open-mmlab/mmyolo

模型测试问题

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3232731490 commented

Prerequisite

🐞 Describe the bug

模型训练完后想对模型进行测试，但是测试集没有标注文件，我将test_dataloader中设置ann_file=''，但是框架依旧会去加载标注文件，没找到就会报错，这个问题应该如何解决
Traceback (most recent call last):
File "tools/test.py", line 158, in
main()
File "tools/test.py", line 150, in main
runner.test_evaluator.metrics.append(
File "/data/nl/miniconda3/envs/mmyolo/lib/python3.8/site-packages/mmengine/runner/runner.py", line 635, in test_evaluator
return self.test_loop.evaluator
File "/data/nl/miniconda3/envs/mmyolo/lib/python3.8/site-packages/mmengine/runner/runner.py", line 609, in test_loop
self._test_loop = self.build_test_loop(self._test_loop)
File "/data/nl/miniconda3/envs/mmyolo/lib/python3.8/site-packages/mmengine/runner/runner.py", line 1604, in build_test_loop
loop = LOOPS.build(
File "/data/nl/miniconda3/envs/mmyolo/lib/python3.8/site-packages/mmengine/registry/registry.py", line 570, in build
return self.build_func(cfg, *args, **kwargs, registry=self)
File "/data/nl/miniconda3/envs/mmyolo/lib/python3.8/site-packages/mmengine/registry/build_functions.py", line 121, in build_from_cfg
obj = obj_cls(**args) # type: ignore
File "/data/nl/miniconda3/envs/mmyolo/lib/python3.8/site-packages/mmengine/runner/loops.py", line 418, in init
super().init(runner, dataloader)
File "/data/nl/miniconda3/envs/mmyolo/lib/python3.8/site-packages/mmengine/runner/base_loop.py", line 26, in init
self.dataloader = runner.build_dataloader(
File "/data/nl/miniconda3/envs/mmyolo/lib/python3.8/site-packages/mmengine/runner/runner.py", line 1370, in build_dataloader
dataset = DATASETS.build(dataset_cfg)
File "/data/nl/miniconda3/envs/mmyolo/lib/python3.8/site-packages/mmengine/registry/registry.py", line 570, in build
return self.build_func(cfg, *args, **kwargs, registry=self)
File "/data/nl/miniconda3/envs/mmyolo/lib/python3.8/site-packages/mmengine/registry/build_functions.py", line 121, in build_from_cfg
obj = obj_cls(**args) # type: ignore
File "/data/nl/WorkSpace/mmyolo/mmyolo/datasets/yolov5_coco.py", line 19, in init
super().init(*args, **kwargs)
File "/data/nl/miniconda3/envs/mmyolo/lib/python3.8/site-packages/mmdet/datasets/base_det_dataset.py", line 40, in init
super().init(*args, **kwargs)
File "/data/nl/miniconda3/envs/mmyolo/lib/python3.8/site-packages/mmengine/dataset/base_dataset.py", line 247, in init
self.full_init()
File "/data/nl/WorkSpace/mmyolo/mmyolo/datasets/yolov5_coco.py", line 27, in full_init
self.data_list = self.load_data_list()
File "/data/nl/miniconda3/envs/mmyolo/lib/python3.8/site-packages/mmdet/datasets/coco.py", line 67, in load_data_list
self.coco = self.COCOAPI(local_path)
File "/data/nl/miniconda3/envs/mmyolo/lib/python3.8/site-packages/mmdet/datasets/api_wrappers/coco_api.py", line 25, in init
super().init(annotation_file=annotation_file)
File "/data/nl/miniconda3/envs/mmyolo/lib/python3.8/site-packages/pycocotools/coco.py", line 81, in init
with open(annotation_file, 'r') as f:
FileNotFoundError: [Errno 2] No such file or directory: ''

=============================================================================
这里是我的test_loader设置
test_pipeline = [
dict(type='LoadImageFromFile', backend_args=base.backend_args),
dict(type='mmdet.Resize', scale=img_scale, keep_ratio=True),
dict(type='mmdet.Pad', size=img_scale, pad_val=dict(img=(114, 114, 114))),
dict(
type='mmdet.PackDetInputs',
meta_keys=('img_id', 'img_path', 'ori_shape', 'img_shape',
'scale_factor'))
]

test_dataloader = dict(
dataset=dict(
type=dataset_type,
data_root=data_root,
# ann_file='', # test set has no annotation
data_prefix=dict(img=test_data_prefix),
pipeline=test_pipeline))

Environment

sys.platform: linux
Python: 3.8.19 (default, Mar 20 2024, 19:58:24) [GCC 11.2.0]
CUDA available: True
MUSA available: False
numpy_random_seed: 2147483648
GPU 0,1: NVIDIA A40
CUDA_HOME: /usr/local/cuda
NVCC: Cuda compilation tools, release 12.0, V12.0.76
GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0
PyTorch: 1.10.1
PyTorch compiling details: PyTorch built with:

  • GCC 7.3
  • C++ Version: 201402
  • Intel(R) oneAPI Math Kernel Library Version 2023.1-Product Build 20230303 for Intel(R) 64 architecture applications
  • Intel(R) MKL-DNN v2.2.3 (Git Hash 7336ca9f055cf1bfa13efb658fe15dc9b41f0740)
  • OpenMP 201511 (a.k.a. OpenMP 4.5)
  • LAPACK is enabled (usually provided by MKL)
  • NNPACK is enabled
  • CPU capability usage: AVX512
  • CUDA Runtime 11.3
  • NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37
  • CuDNN 8.2
  • Magma 2.5.2
  • Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.10.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON,

TorchVision: 0.11.2
OpenCV: 4.9.0
MMEngine: 0.10.3
MMCV: 2.0.1
MMDetection: 3.0.0
MMYOLO: 0.6.0+5ac5a87

Additional information

No response