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acstnet

ACSTNet: An improved YOLO X method for small object detection with pixel-level attention and parallel Swin Transformer

bloom

camera_calibration

用于求相机内参与外参的python代码

dailyup

deam

Code resources for pre-published papers.

deep_sort_paddle

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.

ocr

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.

root

Test

segmentation-of-remote-sensing-image

详细说明及其更改

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。