7efd715d15e0>
           └ <core.gdrn_modeling.engine.gdrn_evaluator.GDRN_Evaluator object at 0x7efd76d5f220>

  File "/home/lab/Desktop/gdrnpp_bop2022-main/core/gdrn_modeling/../../core/gdrn_modeling/engine/gdrn_evaluator.py", line 595, in _eval_predictions
    save_and_eval_results(self.cfg, results_all, self._output_dir, obj_ids=self.obj_ids)
    │                     │    │    │            │    │                    │    └ [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30]
    │                     │    │    │            │    │                    └ <core.gdrn_modeling.engine.gdrn_evaluator.GDRN_Evaluator object at 0x7efd76d5f220>
    │                     │    │    │            │    └ 'output/gdrn/tless/convnext_a6_AugCosyAAEGray_BG05_mlL1_DMask_amodalClipBox_classAware_tless/inference_model_final_wo_optim/t...
    │                     │    │    │            └ <core.gdrn_modeling.engine.gdrn_evaluator.GDRN_Evaluator object at 0x7efd76d5f220>
    │                     │    │    └ {'iter0': [{'scene_id': '1', 'im_id': 1, 'obj_id': 2, 'score': tensor(0.9654, dtype=torch.float64), 'R': [-0.9439048171043396...
    │                     │    └ Config (path: /home/lab/Desktop/gdrnpp_bop2022-main/configs/gdrn/tless/convnext_a6_AugCosyAAEGray_BG05_mlL1_DMask_amo...
    │                     └ <core.gdrn_modeling.engine.gdrn_evaluator.GDRN_Evaluator object at 0x7efd76d5f220>
    └ <function save_and_eval_results at 0x7efd71640940>

  File "/home/lab/Desktop/gdrnpp_bop2022-main/core/gdrn_modeling/../../core/gdrn_modeling/engine/test_utils.py", line 73, in save_and_eval_results
    load_and_print_val_scores_tab(
    └ <function load_and_print_val_scores_tab at 0x7efd71640f70>

  File "/home/lab/Desktop/gdrnpp_bop2022-main/core/gdrn_modeling/../../core/gdrn_modeling/engine/test_utils.py", line 423, in load_and_print_val_scores_tab
    raise RuntimeError("{} does not exist.".format(score_root))
                                                   └ 'output/gdrn/tless/convnext_a6_AugCosyAAEGray_BG05_mlL1_DMask_amodalClipBox_classAware_tless/inference_model_final_wo_optim/t...

RuntimeError: output/gdrn/tless/convnext_a6_AugCosyAAEGray_BG05_mlL1_DMask_amodalClipBox_classAware_tless/inference_model_final_wo_optim/tless_bop_test_primesense/convnext-a6-AugCosyAAEGray-BG05-mlL1-DMask-amodalClipBox-classAware-tless-test-iter0_tless-test/error:vsd_ntop:-1_delta:15.000_tau:0.050 does not exist.

Hi, unfortunately, I also met this issue. Have you solved it? Appreciate any comments.

tourin1992 commented 3 months ago

For me, when building the bop renderer, the file bop_renderer.cpython-37m-x86_64-linux-gnu.so was located in the 'build' folder. This is the file you'll want, so I changed the bop_renderer_path in the file ./lib/pysixd/renderer_cpp.py, line 13 (or before the import bop_renderer) like this: bop_renderer_path = "/path/to/the/bop_renderer/build/" and after that sys.path.append(bop_renderer_path) . That worked for me.

This path can be also set in here: gdrnpp_bop2022/lib/pysixd/config.py, line 32