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License:
humans / create_dataset.sh
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#!/bin/bash
merge() {
local backgrounds_dir="backgrounds"
local segmentations_dir="humans"
background=$(find "$backgrounds_dir" -type f | shuf -n 1)
segmentation=$(find "$segmentations_dir" -type f | shuf -n 1)
echo "Iteration $i: $segmentation + $background"
python3 "util/merge_images.py" \
-b "$background" -s "$segmentation" \
-im "$1" -gt "$2"
}
main() {
local max_iterations=2000
local train_gt_path="dataset/training/gt"
local train_image_path="dataset/training/im"
local validation_gt_path="dataset/validation/gt"
local validation_image_path="dataset/validation/im"
for ((i = 0 ; i <= $max_iterations ; i++)); do
# For quicker creation some parallelization
# Notice: last iteration is for validation set
{
merge "$train_image_path" "$train_gt_path" &
merge "$train_image_path" "$train_gt_path" &
merge "$train_image_path" "$train_gt_path" &
merge "$train_image_path" "$train_gt_path" &
merge "$train_image_path" "$train_gt_path" &
merge "$train_image_path" "$train_gt_path" &
merge "$train_image_path" "$train_gt_path" &
merge "$train_image_path" "$train_gt_path" &
merge "$train_image_path" "$train_gt_path" &
merge "$validation_image_path" "$validation_gt_path" &
}
wait
done
}
main