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Top 12 Python Sam Projects
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serverless-application-model
The AWS Serverless Application Model (AWS SAM) transform is a AWS CloudFormation macro that transforms SAM templates into CloudFormation templates.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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InternGPT
InternGPT (iGPT) is an open source demo platform where you can easily showcase your AI models. Now it supports DragGAN, ChatGPT, ImageBind, multimodal chat like GPT-4, SAM, interactive image editing, etc. Try it at igpt.opengvlab.com (支持DragGAN、ChatGPT、ImageBind、SAM的在线Demo系统)
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X-AnyLabeling
Effortless data labeling with AI support from Segment Anything and other awesome models.
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comfyui_segment_anything
Based on GroundingDino and SAM, use semantic strings to segment any element in an image. The comfyui version of sd-webui-segment-anything.
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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.
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TinySAM
Official PyTorch implementation of "TinySAM: Pushing the Envelope for Efficient Segment Anything Model"
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aws-cdk-sam-demo
A demo of how to use AWS SAM to test lambda and API Gateway locally generated with AWS CDK.
The complete solution with SAM is available here.
Project mention: Building Scalable Applications with AWS Serverless Application Model | dev.to | 2023-04-28aws-sam-cli-linux
Segment Anything in High Quality (https://arxiv.org/abs/2306.01567)
You can also create an issue and ask the developers for help.
Project mention: X-AnyLabeling: Effortless Data Labeling with AI, Segment Anything and Others | news.ycombinator.com | 2024-03-19
Following the comments to this old post, I tried to use in-painting with manual mask selection. I didn't get beautiful results but I'm sure with some tweaking, I could make it better. The main problem I had was having to manually select the area where I wanted to place the logo and trying to resize my logo mask to the fit the segment. I tried some automatic segmentation tools (Clipseg and Segment Anything). I couldn't tell the segmentation models to find a good area to for logo placement (i.e. some small flat surface). Given the complexity of what I was dealing with, I think there could be a better way (XY problem).
Project mention: [P] Made a simple semantic segmentation annotation tool with segment-anything masks support in PyQt5 | /r/MachineLearning | 2023-09-26I just open-sourced (MIT License) semantic segmentation annotation tool powered by segment-anything model that I used for a while in my projects. Hopefully it will help someone as it seems to me that it is more suitable for small projects than popular huge web based annotation tools. Link to the project: SAMAT (any feedback in Discussions section on GitHub is appreciated) Features:
Python Sam related posts
- Using design patterns in AWS Lambda
- How to blend a logo or clip art to a design
- Building Serverless Applications with AWS – Compute
- Building Serverless Applications with AWS - Data
- AWS Step Function Versions and Aliases
- 12-Jun-2023
- Segment Anything in High Quality
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A note from our sponsor - SaaSHub
www.saashub.com | 19 Apr 2024
Index
What are some of the best open-source Sam projects in Python? This list will help you:
Project | Stars | |
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1 | serverless-application-model | 9,231 |
2 | aws-sam-cli | 6,444 |
3 | sam-hq | 3,324 |
4 | InternGPT | 3,111 |
5 | X-AnyLabeling | 2,360 |
6 | sam | 1,572 |
7 | comfyui_segment_anything | 359 |
8 | TinySAM | 351 |
9 | aws-sam-build-images | 44 |
10 | simple-sam | 40 |
11 | samat | 23 |
12 | aws-cdk-sam-demo | 1 |