gluon-cv VS VolleyVision

Compare gluon-cv vs VolleyVision and see what are their differences.

Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
gluon-cv VolleyVision
1 2
5,751 141
0.9% -
1.8 8.7
over 1 year ago 26 days ago
Python Python
Apache License 2.0 GNU Affero General Public License v3.0
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.

gluon-cv

Posts with mentions or reviews of gluon-cv. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-30.

VolleyVision

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

What are some alternatives?

When comparing gluon-cv and VolleyVision you can also consider the following projects:

Video-Dataset-Loading-Pytorch - Generic PyTorch dataset implementation to load and augment VIDEOS for deep learning training loops.

py-motmetrics - :bar_chart: Benchmark multiple object trackers (MOT) in Python

photo2cartoon - 人像卡通化探索项目 (photo-to-cartoon translation project)

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

darkflow - Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

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

hagrid - HAnd Gesture Recognition Image Dataset

yolov4-deepsort - Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.

PeekingDuck - A modular framework built to simplify Computer Vision inference workloads.

ailia-models - The collection of pre-trained, state-of-the-art AI models for ailia SDK

AgML - AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.

YOLOv3_TensorFlow - Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.