MODNet-BGRemover VS ByteTrack-ONNX-Sample

Compare MODNet-BGRemover vs ByteTrack-ONNX-Sample and see what are their differences.

MODNet-BGRemover

A deep learning approach to remove background & adding new background image (by Mazhar004)

ByteTrack-ONNX-Sample

ByteTrack(Multi-Object Tracking by Associating Every Detection Box)のPythonでのONNX推論サンプル (by Kazuhito00)
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MODNet-BGRemover ByteTrack-ONNX-Sample
1 1
113 16
- -
3.6 10.0
almost 2 years ago over 1 year ago
Python Python
- MIT License
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.

MODNet-BGRemover

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

ByteTrack-ONNX-Sample

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

What are some alternatives?

When comparing MODNet-BGRemover and ByteTrack-ONNX-Sample you can also consider the following projects:

pyWCam - python script to host webpage of a webcam.

multi-object-tracker - Multi-object trackers in Python

pycamloop - Make OpenCV camera loops less of a chore by skipping the boilerplate and getting right to the interesting stuff

smart-sec-cam - A privacy-focused, intelligent security camera system.

qbr - A webcam-based 3x3x3 rubik's cube solver written in Python 3 and OpenCV.

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

robin - RObust document image BINarization

classy-sort-yolov5 - Ready-to-use realtime multi-object tracker that works for any object category. YOLOv5 + SORT implementation.