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.

IDEA

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

This is the official code for the paper "Ad2Attack: Adaptive Adversarial Attack for Real-Time UAV Tracking".

Codes for "Template-free Prompt Tuning for Few-shot NER".

GULAG: GUessing LAnGuages with neural networks

The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition

A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.

Implementation of "A Deep Learning Loss Function based on Auditory Power Compression for Speech Enhancement" by pytorch

DeepFashion2 is a comprehensive fashion dataset.

NeuralWOZ: Learning to Collect Task-Oriented Dialogue via Model-based Simulation (ACL-IJCNLP 2021)

GemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)

GLODISMO: Gradient-Based Learning of Discrete Structured Measurement Operators for Signal Recovery

PyTorch implementation for "Sharpness-aware Quantization for Deep Neural Networks".

Implementation of the Transformer variant proposed in "Transformer Quality in Linear Time"

[AAAI 2022] Separate Contrastive Learning for Organs-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation

An AI made using artificial intelligence (AI) and machine learning algorithms (ML) .

Cancer-and-Tumor-Detection-Using-Inception-model - In this repo i am gonna show you how i did cancer/tumor detection in lungs using deep neural networks, specifically here the Inception model by google.

Hierarchical User Intent Graph Network for Multimedia Recommendation

[SIGGRAPH 2020] Attribute2Font: Creating Fonts You Want From Attributes

Code to produce syntactic representations that can be used to study syntax processing in the human brain

End-to-end machine learning project for rices detection

Several simple examples for popular neural network toolkits calling custom CUDA operators.