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

Shuffle Attention for MobileNetV3

A PyTorch implementation of "TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?"

Semantically Contrastive Learning for Low-light Image Enhancement

PlenOctrees: NeRF-SH Training & Conversion

AttGAN: Facial Attribute Editing by Only Changing What You Want (IEEE TIP 2019)

The hippynn python package - a modular library for atomistic machine learning with pytorch.

ConvMAE: Masked Convolution Meets Masked Autoencoders

NeuralCompression is a Python repository dedicated to research of neural networks that compress data

Code for the paper "Implicit Representations of Meaning in Neural Language Models"

Benchmarking the robustness of Spatial-Temporal Models

RoMA: Robust Model Adaptation for Offline Model-based Optimization

automated systems to assist guarding corona Virus precautions for Closed Rooms (e.g. Halls, offices, etc..)

[NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Animashree Anandkumar, and Zhangyang Wang.

Code release for BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images

PyContinual (An Easy and Extendible Framework for Continual Learning)

SuRE Evaluation: A Supplementary Material

Convert ONNX model graph to Keras model format.

Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis

(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"

Semi-supervised Domain Adaptation via Minimax Entropy