pax7

pax7

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AnyFace

Input-Agnostic Face Detection

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cord

CORD: A Consolidated Receipt Dataset for Post-OCR Parsing

License:CC-BY-4.0Stargazers:0Issues:0Issues:0

Deep-Live-Cam

real time face swap and one-click video deepfake with only a single image (uncensored)

License:AGPL-3.0Stargazers:0Issues:0Issues:0

Depth-Anything-V2

Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

License:Apache-2.0Stargazers:0Issues:0Issues:0

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

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donut

Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022

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face_recognition

The world's simplest facial recognition api for Python and the command line

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facenet

Face recognition using Tensorflow

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faiss

A library for efficient similarity search and clustering of dense vectors.

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FeatUp

Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024

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instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

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LivePortrait

Bring portraits to life!

License:MITStargazers:0Issues:0Issues:0

MAVSDK-Python

MAVSDK client for Python.

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nano_build_opencv

Build OpenCV on Nvidia Jetson Nano

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neat-python

Python implementation of the NEAT neuroevolution algorithm

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PaddleOCR

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

License:Apache-2.0Stargazers:0Issues:0Issues:0

pips2

PIPs++

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PyDMXControl

A Python 3 module to control DMX using OpenDMX or uDMX - Featuring fixture profiles, built-in effects and a web control panel.

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pytorch-examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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Segment-and-Track-Anything

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

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stable-diffusion

A latent text-to-image diffusion model

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stitching

A Python package for fast and robust Image Stitching

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stitching_tutorial

A repository for presenting the functionalty of the python 'stitching' package

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SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

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supervision

We write your reusable computer vision tools. 💜

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ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

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ultralytics_assets

Ultralytics assets

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YOLOv8-TensorRT

YOLOv8 using TensorRT accelerate !

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yolov9

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

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