Transport Mode detection - can detect the mode of transport with the help of features such as acceeration,jerk etc

Last update: Jan 16, 2022

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Overview

title	emoji	colorFrom	colorTo	sdk	app_file	pinned
Transport_Mode_Detector	🚀	purple	yellow	gradio	app.py	false

Configuration

title: string
Display title for the Space

emoji: string
Space emoji (emoji-only character allowed)

colorFrom: string
Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)

colorTo: string
Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)

sdk: string
Can be either gradio or streamlit

sdk_version : string
Only applicable for streamlit SDK.
See doc for more info on supported versions.

app_file: string
Path to your main application file (which contains either gradio or streamlit Python code).
Path is relative to the root of the repository.

pinned: boolean
Whether the Space stays on top of your list.

Owner

Nishant Rajadhyaksha

Computer engineer

GitHub Repository

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Transport Mode detection - can detect the mode of transport with the help of features such as acceeration,jerk etc

Related tags

Overview

Configuration

Owner

Nishant Rajadhyaksha

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation

you can add any codes in any language by creating its respective folder (if already not available).

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

A PyTorch implementation of SIN: Superpixel Interpolation Network

Overview of architecture and implementation of TEDS-Net, as described in MICCAI 2021: "TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee TopologyPreservation in Segmentations"

Code for CPM-2 Pre-Train

duralava is a neural network which can simulate a lava lamp in an infinite loop.

A Re-implementation of the paper "A Deep Learning Framework for Character Motion Synthesis and Editing"

Job Assignment System by Real-time Emotion Detection

Code for "Multi-View Multi-Person 3D Pose Estimation with Plane Sweep Stereo"

OMNIVORE is a single vision model for many different visual modalities

Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.

Learning Generative Models of Textured 3D Meshes from Real-World Images, ICCV 2021

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