Files
video-thumbnail-generator/generator
2020-12-26 15:23:13 -08:00

192 lines
5.7 KiB
Python
Executable File

#!/usr/bin/env python3
"""Video Thumbnail Generator
Usage:
./generator <video> <interval> <width> <height> <columns> <output> [<parallelism>]
./generator (-h | --help)
./generator --version
Options:
-h --help Show this screen.
--version Show version.
<video> Video filepath.
<interval> Interval em seconds between frames.
<width> Width of each thumbnail.
<height> Height of each thumbnail.
<columns> Total number of thumbnails per line.
<output> Output.
[<parallelism>] Number of files to process in parallel.
"""
from docopt import docopt
from moviepy.editor import VideoFileClip
from PIL import Image
from click import progressbar
from collections import namedtuple
from multiprocessing import cpu_count, Queue, Process
import glob
import os
import random
import shutil
import math
import tempfile
import sys
TMP_FRAMES_PATH = tempfile.mkdtemp()
def generate_video_thumbnails(args):
input_path = args['<video>']
interval = int(args['<interval>'])
size = (int(args['<width>']), int(args['<height>']))
columns = int(args['<columns>'])
output_path = args['<output>']
parallelism = args.get('[<parallelism>]', cpu_count()*2-1)
work_queue = Queue()
work_units = 0
if os.path.isdir(input_path):
# Ensure output path is also directory
if not os.path.isdir(output_path):
print(
"If input path is directory then "
"output path must be directory"
)
sys.exit(1)
# Strip seperator so contructing output is uniform
output_path = output_path.rstrip(os.sep)
# Add all files in directory for processing
for file_name in os.listdir(input_path):
file_path = os.path.join(input_path, file_name)
if os.path.isfile(file_path):
# Construct output path for thumbnail using
# the video files filename
single_output_path = os.path.join(
output_path, os.path.basename(file_path) + ".png"
)
work_queue.put((file_path, single_output_path,
interval, size, columns,))
work_units += 1
else:
work_queue.put((input_path, output_path, interval, size, columns,))
work_units += 1
# Limit the number of parallel jobs if lower number of files
parallelism = min(int(parallelism), work_units)
# Start worker processes
processes = []
for i in range(parallelism):
p = Process(target=worker, args=(work_queue,))
p.start()
processes.append(p)
# Block until all processes complete
for p in processes:
p.join()
def worker(queue):
while True:
try:
work_unit = queue.get(False)
# If no work unit then quit
if not work_unit:
break
except:
break
input_file, output_file, interval, size, columns = work_unit
try:
video_file_clip = VideoFileClip(input_file)
output_prefix = get_output_prefix()
file_name = os.path.basename(input_file)
generate_frames(file_name, video_file_clip,
interval, output_prefix, size)
generate_sprite_from_frames(output_prefix, columns,
size, output_file)
except:
print("Error occurred with file: {}".format(file_name))
def generate_frames(file_name, video_file_clip, interval, output_prefix, size):
duration = video_file_clip.duration
frame_count = 0
total_frames = int(duration / interval)
for i in range(0, int(duration), interval):
print("[{file_name}] Extracting frame {current}/{total}".
format(file_name=file_name, current=frame_count+1,
total=total_frames+1))
extract_frame(video_file_clip, i, output_prefix, size, frame_count)
frame_count += 1
def extract_frame(video_file_clip, moment, output_prefix, size, frame_count):
output = output_prefix + ("%05d.png" % frame_count)
video_file_clip.save_frame(output, t=int(moment))
resize_frame(output, size)
def resize_frame(filename, size):
image = Image.open(filename)
image = image.resize(size, Image.ANTIALIAS)
image.save(filename)
def generate_sprite_from_frames(frames_path, columns, size, output):
frames_map = sorted(glob.glob(frames_path + "*.png"))
master_width = size[0] * columns
master_height = size[1] * int(math.ceil(float(len(frames_map)) / columns))
line, column, mode = 0, 0, 'RGBA'
try:
final_image = Image.new(
mode=mode,
size=(master_width, master_height),
color=(0, 0, 0, 0)
)
final_image.save(output)
except IOError:
mode = 'RGB'
final_image = Image.new(mode=mode, size=(master_width, master_height))
for filename in frames_map:
with Image.open(filename) as image:
location_x = size[0] * column
location_y = size[1] * line
final_image.paste(image, (location_x, location_y))
column += 1
if column == columns:
line += 1
column = 0
final_image.save(output)
shutil.rmtree(frames_path, ignore_errors=True)
output_file = os.path.basename(output)
print("[{output_file}] Saved".format(output_file=output_file))
def get_output_prefix():
if not os.path.exists(TMP_FRAMES_PATH):
os.makedirs(TMP_FRAMES_PATH)
return TMP_FRAMES_PATH + os.sep + ("%032x_" % random.getrandbits(128))
if __name__ == "__main__":
arguments = docopt(__doc__, version='0.0.2')
generate_video_thumbnails(arguments)