Implemented a preprocessing script together with ChatGPT, very impressive.
#!/bin/bash
OUTPUT_DIR="/data/mp4/frames"
mkdir ${OUTPUT_DIR}
FLENAME_PREFIX_LIST="bmx-bumps bmx-trees"
for FLENAME_PREFIX in $FLENAME_PREFIX_LIST; do
  INPUT_VIDEO_PATH="/data/mp4/${FLENAME_PREFIX}.mp4"
  
  mkdir ${OUTPUT_DIR}/${FLENAME_PREFIX}
  
  input_text=$(ffprobe -i ${INPUT_VIDEO_PATH} -v quiet -select_streams v -show_entries frame=pkt_pts_time,pict_type)
  echo $input_text
  index=0
  declare -a frame_map_type
  declare -a frame_map_time
  while IFS= read -r line; do
      if [[ $line == *"pkt_pts_time"* ]]; then
          time=$(echo "$line" | awk -F'=' '{print $2}')
          frame_map_time+=("$index, $time")
      elif [[ $line == *"pict_type"* ]]; then
          type=$(echo "$line" | awk -F'=' '{print $2}')
          frame_map_type+=("$index, $type")
          index=$((index+1))
      fi
  done <<< "$input_text"
  # print frame map
  rm "${OUTPUT_DIR}/${FLENAME_PREFIX}/frame_map_type.txt"
  for key in "${!frame_map_type[@]}"; do
      echo "${frame_map_type[$key]}" | tee -a "${OUTPUT_DIR}/${FLENAME_PREFIX}/frame_map_type.txt"
  done
  
  rm "${OUTPUT_DIR}/${FLENAME_PREFIX}/frame_map_time.txt"
  for key in "${!frame_map_time[@]}"; do
      echo "${frame_map_time[$key]}" | tee -a "${OUTPUT_DIR}/${FLENAME_PREFIX}/frame_map_time.txt"
  done
  echo $FLENAME_PREFIX
  
done
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Source: github.com/k4yt3x/flowerhd
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