训练之后报错

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Initializing renderer... Traceback (most recent call last): File "/home/eric/gdrnpp1/lib/pysixd/scripts/eval_calc_errors.py", line 216, in ren = renderer.create_renderer(width, height, p["renderer_type"], mode="depth") File "/home/eric/gdrnpp1/lib/pysixd/scripts/../../../lib/pysixd/renderer.py", line 106, in create_renderer return renderer_cpp.RendererCpp(width, height) File "/home/eric/gdrnpp1/lib/pysixd/scripts/../../../lib/pysixd/renderer_cpp.py", line 23, in init self.renderer = bop_renderer.Renderer() AttributeError: module 'bop_renderer' has no attribute 'Renderer' Traceback (most recent call last): File "lib/pysixd/scripts/eval_pose_results_more.py", line 301, in raise RuntimeError("Calculation of pose errors failed.") RuntimeError: Calculation of pose errors failed. 20240912_185056|WRN|core.gdrn_modeling.engine.test_utils@71: evaluation failed. 0%| | 0/1 [00:00<?, ?it/s]20240912_185056|core.gdrn_modeling.engine.test_utils@379: ===================================================================== 20240912_185056|core.gdrn_modeling.engine.test_utils@411: ****convnext-a6-AugCosyAAEGray-BG05-mlL1-DMask-amodalClipBox-classAware-lmo-iter0_lmo-test * 20240912_185056|core.gdrn_modeling.engine.test_utils@417: objects mspd_5:50 ape 49.03 can 58.29 cat 69.82 driller 35.65 duck 67.67 eggbox 26.39 glue 48.93 holepuncher 51.60 Avg(8) 50.76 20240912_185056|core.gdrn_modeling.engine.test_utils@411: ****convnext-a6-AugCosyAAEGray-BG05-mlL1-DMask-amodalClipBox-classAware-lmo-iter0_lmo-test * 20240912_185056|core.gdrn_modeling.engine.test_utils@417: objects mssd_0.050:0.500 ape 11.03 can 31.81 cat 31.35 driller 29.55 duck 13.67 eggbox 2.50 glue 33.79 holepuncher 26.10 Avg(8) 22.42 0%| | 0/1 [00:00<?, ?it/s]20240912_185056|WRN|core.gdrn_modeling.engine.test_utils@422: output/gdrn/lmo_pbr/convnext_a6_AugCosyAAEGray_BG05_mlL1_DMask_amodalClipBox_classAwarelmo/inference/lmo_bop_test/convnext-a6-AugCosyAAEGray-BG05-mlL1-DMask-amodalClipBox-classAware-lmo-iter0_lmo-test/error:vsd_ntop:1_delta:15.000_tau:0.050 does not exist.

20240912_185056|ERR|main@233: An error has been caught in function '', process 'MainProcess' (8095), thread 'MainThread' (140481381789824): Traceback (most recent call last):

File "./core/gdrn_modeling/main_gdrn.py", line 233, in main(args) │ └ Namespace(config_file='configs/gdrn/lmo_pbr/convnext_a6_AugCosyAAEGray_BG05_mlL1_DMask_amodalClipBox_classAware_lmo.py', dist... └ <function main at 0x7fc365e24430>

File "./core/gdrn_modeling/main_gdrn.py", line 199, in main Lite( └ <class 'main.Lite'>

File "/home/eric/anaconda3/envs/ce/lib/python3.8/site-packages/pytorch_lightning/lite/lite.py", line 408, in _run_impl return run_method(*args, *kwargs) │ │ └ {} │ └ (Namespace(config_file='configs/gdrn/lmo_pbr/convnext_a6_AugCosyAAEGray_BG05_mlL1_DMask_amodalClipBox_classAware_lmo.py', dis... └ functools.partial(<bound method LightningLite._run_with_strategy_setup of <main.Lite object at 0x7fc45ec55e20>>, <bound m... File "/home/eric/anaconda3/envs/ce/lib/python3.8/site-packages/pytorch_lightning/lite/lite.py", line 413, in _run_with_strategy_setup return run_method(args, **kwargs) │ │ └ {} │ └ (Namespace(config_file='configs/gdrn/lmo_pbr/convnext_a6_AugCosyAAEGray_BG05_mlL1_DMask_amodalClipBox_classAware_lmo.py', dis... └ <bound method Lite.run of <main.Lite object at 0x7fc45ec55e20>>

File "./core/gdrn_modeling/main_gdrn.py", line 189, in run return self.do_test(cfg, model) │ │ │ └ _LiteModule( │ │ │ (_module): GDRN_DoubleMask( │ │ │ (backbone): FeatureListNet( │ │ │ (stem_0): Conv2d(3, 128, kernel_size=(4, 4),... │ │ └ Config (path: configs/gdrn/lmo_pbr/convnext_a6_AugCosyAAEGray_BG05_mlL1_DMask_amodalClipBox_classAware_lmo.py): {'OUTPUT_ROOT... │ └ <function GDRN_Lite.do_test at 0x7fc36618f0d0> └ <main.Lite object at 0x7fc45ec55e20>

File "/home/eric/gdrnpp1/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: configs/gdrn/lmo_pbr/convnext_a6_AugCosyAAEGray_BG05_mlL1_DMask_amodalClipBox_classAware_lmo.py): {'OUTPUT_ROOT... │ │ │ │ └ <core.gdrn_modeling.engine.gdrn_evaluator.GDRN_Evaluator object at 0x7fc3d5929250> │ │ │ └ <pytorch_lightning.lite.wrappers._LiteDataLoader object at 0x7fc3d57a0280> │ │ └ _LiteModule( │ │ (_module): GDRN_DoubleMask( │ │ (backbone): FeatureListNet( │ │ (stem_0): Conv2d(3, 128, kernel_size=(4, 4),... │ └ Config (path: configs/gdrn/lmo_pbr/convnext_a6_AugCosyAAEGray_BG05_mlL1_DMask_amodalClipBox_classAware_lmo.py): {'OUTPUT_ROOT... └ <function gdrn_inference_on_dataset at 0x7fc3661d0dc0>

File "/home/eric/gdrnpp1/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 0x7fc3661e6d30> └ <core.gdrn_modeling.engine.gdrn_evaluator.GDRN_Evaluator object at 0x7fc3d5929250>

File "/home/eric/gdrnpp1/core/gdrn_modeling/../../core/gdrn_modeling/engine/gdrn_evaluator.py", line 584, in evaluate return self._eval_predictions() │ └ <function GDRN_Evaluator._eval_predictions at 0x7fc3661e6dc0> └ <core.gdrn_modeling.engine.gdrn_evaluator.GDRN_Evaluator object at 0x7fc3d5929250>

File "/home/eric/gdrnpp1/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, 5, 6, 8, 9, 10, 11, 12] │ │ │ │ │ │ └ <core.gdrn_modeling.engine.gdrn_evaluator.GDRN_Evaluator object at 0x7fc3d5929250> │ │ │ │ │ └ 'output/gdrn/lmo_pbr/convnext_a6_AugCosyAAEGray_BG05_mlL1_DMask_amodalClipBox_classAwarelmo/inference/lmo_bop_test' │ │ │ │ └ <core.gdrn_modeling.engine.gdrn_evaluator.GDRN_Evaluator object at 0x7fc3d5929250> │ │ │ └ {'iter0': [{'scene_id': '2', 'im_id': 3, 'obj_id': 1, 'score': tensor(0.0522, dtype=torch.float64), 'R': [0.8363087177276611,... │ │ └ Config (path: configs/gdrn/lmo_pbr/convnext_a6_AugCosyAAEGray_BG05_mlL1_DMask_amodalClipBox_classAware_lmo.py): {'OUTPUT_ROOT... │ └ <core.gdrn_modeling.engine.gdrn_evaluator.GDRN_Evaluator object at 0x7fc3d5929250> └ <function save_and_eval_results at 0x7fc3661e6160>

File "/home/eric/gdrnpp1/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 0x7fc3661e6790>

File "/home/eric/gdrnpp1/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/lmo_pbr/convnext_a6_AugCosyAAEGray_BG05_mlL1_DMask_amodalClipBox_classAwarelmo/inference/lmo_bop_test/convnext...

RuntimeError: output/gdrn/lmo_pbr/convnext_a6_AugCosyAAEGray_BG05_mlL1_DMask_amodalClipBox_classAwarelmo/inference/lmo_bop_test/convnext-a6-AugCosyAAEGray-BG05-mlL1-DMask-amodalClipBox-classAware-lmo-iter0_lmo-test/error:vsd_ntop:1_delta:15.000_tau:0.050 does not exist.

在lmo数据集上训练，报上述错误，应该与bop_render相关，但是已经安装和编译通过了，用脚本测试时也报错：AttributeError: module 'bop_renderer' has no attribute 'Renderer'，求解决方案。

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@shanice-l @wangg12 @monajalal @AmanSriv97 急需各位大佬的帮助，先行感谢

[wangg12]

https://github.com/shanice-l/gdrnpp_bop2022/issues/32

[1230678]

@wangg12 您好，我将bop_renderer安装在了gdrnpp下，之前也试过软链接，但是训练之后报错AttributeError: module 'bop_renderer' has no attribute 'Renderer'