BackgroundMattingV2
FastMOT
| BackgroundMattingV2 | FastMOT | |
|---|---|---|
| 3 | 2 | |
| 6,665 | 1,095 | |
| - | - | |
| 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
FastMOT
- Does Multi Object Tracking work better (precision/recall) on videos than jury rigging a SOTA image object detection to work on videos?
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Assign ID and track moving object with optical flow
On failure, you can try using a re-identification methods like FastReid: https://github.com/JDAI-CV/fast-reid in combination with your detector. A good pipeline that combines everything you seem to need is here: https://github.com/GeekAlexis/FastMOT. It uses a combination of Yolov4 (detector) + Kalman filters, Optical flow (tracker) and FastReid (re-identification)
What are some alternatives?
RobustVideoMatting - Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
multi-object-tracker - Multi-object trackers in Python
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
FairMOT - [IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
ByteTrack - [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
szabadfogasu-maszk - A face mask detection system using Tensorflow/Keras and OpenCV, for the "<19 Szabadfogású SzámÃtógép" competition in 2020.
fast-reid - SOTA Re-identification Methods and Toolbox
TFJS-object-detection - Real-time custom object detection in the browser using tensorflow.js
zero-shot-object-tracking - Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.
mmtracking - OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.