- image-crop-analysis VS vqgan-clip-generator
- image-crop-analysis VS Face-Mask-Detection
- image-crop-analysis VS oemer
- image-crop-analysis VS neural-style-transfer
- image-crop-analysis VS Neural-Style-Transfer
- image-crop-analysis VS computervision-recipes
- image-crop-analysis VS astrophotography_stack_align
- image-crop-analysis VS SUBLIME
- image-crop-analysis VS OpenFilter
Image-crop-analysis Alternatives
Similar projects and alternatives to image-crop-analysis
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vqgan-clip-generator
Implements VQGAN+CLIP for image and video generation, and style transfers, based on text and image prompts. Emphasis on ease-of-use, documentation, and smooth video creation.
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Face-Mask-Detection
Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
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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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oemer
End-to-end Optical Music Recognition (OMR) system. Transcribe phone-taken music sheet image into MusicXML, which can be edited and converted to MIDI.
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neural-style-transfer
:paintbrush: This repository contains, well-structured Python library and runnable fully prepared Python notebook of the "Neural Style Transfer" algorithm (by egesabanci)
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computervision-recipes
Discontinued Best Practices, code samples, and documentation for Computer Vision.
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astrophotography_stack_align
Align sequence of star field / astro images taken with a stationary camera (stationary relative to all those stars light years away).
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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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SUBLIME
Semantically Understanding Bias with LIME. Using the LIME-RS Algorithm to understand bias in recommender systems. (by FurkanToprak)
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OpenFilter
This repository refers to the paper currently under review for the 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks, under the title "OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters", by Piera Riccio, Bill Psomas, Francesco Galati, Francisco Escolano, Thomas Hofmann and Nuria Oliver.
image-crop-analysis reviews and mentions
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The Twitter Ranking Algorithm
Yep, it's gonna just be like when they "open-sourced" their image cropping algorithm and it's just that they provided the model and didn't specify their training data. Granted, yes, you can provide analysis like they did on Github [1] but you don't know _why_ it's outputting something.
[1]: https://github.com/twitter-research/image-crop-analysis
- Twitter pagará recompensas a quienes identifiquen sesgos en su algoritmo: estos son los premios
Stats
twitter-research/image-crop-analysis is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of image-crop-analysis is Jupyter Notebook.