MOBA-Minimap-Awareness-Trainer
RobustVideoMatting
MOBA-Minimap-Awareness-Trainer | RobustVideoMatting | |
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2 | 16 | |
22 | 8,283 | |
- | - | |
0.0 | 0.0 | |
about 2 years ago | 2 months ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 only |
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MOBA-Minimap-Awareness-Trainer
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We built a minimap awareness & mirror check training tool to automatically alert you if you haven't checked the minimap or looked at your mirrors in a while. It uses eye tracking and emits a visual or audio alarm so you're reminded to avoid tunnel vision (like a good Pavlovian dog ;)
The Minimap Awareness Trainer can be downloaded on Github.
- We made this free tool that improves your minimap awareness for League of Legends using eye-tracking technology. By tracking your visual attention, a visual or audio alarm alerts you within a specified time if you have not looked at the minimap!
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
What are some alternatives?
Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]
MODNet - A Trimap-Free Portrait Matting Solution in Real Time [AAAI 2022]
flying-guide-dog - Official implementation of "Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic Segmentation", IEEE ROBIO 2021
BackgroundMattingV2 - Real-Time High-Resolution Background Matting
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.
pytorch-deep-image-matting - Pytorch implementation of deep image matting
coremltools - Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
keras-onnx - Convert tf.keras/Keras models to ONNX
caer - High-performance Vision library in Python. Scale your research, not boilerplate.
tflite2tensorflow - Generate saved_model, tfjs, tf-trt, EdgeTPU, CoreML, quantized tflite, ONNX, OpenVINO, Myriad Inference Engine blob and .pb from .tflite. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support. Supports inverse quantization of INT8 quantization model.
Autonomous-Ai-drone-scripts - State of the art autonomous navigation scripts using Ai, Computer Vision, Lidar and GPS to control an arducopter based quad copter.
DI-star - An artificial intelligence platform for the StarCraft II with large-scale distributed training and grand-master agents.