BackgroundMattingV2
szabadfogasu-maszk
| BackgroundMattingV2 | szabadfogasu-maszk | |
|---|---|---|
| 3 | 1 | |
| 6,665 | 18 | |
| - | - | |
| 2.8 | 0.0 | |
| 4 months ago | over 2 years ago | |
| Python | Python | |
| MIT License | MIT License |
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BackgroundMattingV2
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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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[D] Is this ML project safe?
I want to use Background Matting V2 professionally; it is very impressive. My concern however is privacy. The successor to this project, Robust Video Matting, says (on its github page) that it was developed at ByteDance Inc. I know this company owns TikTok and are known for storing user data on Chinese servers. My question is, is background matting v2 safe to use? https://github.com/PeterL1n/BackgroundMattingV2
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[D] AI Background Removal: a quick comparison between RVM & BGMv2
GitHub
szabadfogasu-maszk
What are some alternatives?
RobustVideoMatting - Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
python-halftone - A python module that uses PIL/Pillow to give images a halftone effect
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
InvoiceNet - Deep neural network to extract intelligent information from invoice documents.
FairMOT - [IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
Tiny_Faces_in_Tensorflow - A Tensorflow Tiny Face Detector, implementing "Finding Tiny Faces"
sod - An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)
Competitive-Programming
coronavirus-tracker-api - 🦠 A simple and fast (< 200ms) API for tracking the global coronavirus (COVID-19, SARS-CoV-2) outbreak. It's written in python using the 🔥 FastAPI framework. Supports multiple sources!
People-Counting-in-Real-Time - People Counting in Real-Time with an IP camera.