This is a virtual picture dragging application. Users may virtually slide photos across the screen. The distance between the index and middle fingers determines the movement. Smaller distances indicate click and motion, whereas bigger distances indicate only hand movement.

Last update: Dec 17, 2022

Overview

Virtual_Image_Dragger

This is a virtual picture dragging application. Users may virtually slide photos across the screen. The distance between the index and middle fingers determines the movement. Smaller distances indicate click and motion, whereas bigger distances indicate only hand movement.

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Project Demo https://www.linkedin.com/posts/randrita-sarkar-8690591a1_mediapipe-cvzone-python-activity-6840968295701651456-1-NZ

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Owner

Randrita Sarkar

Converting words into codes!

GitHub Repository

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This is a virtual picture dragging application. Users may virtually slide photos across the screen. The distance between the index and middle fingers determines the movement. Smaller distances indicate click and motion, whereas bigger distances indicate only hand movement.

Related tags

Overview

Virtual_Image_Dragger

IDEA

CONNECT WITH ME

THANK YOU 🎉

Owner

Randrita Sarkar

Randomized Correspondence Algorithm for Structural Image Editing

Implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

🏆 The 1st Place Submission to AICity Challenge 2021 Natural Language-Based Vehicle Retrieval Track (Alibaba-UTS submission)

Neural-net-from-scratch - A simple Neural Network from scratch in Python using the Pymathrix library

Implementation of MA-Trace - a general-purpose multi-agent RL algorithm for cooperative environments.

Lab course materials for IEMBA 8/9 course "Coding and Artificial Intelligence"

You can draw the corresponding bounding box into the image and save it according to the result file (txt format) run by the tracker.

This repo tries to recognize faces in the dataset you created

A curated list of awesome game datasets, and tools to artificial intelligence in games

VIMPAC: Video Pre-Training via Masked Token Prediction and Contrastive Learning

Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)

The implementation for paper Joint t-SNE for Comparable Projections of Multiple High-Dimensional Datasets.

Python Jupyter kernel using Poetry for reproducible notebooks

Official implementation of MSR-GCN (ICCV 2021 paper)

ParaGen is a PyTorch deep learning framework for parallel sequence generation

Bringing Characters to Life with Computer Brains in Unity

Some toy examples of score matching algorithms written in PyTorch

KDD CUP 2020 Automatic Graph Representation Learning: 1st Place Solution

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

Code accompanying "Dynamic Neural Relational Inference" from CVPR 2020