如果mmcv库已安装,但问题仍未解决,可能是因为mmcv的版本中不包含mmcv.cnn.utils.weight_init模块。你可以通过以下命令查看当前安装的mmcv版本: bash pip show mmcv 然后,访问MMCV的GitHub仓库或官方文档,确认weight_init模块在当前版本中的位置。 查找模块位置变动: 根据GitHub上的讨论(如[@2@]中提到的),weight_in...
from mmcv.cnn.utils.weight_init import trunc_normal_ Reproduces the problem - command or script just commonly run python script. Reproduces the problem - error message I can successfully install mmcv 2.1.0, however, it gets error when I import these 'from mmcv.cnn.utils.weight_init import ...
cnn.weight_init import normal_init, xavier_init ModuleNotFoundError: No module named 'mmcv.cnn.weight_init' This is what I have from the command python mmdetection/mmdet/utils/collect_env.py: sys.platform: linux Python: 3.6.9 |Anaconda, Inc.| (default, Jul 30 2019, 19:07:31) [GCC ...
flow = mmcv.flowread('test.flo') mmcv.flowshow(flow) 五、Utils (1)Config配置这个类很经常拿来使用配置网络 Config类用于操作配置和配置文件。它支持从多种文件格式加载config,包括python、json和yaml。它提供了类似dict的api来获取和设置值。 下面是配置文件test.py的示例。 a = 1b= dict(b1=[0, 1, ...
mask_rcnn检测结果 回到image_demo.py的源文件,其import了asyncio(这个先不管),argparse.ArgumentParser,以及mmdet.api的部分函数 argparse是一个命令行解析器,使用时需要先创建一个ArgumentParser对象,然后通过调用add_argument()方法添加程序参数信息。这些信息在parser_args()调用时被存储和使用。image_demo.py中,解析...
from mmcv.utils import Registry # create a registry for converters CONVERTERS = Registry('converter') 这里的Registry(...)和前面的Config一样,是mmcv中已经实现好的功能,这里我们暂且先只聊用法,如果想知道是怎么实现的,可以去看源码。简单来说,Registry本身是一个定义好的class,这里是传入了converter参数实例...
Implementation details are available at mmcv/cnn/utils/weight_init.py During training, a proper initialization strategy is beneficial to speed up the training or obtain a higher performance. In MMCV, we provide some commonly used methods for initializing modules like nn.Conv2d. Of course, we al...
copying mmcv\parallel\utils.py -> build\lib.win-amd64-3.7\mmcv\parallel copying mmcv\parallel_functions.py -> build\lib.win-amd64-3.7\mmcv\parallel copying mmcv\parallel_init_.py -> build\lib.win-amd64-3.7\mmcv\parallel creating build\lib.win-amd64-3.7\mmcv\runner ...
copying mmcv/onnx/onnx_utils/init.py -> build/lib.linux-x86_64-3.8/mmcv/onnx/onnx_utils creating build/lib.linux-x86_64-3.8/mmcv/cnn/bricks copying mmcv/cnn/bricks/conv_ws.py -> build/lib.linux-x86_64-3.8/mmcv/cnn/bricks
in build_object_detection_model **kwargs) File "/opt/conda/envs/llens/lib/python3.7/site-packages/mmcv/utils/registry.py", line 215, in build return self.build_func(*args, **kwargs, registry=self) File "/workspace/mmdeploy/mmdeploy/codebase/mmdet/deploy/object_detection_model.py", lin...