ETH-UCY-Preprocessing

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ETH-UCY-Preprocessing

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Preprocessing the ETH and UCY datasets

ETH-UCY-Preprocessing 최신버젼 다운로드

최종 버전 다운로드 (.zip)

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# ETH-UCY-Preprocessing

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Annotation files given in BIWI dataset (http://www.vision.ee.ethz.ch/en/datasets/) 
Info : Video frame rate: 2.5fps (6 frames = 0.04s)

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Annotation files given in crowds dataset (https://graphics.cs.ucy.ac.cy/research/downloads/crowd-data) 
Info: Video frame rate: 25fps (1 frame = 0.04s).

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In this repository you will find the Python script and preprocessed data where:

Data_Formated_<file name>.csv: 
Extracted data from (obsmat.txt for ETH data, .VSP file from the UCY dataset) and adjusted to the desired format which is [FrameID, PedID, PosX,PosY] 
(meters if its from the ETH dataset, and pixels if its from the UCY dataset) 
 
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Data_in_meters_<file name>.csv: 
Data converted from image coordinates to world coordinates. 
(meters) 
 
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interpolated_data_<file name>.csv: 
Interpolate data from Data_in_meters for each frame. 
(meters) 
 
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Final_data_<file name>.csv: 
Extract interpolated_data at every 10 frames (2.5fps) 
(meters)

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UCY Preprocessing.ipynb, ETH Preprocessing.ipynb: 
Python scripts for the preprocessing steps for each dataset.

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KNIME Analytics platform workflow: 
A workflow for extracting data analytics and data cleaning.
 
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ETH-UCY-Preprocessing

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