这就意味着,如果我们自己重新注册自己的model,dataset...等是无法直接使用的! KeyError: 'EncoderDecoder is not in the mmengine::modelregistry. Please check whether the value of `EncoderDecoder` is correct or it was registered as expected. More details can be found atConfig - mmengine 0.10.1 doc...
2. 有时候我们会重写Segmentor,其中可能会这么写: 这里主要的原因就是说,如果optimizer放在model中运算即不用hook操作,那么必须要这样换。 @TTA.register_module() class Decrator(BaseSegmentor): def __init__(self, **cfg): super(BaseSegmentor, self).__init__() self.model = build_segmentor(deepcopy...
最后,我们可以使用builder.build_model()函数根据配置文件构建出相应的模型实例,并且通过load_checkpoint()函数加载预训练权重。 2.3.4优势和应用场景: MMseg的注册机制给用户带来了一些优势和应用场景,包括但不限于: 1.灵活性和可扩展性:注册机制使得用户可以方便地引入新的分割模型,并且可以根据需求进行组合和调用,...
首先进入Runer类中的test函数: 然后进入Runer类中的build_test_loop函数: 然后经过Registry中的build_from_cfg等函数,进入TestLoop类的__init__进行初始化。初始化的时候,会进入父类BaseLoop,在BaseLoop中,会对Dataloader进行build,关于mmcv2.0是如何构建Dataloader的,可以参考:mmcv2.0中build dataloader的流程 - Picass...
model = build_detector(cfg.model) #加载预训练模型 checkpoint = load_checkpoint(model, 'checkpoint.pth') #构建数据管道 train_dataset = build_dataset(cfg.data.train) train_dataloader = build_dataloader( train_dataset, samples_per_gpu=cfg.data.samples_per_gpu, workers_per_gpu=cfg.data.workers_...
build_model_from_cfg is also implemented to build PyTorch module in nn.Sequentail, you may directly use them instead of implementing by yourself. Hierarchy Registry You could also build modules from more than one OpenMMLab frameworks, e.g. you could use all backbones in MMClassification for ...
version: Windows 10 VS2015 cuda 10.1 python 3.7 pytorch 1.6.0 torchvision 0.7.0 mmcv 1.4.0 mmdetection 2.18.0 mmocr 0.3.0 (There are no errors in install mmcv, build mmdet, build mmocr) when i tried to train the maskrcnn for textdet from...
ModelScope在安装mmcv报错 Failed to build mmcv-full ERROR: Could not build wheels for mmcv-full, which is required to install pyproject.toml-based projects pip 安装提示是成功的 该如何解决? 参考回答: 从安装提示来看 Failed to build mmcv-full ...
build_activation_layer build_upsample_layer build_padding_layer module # conv + bn + reluConvModule(3, 8, 2, norm_cfg=dict(type='BN')) # convConvModule(3, 8, 2, act_cfg=None) # bn + conv + reluConvModule(3, 8, 2, norm_cfg=dict(type='BN'), order=('norm', 'con...
使用的docker容器环境是昇腾提供的pytorch-modelzoo镜像 https://ascendhub.huawei.com/#/detail/pytorch-modelzoo pip list的环境大致如下 运行的验证mmcv的代码,参考https://mmcv.readthedocs.io/zh_CN/latest/get_started/build.html?highlight=npu#npu-mmcv-full ...