YOLOv3-Cloud-Based-Fire-Detection VS peacasso

Compare YOLOv3-Cloud-Based-Fire-Detection vs peacasso and see what are their differences.

YOLOv3-Cloud-Based-Fire-Detection

Custom Object detection using YOLOv3 on the cloud. It is trained to detect Fire in a given frame. It can be largely used for Wildfires, fire accidents, etc. (by snehitvaddi)

peacasso

UI interface for experimenting with multimodal (text, image) models (stable diffusion). (by victordibia)
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
YOLOv3-Cloud-Based-Fire-Detection peacasso
1 2
38 350
- -
1.5 3.3
12 months ago 9 months ago
Jupyter Notebook Jupyter Notebook
- MIT License
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.

YOLOv3-Cloud-Based-Fire-Detection

Posts with mentions or reviews of YOLOv3-Cloud-Based-Fire-Detection. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-10.

peacasso

Posts with mentions or reviews of peacasso. We have used some of these posts to build our list of alternatives and similar projects.
  • [P] Mixing Prompts (with Weights) in Stable Diffusion Models
    1 project | /r/MachineLearning | 2 Nov 2022
    The concept is not entirely novel, but figuring out a good user experience is the more interesting part. It is implemented in the Peacasso library (based on huggingface diffusers).
  • [P] Peacasso - A Web UI for Stable Diffusion Models
    1 project | /r/MachineLearning | 4 Sep 2022
    Peacasso - a UI for interacting with stable diffusion models. As text to image models become smaller, with available weights and generate competitive images (e.g. stable diffusion models), there have been efforts to build interfaces for interacting with these models. Code and instructutions can be found on Github - https://github.com/victordibia/peacasso.

What are some alternatives?

When comparing YOLOv3-Cloud-Based-Fire-Detection and peacasso you can also consider the following projects:

learnopencv - Learn OpenCV : C++ and Python Examples

stablediffusion-infinity - Outpainting with Stable Diffusion on an infinite canvas

TrainYourOwnYOLO - Train a state-of-the-art yolov3 object detector from scratch!

fake-news - Building a fake news detector from initial ideation to model deployment

FireNET - A deep learning model for detecting fire in video and camera streams

Deep-Learning - In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).

stable-diffusion-howto - Run Stable Diffusion on your M1 Mac’s GPU (Intel and non-Apple PCs are also supported)

homemade-machine-learning - 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

bitcoin_price_prediction - This project tries to prediction the bitcoin price with machine and deep learning.