Web基于分割的自然场景文本检测方法主要是借鉴传统的文本检测方法的思想,先通过卷积神经网络检测出基本的文本组件,然后通过一些后处理的方式将文本组件聚集成一个完整的文本实例。此类方法可以进一步划分为像素级别的方法(基于分割的方法)和文本片段级别的方法。 WebOct 17, 2024 · CTPN algorithm refers to the connectionist text proposal network. This name is given to the algorithm because it detects text lines in a sequence of fine text …
State-of-the-Art in Action: Unconstrained Text Detection
WebMay 14, 2024 · not only effective but also efficient with two state-of-the-art methods, CTPN [52] and EAST [64], as backbones. On the challenging benchmark ICDAR 2013, it speeds up CTPN by 2:9 times on average, while improving the F-measure by 1:5%. On ICDAR 2015, it speeds up EAST by 2:0 times while improving the F-measure by 1:0%. 1 … WebOct 19, 2024 · The EAST algorithm uses a single neural network to predict a word or line-level text. It can detect text in arbitrary orientation with quadrilateral shapes. In 2024 this algorithm outperformed state of the art methods. This algorithm consists of a fully convolutional network with a non-max suppression (NMS) merging state. eastwood road penryn
keras优化算法_自然场景文本识别(OCR),keras-yolo3-densenet …
WebAug 18, 2024 · This is a PyTorch Re-Implementation of EAST: An Efficient and Accurate Scene Text Detector. Only RBOX part is implemented. Using dice loss instead of class-balanced cross-entropy loss. Some codes refer … WebCTPN is essentially a fully convolutional network that allows an input image of arbitrary size. It detects a text line by densely sliding a small window in the convolutional feature maps, and outputs a sequence of fine-scale … Web成熟的文本检测算法有很多,我尝试了ctpn,east以及yolo3(包括yolo3-tiny)等三种文本检测算法。 (目前只考虑水平文本,有很多其他算法可以检测非水平文本,包括east) 2、 文本识别 : 文本识别尝试了crnn和densenet,总体来看性能差不多。 由于对qps有要求,因此尝试使用tensorrt对模型进行推理优化,keras转trt模型较好的路径还是 keras→onnx→trt … eastwood rust preventer