VolleyVision VS gluon-cv

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

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VolleyVision gluon-cv
2 1
141 5,751
- 0.9%
8.7 1.8
23 days ago over 1 year ago
Python Python
GNU Affero General Public License v3.0 Apache 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.

VolleyVision

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

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.

What are some alternatives?

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

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

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

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

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

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

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

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

hagrid - HAnd Gesture Recognition Image Dataset

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

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

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.