"[MASK]"] def __init__( self, vocab_size, ): self.vocab_size = vocab_size self.tok = Tokenizer(models.BPE(unk_token="[UNK]")) self.tok.normalizer = normalizers.Sequence([normalizers.NFC()]) self.tok.pre_tokenizer = pre_tokenizers.ByteLevel() @classmethod def chunk_dataset(cls, ...
Cheng, Gong , P. Zhou , and J. Han . "RIFD-CNN: Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection."2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)IEEE Computer Society, 2016. 抛开这篇论文,我说两个比较容易实现的方法: (1)数据...
2、敲定主体框架(Mask R-CNN in Detectron by Caffe2) 第一直觉这是个实例分割任务,首选Mask R-CNN。 当时期间Mask R-CNN有两大开源版本,一个是Matter Port的Keras版代码,另一个是Facebook官方的Caffe2版代码(即Detectron)。 据说Detectron的性...
Detectron训练Mask R-CNN比较麻烦,环境我用的是官方docker容器,数据集信息需要添加进入 dataset_catalog.py,然后通过train_net.py训练模型,训练还是比较快的,印象中一天不到就有结果了。 训练方法的话,可以参见这里: Pascal:用Mask R-CNN训练自己的COCO数据集(Detectron)zhuanlan.zhihu.com 6、重叠处理 训练完模型,i...
Detectron训练Mask R-CNN比较麻烦,环境我用的是官方docker容器,数据集信息需要添加进入 dataset_catalog.py,然后通过train_net.py训练模型,训练还是比较快的,印象中一天不到就有结果了。 训练方法的话,可以参见这里: Pascal:用Mask R-CNN训练自己的COCO数据集(Detectron)zhuanlan.zhihu.com ...
Explore and run machine learning code with Kaggle Notebooks | Using data from Face Mask Images 100 images
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