121 Open source projects that are alternatives of or similar to Cnn Watermark Removal

Tiktok Downloader/Scraper using requests & bs4

我的笔记和Demo，包含分类，检测、分割、知识蒸馏。

Fast, simple, scalable, Docker-ready HTTP microservice for high-level image processing

Usefull scripts

A PyTorch Implementation of "Densely Connected Convolutional Networks"

📫 RubberStamp is an Android library that makes it easy for you to add a watermark to your images.

PyTorch to Keras model convertor

PyTorch implementation of CNNs for CIFAR benchmark

A Telegram Video Watermark Adder Bot in Pyrogram by @AbirHasan2005

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

Repo about neural networks for images handling

Replace FC2, LeNet-5, VGG, Resnet, Densenet's full-connected layers with MPO

♾A curated list of papers and code about very deep neural networks

Implementation of DenseNet model on Standford's MURA dataset using PyTorch

Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)

Computer vision library for wildfire detection

remove watermark. 去除图片中的水印

No description or website provided.

秒级! 三行代码实现iOS视频压缩、变速、混音、合并、GIF水印、旋转、换音、裁剪 ! 支持不同分辩率，支持你能想到的各种混合操作! 扩展性强...更多功能不断增加中... iOS 8.0 + 有需要的功能或错误欢迎issue，笔者会及时更新

Pytorch implementation for SRDenseNet (ICCV2017)

Watermark added to the frequency domain by Fourier transform

简单的图片水印功能，支持 GIF

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

采用深度学习方法进行刀具识别。

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

文档在线预览编辑，文档水印 / Office files preview or edit online, doc/docx convert to html, watermark

Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.

Blind Watermark （图片盲水印，提取水印无须原图！）

Add watermark to react components in a more elegant way

A PyTorch implementation of DenseNet.

ilovepdf.com python API library

第一届西安交通大学人工智能实践大赛（2018AI实践大赛--图片文字识别）第一名；仅采用densenet识别图中文字

3D DenseNet(torch version) for ModelNet40 dataset

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

A little tool use to add watermark to image.

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

AWS Lambda Watermark service for S3 images

PyTorch to Keras model convertor

Densely Connected Convolutional Network implementation by Chainer

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

Train DenseNet on Cifar-10 based on Keras

Project for Digital Image Processing

Using DenseNet for human pose estimation based on TensorFlow.

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

Fast, Docker-ready image processing server in Go and libvips

DenseNet Implementation in Tensorflow

⭐ StarUML watermark remover

用于合成图片的canvas绘制库

[ACM MM 2021] Visible Watermark Removal via Self-calibrated Localization and Background Refinement

watermark.js是基于DOM对象实现的BS系统的水印，确保系统保密性，安全性，降低数据泄密风险，简单轻量，支持多属性配置，动态计算水印，水印防被删（监听水印组件元素删除并重新添加，监听改变水印的属性并重新添加）。1、支持2种方式导入使用，2、水印插件-testTool（测试工具），3、内置3种全局API方法，等等。欢迎访问：

client side WebRTC lib to add an image / watermark on the MediaSource

Invisible Hyperlinks in Physical Photographs

A collection of deep learning models (PyTorch implemtation)

🔒 🖼 Securely, easily add a watermark to your sensitive photos. 安全、简单地为你的敏感照片添加水印，防止被小人泄露、利用

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Play deep learning with CIFAR datasets

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

DenseNet implementation in Keras

Simple Tensorflow implementation of Densenet using Cifar10, MNIST

A list of popular deep learning models related to classification, segmentation and detection problems