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Pixlab Alternatives
Similar projects and alternatives to pixlab
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CodeRabbit
CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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qdrant
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
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quickwit
Cloud-native search engine for observability. An open-source alternative to Datadog, Elasticsearch, Loki, and Tempo.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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google-search-results-nodejs
SerpApi client library for Node.js. Previously: Google Search Results Node.js.
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TileDB-Vector-Search
Cloud-native vector similarity search and storage with efficient, serverless scale-out
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ANTLR
ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files.
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marvin-framework
Marvin Image Processing Framework provides features for processing images and videos in real-time.
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BoofCV
Fast computer vision library for SFM, calibration, fiducials, tracking, image processing, and more.
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aws-doc-sdk-examples
Welcome to the AWS Code Examples Repository. This repo contains code examples used in the AWS documentation, AWS SDK Developer Guides, and more. For more information, see the Readme.md file below.
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SaaSHub
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pixlab discussion
pixlab reviews and mentions
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Verify IDs with DOCSCAN API and Next.js
PixLab is a Machine Learning SaaS platform that offers Computer Vision and Media Processing APIs either via a straightforward HTTP RESTful API or offline SDK via the SOD Embedded CV library.
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How to Filter Image Uploads using PixLab NSFW API & Next.js
In this tutorial, we are building a Next.js application - PicFil, that filters image uploads with PixLab's NSFW API. Users can upload an image or enter a link to the image they want to check.
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Integration of Facial Authentication (Recognition) on an Employee Dashboard using FACEIO, Next.js & Typescript.
When asked to select a Facial Recognition Engine for the application, choose PixLab Insight. The engine will be used for mapping each enrolled user’s face in real-time into a mathematical feature vector, known as a biometric hash, which is in turn stored in a sand-boxed binary index. This is used to protect the data of users when they are authenticated with FACEIO.
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🕵️♀️ Detect And Blur Human Faces with Ai in NextJS ✨
In this blog post, I will show you a live demo and how you can implement this in your Nextjs/React app using PixLab's powerful computer vision APIs.
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Ask HN: Who is hiring? (September 2023)
PixLab (https://pixlab.io) & FACEIO (https://faceio.net) | Full-or-part-time | Remote | Computer Vision / Full stack Engineers |
PixLab, a leading provider of Machine Vision, Face Recognition & Media Processing APIs is looking for:
* Embedded C & Computer Vision engineer(s) to work on the SOD (https://sod.pixlab.io), embedded computer vision library.
* Senior Python engineer with proficiency in PyTorch to work on FACEIO (https://faceio.net), our facial authentication web framework for web sites & apps.
* C++ developer with ML expertise to work on the port of Tiny-Dream (https://pixlab.io/tiny-dream), our embedded Stable Diffusion C++ library from ncnn to ggml.
* React/Vue JS Web developer(s) with expertise in fabric.js to work on a brand new, web based photo editing software backed by generative AI.
Reach out to Vincent via contact AT pixlab.io with your resume if interested.
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Introducing FACEIO - Facial Authentication for the Web
We are pleased to introduce FACEIO, a product developed from scratch here at PixLab in the past few years. We look forward to hear your thoughts about this...
- Show HN: Face IO – Facial Authentication for the Web
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Detect and blur faces in flutter using pixlab API
import 'package:flutter/material.dart'; import 'package:dio/dio.dart'; void main() { runApp( const MaterialApp( home: FaceBlurPage(), ), ); } class FaceBlurPage extends StatefulWidget { const FaceBlurPage({super.key}); @override State createState() => _FaceBlurPageState(); } class _FaceBlurPageState extends State { String pixlabkey = "74389de25cb37a10adf615e8a79c8da4"; String imagelink = "https://pixlab.io/images/m3.jpg"; String? blurImagelink; // Instentiating Dio var dio = Dio(); // Detect faces using pixlab API Future detectFaces(String image) async { return dio.get( "https://api.pixlab.io/facedetect", queryParameters: { "img": image, "key": pixlabkey, }, ); } // Blurring faces using facial coordinates Future blurface(String image, List coordinates) async { return await dio.post( "https://api.pixlab.io/mogrify", data: { "img": image, "key": pixlabkey, "cord": coordinates, }, options: Options(contentType: "application/json"), ); } @override Widget build(BuildContext context) { return Scaffold( appBar: AppBar( title: const Text("Face Blur Example"), ), body: Column( children: [ Image.network(imagelink), blurImagelink != null ? Image.network(blurImagelink!) : const Text("No image provided"), ], ), floatingActionButton: FloatingActionButton( onPressed: () async { Response faces = await detectFaces(imagelink); Response blurfaceImageResponse = await blurface(imagelink, faces.data["faces"]); setState(() { blurImagelink = blurfaceImageResponse.data["ssl_link"]; }); }, child: const Icon(Icons.auto_mode_rounded), ), ); } }
- Show HN: PixLab – Machine Vision and Media Processing APIs
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Show HN: PixLab – Computer Vision and Media Processing API Portal
Hi HN,
My team and I, developed PixLab as a independent product (kind of subsidiary now) back in 2017 for our parent company (Symisc Systems). Since then, the platform has grown to over 130 Computer Vision API endpoints[1], and hundreds of API consumers. We currently serve over 29 million API requests each month. We’ve bootstrapped PixLab entirely ourselves. Our goal is to build a product that developers enjoy using.
PixLab is a unified API platform that integrates vision, storage, prediction, annotation, and media processing. We offer cloud Rest APIs (https://pixlab.io/api), on-premises deployment (https://pixlab.io/on-premises), and embedded C/C++ SDK (https://sod.pixlab.io). Our API offering includes Face Detection|Blur|Recognition, Content Moderation, NSFW Classification, Passports/ID Scan, Gender/Age detection, Image Tagging, and many others[1]. We’d love you to try PixLab and let us know what you think. You can find out some production ready code samples at the samples page[2] and the Github repository[3]
[1]: https://pixlab.io/cmdls
[2]: https://pixlab.io/examples
[3]: https://github.com/symisc/pixlab
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A note from our sponsor - SaaSHub
www.saashub.com | 11 Nov 2024
Stats
symisc/pixlab is an open source project licensed under BSD 2-clause "Simplified" License which is an OSI approved license.
The primary programming language of pixlab is Java.