Wei-JL's repositories
camera_calibration
用于求相机内参与外参的python代码
keras-unet-collection
The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.
PaddleOCR
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
PaddleViT
:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
PPOCRLabel
PPOCRLabel is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PPOCR model to automatically detect and re-recognize data. It is written in python3 and pyqt5, supporting rectangular box annotation and four-point annotation modes. Annotations can be directly used for the training of PPOCR detection and recognition models.
Segmentation-of-remote-sensing-images
数据集包含2个子文件,分别为:训练数据集(原始图片)文件、训练数据集(标注图片)文件,详细介绍如下: 训练数据集(原始图片)文件名称:img_train 包含66,653张分辨率为2m/pixel,尺寸为256 * 256的JPG图片,每张图片的名称形如T000123.jpg。 训练数据集(标注图片)文件名称:lab_train 包含66,653张分辨率为2m/pixel,尺寸为256 * 256的PNG图片,每张图片的名称形如T000123.png。 备注: 全部PNG图片共包括4种分类,像素值分别为0、1、2、3。此外,像素值255为未标注区域,表示对应区域的所属类别并不确定,在评测中也不会考虑这部分区域。 测试数据集 测试数据集文件名称:img_test.zip,详细介绍如下: 包含4,609张分辨率为2m/pixel,尺寸为256 * 256的JPG图片,文件名称形如123.jpg。