RobustVideoMatting
keras-onnx
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| RobustVideoMatting | keras-onnx | |
|---|---|---|
| 16 | 2 | |
| 8,157 | 329 | |
| - | - | |
| 0.0 | 4.4 | |
| 21 days ago | over 2 years ago | |
| Python | Python | |
| GNU General Public License v3.0 only | Apache License 2.0 |
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RobustVideoMatting
- lineart_coarse + openpose, batch img2img
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Tools For AI Animation and Filmmaking , Community Rules, ect. (**FAQ**)
Robust Video Matting/Background Remover (Remove Background from images and videos, useful for compositing) https://github.com/PeterL1n/RobustVideoMatting (RVM - Remove backgrounds from videos) https://github.com/nadermx/backgroundremover (BackgroundRemover - works well on single images) -------VOICE GENERATION--------
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Adobe After Effects VS Runway AI 👀
Looks like runway is packaging a bunch of AI tools like stable diffusion and other opensource tools into a paid package. The matting tools it is using looks like this tool https://github.com/PeterL1n/RobustVideoMatting which can be run off your computer for free if you can figure out the geeky side of installing this stuff. I've tried it out and it sometimes works well but most of the time the results aren't as good as the examples on their github. Still a good tool to have in the toolbox though.
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Rotoscoping a video by comparing images
OR this separate application looks promising, if you can work out Google Collab (I couldn't unfortunately): https://github.com/PeterL1n/BackgroundMattingV2 https://github.com/PeterL1n/RobustVideoMatting
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CatFileCreator in Nuke
I have done a bit of coding and I will use pretrained models only. Looking at things like depth and segmentation. Like this as an example. I am using it on a collab now but its so cumbersome. https://github.com/PeterL1n/RobustVideoMatting
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[Q] Video Editing using AI
I do not know much about Machine learning, and I am not sure if I can ask question here. But if yes, I need help with either choosing best libraries to do Video Editing like Background Removal and similar. Some of the ones that I found is RVM: https://github.com/PeterL1n/RobustVideoMatting (which currently seems like the best choice)
- Is this FOSS ML software safe?
- [D] Is this ML project safe?
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Trying to train videomatting model
First of all I would ask if somebody retrained Robust Video Matting model on own data? I am trying to, but with all the models I end up getting bad quality result as the ones attached to the post. So my data is some objects rotating on 360 and with white backgrounds, The task seems to be pretty simple as the model just has to remove white bgr and keep colorized object. I have masks on every 10th frame of my videos. The masks are 0 - bgr, 255 - fgr. I have tried Robust Video Matting model, MODNet, PaddleSeg and several segmentation models and every of them failed to show consistent results on that data. What should I do in the case?
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Remove Background NO GREENSCREEN?
I have found a github with a project like this but it is tedious to use: https://github.com/PeterL1n/RobustVideoMatting
keras-onnx
- Deep learning classification with C++
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[P] [D]How to get TensorFlow model to run on Jetson Nano?
Conversion was done from Keras Tensorflow using to ONNX https://github.com/onnx/keras-onnx followed by ONNX to TensorRT using https://github.com/onnx/onnx-tensorrt The Python code used for inference using TensorRT can be found at https://github.com/jonnor/modeld/blob/tensorrt/tensorrtutils.py
What are some alternatives?
MODNet - A Trimap-Free Portrait Matting Solution in Real Time [AAAI 2022]
onnx-tensorrt - ONNX-TensorRT: TensorRT backend for ONNX
BackgroundMattingV2 - Real-Time High-Resolution Background Matting
MMdnn - MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
PINTO_model_zoo - A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
pytorch2keras - PyTorch to Keras model convertor
pytorch-deep-image-matting - Pytorch implementation of deep image matting
keras2cpp - This is a bunch of code to port Keras neural network model into pure C++.
coremltools - Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
cppflow - Run TensorFlow models in C++ without installation and without Bazel
caer - High-performance Vision library in Python. Scale your research, not boilerplate.
modeld - Self driving car lane and path detection