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Merge pull request #14 from lunarring/lunar_tools 

Lunar tools
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Johannes Stelzer 2024-02-06 12:45:54 +00:00 committed by GitHub
parent 5ea7981a9c 37fc1cf05f
commit 50a7084627
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5 changed files with 11 additions and 346 deletions
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41
examples/multi_trans.py
View File

@ -31,47 +31,12 @@ nmb_prompts = 20
list_prompts = []
list_prompts.append("high resolution ultra 8K image with lake and forest")
# list_prompts.append("strange and alien desolate lanscapes 8K")
# list_prompts.append("ultra high res psychedelic skyscraper city landscape 8K unreal engine")
list_prompts = list_prompts*10
be.set_prompt1(list_prompts[0])
be.compute_latents1(True)
#img = pipe(list_prompts[0]).images[0]
#%%
# import os
# import random
# # Directory containing the text files
# dir_prompts = "/raid/data/diffusion/flamengalo/prompts_surreal"
# # List to store the contents of selected text files
# list_prompts = []
# # List all files in the directory
# file_list = os.listdir(dir_prompts)
# # Shuffle the file list to get random files
# random.shuffle(file_list)
# # Loop through the first nmb_prompts files and read their contents
# for filename in file_list[:nmb_prompts]:
# file_path = os.path.join(dir_prompts, filename)
# try:
# with open(file_path, 'r') as file:
# content = file.read()
# list_prompts.append(content)
# except Exception as e:
# print(f"except {e}")
list_prompts.append("strange and alien desolate lanscapes 8K")
list_prompts.append("ultra high res psychedelic skyscraper city landscape 8K unreal engine")
#%%
fp_movie = f'surreal_nmb{len(list_prompts)}.mp4'
# Specify the seeds
list_seeds = np.random.randint(0, 1111111111111, len(list_prompts))
list_seeds = np.random.randint(0, np.iinfo(np.int32).max, len(list_prompts))
list_movie_parts = []
for i in range(len(list_prompts) - 1):

3
latentblending/blending_engine.py
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@ -11,6 +11,7 @@ import lpips
import platform
from latentblending.diffusers_holder import DiffusersHolder
from latentblending.utils import interpolate_spherical, interpolate_linear, add_frames_linear_interp
from lunar_tools import MovieSaver, fill_up_frames_linear_interpolation
warnings.filterwarnings('ignore')
torch.backends.cudnn.benchmark = False
torch.set_grad_enabled(False)
@ -696,7 +697,7 @@ class BlendingEngine():
"""
# Let's get more cheap frames via linear interpolation (duration_transition*fps frames)
imgs_transition_ext = add_frames_linear_interp(self.tree_final_imgs, duration_transition, fps)
imgs_transition_ext = fill_up_frames_linear_interpolation(self.tree_final_imgs, duration_transition, fps)
# Save as MP4
if os.path.isfile(fp_movie):

301
latentblending/movie_util.py
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@ -1,301 +0,0 @@
# Copyright 2022 Lunar Ring. All rights reserved.
# Written by Johannes Stelzer, email stelzer@lunar-ring.ai twitter @j_stelzer
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import subprocess
import os
import numpy as np
from tqdm import tqdm
import cv2
from typing import List
import ffmpeg # pip install ffmpeg-python. if error with broken pipe: conda update ffmpeg
class MovieSaver():
def __init__(
self,
fp_out: str,
fps: int = 24,
shape_hw: List[int] = None,
crf: int = 21,
codec: str = 'libx264',
preset: str = 'fast',
pix_fmt: str = 'yuv420p',
silent_ffmpeg: bool = True):
r"""
Initializes movie saver class - a human friendly ffmpeg wrapper.
After you init the class, you can dump numpy arrays x into moviesaver.write_frame(x).
Don't forget toi finalize movie file with moviesaver.finalize().
Args:
fp_out: str
Output file name. If it already exists, it will be deleted.
fps: int
Frames per second.
shape_hw: List[int, int]
Output shape, optional argument. Can be initialized automatically when first frame is written.
crf: int
ffmpeg doc: the range of the CRF scale is 0–51, where 0 is lossless
(for 8 bit only, for 10 bit use -qp 0), 23 is the default, and 51 is worst quality possible.
A lower value generally leads to higher quality, and a subjectively sane range is 17–28.
Consider 17 or 18 to be visually lossless or nearly so;
it should look the same or nearly the same as the input but it isn't technically lossless.
The range is exponential, so increasing the CRF value +6 results in
roughly half the bitrate / file size, while -6 leads to roughly twice the bitrate.
codec: int
Number of diffusion steps. Larger values will take more compute time.
preset: str
Choose between ultrafast, superfast, veryfast, faster, fast, medium, slow, slower, veryslow.
ffmpeg doc: A preset is a collection of options that will provide a certain encoding speed
to compression ratio. A slower preset will provide better compression
(compression is quality per filesize).
This means that, for example, if you target a certain file size or constant bit rate,
you will achieve better quality with a slower preset. Similarly, for constant quality encoding,
you will simply save bitrate by choosing a slower preset.
pix_fmt: str
Pixel format. Run 'ffmpeg -pix_fmts' in your shell to see all options.
silent_ffmpeg: bool
Surpress the output from ffmpeg.
"""
if len(os.path.split(fp_out)[0]) > 0:
assert os.path.isdir(os.path.split(fp_out)[0]), "Directory does not exist!"
self.fp_out = fp_out
self.fps = fps
self.crf = crf
self.pix_fmt = pix_fmt
self.codec = codec
self.preset = preset
self.silent_ffmpeg = silent_ffmpeg
if os.path.isfile(fp_out):
os.remove(fp_out)
self.init_done = False
self.nmb_frames = 0
if shape_hw is None:
self.shape_hw = [-1, 1]
else:
if len(shape_hw) == 2:
shape_hw.append(3)
self.shape_hw = shape_hw
self.initialize()
print(f"MovieSaver initialized. fps={fps} crf={crf} pix_fmt={pix_fmt} codec={codec} preset={preset}")
def initialize(self):
args = (
ffmpeg
.input('pipe:', format='rawvideo', pix_fmt='rgb24', s='{}x{}'.format(self.shape_hw[1], self.shape_hw[0]), framerate=self.fps)
.output(self.fp_out, crf=self.crf, pix_fmt=self.pix_fmt, c=self.codec, preset=self.preset)
.overwrite_output()
.compile()
)
if self.silent_ffmpeg:
self.ffmpg_process = subprocess.Popen(args, stdin=subprocess.PIPE, stderr=subprocess.DEVNULL, stdout=subprocess.DEVNULL)
else:
self.ffmpg_process = subprocess.Popen(args, stdin=subprocess.PIPE)
self.init_done = True
self.shape_hw = tuple(self.shape_hw)
print(f"Initialization done. Movie shape: {self.shape_hw}")
def write_frame(self, out_frame: np.ndarray):
r"""
Function to dump a numpy array as frame of a movie.
Args:
out_frame: np.ndarray
Numpy array, in np.uint8 format. Convert with np.astype(x, np.uint8).
Dim 0: y
Dim 1: x
Dim 2: RGB
"""
assert out_frame.dtype == np.uint8, "Convert to np.uint8 before"
assert len(out_frame.shape) == 3, "out_frame needs to be three dimensional, Y X C"
assert out_frame.shape[2] == 3, f"need three color channels, but you provided {out_frame.shape[2]}."
if not self.init_done:
self.shape_hw = out_frame.shape
self.initialize()
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}"
# write frame
self.ffmpg_process.stdin.write(
out_frame
.astype(np.uint8)
.tobytes()
)
self.nmb_frames += 1
def finalize(self):
r"""
Call this function to finalize the movie. If you forget to call it your movie will be garbage.
"""
if self.nmb_frames == 0:
print("You did not write any frames yet! nmb_frames = 0. Cannot save.")
return
self.ffmpg_process.stdin.close()
self.ffmpg_process.wait()
duration = int(self.nmb_frames / self.fps)
print(f"Movie saved, {duration}s playtime, watch here: \n{self.fp_out}")
def concatenate_movies(fp_final: str, list_fp_movies: List[str]):
r"""
Concatenate multiple movie segments into one long movie, using ffmpeg.
Parameters
----------
fp_final : str
Full path of the final movie file. Should end with .mp4
list_fp_movies : list[str]
List of full paths of movie segments.
"""
assert fp_final[-4] == ".", "fp_final seems to miss file extension: {fp_final}"
for fp in list_fp_movies:
assert os.path.isfile(fp), f"Input movie does not exist: {fp}"
assert os.path.getsize(fp) > 100, f"Input movie seems empty: {fp}"
if os.path.isfile(fp_final):
os.remove(fp_final)
# make a list for ffmpeg
list_concat = []
for fp_part in list_fp_movies:
list_concat.append(f"""file '{fp_part}'""")
# save this list
fp_list = "tmp_move.txt"
with open(fp_list, "w") as fa:
for item in list_concat:
fa.write("%s\n" % item)
cmd = f'ffmpeg -f concat -safe 0 -i {fp_list} -c copy {fp_final}'
subprocess.call(cmd, shell=True)
os.remove(fp_list)
if os.path.isfile(fp_final):
print(f"concatenate_movies: success! Watch here: {fp_final}")
def add_sound(fp_final, fp_silentmovie, fp_sound):
cmd = f'ffmpeg -i {fp_silentmovie} -i {fp_sound} -c copy -map 0:v:0 -map 1:a:0 {fp_final}'
subprocess.call(cmd, shell=True)
if os.path.isfile(fp_final):
print(f"add_sound: success! Watch here: {fp_final}")
def add_subtitles_to_video(
fp_input: str,
fp_output: str,
subtitles: list,
fontsize: int = 50,
font_name: str = "Arial",
color: str = 'yellow'
):
from moviepy.editor import VideoFileClip, TextClip, CompositeVideoClip
r"""
Function to add subtitles to a video.
Args:
fp_input (str): File path of the input video.
fp_output (str): File path of the output video with subtitles.
subtitles (list): List of dictionaries containing subtitle information
(start, duration, text). Example:
subtitles = [
{"start": 1, "duration": 3, "text": "hello test"},
{"start": 4, "duration": 2, "text": "this works"},
]
fontsize (int): Font size of the subtitles.
font_name (str): Font name of the subtitles.
color (str): Color of the subtitles.
"""
# Check if the input file exists
if not os.path.isfile(fp_input):
raise FileNotFoundError(f"Input file not found: {fp_input}")
# Check the subtitles format and sort them by the start time
time_points = []
for subtitle in subtitles:
if not isinstance(subtitle, dict):
raise ValueError("Each subtitle must be a dictionary containing 'start', 'duration' and 'text'.")
if not all(key in subtitle for key in ["start", "duration", "text"]):
raise ValueError("Each subtitle dictionary must contain 'start', 'duration' and 'text'.")
if subtitle['start'] < 0 or subtitle['duration'] <= 0:
raise ValueError("'start' should be non-negative and 'duration' should be positive.")
time_points.append((subtitle['start'], subtitle['start'] + subtitle['duration']))
# Check for overlaps
time_points.sort()
for i in range(1, len(time_points)):
if time_points[i][0] < time_points[i - 1][1]:
raise ValueError("Subtitle time intervals should not overlap.")
# Load the video clip
video = VideoFileClip(fp_input)
# Create a list to store subtitle clips
subtitle_clips = []
# Loop through the subtitle information and create TextClip for each
for subtitle in subtitles:
text_clip = TextClip(subtitle["text"], fontsize=fontsize, color=color, font=font_name)
text_clip = text_clip.set_position(('center', 'bottom')).set_start(subtitle["start"]).set_duration(subtitle["duration"])
subtitle_clips.append(text_clip)
# Overlay the subtitles on the video
video = CompositeVideoClip([video] + subtitle_clips)
# Write the final clip to a new file
video.write_videofile(fp_output)
class MovieReader():
r"""
Class to read in a movie.
"""
def __init__(self, fp_movie):
self.video_player_object = cv2.VideoCapture(fp_movie)
self.nmb_frames = int(self.video_player_object.get(cv2.CAP_PROP_FRAME_COUNT))
self.fps_movie = int(self.video_player_object.get(cv2.CAP_PROP_FPS))
self.shape = [100, 100, 3]
self.shape_is_set = False
def get_next_frame(self):
success, image = self.video_player_object.read()
if success:
if not self.shape_is_set:
self.shape_is_set = True
self.shape = image.shape
return image
else:
return np.zeros(self.shape)
if __name__ == "__main__":
fps = 2
list_fp_movies = []
for k in range(4):
fp_movie = f"/tmp/my_random_movie_{k}.mp4"
list_fp_movies.append(fp_movie)
ms = MovieSaver(fp_movie, fps=fps)
for fn in tqdm(range(30)):
img = (np.random.rand(512, 1024, 3) * 255).astype(np.uint8)
ms.write_frame(img)
ms.finalize()
fp_final = "/tmp/my_concatenated_movie.mp4"
concatenate_movies(fp_final, list_fp_movies)

2
requirements.txt
View File

@ -1,6 +1,6 @@
lpips==0.1.4
opencv-python
ffmpeg-python
diffusers==0.25.0
transformers
pytest
accelerate

10
setup.py
View File

@ -6,14 +6,14 @@ with open('requirements.txt') as f:
setup(
name='latentblending',
version='0.2',
version='0.3',
url='https://github.com/lunarring/latentblending',
description='Butter-smooth video transitions',
long_description=open('README.md').read(),
install_requires=required,
dependency_links=[
'git+https://github.com/lunarring/lunar_tools#egg=lunar_tools'
],
install_requires=[
'lunar_tools @ git+https://github.com/lunarring/lunar_tools.git#egg=lunar_tools'
] + required,
include_package_data=False,
)