出现ModuleNotFoundError: No module named 'mmcv.cnn.weight_init' 错误通常是因为模块路径不正确或模块未安装。 解决步骤 确认模块安装: 确保你已经正确安装了 mmcv 或mmcv-full。你可以通过以下命令来检查 mmcv 是否已安装: bash pip show mmcv 或者,如果你安装的是 mmcv-full: bash pip show mmcv-full ...
在调试SOLOv2的过程中遇到了如题目所示的问题(前提:已经安装对应版本的mmcv-full),解决方式如下: 将 from mmcv.cnn.weight_init import caffe2_xavier_init 更改为 from mmcv.cnn import caffe2_xavier_init
最近在重新安装mmdetection v1.2.0版本时按照步骤安装却出现了如题所示的错误,可以通过如下方法解决: pip install mmcv==0.4.3发布于 2020-07-03 20:01 目标检测 赞同54 条评论 分享喜欢收藏申请转载 写下你的评论... 4 条评论 默认 最新 毁天灭地小呆呆 感谢,应该是版本...
DoubleConvFCBBoxHead File "/home/sarim/PycharmProjects/trajectory_prediction/DetectoRS/mmdet/models/bbox_heads/double_bbox_head.py", line 2, in <module> from mmcv.cnn.weight_init import normal_init, xavier_init ModuleNotFoundError: No module named 'mmcv.cnn.weight_init' Process finished with ...
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 ...
之前自己实现了一遍mmcv这个库,现在把API文档翻译一遍。 英文官方文档地址:https://mmcv.readthedocs.io/en/latest/api.html 项目github地址:https://github.com/open-mmlab/mmcv 发现这个库的安装的时候常常很麻烦,因为太经常更新了,但其实核心部分也就下面这些功能嗷。
def weights_init(m): if isinstance(m, nn.Conv2d) or isinstance(m, nn.Linear): nn.init.xavier_uniform_(m.weight.data) nn.init.constant_(m.bias, 0.1) 1. 2. 3. 4. 定义PNet 由说明可知,PNet需要三个卷积网络,并且输出都要进行非线性处理。
importtorchfromtorchimportnnfrommmcv.cnnimportconstant_init# hook 函数,其三个参数不能修改(参数名随意),本质上是 PyTorch 内部回调函数# module 本身对象# input 该 module forward 前输入# output 该 module forward 后输出defforward_hook_fn(module,input,output):print('weight',module.weight.data)print('...
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...
(type='SGD', lr=0.001, momentum=0.9, weight_decay=0.0001))#可以改变超参数等,这里我变的是lr val_evaluator = dict(ann_file=data_root + 'new_anno/new_valid.json')#修改评价指标 test_evaluator = val_evaluator load_from = 'faster_rcnn_r101_fpn_1x_coco_20200130-f513f705.pth'#这个是在...