make-sense VS narya

Compare make-sense vs narya and see what are their differences.

narya

The Narya API allows you track soccer player from camera inputs, and evaluate them with an Expected Discounted Goal (EDG) Agent. This repository contains the implementation of the flowing paper https://arxiv.org/abs/2101.05388. We also make available all of our pretrained agents, and the datasets we used as well. (by DonsetPG)
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make-sense narya
7 1
2,969 153
- -
2.4 0.0
about 2 months ago about 1 year ago
TypeScript Jupyter Notebook
GNU General Public License v3.0 only MIT License
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make-sense

Posts with mentions or reviews of make-sense. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-07.

narya

Posts with mentions or reviews of narya. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-10.
  • [Project] Football Players Tracking with YOLOv5 + ByteTRACK
    3 projects | /r/MachineLearning | 10 Dec 2022
    Love this work! By chance, have you heard of the Narya API? They seem to be doing something similar where they're able to track players on the video feed and took it one step further by evaluating players based on "expected discount goals" using a Google Football reinforcement agent.

What are some alternatives?

When comparing make-sense and narya you can also consider the following projects:

label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format

notebooks - Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

cvat - Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. [Moved to: https://github.com/cvat-ai/cvat]

AID - One-Stop System for Machine Learning.

VoTT - Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.

Universal Data Tool - Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data

pytorch-pose-hg-3d - PyTorch implementation for 3D human pose estimation

awesome-object-detection - Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

fs-viewer - Tag your files with xattrs/alt-streams

awesome-open-data-annotation - Open Source Data Annotation & Labeling Tools