405 lines
20 KiB
Python
405 lines
20 KiB
Python
import os
|
|
import cv2
|
|
import shutil
|
|
import math
|
|
import requests
|
|
import subprocess
|
|
import time
|
|
import re
|
|
import glob
|
|
import concurrent.futures
|
|
from pkg_resources import resource_filename
|
|
from modules.shared import state, opts
|
|
from .general_utils import checksum, duplicate_pngs_from_folder, clean_gradio_path_strings
|
|
from basicsr.utils.download_util import load_file_from_url
|
|
from .rich import console
|
|
from pathlib import Path
|
|
|
|
# DEBUG_MODE = opts.data.get("deforum_debug_mode_enabled", False)
|
|
|
|
def convert_image(input_path, output_path):
|
|
# Read the input image
|
|
img = cv2.imread(input_path)
|
|
# Get the file extension of the output path
|
|
out_ext = os.path.splitext(output_path)[1].lower()
|
|
# Convert the image to the specified output format
|
|
if out_ext == ".png":
|
|
cv2.imwrite(output_path, img, [cv2.IMWRITE_PNG_COMPRESSION, 9])
|
|
elif out_ext == ".jpg" or out_ext == ".jpeg":
|
|
cv2.imwrite(output_path, img, [cv2.IMWRITE_JPEG_QUALITY, 99])
|
|
elif out_ext == ".bmp":
|
|
cv2.imwrite(output_path, img)
|
|
else:
|
|
print(f"Unsupported output format: {out_ext}")
|
|
|
|
def get_ffmpeg_params(): # get ffmpeg params from webui's settings -> deforum tab. actual opts are set in deforum.py
|
|
f_location = opts.data.get("deforum_ffmpeg_location", find_ffmpeg_binary())
|
|
f_crf = opts.data.get("deforum_ffmpeg_crf", 17)
|
|
f_preset = opts.data.get("deforum_ffmpeg_preset", 'slow')
|
|
|
|
return [f_location, f_crf, f_preset]
|
|
|
|
# e.g gets 'x2' returns just 2 as int
|
|
def extract_number(string):
|
|
return int(string[1:]) if len(string) > 1 and string[1:].isdigit() else -1
|
|
|
|
def save_frame(image, file_path):
|
|
cv2.imwrite(file_path, image)
|
|
|
|
def vid2frames(video_path, video_in_frame_path, n=1, overwrite=True, extract_from_frame=0, extract_to_frame=-1, out_img_format='jpg', numeric_files_output = False):
|
|
start_time = time.time()
|
|
if (extract_to_frame <= extract_from_frame) and extract_to_frame != -1:
|
|
raise RuntimeError('Error: extract_to_frame can not be higher than extract_from_frame')
|
|
|
|
if n < 1: n = 1 #HACK Gradio interface does not currently allow min/max in gr.Number(...)
|
|
|
|
video_path = clean_gradio_path_strings(video_path)
|
|
# check vid path using a function and only enter if we get True
|
|
if is_vid_path_valid(video_path):
|
|
|
|
name = get_frame_name(video_path)
|
|
|
|
vidcap = cv2.VideoCapture(video_path)
|
|
video_fps = vidcap.get(cv2.CAP_PROP_FPS)
|
|
|
|
input_content = []
|
|
if os.path.exists(video_in_frame_path) :
|
|
input_content = os.listdir(video_in_frame_path)
|
|
|
|
# check if existing frame is the same video, if not we need to erase it and repopulate
|
|
if len(input_content) > 0 and numeric_files_output is False:
|
|
#get the name of the existing frame
|
|
content_name = get_frame_name(input_content[0])
|
|
if not content_name.startswith(name):
|
|
overwrite = True
|
|
|
|
# grab the frame count to check against existing directory len
|
|
frame_count = int(vidcap.get(cv2.CAP_PROP_FRAME_COUNT))
|
|
|
|
# raise error if the user wants to skip more frames than exist
|
|
if n >= frame_count :
|
|
raise RuntimeError('Skipping more frames than input video contains. extract_nth_frames larger than input frames')
|
|
|
|
expected_frame_count = math.ceil(frame_count / n)
|
|
# Check to see if the frame count is matches the number of files in path
|
|
if overwrite or expected_frame_count != len(input_content):
|
|
shutil.rmtree(video_in_frame_path)
|
|
os.makedirs(video_in_frame_path, exist_ok=True) # just deleted the folder so we need to make it again
|
|
input_content = os.listdir(video_in_frame_path)
|
|
|
|
print(f"Trying to extract frames from video with input FPS of {video_fps}. Please wait patiently.")
|
|
if len(input_content) == 0:
|
|
vidcap.set(cv2.CAP_PROP_POS_FRAMES, extract_from_frame) # Set the starting frame
|
|
success,image = vidcap.read()
|
|
count = extract_from_frame
|
|
t=0
|
|
success = True
|
|
max_workers = int(max(1, (os.cpu_count() / 2) - 1)) # set max threads to cpu cores halved, minus 1. minimum is 1
|
|
with concurrent.futures.ThreadPoolExecutor(max_workers=max_workers) as executor:
|
|
while success:
|
|
if state.interrupted:
|
|
return
|
|
if (count <= extract_to_frame or extract_to_frame == -1) and count % n == 0:
|
|
if numeric_files_output == True:
|
|
file_name = f"{t:09}.{out_img_format}"
|
|
else:
|
|
file_name = f"{name}{t:09}.{out_img_format}"
|
|
file_path = os.path.join(video_in_frame_path, file_name)
|
|
executor.submit(save_frame, image, file_path)
|
|
t += 1
|
|
count += 1
|
|
success, image = vidcap.read()
|
|
print(f"Extracted {count} frames from video in {time.time() - start_time:.2f} seconds!")
|
|
else:
|
|
print("Frames already unpacked")
|
|
vidcap.release()
|
|
return video_fps
|
|
|
|
# make sure the video_path provided is an existing local file or a web URL with a supported file extension
|
|
def is_vid_path_valid(video_path):
|
|
# make sure file format is supported!
|
|
file_formats = ["mov", "mpeg", "mp4", "m4v", "avi", "mpg", "webm"]
|
|
extension = video_path.rsplit('.', 1)[-1].lower()
|
|
# vid path is actually a URL, check it
|
|
if video_path.startswith('http://') or video_path.startswith('https://'):
|
|
response = requests.head(video_path, allow_redirects=True)
|
|
if response.status_code == 404:
|
|
raise ConnectionError("Video URL is not valid. Response status code: {}".format(response.status_code))
|
|
elif response.status_code == 302:
|
|
response = requests.head(response.headers['location'], allow_redirects=True)
|
|
if response.status_code != 200:
|
|
raise ConnectionError("Video URL is not valid. Response status code: {}".format(response.status_code))
|
|
if extension not in file_formats:
|
|
raise ValueError("Video file format '{}' not supported. Supported formats are: {}".format(extension, file_formats))
|
|
else:
|
|
if not os.path.exists(video_path):
|
|
raise RuntimeError("Video path does not exist.")
|
|
if extension not in file_formats:
|
|
raise ValueError("Video file format '{}' not supported. Supported formats are: {}".format(extension, file_formats))
|
|
return True
|
|
|
|
# quick-retreive frame count, FPS and H/W dimensions of a video (local or URL-based)
|
|
def get_quick_vid_info(vid_path):
|
|
vidcap = cv2.VideoCapture(vid_path)
|
|
video_fps = vidcap.get(cv2.CAP_PROP_FPS)
|
|
video_frame_count = int(vidcap.get(cv2.CAP_PROP_FRAME_COUNT))
|
|
video_width = int(vidcap.get(cv2.CAP_PROP_FRAME_WIDTH))
|
|
video_height = int(vidcap.get(cv2.CAP_PROP_FRAME_HEIGHT))
|
|
vidcap.release()
|
|
if video_fps.is_integer():
|
|
video_fps = int(video_fps)
|
|
|
|
return video_fps, video_frame_count, (video_width, video_height)
|
|
|
|
# Stitch images to a h264 mp4 video using ffmpeg
|
|
def ffmpeg_stitch_video(ffmpeg_location=None, fps=None, outmp4_path=None, stitch_from_frame=0, stitch_to_frame=None, imgs_path=None, add_soundtrack=None, audio_path=None, crf=17, preset='veryslow', srt_path=None):
|
|
start_time = time.time()
|
|
|
|
print(f"Got a request to stitch frames to video using FFmpeg.\nFrames:\n{imgs_path}\nTo Video:\n{outmp4_path}")
|
|
msg_to_print = f"Stitching *video*..."
|
|
console.print(msg_to_print, style="blink yellow", end="")
|
|
if stitch_to_frame == -1:
|
|
stitch_to_frame = 999999999
|
|
try:
|
|
cmd = [
|
|
ffmpeg_location,
|
|
'-y',
|
|
'-r', str(float(fps)),
|
|
'-start_number', str(stitch_from_frame),
|
|
'-i', imgs_path,
|
|
'-frames:v', str(stitch_to_frame),
|
|
'-c:v', 'libx264',
|
|
'-vf',
|
|
f'fps={float(fps)}',
|
|
'-pix_fmt', 'yuv420p',
|
|
'-crf', str(crf),
|
|
'-preset', preset,
|
|
'-pattern_type', 'sequence'
|
|
]
|
|
cmd.append('-vcodec')
|
|
cmd.append('png' if imgs_path[0].find('.png') != -1 else 'libx264')
|
|
cmd.append(outmp4_path)
|
|
|
|
process = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, universal_newlines=True)
|
|
stdout, stderr = process.communicate()
|
|
except FileNotFoundError:
|
|
print("\r" + " " * len(msg_to_print), end="", flush=True)
|
|
print(f"\r{msg_to_print}", flush=True)
|
|
raise FileNotFoundError("FFmpeg not found. Please make sure you have a working ffmpeg path under 'ffmpeg_location' parameter.")
|
|
except Exception as e:
|
|
print("\r" + " " * len(msg_to_print), end="", flush=True)
|
|
print(f"\r{msg_to_print}", flush=True)
|
|
raise Exception(f'Error stitching frames to video. Actual runtime error:{e}')
|
|
|
|
add_soundtrack_status = None
|
|
add_soundtrack_success = None
|
|
if add_soundtrack != 'None':
|
|
try:
|
|
audio_path = clean_gradio_path_strings(audio_path)
|
|
audio_add_start_time = time.time()
|
|
cmd = [
|
|
ffmpeg_location,
|
|
'-i',
|
|
outmp4_path,
|
|
'-i',
|
|
audio_path,
|
|
'-map', '0:v',
|
|
'-map', '1:a',
|
|
'-c:v', 'copy',
|
|
'-shortest',
|
|
outmp4_path+'.temp.mp4'
|
|
]
|
|
process = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, universal_newlines=True)
|
|
stdout, stderr = process.communicate()
|
|
if process.returncode != 0:
|
|
raise RuntimeError(stderr)
|
|
os.replace(outmp4_path+'.temp.mp4', outmp4_path)
|
|
add_soundtrack_status = f"\rFFmpeg audio embedding \033[0;32mdone\033[0m in {time.time() - audio_add_start_time:.2f} seconds!"
|
|
add_soundtrack_success = True
|
|
except Exception as e:
|
|
add_soundtrack_status = f"\rError adding audio to video: {e}"
|
|
add_soundtrack_success = False
|
|
|
|
add_srt = opts.data.get("deforum_save_gen_info_as_srt", False) and opts.data.get("deforum_embed_srt", False) and srt_path is not None
|
|
add_srt_status = None
|
|
add_srt_success = None
|
|
if add_srt:
|
|
try:
|
|
srt_add_start_time = time.time()
|
|
cmd = [
|
|
ffmpeg_location,
|
|
'-i', outmp4_path,
|
|
'-i', srt_path,
|
|
'-c', 'copy',
|
|
'-c:s', 'mov_text',
|
|
'-metadata:s:s:0', 'title=Deforum Data',
|
|
outmp4_path+'.temp.mp4'
|
|
]
|
|
process = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, universal_newlines=True)
|
|
stdout, stderr = process.communicate()
|
|
if process.returncode != 0:
|
|
raise RuntimeError(stderr)
|
|
os.replace(outmp4_path+'.temp.mp4', outmp4_path)
|
|
add_srt_status = f"\rFFmpeg subtitle embedding \033[0;32mdone\033[0m in {time.time() - srt_add_start_time:.2f} seconds!"
|
|
add_srt_success = True
|
|
except Exception as e:
|
|
add_srt_status = f"\rError adding subtitles to video: {e}"
|
|
add_srt_success = False
|
|
|
|
print("\r" + " " * len(msg_to_print), end="", flush=True)
|
|
print(f"\r{msg_to_print}", flush=True)
|
|
|
|
status_summary = f"\rVideo stitching \033[0;32mdone\033[0m in {time.time() - start_time:.2f} seconds!"
|
|
if add_soundtrack_status:
|
|
print(add_soundtrack_status, flush=True)
|
|
status_summary += " Audio embedded successfully." if add_soundtrack_success else " Sorry, no audio - see above for errors."
|
|
if add_srt_status:
|
|
print(add_srt_status, flush=True)
|
|
status_summary += " Subtitles embedded successfully." if add_srt_success else " Sorry, no subtitles - see above for errors."
|
|
|
|
print(status_summary, flush=True)
|
|
|
|
def get_frame_name(path):
|
|
name = os.path.basename(path)
|
|
name = os.path.splitext(name)[0]
|
|
return name
|
|
|
|
def get_next_frame(outdir, video_path, frame_idx, mask=False):
|
|
frame_path = 'inputframes'
|
|
if (mask): frame_path = 'maskframes'
|
|
return os.path.join(outdir, frame_path, get_frame_name(video_path) + f"{frame_idx:09}.jpg")
|
|
|
|
def find_ffmpeg_binary():
|
|
try:
|
|
import google.colab
|
|
return 'ffmpeg'
|
|
except:
|
|
pass
|
|
for package in ['imageio_ffmpeg', 'imageio-ffmpeg']:
|
|
try:
|
|
package_path = resource_filename(package, 'binaries')
|
|
files = [os.path.join(package_path, f) for f in os.listdir(package_path) if f.startswith("ffmpeg-")]
|
|
files.sort(key=lambda x: os.path.getmtime(x), reverse=True)
|
|
return files[0] if files else 'ffmpeg'
|
|
except:
|
|
return 'ffmpeg'
|
|
|
|
# These 2 functions belong to "stitch frames to video" in Output tab
|
|
def get_manual_frame_to_vid_output_path(input_path):
|
|
dir_name = os.path.dirname(input_path)
|
|
folder_name = os.path.basename(dir_name)
|
|
output_path = os.path.join(dir_name, f"{folder_name}.mp4")
|
|
i = 1
|
|
while os.path.exists(output_path):
|
|
output_path = os.path.join(dir_name, f"{folder_name}_{i}.mp4")
|
|
i += 1
|
|
return output_path
|
|
|
|
def direct_stitch_vid_from_frames(image_path, fps, add_soundtrack, audio_path):
|
|
f_location, f_crf, f_preset = get_ffmpeg_params()
|
|
matching_files = glob.glob(re.sub(r'%\d*d', '*', image_path))
|
|
min_id = None
|
|
for file in matching_files:
|
|
try:
|
|
id = int(re.search(r'(\d+)(?=\.\w+$)', file).group(1))
|
|
min_id = min(min_id, id) if min_id is not None else id
|
|
except (AttributeError, ValueError):
|
|
pass
|
|
if min_id is None or not all(os.path.isfile(image_path % (min_id + i)) for i in range(2)):
|
|
print("Couldn't find images that match the provided path/ pattern. At least 2 matched images are required.")
|
|
return
|
|
out_mp4_path = get_manual_frame_to_vid_output_path(image_path)
|
|
ffmpeg_stitch_video(ffmpeg_location=f_location, fps=fps, outmp4_path=out_mp4_path, stitch_from_frame=min_id, stitch_to_frame=-1, imgs_path=image_path, add_soundtrack=add_soundtrack, audio_path=audio_path, crf=f_crf, preset=f_preset)
|
|
# end of 2 stitch frame to video funcs
|
|
|
|
# returns True if filename (could be also media URL) contains an audio stream, othehrwise False
|
|
def media_file_has_audio(filename, ffmpeg_location):
|
|
result = subprocess.run([ffmpeg_location, "-i", filename, "-af", "volumedetect", "-f", "null", "-"], stdout=subprocess.DEVNULL, stderr=subprocess.PIPE)
|
|
output = result.stderr.decode()
|
|
return True if "Stream #0:1: Audio: " in output or "Stream #0:1(und): Audio" in output else False
|
|
|
|
# download gifski binaries if needed - linux and windows only atm (apple users won't even see the option)
|
|
def check_and_download_gifski(models_folder, current_user_os):
|
|
if current_user_os == 'Windows':
|
|
file_name = 'gifski.exe'
|
|
checksum_value = 'b0dd261ad021c31c7fdb99db761b45165e6b2a7e8e09c5d070a2b8064b575d7a4976c364d8508b28a6940343119b16a23e9f7d76f1f3d5ff02289d3068b469cf'
|
|
download_url = 'https://github.com/hithereai/d/releases/download/giski-windows-bin/gifski.exe'
|
|
elif current_user_os == 'Linux':
|
|
file_name = 'gifski'
|
|
checksum_value = 'e65bf9502bca520a7fd373397e41078d5c73db12ec3e9b47458c282d076c04fa697adecb5debb5d37fc9cbbee0673bb95e78d92c1cf813b4f5cc1cabe96880ff'
|
|
download_url = 'https://github.com/hithereai/d/releases/download/gifski-linux-bin/gifski'
|
|
elif current_user_os == 'Mac':
|
|
file_name = 'gifski'
|
|
checksum_value = '622a65d25609677169ed2c1c53fd9aa496a98b357cf84d0c3627ae99c85a565d61ca42cdc4d24ed6d60403bb79b6866ce24f3c4b6fff58c4d27632264a96353c'
|
|
download_url = 'https://github.com/hithereai/d/releases/download/gifski-mac-bin/gifski'
|
|
else: # who are you then?
|
|
raise Exception(f"No support for OS type: {current_user_os}")
|
|
|
|
file_path = os.path.join(models_folder, file_name)
|
|
|
|
if not os.path.exists(file_path):
|
|
load_file_from_url(download_url, models_folder)
|
|
if current_user_os in ['Linux','Mac']:
|
|
os.chmod(file_path, 0o755)
|
|
if current_user_os == 'Mac':
|
|
# enable running the exec for mac users
|
|
os.system(f'xattr -d com.apple.quarantine "{file_path}"')
|
|
if checksum(file_path) != checksum_value:
|
|
raise Exception(f"Error while downloading {file_name}. Please download from: {download_url} and place in: {models_folder}")
|
|
|
|
# create a gif using gifski - limited to up to 30 fps (from the ui; if users wanna try to hack it, results are not good, but possible up to 100 fps theoretically)
|
|
def make_gifski_gif(imgs_raw_path, imgs_batch_id, fps, models_folder, current_user_os):
|
|
msg_to_print = f"Stitching *gif* from frames using Gifski..."
|
|
# blink the msg in the cli until action is done
|
|
console.print(msg_to_print, style="blink yellow", end="")
|
|
start_time = time.time()
|
|
gifski_location = os.path.join(models_folder, 'gifski' + ('.exe' if current_user_os == 'Windows' else ''))
|
|
final_gif_path = os.path.join(imgs_raw_path, imgs_batch_id + '.gif')
|
|
if current_user_os == "Linux":
|
|
input_img_pattern = imgs_batch_id + '_0*.png'
|
|
input_img_files = [os.path.join(imgs_raw_path, file) for file in sorted(glob.glob(os.path.join(imgs_raw_path, input_img_pattern)))]
|
|
cmd = [gifski_location, '-o', final_gif_path] + input_img_files + ['--fps', str(fps), '--quality', str(95)]
|
|
elif current_user_os == "Windows":
|
|
input_img_pattern_for_gifski = os.path.join(imgs_raw_path, imgs_batch_id + '_0*.png')
|
|
cmd = [gifski_location, '-o', final_gif_path, input_img_pattern_for_gifski, '--fps', str(fps), '--quality', str(95)]
|
|
else: # should never this else as we check before, but just in case
|
|
print("\r" + " " * len(msg_to_print), end="", flush=True)
|
|
print(f"\r{msg_to_print}", flush=True)
|
|
raise Exception(f"No support for OS type: {current_user_os}")
|
|
|
|
check_and_download_gifski(models_folder, current_user_os)
|
|
|
|
try:
|
|
process = subprocess.run(cmd, capture_output=True, check=True, text=True, cwd=(models_folder if current_user_os == 'Mac' else None))
|
|
print("\r" + " " * len(msg_to_print), end="", flush=True)
|
|
print(f"\r{msg_to_print}", flush=True)
|
|
print(f"GIF stitching \033[0;32mdone\033[0m in {time.time() - start_time:.2f} seconds!")
|
|
except Exception as e:
|
|
print("\r" + " " * len(msg_to_print), end="", flush=True)
|
|
print(f"\r{msg_to_print}", flush=True)
|
|
print(f"GIF stitching *failed* with error:\n{e}")
|
|
|
|
def handle_imgs_deletion(vid_path=None, imgs_folder_path=None, batch_id=None):
|
|
try:
|
|
total_imgs_to_delete = count_matching_frames(imgs_folder_path, batch_id)
|
|
if total_imgs_to_delete is None or total_imgs_to_delete == 0:
|
|
return
|
|
print("Deleting raw images, as requested:")
|
|
_, fcount, _ = get_quick_vid_info(vid_path)
|
|
if fcount == total_imgs_to_delete:
|
|
total_imgs_deleted = delete_matching_frames(imgs_folder_path, batch_id)
|
|
print(f"Deleted {total_imgs_deleted} out of {total_imgs_to_delete} imgs!")
|
|
else:
|
|
print("Did not delete imgs as there was a mismatch between # of frames in folder, and # of frames in actual video. Please check and delete manually. ")
|
|
except Exception as e:
|
|
print(f"Error deleting raw images. Please delete them manually if you want. Actual error:\n{e}")
|
|
|
|
def delete_matching_frames(from_folder, img_batch_id):
|
|
return sum(1 for f in os.listdir(from_folder) if get_matching_frame(f, img_batch_id) and os.remove(os.path.join(from_folder, f)) is None)
|
|
|
|
def count_matching_frames(from_folder, img_batch_id):
|
|
return sum(1 for f in os.listdir(from_folder) if get_matching_frame(f, img_batch_id))
|
|
|
|
def get_matching_frame(f, img_batch_id=None):
|
|
return ('png' in f or 'jpg' in f) and '-' not in f and '_depth_' not in f and ((img_batch_id is not None and f.startswith(img_batch_id) or img_batch_id is None))
|