pytorch2keras
cnn-watermark-removal
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pytorch2keras | cnn-watermark-removal | |
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2 | 1 | |
846 | 1,216 | |
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0.0 | 0.0 | |
over 1 year ago | about 3 years ago | |
Python | Python | |
MIT License | - |
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pytorch2keras
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Help Needed: Converting PlantNet-300k Pretrained Model Weights from Tar to h5 Format Help
It's almost certainly a pickled pytorch model so you will first need to load it using pytorch and then write it out to h5 (legacy keras format) with https://github.com/gmalivenko/pytorch2keras.
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Is Pytorch good deployment wise?
But of course, you can always train a model with one framework and run inference with another. For instance, pytorch2keras does exactly this.
cnn-watermark-removal
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A minute of silence for this person please
There actually should be a way to remove static watermarks, at least there are AI libraries to to do so with still images, like https://github.com/marcbelmont/cnn-watermark-removal. The result will be mediocre, and it's gonna take enormous amount of time to clean up though.
What are some alternatives?
NudeNet - Neural Nets for Nudity Detection and Censoring
ImageAI - A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
InvoiceNet - Deep neural network to extract intelligent information from invoice documents.
python_cli_video_editor - A CLI video editor written in the Python Language.
facenet-pytorch - Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
mmagic - OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.
efficientnet-lite-keras - Keras reimplementation of EfficientNet Lite.
telewater - A telegram bot that applies watermark on images, gifs, and videos.
onnx-tensorflow - Tensorflow Backend for ONNX
blind_watermark - Blind&Invisible Watermark ,图片盲水印,提取水印无须原图!
TensorFlow-object-detection-tutorial - The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch
segmentation_models - Segmentation models with pretrained backbones. Keras and TensorFlow Keras.