Spaces:
Runtime error
Runtime error
File size: 4,578 Bytes
8e542dc |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 |
'''
The code is modified from the Real-ESRGAN:
https://github.com/xinntao/Real-ESRGAN/blob/master/inference_realesrgan_video.py
'''
import cv2
import sys
import numpy as np
try:
import ffmpeg
except ImportError:
import pip
pip.main(['install', '--user', 'ffmpeg-python'])
import ffmpeg
def get_video_meta_info(video_path):
ret = {}
probe = ffmpeg.probe(video_path)
video_streams = [stream for stream in probe['streams'] if stream['codec_type'] == 'video']
has_audio = any(stream['codec_type'] == 'audio' for stream in probe['streams'])
ret['width'] = video_streams[0]['width']
ret['height'] = video_streams[0]['height']
ret['fps'] = eval(video_streams[0]['avg_frame_rate'])
ret['audio'] = ffmpeg.input(video_path).audio if has_audio else None
ret['nb_frames'] = int(video_streams[0]['nb_frames'])
return ret
class VideoReader:
def __init__(self, video_path):
self.paths = [] # for image&folder type
self.audio = None
try:
self.stream_reader = (
ffmpeg.input(video_path).output('pipe:', format='rawvideo', pix_fmt='bgr24',
loglevel='error').run_async(
pipe_stdin=True, pipe_stdout=True, cmd='ffmpeg'))
except FileNotFoundError:
print('Please install ffmpeg (not ffmpeg-python) by running\n',
'\t$ conda install -c conda-forge ffmpeg')
sys.exit(0)
meta = get_video_meta_info(video_path)
self.width = meta['width']
self.height = meta['height']
self.input_fps = meta['fps']
self.audio = meta['audio']
self.nb_frames = meta['nb_frames']
self.idx = 0
def get_resolution(self):
return self.height, self.width
def get_fps(self):
if self.input_fps is not None:
return self.input_fps
return 24
def get_audio(self):
return self.audio
def __len__(self):
return self.nb_frames
def get_frame_from_stream(self):
img_bytes = self.stream_reader.stdout.read(self.width * self.height * 3) # 3 bytes for one pixel
if not img_bytes:
return None
img = np.frombuffer(img_bytes, np.uint8).reshape([self.height, self.width, 3])
return img
def get_frame_from_list(self):
if self.idx >= self.nb_frames:
return None
img = cv2.imread(self.paths[self.idx])
self.idx += 1
return img
def get_frame(self):
return self.get_frame_from_stream()
def close(self):
self.stream_reader.stdin.close()
self.stream_reader.wait()
class VideoWriter:
def __init__(self, video_save_path, height, width, fps, audio):
if height > 2160:
print('You are generating video that is larger than 4K, which will be very slow due to IO speed.',
'We highly recommend to decrease the outscale(aka, -s).')
if audio is not None:
self.stream_writer = (
ffmpeg.input('pipe:', format='rawvideo', pix_fmt='bgr24', s=f'{width}x{height}',
framerate=fps).output(
audio,
video_save_path,
pix_fmt='yuv420p',
vcodec='libx264',
loglevel='error',
acodec='copy').overwrite_output().run_async(
pipe_stdin=True, pipe_stdout=True, cmd='ffmpeg'))
else:
self.stream_writer = (
ffmpeg.input('pipe:', format='rawvideo', pix_fmt='bgr24', s=f'{width}x{height}',
framerate=fps).output(
video_save_path, pix_fmt='yuv420p', vcodec='libx264',
loglevel='error').overwrite_output().run_async(
pipe_stdin=True, pipe_stdout=True, cmd='ffmpeg'))
def write_frame(self, frame):
try:
frame = frame.astype(np.uint8).tobytes()
self.stream_writer.stdin.write(frame)
except BrokenPipeError:
print('Please re-install ffmpeg and libx264 by running\n',
'\t$ conda install -c conda-forge ffmpeg\n',
'\t$ conda install -c conda-forge x264')
sys.exit(0)
def close(self):
self.stream_writer.stdin.close()
self.stream_writer.wait() |