You can using StoryDiffusion in ComfyUI

OpenMMLab Detection Toolbox and Benchmark

OpenMMLab Model Deployment Framework

EnsNet: Ensconce Text in the Wild

LFD is a big update upon LFFD. Generally, LFD is a multi-class object detector characterized by lightweight, low inference latency and superior precision. It is for real-world appilcations.

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

“2020创青春·交子杯” 新网银行金融科技挑战赛AI算法赛道baseline

This is an integration framework for classification models

This is an integration framework about segmentation model, and the framework mainly adopts RESUNT

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"

a baseline for defect segmentation

测试gpu环境

generate randomly defects on positive samples and restore them with GAN.

efficientnet-b5-b6417697.pth

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding

Readme内有部分小技巧，不喜勿喷哈

using different NLP model to handle OCR

[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding

generate randomly defects on positive samples and restore them with GAN.

a baseline for defect segmentation

Notebook for my medium article about how to use Dataset API in TensorFlow

A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"