pipeless
An open-source computer vision framework to build and deploy apps in minutes (by pipeless-ai)
Pallaidium
Generative AI for the Blender VSE: Text, video or image to video, image and audio in Blender Video Sequence Editor. (by tin2tin)
| pipeless | Pallaidium | |
|---|---|---|
| 24 | 8 | |
| 656 | 820 | |
| 6.4% | - | |
| 9.7 | 9.2 | |
| 13 days ago | 14 days ago | |
| Rust | Python | |
| Apache License 2.0 | 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.
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.
pipeless
Posts with mentions or reviews of pipeless.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-24.
-
Vision AI agents for any task
After spending some months working on the Pipeless open-source framework, today I bring something new and really cool: Pipeless Agents
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Computer vision at the edge with Nvidia Jetson in 2 commands
pipeless init my-project --template empty # Using the empty template we avoid the interactive shell cd my-project wget -O - https://github.com/pipeless-ai/pipeless/archive/main.tar.gz | tar -xz --strip=2 "pipeless-main/examples/yolo"
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Creating a computer vision app in minutes with just two Python functions
wget -O - https://github.com/pipeless-ai/pipeless/archive/main.tar.gz | tar -xz --strip=2 "pipeless-main/examples/onnx-yolo"
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Simplifying Computer Vision: A Journey with Pipeless
Check the live demo in the website
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Playing a piano with your eyes - Gaze estimation
The code is available in the Pipeless GitHub repository: https://github.com/pipeless-ai/pipeless/tree/main/examples/yolo
- Stateless vs Stateful hooks in your computer vision applications with Pipeless
-
Navigating computer vision development
Recently, a new alternative called Pipeless has appeared. Pipeless is an open-source framework that focuses on providing a great development experience and out-of-the-box performance. It offers a really easy stream management allowing you to add, edit, and remove streams on the fly as well as processing multiple streams. Furthermore, it offers you the possibility to deploy the applications either to the cloud or directly to embedded or edge devices.
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Serverless development experience for embedded computer vision
You can find the repo here: https://github.com/pipeless-ai/pipeless
Pipeless is an open-source computer vision framework that ships everything you need to build and deploy computer vision applications really fast.
Pallaidium
Posts with mentions or reviews of Pallaidium.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-08-28.
-
Würstchen is here! A game changing, fastest high-resolution image generation model
Get Pallaidium for free here: https://github.com/tin2tin/Pallaidium
- FLaNK Stack Weekly 28 August 2023
-
Text-to-Video Model Fine-Tuned with 512x512 Anime-Style for Diffusers
Cool. Now, this set has been enabled in the Blender Generative AI add-on: https://github.com/tin2tin/Generative_AI
- Batch-generating Animov txt2vid in Blender video editor timeline with an add-on
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DeepFloyd IF added to the Generative AI add-on for Blender VSE
DeepFloyd added to an experimental branch of the Generative AI Blender VSE add-on! - Download: https://github.com/tin2tin/Generative_AI/tree/DeepFloyd - Install the add-on in Blender - Select the model card. - Enter hugginface token. - VSE sidebar: select Image - Generate. - Wait: 16 GB dl. - Needs 16 GB of VRAM
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Text to Video directly in the Blender VSE timeline with an add-on
Get the add-on here: https://github.com/tin2tin/text_to_video
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Bad featuring Darth Vader - ModelScope
Generated with ModelScope from the Blender Video Sequence Editor with this add-on: https://github.com/tin2tin/text_to_video
- Text to Video to the Blender Video Sequence Editor using ModelScope. Please test it.
What are some alternatives?
When comparing pipeless and Pallaidium you can also consider the following projects:
FaceFusion - Next generation face swapper and enhancer
Text-To-Video-Finetuning - Finetune ModelScope's Text To Video model using Diffusers 🧨
ffmpeg-sidecar - Wrap a standalone FFmpeg binary in an intuitive Iterator interface. 🏍
inst-inpaint - A novel inpainting framework that can remove objects from images based on the instructions given as text prompts.
CPPE-Dataset - Code for our paper CPPE - 5 (Medical Personal Protective Equipment), a new challenging object detection dataset
wgpu - A cross-platform, safe, pure-Rust graphics API.
supervision - We write your reusable computer vision tools. 💜
opencopilot - 🕊️ Build and embed open-source AI Copilots into your product with ease
automl-app - AutoML Web App - build Machine Learning pipeline in automatic way with Graphical User Interface (GUI). You can run app locally!
PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
FLaNK-HuggingFace-DistilBert-SentimentAnalysis - Apache NiFi - distilbert-base-uncased-finetuned-sst-2-english
pipeless vs FaceFusion
Pallaidium vs Text-To-Video-Finetuning
pipeless vs ffmpeg-sidecar
Pallaidium vs inst-inpaint
pipeless vs CPPE-Dataset
Pallaidium vs FaceFusion
pipeless vs wgpu
Pallaidium vs supervision
pipeless vs opencopilot
Pallaidium vs automl-app
pipeless vs PixelLib
Pallaidium vs FLaNK-HuggingFace-DistilBert-SentimentAnalysis