Copy CrowdHuman dataset with `person head` label changed to 80

prepare_labels_COCO_CrowdHuman.sh

#!/bin/bash

# Copies the dataset
# Changes the person head label of the CrowdHuman to 80.
# Initial CrowdHuman dataset can be obtained from
#   - https://gist.github.com/adujardin/62653118466962264aa0c6339c3e9cf5#file-crowdhuman_to_yolo-py-L144

datasets="/home/user/code/datasets"
newFolder="NewCrowdHuman"

# If it exists, delete the new folder
if [ -d ${datasets}/${newFolder} ]; then
    rm -rf ${datasets}/${newFolder}
fi

# Create a new folder
mkdir -p ${datasets}/${newFolder}
mkdir -p ${datasets}/${newFolder}/images
mkdir -p ${datasets}/${newFolder}/labels

# Copy the CrowdHuman labels and images
cp -r ${datasets}/CrowdHuman/images/train ${datasets}/${newFolder}/images/
cp -r ${datasets}/CrowdHuman/labels/train ${datasets}/${newFolder}/labels/
cp -r ${datasets}/CrowdHuman/images/val ${datasets}/${newFolder}/images/
cp -r ${datasets}/CrowdHuman/labels/val ${datasets}/${newFolder}/labels/

# Modify the copied labels
# Every CrowdHuman label has the form "id x y w h", replace all IDs 1 with 80
for file in ${datasets}/${newFolder}/labels/train/*; do
    awk '{if ($1 == 1) $1 = 80; print}' "$file" > tmp && mv tmp "$file"
done
for file in ${datasets}/${newFolder}/labels/val/*; do
    awk '{if ($1 == 1) $1 = 80; print}' "$file" > tmp && mv tmp "$file"
done