noaa-goes-visualization/ffmpeg_video.py

import subprocess
import os
import shutil
import datetime
import time
import calendar

import numpy as np
from sortedcontainers import SortedDict
import tqdm
from PIL import Image

path_to_images = r"..\composite\goes16"
output_file = r"..\goes16_2024.mp4"
interp_file = r"..\goes16_2024_interp.mp4"
ffmpeg_path = r"..\ffmpeg.exe"
starttime = calendar.timegm(datetime.datetime(2024, 1, 1, tzinfo=datetime.timezone.utc).timetuple())
stoptime = calendar.timegm(datetime.datetime(2025, 1, 1, tzinfo=datetime.timezone.utc).timetuple())
min_file_size = 350000 # Detect and remove corrupted files by filtering by file size
max_file_size = 450000
encoding_crf = 16
max_frame_interp = 120

# Set up ffmpeg to stream images from an input pipe
command_line = f'{ffmpeg_path} -y -f image2pipe -framerate 60 -i - -c:v libx264 -crf {encoding_crf} -preset veryfast {output_file}'
print(command_line)
p = subprocess.Popen(command_line, shell=True, stdout=subprocess.PIPE, stdin=subprocess.PIPE)

black_image = Image.fromarray(np.zeros((1080, 1920, 3), dtype='uint8'))

files_by_time = SortedDict()
for root, dirs, files in tqdm.tqdm(os.walk(path_to_images), desc="Finding and filtering files."):
    for f in files:
        if f.endswith('.jpg'):
            fpath = os.path.join(root, f)
            fsize = os.path.getsize(fpath)
            time_chunk = f.replace('-', '.').replace('_', '.').split('.')[1]
            ftime = int(time_chunk)
            if (fsize > min_file_size) and (fsize < max_file_size) and (ftime > starttime) and (ftime < stoptime):
                files_by_time[ftime] = fpath

difftimes = np.diff(files_by_time.keys())
unique, counts = np.unique(difftimes, return_counts=True)
interval = unique[0]
assert np.sum((unique % interval) > 0) == 0 # Ensure all our timestamps align perfectly with our interval

prevtime = files_by_time.peekitem(0)[0] - interval
for t, f in tqdm.tqdm(files_by_time.items(), desc="FFMPEG encoding images", total = len(files_by_time)):
    framejump = (t - prevtime) // interval
    if framejump < max_frame_interp:
        for i in range(framejump - 1): # Fill black frames to fill gaps, these will later be interpolated with ffmpeg
            black_image.save(p.stdin, 'jpeg', quality = 95)
    else: # Skip past intervals that are too large to fill reasonably
        print(f"Detected a frame gap of: {framejump}!")
    with open(f, 'rb') as fh:
        p.stdin.write(fh.read())
    prevtime = t

p.stdin.close() # Close the ffmpeg input pipe
p.wait() # Wait for ffmpeg to finish encoding

command_line = f'{ffmpeg_path} -y -i {output_file} -vf blackframe=0,metadata=select:key=lavfi.blackframe.pblack:value=95:function=less,minterpolate=mi_mode=mci:mc_mode=aobmc:me_mode=bidir:vsbmc=1:me=fss -c:a copy -c:v libx264 -crf {encoding_crf} -preset veryfast {interp_file}'
print(command_line)

pipe = subprocess.Popen(command_line, shell=True, stdout=subprocess.PIPE).stdout
output = pipe.read().decode()
pipe.close()