lack the dronevehicle_m.py , can u provide the dronevehicle.py file?

[jimuIee]

No description provided.

[kaka-Cao]

Hello, the file path is here
https://github.com/icey-zhang/E2E-MFD/blob/main/tools/cfg/dronevehicle_m.py,
https://github.com/icey-zhang/E2E-MFD/blob/main/mmrotate/datasets/dronevehicle.py.
In addition, we have modified some source codes in the mmcv library and mmdet library. The mmcv and mmdet libraries with modified codes are already provided. If you want to install the source code yourself, the source code installation may cause the loss of our modified parts. Therefore, after installation, you need to replace the following files in the source code installation library with the files in our warehouse. The specific modified files are:
mmdet/datasets/pipelines/formatting.py
mmdet/datasets/pipelines/transforms.py
mmdet/models/detectors/base.py
mmcv/runner/hooks/optimizer.py
In addition to the above, if you still encounter the situation of a lack of files, you can find them in this warehouse. Thank you for your attention

[jimuIee]

作者您好，请问可以提供你们代码运行环境的环境配置吗，我根据你们提供的log文件对比了一下，但是运行train.py时一直报错
/home/lzk/mydata/anaconda3/envs/E2E-MFD/lib/python3.9/site-packages/mmrotate-0.3.4-py3.9.egg/mmcv/init.py:20: UserWarning: On January 1, 2023, MMCV will release v2.0.0, in which it will remove components related to the training process and add a data transformation module. In addition, it will rename the package names mmcv to mmcv-lite and mmcv-full to mmcv. See https://github.com/open-mmlab/mmcv/blob/master/docs/en/compatibility.md for more details.
warnings.warn(
Traceback (most recent call last):
File "/mnt/home/lzk/E2E-MFD-main/./tools/train.py", line 13, in
from mmcv.runner import get_dist_info, init_dist
File "/home/lzk/mydata/anaconda3/envs/E2E-MFD/lib/python3.9/site-packages/mmrotate-0.3.4-py3.9.egg/mmcv/runner/init.py", line 3, in
from .base_runner import BaseRunner
File "/home/lzk/mydata/anaconda3/envs/E2E-MFD/lib/python3.9/site-packages/mmrotate-0.3.4-py3.9.egg/mmcv/runner/base_runner.py", line 19, in
from .hooks import HOOKS, Hook
File "/home/lzk/mydata/anaconda3/envs/E2E-MFD/lib/python3.9/site-packages/mmrotate-0.3.4-py3.9.egg/mmcv/runner/hooks/init.py", line 26, in
from .optimizer import (Fp16OptimizerHook, GradientCumulativeFp16OptimizerHook,
File "/home/lzk/mydata/anaconda3/envs/E2E-MFD/lib/python3.9/site-packages/mmrotate-0.3.4-py3.9.egg/mmcv/runner/hooks/optimizer.py", line 17, in
from mmrotate.adm.optim import *
File "/home/lzk/mydata/anaconda3/envs/E2E-MFD/lib/python3.9/site-packages/mmrotate-0.3.4-py3.9.egg/mmrotate/init.py", line 5, in
from .core import * # noqa: F401, F403
File "/home/lzk/mydata/anaconda3/envs/E2E-MFD/lib/python3.9/site-packages/mmrotate-0.3.4-py3.9.egg/mmrotate/core/init.py", line 2, in
from .anchor import * # noqa: F401, F403
File "/home/lzk/mydata/anaconda3/envs/E2E-MFD/lib/python3.9/site-packages/mmrotate-0.3.4-py3.9.egg/mmrotate/core/anchor/init.py", line 2, in
from .anchor_generator import PseudoAnchorGenerator, RotatedAnchorGenerator
File "/home/lzk/mydata/anaconda3/envs/E2E-MFD/lib/python3.9/site-packages/mmrotate-0.3.4-py3.9.egg/mmrotate/core/anchor/anchor_generator.py", line 4, in
from mmdet.core.anchor import AnchorGenerator
File "/home/lzk/mydata/anaconda3/envs/E2E-MFD/lib/python3.9/site-packages/mmdet/core/init.py", line 3, in
from .bbox import * # noqa: F401, F403
File "/home/lzk/mydata/anaconda3/envs/E2E-MFD/lib/python3.9/site-packages/mmdet/core/bbox/init.py", line 8, in
from .samplers import (BaseSampler, CombinedSampler,
File "/home/lzk/mydata/anaconda3/envs/E2E-MFD/lib/python3.9/site-packages/mmdet/core/bbox/samplers/init.py", line 12, in
from .score_hlr_sampler import ScoreHLRSampler
File "/home/lzk/mydata/anaconda3/envs/E2E-MFD/lib/python3.9/site-packages/mmdet/core/bbox/samplers/score_hlr_sampler.py", line 3, in
from mmcv.ops import nms_match
File "/home/lzk/mydata/anaconda3/envs/E2E-MFD/lib/python3.9/site-packages/mmrotate-0.3.4-py3.9.egg/mmcv/ops/init.py", line 3, in
from .active_rotated_filter import active_rotated_filter
File "/home/lzk/mydata/anaconda3/envs/E2E-MFD/lib/python3.9/site-packages/mmrotate-0.3.4-py3.9.egg/mmcv/ops/active_rotated_filter.py", line 10, in
ext_module = ext_loader.load_ext(
File "/home/lzk/mydata/anaconda3/envs/E2E-MFD/lib/python3.9/site-packages/mmrotate-0.3.4-py3.9.egg/mmcv/utils/ext_loader.py", line 13, in load_ext
ext = importlib.import_module('mmcv.' + name)
File "/home/lzk/mydata/anaconda3/envs/E2E-MFD/lib/python3.9/importlib/init.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
ModuleNotFoundError: No module named 'mmcv._ext'
我的环境配置如下（罗列了部分配置）：
e2cnn 0.2.3 /mnt/home/lzk/E2E-MFD-main/src/e2cnn
mmcv-full 1.7.2
mmdet 2.28.2
mmrotate 0.3.4 /mnt/home/lzk/anaconda3/envs/E2E-MFD/lib/python3.9/site-packages/mmrotate-0.3.4-py3.9.egg
model-index 0.1.11
mpmath 1.3.0
networkx 3.2.1
numpy 1.23.0
nvidia-cublas-cu11 11.10.3.66
nvidia-cublas-cu12 12.1.3.1
nvidia-cuda-cupti-cu11 11.7.101
nvidia-cuda-cupti-cu12 12.1.105
nvidia-cuda-nvrtc-cu11 11.7.99
nvidia-cuda-nvrtc-cu12 12.1.105
nvidia-cuda-runtime-cu11 11.7.99
nvidia-cuda-runtime-cu12 12.1.105
nvidia-cudnn-cu11 8.5.0.96
nvidia-cudnn-cu12 9.1.0.70
nvidia-cufft-cu11 10.9.0.58
nvidia-cufft-cu12 11.0.2.54
nvidia-curand-cu11 10.2.10.91
nvidia-curand-cu12 10.3.2.106
nvidia-cusolver-cu11 11.4.0.1
nvidia-cusolver-cu12 11.4.5.107
nvidia-cusparse-cu11 11.7.4.91
nvidia-cusparse-cu12 12.1.0.106
nvidia-nccl-cu11 2.14.3
nvidia-nccl-cu12 2.20.5
nvidia-nvjitlink-cu12 12.6.77
nvidia-nvtx-cu11 11.7.91
nvidia-nvtx-cu12 12.1.105
opencv-python 4.10.0.84
opendatalab 0.0.10
openmim 0.3.9
openxlab 0.1.1
ordered-set 4.1.0
py 1.11.0
pycocotools 2.0.8
pycodestyle 2.12.1
setuptools 60.2.0
torch 2.0.1
torchaudio 2.0.2
torchvision 0.15.2

[kaka-Cao]

您好！这个错是torch cuda和mmcv-full版本不对应导致的，请在安装MMCV-full1.7.2时选择与你的环境相对应的torch cuda版本。参考https://blog.csdn.net/wjinjie/article/details/115164251

[jimuIee]

您好！这个错是torch cuda和mmcv-full版本不对应导致的，请在安装MMCV-full1.7.2时选择与你的环境相对应的torch cuda版本。参考https://blog.csdn.net/wjinjie/article/details/115164251

感谢您的解答！请问作者如果方便的话可以分享一下你们使用的Dronevehicle数据集吗，或者是上传一个标注文件作为示例（因为dronevehicle的数据标注确实过于混乱QAQ）。

[kaka-Cao]

我们所使用的Dronevehicle数据集的训练和测试标签在这里查看https://drive.google.com/drive/folders/1gmFlz1AyRG8NmK3iCh1QWcLsCbdhSiVu?usp=sharing

[jimuIee]

我们所使用的Dronevehicle数据集的训练和测试标签在这里查看https://drive.google.com/drive/folders/1gmFlz1AyRG8NmK3iCh1QWcLsCbdhSiVu?usp=sharing

您好！方便上传一下lsknet的预训练权重吗

[LKXHZD]

I meet a problem,please help me,thanks.
Traceback (most recent call last):
File "/root/E2E-MFD/./tools/train.py", line 193, in
main()
File "/root/E2E-MFD/./tools/train.py", line 182, in main
train_detector(
File "/root/E2E-MFD/mmrotate/apis/train.py", line 144, in train_detector
runner.run(data_loaders, cfg.workflow)
File "/opt/conda/envs/E2E-MFD/lib/python3.9/site-packages/mmcv/runner/epoch_based_runner.py", line 136, in run
epoch_runner(data_loaders[i], **kwargs)
File "/opt/conda/envs/E2E-MFD/lib/python3.9/site-packages/mmcv/runner/epoch_based_runner.py", line 49, in train
for i, data_batch in enumerate(self.data_loader):
File "/opt/conda/envs/E2E-MFD/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 442, in iter
return self._get_iterator()
File "/opt/conda/envs/E2E-MFD/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 388, in _get_iterator
return _MultiProcessingDataLoaderIter(self)
File "/opt/conda/envs/E2E-MFD/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 1085, in init
self._reset(loader, first_iter=True)
File "/opt/conda/envs/E2E-MFD/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 1118, in _reset
self._try_put_index()
File "/opt/conda/envs/E2E-MFD/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 1352, in _try_put_index
index = self._next_index()
File "/opt/conda/envs/E2E-MFD/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 624, in _next_index
return next(self._sampler_iter) # may raise StopIteration
File "/opt/conda/envs/E2E-MFD/lib/python3.9/site-packages/torch/utils/data/sampler.py", line 254, in iter
for idx in self.sampler:
File "/opt/conda/envs/E2E-MFD/lib/python3.9/site-packages/mmdet/datasets/samplers/group_sampler.py", line 36, in iter
indices = np.concatenate(indices)
ValueError: need at least one array to concatenate

[LKXHZD]

I would like to ask what are the appropriate settings for training on a small graphics card, such as samples_per_gpu, worker_per_gpu, and max_epochs? Because if I reduce these parameters, there will be an error of 'needed at least one array to concatenate', and if I increase these parameters, there will be another error of 'DataLoader worker is killed by signal: Terminated'. Can you tell me how to solve it? Please forgive my ignorance, as I am a novice. Thank you very much.