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当我使用以下命令训练模型时，会出现接下来的错误
ns-train bad-nerfacto --pipeline.model.predict-normals True --vis tensorboard --output-dir --data

执行了这个

ns-process-data images --data data/llff_data/blurtanabata/images --output-dir data/bad-nerf/blurtanabata

报错：

[11:22:17] 🎉 Done copying images with prefix 'frame_'.                                        process_data_utils.py:336
[11:22:18] 🎉 Done extracting COLMAP features.                                                       colmap_utils.py:137
──────────────────────────────────────────────  💀 💀 💀 ERROR 💀 💀 💀  ───────────────────────────────────────────────
Error running command: colmap vocab_tree_matcher --database_path data/bad-nerf/blurtanabata/colmap/database.db 
--SiftMatching.use_gpu 1 --VocabTreeMatching.vocab_tree_path 
"/home/mypath/.local/share/nerfstudio/vocab_tree.fbow"
────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
I0314 11:22:19.168327 106309 misc.cc:198] 
==============================================================================
Vocabulary tree feature matching
==============================================================================
E0314 11:22:19.170003 106310 logging.h:125]  Check failed: max_num_matches > 0 (0 vs. 0)
E0314 11:22:19.170055 106310 sift.cc:1219] Check failed: options_.Check() 
terminate called after throwing an instance of 'std::invalid_argument'
  what():   Check failed: options_.Check() 
*** Aborted at 1710415339 (unix time) try "date -d @1710415339" if you are using GNU date ***
PC: @     0x7f29f6afc00b gsignal
*** SIGABRT (@0x13c7f00019f36) received by PID 106294 (TID 0x7f29e94fb000) from PID 106294; stack trace: ***
    @     0x7f29f8305631 (unknown)
    @     0x7f29f82da420 (unknown)
    @     0x7f29f6afc00b gsignal
    @     0x7f29f6adb859 abort
    @     0x7f29f6eb3911 (unknown)
    @     0x7f29f6ebf38c (unknown)
    @     0x7f29f6ebf3f7 std::terminate()
    @     0x7f29f6ebf6a9 __cxa_throw
    @     0x562c7cde9d1a colmap::LogMessageFatalThrow<>::~LogMessageFatalThrow()
    @     0x562c7d561606 colmap::(anonymous namespace)::SiftGPUFeatureMatcher::Create()
    @     0x562c7d561701 colmap::CreateSiftFeatureMatcher()
    @     0x562c7ceadeb0 colmap::FeatureMatcherWorker::Run()
    @     0x562c7cf56e91 colmap::Thread::RunFunc()
    @     0x7f29f6eebde4 (unknown)
    @     0x7f29f82ce609 start_thread
    @     0x7f29f6bd8353 clone

我在我自己的图片数据集上跑colmap相同的指令

colmap vocab_tree_matcher --database_path /home/mypath/projects/data/vol01/database.db --SiftMatching.use_gpu 1 --VocabTreeMatching.vocab_tree_path "/home/mypath/.local/share/nerfstudio/vocab_tree.fbow"

这个就没错。求问是什么情况。感谢！

安装你们的bad-berf后，会影响原有的nerfstudio组件工作，当我在使用ns-export poisson命令时出现错误，其中错误显示如下
Traceback (most recent call last) ────────────────────────────────╮
│ /home/ydf/anaconda3/envs/nerfstudio/bin/ns-export:5 in │
│ │
│ 2 # -- coding: utf-8 -- │
│ 3 import re │
│ 4 import sys │
│ ❱ 5 from nerfstudio.scripts.exporter import entrypoint │
│ 6 if name == 'main': │
│ 7 │ sys.argv[0] = re.sub(r'(-script.pyw|.exe)?$', '', sys.argv[0]) │
│ 8 │ sys.exit(entrypoint()) │
│ │
│ /home/ydf/nerfstudio/nerfstudio/scripts/exporter.py:48 in │
│ │
│ 45 ) │
│ 46 from nerfstudio.fields.sdf_field import SDFField │
│ 47 from nerfstudio.pipelines.base_pipeline import Pipeline, VanillaPipeline │
│ ❱ 48 from nerfstudio.utils.eval_utils import eval_setup │
│ 49 from nerfstudio.utils.rich_utils import CONSOLE │
│ 50 │
│ 51 │
│ │
│ /home/ydf/nerfstudio/nerfstudio/utils/eval_utils.py:28 in │
│ │
│ 25 import torch │
│ 26 import yaml │
│ 27 │
│ ❱ 28 from nerfstudio.configs.method_configs import all_methods │
│ 29 from nerfstudio.data.datamanagers.base_datamanager import VanillaDataManagerConfig │
│ 30 from nerfstudio.engine.trainer import TrainerConfig │
│ 31 from nerfstudio.pipelines.base_pipeline import Pipeline │
│ │
│ /home/ydf/nerfstudio/nerfstudio/configs/method_configs.py:650 in │
│ │
│ 647 │
│ 648 all_methods, all_descriptions = method_configs, descriptions │
│ 649 # Add discovered external methods │
│ ❱ 650 all_methods, all_descriptions = merge_methods(all_methods, all_descriptions, *discover_m │
│ 651 all_methods, all_descriptions = sort_methods(all_methods, all_descriptions) │
│ 652 │
│ 653 # Register all possible external methods which can be installed with Nerfstudio │
│ │
│ /home/ydf/nerfstudio/nerfstudio/plugins/registry.py:43 in discover_methods │
│ │
│ 40 │ descriptions = {} │
│ 41 │ discovered_entry_points = entry_points(group="nerfstudio.method_configs") │
│ 42 │ for name in discovered_entry_points.names: │
│ ❱ 43 │ │ spec = discovered_entry_points[name].load() │
│ 44 │ │ if not isinstance(spec, MethodSpecification): │
│ 45 │ │ │ CONSOLE.print( │
│ 46 │ │ │ │ f"[bold yellow]Warning: Could not entry point {spec} as it is not an ins │
│ │
│ /home/ydf/anaconda3/envs/nerfstudio/lib/python3.9/site-packages/setuptools/_vendor/importlib_met │
│ adata/init.py:208 in load │
│ │
│ 205 │ │ return the named object. │
│ 206 │ │ """ │
│ 207 │ │ match = self.pattern.match(self.value) │
│ ❱ 208 │ │ module = import_module(match.group('module')) │
│ 209 │ │ attrs = filter(None, (match.group('attr') or '').split('.')) │
│ 210 │ │ return functools.reduce(getattr, attrs, module) │
│ 211 │
│ │
│ /home/ydf/anaconda3/envs/nerfstudio/lib/python3.9/importlib/init.py:127 in import_module │
│ │
│ 124 │ │ │ if character != '.': │
│ 125 │ │ │ │ break │
│ 126 │ │ │ level += 1 │
│ ❱ 127 │ return _bootstrap._gcd_import(name[level:], package, level) │
│ 128 │
│ 129 │
│ 130 _RELOADING = {} │
│ │
│ /home/ydf/nerfstudio/extand/BAD-NeRFstudio/badnerf/badnerf_config.py:14 in │
│ │
│ 11 from badnerf.data.badnerf_datamanager import BadNerfDataManagerConfig │
│ 12 from badnerf.data.badnerf_dataparser import BadNerfDataParserConfig │
│ 13 from badnerf.engine.badnerf_vanilla_trainer import BadNerfVanillaTrainerConfig │
│ ❱ 14 from badnerf.models.badnerfacto import BadNerfactoModelConfig │
│ 15 from badnerf.pipelines.badnerf_vanilla_pipeline import BadNerfVanillaPipelineConfig │
│ 16 │
│ 17 badnerf_nerfacto = MethodSpecification( │
│ │
│ /home/ydf/nerfstudio/extand/BAD-NeRFstudio/badnerf/models/badnerfacto.py:28 in │
│ │
│ 25 │
│ 26 │
│ 27 @DataClass │
│ ❱ 28 class BadNerfactoModelConfig(NerfactoModelConfig): │
│ 29 │ """BAD-NeRF-nerfacto Model Config""" │
│ 30 │ │
│ 31 │ _target: Type = field( │
│ │
│ /home/ydf/anaconda3/envs/nerfstudio/lib/python3.9/dataclasses.py:1021 in dataclass │
│ │
│ 1018 │ │ return wrap │
│ 1019 │ │
│ 1020 │ # We're called as @DataClass without parens. │
│ ❱ 1021 │ return wrap(cls) │
│ 1022 │
│ 1023 │
│ 1024 def fields(class_or_instance): │
│ │
│ /home/ydf/anaconda3/envs/nerfstudio/lib/python3.9/dataclasses.py:1013 in wrap │
│ │
│ 1010 │ """ │
│ 1011 │ │
│ 1012 │ def wrap(cls): │
│ ❱ 1013 │ │ return _process_class(cls, init, repr, eq, order, unsafe_hash, frozen) │
│ 1014 │ │
│ 1015 │ # See if we're being called as @DataClass or @DataClass(). │
│ 1016 │ if cls is None: │
│ │
│ /home/ydf/anaconda3/envs/nerfstudio/lib/python3.9/dataclasses.py:927 in _process_class │
│ │
│ 924 │ │ flds = [f for f in fields.values() │
│ 925 │ │ │ │ if f._field_type in (_FIELD, _FIELD_INITVAR)] │
│ 926 │ │ _set_new_attribute(cls, 'init', │
│ ❱ 927 │ │ │ │ │ │ _init_fn(flds, │
│ 928 │ │ │ │ │ │ │ │ │ frozen, │
│ 929 │ │ │ │ │ │ │ │ │ has_post_init, │
│ 930 │ │ │ │ │ │ │ │ │ # The name to use for the "self" │
│ │
│ /home/ydf/anaconda3/envs/nerfstudio/lib/python3.9/dataclasses.py:504 in _init_fn │
│ │
│ 501 │ │ │ if not (f.default is MISSING and f.default_factory is MISSING): │
│ 502 │ │ │ │ seen_default = True │
│ 503 │ │ │ elif seen_default: │
│ ❱ 504 │ │ │ │ raise TypeError(f'non-default argument {f.name!r} ' │
│ 505 │ │ │ │ │ │ │ │ 'follows default argument') │
│ 506 │ │
│ 507 │ locals = {f'type{f.name}': f.type for f in fields} │
╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
TypeError: non-default argument 'camera_optimizer' follows default argument