232 lines
8.8 KiB
Python
232 lines
8.8 KiB
Python
# Copyright 2022 Lunar Ring. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import subprocess
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import os
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import numpy as np
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from tqdm import tqdm
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import cv2
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from typing import Callable, List, Optional, Union
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import ffmpeg # pip install ffmpeg-python. if error with broken pipe: conda update ffmpeg
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#%%
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class MovieSaver():
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def __init__(
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self,
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fp_out: str,
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fps: int = 24,
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shape_hw: List[int] = None,
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crf: int = 24,
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codec: str = 'libx264',
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preset: str ='fast',
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pix_fmt: str = 'yuv420p',
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silent_ffmpeg: bool = True
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):
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r"""
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Initializes movie saver class - a human friendly ffmpeg wrapper.
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After you init the class, you can dump numpy arrays x into moviesaver.write_frame(x).
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Don't forget toi finalize movie file with moviesaver.finalize().
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Args:
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fp_out: str
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Output file name. If it already exists, it will be deleted.
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fps: int
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Frames per second.
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shape_hw: List[int, int]
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Output shape, optional argument. Can be initialized automatically when first frame is written.
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crf: int
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ffmpeg doc: the range of the CRF scale is 0–51, where 0 is lossless
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(for 8 bit only, for 10 bit use -qp 0), 23 is the default, and 51 is worst quality possible.
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A lower value generally leads to higher quality, and a subjectively sane range is 17–28.
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Consider 17 or 18 to be visually lossless or nearly so;
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it should look the same or nearly the same as the input but it isn't technically lossless.
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The range is exponential, so increasing the CRF value +6 results in
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roughly half the bitrate / file size, while -6 leads to roughly twice the bitrate.
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codec: int
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Number of diffusion steps. Larger values will take more compute time.
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preset: str
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Choose between ultrafast, superfast, veryfast, faster, fast, medium, slow, slower, veryslow.
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ffmpeg doc: A preset is a collection of options that will provide a certain encoding speed
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to compression ratio. A slower preset will provide better compression
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(compression is quality per filesize).
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This means that, for example, if you target a certain file size or constant bit rate,
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you will achieve better quality with a slower preset. Similarly, for constant quality encoding,
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you will simply save bitrate by choosing a slower preset.
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pix_fmt: str
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Pixel format. Run 'ffmpeg -pix_fmts' in your shell to see all options.
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silent_ffmpeg: bool
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Surpress the output from ffmpeg.
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"""
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if len(os.path.split(fp_out)[0]) > 0:
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assert os.path.isdir(os.path.split(fp_out)[0]), "Directory does not exist!"
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self.fp_out = fp_out
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self.fps = fps
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self.crf = crf
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self.pix_fmt = pix_fmt
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self.codec = codec
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self.preset = preset
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self.silent_ffmpeg = silent_ffmpeg
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if os.path.isfile(fp_out):
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os.remove(fp_out)
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self.init_done = False
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self.nmb_frames = 0
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if shape_hw is None:
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self.shape_hw = [-1, 1]
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else:
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if len(shape_hw) == 2:
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shape_hw.append(3)
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self.shape_hw = shape_hw
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self.initialize()
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print(f"MovieSaver initialized. fps={fps} crf={crf} pix_fmt={pix_fmt} codec={codec} preset={preset}")
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def initialize(self):
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args = (
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ffmpeg
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.input('pipe:', format='rawvideo', pix_fmt='rgb24', s='{}x{}'.format(self.shape_hw[1], self.shape_hw[0]), framerate=self.fps)
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.output(self.fp_out, crf=self.crf, pix_fmt=self.pix_fmt, c=self.codec, preset=self.preset)
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.overwrite_output()
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.compile()
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)
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if self.silent_ffmpeg:
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self.ffmpg_process = subprocess.Popen(args, stdin=subprocess.PIPE, stderr=subprocess.DEVNULL, stdout=subprocess.DEVNULL)
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else:
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self.ffmpg_process = subprocess.Popen(args, stdin=subprocess.PIPE)
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self.init_done = True
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self.shape_hw = tuple(self.shape_hw)
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print(f"Initialization done. Movie shape: {self.shape_hw}")
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def write_frame(self, out_frame: np.ndarray):
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r"""
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Function to dump a numpy array as frame of a movie.
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Args:
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out_frame: np.ndarray
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Numpy array, in np.uint8 format. Convert with np.astype(x, np.uint8).
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Dim 0: y
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Dim 1: x
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Dim 2: RGB
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"""
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assert out_frame.dtype == np.uint8, "Convert to np.uint8 before"
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assert len(out_frame.shape) == 3, "out_frame needs to be three dimensional, Y X C"
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assert out_frame.shape[2] == 3, f"need three color channels, but you provided {out_frame.shape[2]}."
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if not self.init_done:
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self.shape_hw = out_frame.shape
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self.initialize()
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assert self.shape_hw == out_frame.shape, f"You cannot change the image size after init. Initialized with {self.shape_hw}, out_frame {out_frame.shape}"
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# write frame
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self.ffmpg_process.stdin.write(
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out_frame
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.astype(np.uint8)
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.tobytes()
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)
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self.nmb_frames += 1
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def finalize(self):
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r"""
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Call this function to finalize the movie. If you forget to call it your movie will be garbage.
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"""
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self.ffmpg_process.stdin.close()
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self.ffmpg_process.wait()
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duration = int(self.nmb_frames / self.fps)
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print(f"Movie saved, {duration}s playtime, watch here: \n{self.fp_out}")
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def concatenate_movies(fp_final: str, list_fp_movies: List[str]):
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r"""
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Concatenate multiple movie segments into one long movie, using ffmpeg.
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Parameters
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----------
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fp_final : str
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Full path of the final movie file. Should end with .mp4
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list_fp_movies : list[str]
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List of full paths of movie segments.
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"""
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assert fp_final.endswith(".mp4"), "fp_final should end with .mp4"
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for fp in list_fp_movies:
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assert os.path.isfile(fp), f"Input movie does not exist: {fp}"
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assert os.path.getsize(fp) > 100, f"Input movie seems empty: {fp}"
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if os.path.isfile(fp_final):
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os.remove(fp_final)
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# make a list for ffmpeg
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list_concat = []
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for fp_part in list_fp_movies:
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list_concat.append(f"""file '{fp_part}'""")
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# save this list
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fp_list = fp_final[:-3] + "txt"
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with open(fp_list, "w") as fa:
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for item in list_concat:
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fa.write("%s\n" % item)
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dp_movie = os.path.split(fp_final)[0]
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cmd = f'ffmpeg -f concat -safe 0 -i {fp_list} -c copy {fp_final}'
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subprocess.call(cmd, shell=True, cwd=dp_movie)
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os.remove(fp_list)
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print(f"concatenate_movies: success! Watch here: {fp_final}")
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class MovieReader():
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r"""
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Class to read in a movie.
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"""
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def __init__(self, fp_movie):
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self.video_player_object = cv2.VideoCapture(fp_movie)
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self.nmb_frames = int(self.video_player_object.get(cv2.CAP_PROP_FRAME_COUNT))
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self.fps_movie = int(self.video_player_object.get(cv2.CAP_PROP_FPS))
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self.shape = [100,100,3]
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self.shape_is_set = False
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def get_next_frame(self):
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success, image = self.video_player_object.read()
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if success:
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if not self.shape_is_set:
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self.shape_is_set = True
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self.shape = image.shape
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return image
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else:
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return np.zeros(self.shape)
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#%%
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if __name__ == "__main__":
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fps=2
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list_fp_movies = []
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for k in range(4):
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fp_movie = f"/tmp/my_random_movie_{k}.mp4"
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list_fp_movies.append(fp_movie)
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ms = MovieSaver(fp_movie, fps=fps)
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for fn in tqdm(range(30)):
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img = (np.random.rand(512, 1024, 3)*255).astype(np.uint8)
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ms.write_frame(img)
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ms.finalize()
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fp_final = "/tmp/my_concatenated_movie.mp4"
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concatenate_movies(fp_final, list_fp_movies)
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