GitHub - ying09/TextFuseNet: A PyTorch implementation of "TextFuseNet: Scene Text Detection with Richer Fused Features". ying09 / TextFuseNet master 1 branch 0 tags Code Real-YeJ Update README.md e4d4262 on Jul 1, 2024 93 commits Failed to load latest commit information. .idea annotation_example … See more This software implements TextFuseNet: Scene Text Detection with Richer Fused Features in PyTorch. For more details, please refer to our paper … See more This implementation is based on Detectron2, the installation can refer to step-by-step installation.txt. For more details about the environment of conda, please … See more A demo program can be found in demo. Before running the demo, download our pretrained models from Baidu Netdisk (Extraction code:8op1) or Google Driver. Set … See more Our detection code will save text contours to a txt file for each image. For calculating F-measure, Recall, and Precision, please refer to the following links: … See more WebIn practice, our proposed TextFuseNet can learn a more adequate description of arbitrary shapes texts, suppressing false positives and producing more accurate detection results. Our proposed framework can also be trained with weak supervision for those datasets that lack character-level annotations.
GitHub - robtu328/TextfuseNet
Web12 Dec 2024 · TextFuseNet在训练到一定迭代次数时报错,且多次尝试会报不同的算子的错误,有时候程序又会直接卡住,没有任何输出 info级别的日志时报错信息: 这3次训练过程报错的算子都不一样。 二、软件版本: -- CANN 版本 (e.g., CANN 3.0.x,5.x.x): CANN 5.0.3 --Tensorflow/Pytorch/MindSpore 版本: 1.5.0+ascend.post3 --Python 版本 (e.g., Python … Web14 Dec 2024 · TextFuseNet:具有更丰富融合功能的场景文本检测 摘要 自然场景中任意形状文本的检测是一个极具挑战性的问题任务。 不像现有的文本检测方法都是基于有限的特征表示,本文提出了一种新的文本检测框架TextFuseNet,以探索利用更丰富的特征融合进行文本检测。 更具体地说,我们提出从字符、单词和全局三个层次的特征表示来感知文本,然 … short playhouse doors
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WebIn practice, our proposed TextFuseNet can learn a more adequate description of arbitrary shapes texts, suppressing false positives and producing more accurate detection results. … Web1 Apr 2024 · The GitHub repository contains one model for each one of those steps. The models for step 1) and 2) are the same for all languages, whereas the model for step 3) … WebGitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 330 million projects. short plats