pipeless VS tennis-tracking

Compare pipeless vs tennis-tracking and see what are their differences.

pipeless

An open-source computer vision framework to build and deploy apps in minutes without worrying about multimedia pipelines [Moved to: https://github.com/pipeless-ai/pipeless] (by miguelaeh)
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pipeless tennis-tracking
7 8
104 362
- 6.1%
10.0 0.0
7 months ago 3 months ago
Python Python
Apache License 2.0 The Unlicense
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.

pipeless

Posts with mentions or reviews of pipeless. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-24.

tennis-tracking

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

What are some alternatives?

When comparing pipeless and tennis-tracking you can also consider the following projects:

Savant - Python Computer Vision & Video Analytics Framework With Batteries Included

pipeless - An open-source computer vision framework to build and deploy apps in minutes

AI-basketball-analysis - :basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.

pipelessassets

ScaledYOLOv4 - Scaled-YOLOv4: Scaling Cross Stage Partial Network

FLAVR - Code for FLAVR: A fast and efficient frame interpolation technique.

yolov3 - YOLOv3 in PyTorch > ONNX > CoreML > TFLite

CV-CUDA - CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.

ONNX-YOLOv7-Object-Detection - Python scripts performing object detection using the YOLOv7 model in ONNX.

nvidia-auto-installer-for-fedora - A CLI tool which lets you install proprietary NVIDIA drivers and much more easily on Fedora Linux (32 or above and Rawhide) [Moved to: https://github.com/t0xic0der/nvidia-auto-installer-for-fedora-linux]