unimatch VS optical.flow.demo

Compare unimatch vs optical.flow.demo and see what are their differences.

optical.flow.demo

A project that uses optical flow and machine learning to detect aimhacking in video clips. (by waldo-vision)
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unimatch optical.flow.demo
1 7
896 549
4.8% -
4.3 4.3
about 1 month ago over 2 years ago
Python Python
MIT License Mozilla Public License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

unimatch

Posts with mentions or reviews of unimatch. We have used some of these posts to build our list of alternatives and similar projects.

optical.flow.demo

Posts with mentions or reviews of optical.flow.demo. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-30.

What are some alternatives?

When comparing unimatch and optical.flow.demo you can also consider the following projects:

CREStereo - Official MegEngine implementation of CREStereo(CVPR 2022 Oral).

frame-interpolation - FILM: Frame Interpolation for Large Motion, In ECCV 2022.

mmflow - OpenMMLab optical flow toolbox and benchmark

VQGAN-CLIP-Video - Traditional deepdream with VQGAN+CLIP and optical flow. Ready to use in Google Colab.

yolov7-pose-estimation - YOLOv7 Pose estimation using OpenCV, PyTorch

UNINEXT - [CVPR'23] Universal Instance Perception as Object Discovery and Retrieval

opencv-steel-darts - Automatic scoring system for steel darts using OpenCV, a Raspberry Pi 3 Model B and two webcams.

uform - Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️

caer - High-performance Vision library in Python. Scale your research, not boilerplate.

E2FGVI - Official code for "Towards An End-to-End Framework for Flow-Guided Video Inpainting" (CVPR2022)