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Filter multiple pose datasets (coco, flic, lsp, mpii, ai_challenge)

Python 4.13% Lua 1.13% MATLAB 3.27% C++ 1.11% Makefile 0.01% Jupyter Notebook 89.82% C 0.52%
coco lsp mpii ai-challenges pose-estimation pose pose-dataset

posedatasets's Introduction

PoseDatasets

Usage

python ai_dataset.py
python coco_dataset.py
python mpii_dataset.py
python lsp_dataset.py

Default setting

# KEYPOINT_NUM = 10
# WIDTH_RATIO = 0.2
# HEIGHT_RATIO = 0.3
# PERSON_NUM = 10
filter_configs = {
    "c1": [10, 10, 0.2, 0.3],
    "c2": [10, 13, 0.2, 0.3],
    "c3": [5, 10, 0.2, 0.3],
    "c4": [5, 8, 0.2, 0.3],
    "c5": [8, 10, 0.05, 0.1],
    "c6": [8, 8, 0.1, 0.15],
    "c7": [8, 8, 0.3, 0.6]
}
mode = "c7"

You can use different mode or self-designed mode in img_filter.py

MPII data format

AI challenge data format

Attention⚠️

when judge vis > 0

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