readyNN VS yolov7

Compare readyNN vs yolov7 and see what are their differences.

readyNN

Links to Neural Networks that are ready to use, with pretrained weights, and license info. (by mahnehsilla)

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors (by WongKinYiu)
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readyNN yolov7
1 33
0 12,769
- -
1.9 3.2
about 1 year ago 14 days ago
Jupyter Notebook
- GNU General Public License v3.0 only
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.

readyNN

Posts with mentions or reviews of readyNN. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-27.
  • DL for the Web: Repository of Models
    2 projects | /r/deeplearning | 27 Feb 2023
    I set up a Github Repository To List Useful Models or Hubs and has a "Discussions" tab to connect to others. The account was made only for that matter, that will be the only repository.

yolov7

Posts with mentions or reviews of yolov7. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-17.

What are some alternatives?

When comparing readyNN and yolov7 you can also consider the following projects:

yolov3 - YOLOv3 in PyTorch > ONNX > CoreML > TFLite

edgetpu - Coral issue tracker (and legacy Edge TPU API source)

edgetpu-yolo - Minimal-dependency Yolov5 export and inference demonstration for the Google Coral EdgeTPU

YOLOv4 - Port of YOLOv4 to C# + TensorFlow

darknet - Convolutional Neural Networks

XMem - [ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

BCNet - Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

CATNet - 🛰️ Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images (TNNLS 2023)

yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

yolact - A simple, fully convolutional model for real-time instance segmentation.

deeplab2 - DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.

Cream - This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/AutoML]