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2026-03-12 14:12:39 +01:00 Verified
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import subprocess
import logging
import os
import json
import argparse
import inquirer
import shutil
import time
import tkinter.filedialog
import tkinter.font
import tkinter
from PIL import ImageTk, Image, ImageChops
from pymediainfo import MediaInfo
from alive_progress import alive_bar
parser = argparse.ArgumentParser(prog="Dolby Vision + HDR", description="A program to combine HDR videos with Dolby Vison videos for a Dolby Vison file with HDR fallback", epilog="Report bugs to Swedish-Wiking@GitHub")
parser.add_argument("input", metavar="I", nargs="*", help="List of file/folders to use as input")
parser.add_argument("-logL", dest="logL", choices=["debug", "info", "error"], help="Set verbose level")
parser.add_argument("-maxdif", dest="maxdif", type=int, help="Set maxed allowed frames to differ between videos")
args = parser.parse_args()
logging.basicConfig(format="%(levelname)s:\t%(message)s", level=logging.INFO)
if args.logL == "debug": logging.basicConfig(level=logging.DEBUG)
elif args.logL == "info": logging.basicConfig(level=logging.INFO)
elif args.logL == "error": logging.basicConfig(level=logging.ERROR)
__location__ = os.path.realpath(os.path.join(os.getcwd(), os.path.dirname(__file__)))
_temp = os.path.join(__location__, "temp\\")
_bin = os.path.join(__location__, "bin\\")
mkvmerge = os.path.join(_bin, "mkvmerge.exe")
mkvextract = os.path.join(_bin, "mkvextract.exe")
dovi_Tool = os.path.join(_bin, "dovi_tool.exe")
def createTempDir():
os.makedirs(_temp, exist_ok=True)
logging.debug(f"Temp folder created at: {_temp}")
class image_compare():
def __init__(self, hdr, dv):
self.dv_file = dv
self.hdr_file = hdr
self.base_refrence = 1000
self.shifted_frames = 0
createTempDir()
self.active_image_lb = "D"
self.active_image = self.create_thumbnails()
icon_file = os.path.join(__location__,"icon.png")
#Initialization
self.window = tkinter.Tk()
icon = ImageTk.PhotoImage(file=str(icon_file))
tk_font = tkinter.font.Font(weight="bold")
#Window config
self.window.title("Frame Compare")
self.window.iconphoto(True, icon)
self.window.geometry("1200x800")
self.window.minsize(700,420)
self.window.configure(bg='black', padx=10, pady=10)
self.window.columnconfigure(0, weight=1)
self.window.columnconfigure(1, weight=1)
self.window.columnconfigure(2, weight=0)
#Buttons
show_image_btn = tkinter.Button(self.window, text="Open picture", command=self.show_image)
show_image_btn.grid(column=0, row=0, sticky=tkinter.W, padx=5, pady=5)
switch_btn = tkinter.Button(self.window, text="Switch view", command=self.switch)
switch_btn.grid(column=0, row=1, sticky=tkinter.W, padx=5, pady=5)
done_btn = tkinter.Button(self.window, text="Done", command=self.done)
done_btn.grid(column=2, row=1, sticky=tkinter.E, padx=5, pady=5)
#Entries
v_base, v_shift = tkinter.IntVar(), tkinter.IntVar()
vcmd = (self.window.register(self.validate_int),'%d', '%i', '%P', '%s', '%S', '%v', '%V', '%W')
base_lb = tkinter.Label(self.window, text=f"Base frame to refrence (total: {hdr["frameCount"]}):", bg="black", fg="white", font=tk_font)
base_lb.grid(column=0, row=0, sticky=tkinter.E, padx=5, pady=5)
shift_lb = tkinter.Label(self.window, text="Frames to shift DV Layer:", bg="black", fg="white", font=tk_font)
shift_lb.grid(column=0, row=1, sticky=tkinter.E, padx=5, pady=5)
self.base_entry = tkinter.Entry(self.window, validate = 'key', validatecommand = vcmd, text=v_base)
self.base_entry.bind('<Return>', self.shift_Base_Frame)
self.base_entry.grid(column=1, row=0, sticky=tkinter.W, padx=5, pady=5)
self.shift_entry = tkinter.Entry(self.window, validate = 'key', validatecommand = vcmd, text=v_shift)
self.shift_entry.bind('<Return>', self.shift_DV_Layer)
self.shift_entry.grid(column=1, row=1, sticky=tkinter.W, padx=5, pady=5)
v_base.set(self.base_refrence)
v_shift.set(0)
#Image Canvas
image = ImageTk.PhotoImage(self.active_image)
imageWidth = image.width()
imageHeight = image.height()
self.canvas = tkinter.Canvas(self.window, width=imageWidth, height=imageHeight, bg="black")
self.canvas.grid(column=0, row=3, columnspan=3, padx=5, pady=5)
self.image_id = self.canvas.create_image(0, 0, image=image, anchor='nw')
self.canvas.bind('<Configure>', self.resize_image)
#Open Window
self.window.lift()
self.window.attributes("-topmost",True)
self.window.after_idle(self.window.attributes,"-topmost",False)
self.window.mainloop()
def validate_int(self, action, index, value_if_allowed, prior_value, text, validation_type, trigger_type, widget_name):
if(action=='1'):
if text in '0123456789-+':
try:
int(value_if_allowed)
return True
except ValueError: return False
else: return False
else: return True
def create_thumbnails(self):
logging.debug("Generating images to compare...")
vf_HDR = "zscale=t=linear,tonemap=hable,zscale=p=709:t=709:m=709"
vf_DV = "libplacebo=tonemapping=auto,zscale=t=linear,tonemap=hable,zscale=p=709:t=709:m=709"
ss_hdr = str(self.base_refrence / self.hdr_file["frameRate"])
ss_dv = str((self.base_refrence - self.shifted_frames) / self.dv_file["frameRate"])
hdr_out = os.path.join(_temp, "HDR.bmp")
dv_out = os.path.join(_temp, "DV.bmp")
hdr_cmd = ["ffmpeg",
"-hide_banner",
"-v", "error",
"-y",
"-ss", ss_hdr,
"-i", self.hdr_file["path"],
"-qscale:v", "1",
"-vf", vf_HDR,
"-vframes", "1",
hdr_out
]
dv_cmd = ["ffmpeg",
"-hide_banner",
"-v", "error",
"-y",
"-ss", ss_dv,
"-i", self.dv_file["path"],
"-qscale:v", "1",
"-vf", vf_DV,
"-vframes", "1",
dv_out
]
logging.debug("Generating HDR image...")
try: subprocess.run(hdr_cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
except Exception as e: logging.error(f"Failed to generate HDR screencapture | ERROR:{e}")
logging.debug("Generating DV image...")
try: subprocess.run(dv_cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
except Exception as e: logging.error(f"Failed to generate DV screencapture | ERROR:{e}")
logging.debug("Processing Images...")
HDR_img = Image.open(hdr_out)
DV_img = Image.open(dv_out)
HDR_w, HDR_h = HDR_img.size
DV_w, DV_h = DV_img.size
crop = abs(HDR_h-DV_h)/2
if HDR_img.height < DV_img.height: DV_img = DV_img.crop((0, crop, DV_w, DV_h-crop))
elif HDR_img.height > DV_img.height: HDR_img = HDR_img.crop((0, crop, HDR_w, HDR_h-crop))
self.difference_img = Image.blend(DV_img, HDR_img, 0.5)
self.blend_img = ImageChops.difference(DV_img.convert('L'), HDR_img.convert('L'))
logging.debug("Processing done!")
if self.active_image_lb == "D": self.active_image = self.difference_img
elif self.active_image_lb == "B":self.active_image = self.blend_img
return self.difference_img
def shift_DV_Layer(self, event):
logging.debug(f"Dolby Vision Layer shifted {self.shift_entry.get()} frames")
self.shifted_frames = int(self.shift_entry.get())
self.base_refrence = int(self.base_entry.get())
self.create_thumbnails()
self.resize_image("")
def shift_Base_Frame(self, event):
logging.debug(f"Changed refrence frame to: {self.base_entry.get()}")
self.shifted_frames = int(self.shift_entry.get())
self.base_refrence = int(self.base_entry.get())
self.create_thumbnails()
self.resize_image("")
def resize_image(self, e):
global new_image, resized_image
win_width = self.window.winfo_width() - 40
win_height = self.window.winfo_height() - 110
resized_height = int((self.active_image.height/self.active_image.width)*win_width)
if resized_height > win_height:
resized_width = int((self.active_image.width/self.active_image.height)*win_height)
resized_image = self.active_image.resize((resized_width, win_height), Image.Resampling.LANCZOS)
self.canvas.config(width=resized_width, height=win_height)
else:
resized_image = self.active_image.resize((win_width, resized_height), Image.Resampling.LANCZOS)
self.canvas.config(width=win_width, height=resized_height)
new_image = ImageTk.PhotoImage(resized_image)
self.canvas.itemconfigure(self.image_id, image=new_image)
def show_image(self):
logging.info("Opening image in default photo viewer")
self.active_image.show()
def done(self):
self.window.quit()
self.window.destroy()
def switch(self):
if self.active_image_lb == "D":
logging.debug("Switching to Blended image")
self.active_image = self.blend_img
self.active_image_lb = "B"
self.resize_image("")
elif self.active_image_lb == "B":
logging.debug("Switching to Difference image")
self.active_image = self.difference_img
self.active_image_lb = "D"
self.resize_image("")
def file_list():
file_paths = list()
filetypes = (("Video files", ".mkv .mp4"), ("Matroska files", ".mkv"), ("MPEG-4 files", ".mp4"), ("All files", "*.*"))
if args.input == []:
file_ask = tkinter.Tk()
file_ask.withdraw()
icon = ImageTk.PhotoImage(file=str(os.path.join(__location__,"icon.png")))
file_ask.iconphoto(True, icon)
files = tkinter.filedialog.askopenfilenames(parent=file_ask, title="Select files", multiple=True, filetypes=filetypes)
file_ask.destroy()
else: files = args.input
for path in files:
if os.path.isfile(path): file_paths.append(path)
else:
for root, directories, files in os.walk(path):
for filename in files:
file_ext = os.path.splitext(filename)[1]
accepted_ext = {'.mkv', '.mp4'}
if file_ext in accepted_ext:
filepath = os.path.join(root, filename)
file_paths.append(filepath)
if len(file_paths) <= 1:
logging.error("No files chosen")
exit(code=1)
return file_paths
def check_for_ffmpeg():
try:
subprocess.check_call(["ffmpeg", "-version"], stdout=subprocess.PIPE, stderr=subprocess.PIPE)
except subprocess.CalledProcessError:
logging.error("FFmpeg installed but something whent wrong re-run script")
exit(code=1)
except OSError:
logging.error("FFmpeg not installed, please install and re-run script")
exit(code=1)
def is_integer(n):
try: float(n)
except ValueError: return False
else: return float(n).is_integer()
def parse_metadata(data, file):
json_data = json.loads(data)
logging.debug(json_data)
json_data = json_data["streams"][0]
width = int(json_data["width"])
height = int(json_data["height"])
fps = json_data["avg_frame_rate"].split("/")
fps = int(fps[0]) / int(fps[1])
try: framCount = int(json_data["tags"]["NUMBER_OF_FRAMES"])
except:
try: framCount = int(json_data["tags"]["NUMBER_OF_FRAMES-eng"])
except:
try: framCount = int(json_data["nb_frames"])
except:
logging.warning("Framerate was not found in ffprobe data, using MediaInfo")
logging.warning("Analysis may take longer")
media_info = MediaInfo.parse(file)
for track in media_info.tracks:
if track.track_type == "Video": framCount = int(track.frame_count)
try:
if json_data["side_data_list"][0]["rpu_present_flag"] == 1:
try:
if json_data["color_transfer"] == "smpte2084": colorProfile = "HDR+DV"
except: colorProfile = "DV"
except:
try:
if json_data["color_transfer"] == "smpte2084": colorProfile = "HDR"
except: colorProfile = "None"
return {"frameCount": framCount, "colorProfile": colorProfile, "pxWidth": width, "pxHeight": height, "frameRate": fps}
def analyze_files(files):
metadata_list = list()
for file in files:
name = os.path.basename(file)
logging.info(f"Analyzing {name}...")
probe_cmd = ["ffprobe",
"-hide_banner",
"-loglevel", "fatal",
"-show_error",
"-show_streams",
"-select_streams", "v:0",
"-show_private_data",
"-print_format", "json",
file]
try:
data = subprocess.run(probe_cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
if data.returncode != 0:
logging.warning(f"File could not be analyzed: {data.stderr}")
break
except:
logging.warning(f"File could not be analyzed: {data.stderr}")
break
parsed_data = parse_metadata(data.stdout.decode('utf-8'), file)
logging.info("Sucessfully analyzed file!")
metadata_list.append({"name": name, "path": file} | parsed_data)
cColorP = set()
for media in metadata_list: cColorP.add(media["colorProfile"])
if "HDR" in cColorP: logging.info("HDR Media:")
for media in metadata_list:
if media["colorProfile"] == "HDR":
logging.info(f"{media["name"]}:\n\tFrameCount: {media["frameCount"]}\n\tWidth: {media["pxWidth"]}\n\tHeight: {media["pxHeight"]}\n\tFrameRate: {media["frameRate"]}")
if "DV" in cColorP: logging.info("Dolby Vision Media:")
for media in metadata_list:
if media["colorProfile"] == "DV":
logging.info(f"{media["name"]}:\n\tFrameCount: {media["frameCount"]}\n\tWidth: {media["pxWidth"]}\n\tHeight: {media["pxHeight"]}\n\tFrameRate: {media["frameRate"]}")
if "HDR+DV" in cColorP: logging.info("HDR + DV Media:")
for media in metadata_list:
if media["colorProfile"] == "HDR+DV":
logging.info(f"{media["name"]}:\n\tFrameCount: {media["frameCount"]}\n\tWidth: {media["pxWidth"]}\n\tHeight: {media["pxHeight"]}\n\tFrameRate: {media["frameRate"]}")
return metadata_list, cColorP
def frame_seeker(hdr, dv):
logging.warning("Dolby Vision layer probably needs to be delayed")
isManual = inquirer.prompt([inquirer.Confirm("continue", message="Do you want to input pre-calculated frame-shift", default=False)])["continue"]
if isManual:
while True:
delayed_frames = input("Input frames to shift Dolby Vision layer with: ")
if(is_integer(delayed_frames) == False): logging.warning("Please input a valid number")
else: delayed_frames = int(delayed_frames); break
else:
comparer = image_compare(hdr, dv)
delayed_frames = comparer.shifted_frames
logging.info(f"Dolby Vision layer is shifted by {delayed_frames} frames")
return delayed_frames
def match_files(data_list):
matching_files = list()
HDRs = [(media) for media in data_list if media["colorProfile"] == "HDR"]
logging.debug(HDRs)
DVs = [(media) for media in data_list if media["colorProfile"] == "DV"] + [(media) for media in data_list if media["colorProfile"] == "HDR+DV"]
logging.debug(DVs)
if args.maxdif != None: maxDif = int(args.maxdif)
else:
while True:
maxDif = input(f"Input max allowed differance in frames: ")
if(is_integer(maxDif) == False): logging.warning("Please input a valid number")
else: maxDif = int(maxDif); break
logging.info("Matching files...")
for hdr_file in HDRs:
miss = 0
logging.info(f"Trying to match: {hdr_file["name"]}")
for dv_file in DVs:
absDif = abs(hdr_file["frameCount"] - dv_file["frameCount"])
if absDif == 0:
logging.info(f"Perfect match found with: {dv_file["name"]}")
isAutomatic = inquirer.prompt([inquirer.Confirm("auto", message="Want to frame match anyways?", default=False)])["auto"]
if isAutomatic: frames_to_delay = frame_seeker(hdr_file, dv_file)
else: frames_to_delay = 0
match = {"HDR_FILE": hdr_file, "DV_FILE": dv_file, "framesToDelay": frames_to_delay}
matching_files.append(match)
break
elif(absDif <= maxDif):
logging.info(f"Match found but with a difference of: {absDif} frames, file matched with: {dv_file["name"]}")
isMatch = inquirer.prompt([inquirer.Confirm("continue", message="Is it a match?", default=False)])["continue"]
if isMatch:
frames_to_delay = frame_seeker(hdr_file, dv_file)
match = {"HDR_FILE": hdr_file, "DV_FILE": dv_file, "framesToDelay": frames_to_delay}
matching_files.append(match)
else: logging.info("Trying another ")
else: miss += 1
if miss == len(DVs):
logging.warning(f"No match found for: {hdr_file["name"]}")
logging.info("Matching process completeded")
logging.debug(matching_files)
return matching_files
def run_cmd(cmd, title="", total=100):
try:
if cmd[0] == "ffmpeg" or cmd[0] == mkvextract or cmd[0] == mkvmerge:
with alive_bar(title=title, bar="filling", spinner="waves", manual=True, total=total, stats=False, monitor="{percent:,.1%}") as bar:
data = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True, text=True)
for line in data.stdout:
if "#GUI#progress" in line:
progress = int(line.replace("#GUI#progress ","").replace("%",""))/100
bar(progress)
elif "frame=" in line:
bar(int(line.replace("frame=",""))/total)
if cmd[0] == "ffmpeg": bar(1)
else:
with alive_bar(title=title, bar="filling", spinner="waves", manual=True, total=total, stats=False, monitor="{percent:,.1%}") as bar:
subprocess.run(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=False)
bar(1)
except subprocess.CalledProcessError:
logging.error("Command failed, The process of this file will FAIL!")
raise RuntimeError
except KeyboardInterrupt:
logging.error("Command interupted, The process of this file will FAIL!")
raise InterruptedError
def remux_files(main_file, DV_injected):
file_out = os.path.join(os.path.dirname(main_file), os.path.basename(main_file).replace(".mkv", "_HDR_DV.mkv"))
cmdMerge = [mkvmerge,
"--gui-mode",
"-o", file_out,
"--no-video",
main_file,
DV_injected]
run_cmd(cmdMerge, "Multiplexing hybrid file: \t")
logging.info("Files sucessfully combined")
def injectDoVi(file_pair):
createTempDir()
rpu_json = os.path.join(_temp,"RPU.json")
rpu = os.path.join(_temp,"RPU.bin")
rpu_edited = os.path.join(_temp,"RPU_EDITED.bin")
hdr_hevc = os.path.join(_temp,"HDR.hevc")
dv_hevc = os.path.join(_temp,"DV.hevc")
hdr_dv_hevc = os.path.join(_temp,"HDR_DV.hevc")
if str(os.path.splitext(file_pair["DV_FILE"]["path"])[1]) == ".mp4": isDVmp4 = True
else: isDVmp4 = False
delay_frames = file_pair["framesToDelay"]
if delay_frames < 0:
remove_frames = "0-" + str(abs(delay_frames)-1)
delay_frames = 0
else: remove_frames = ""
crop = False
crop_amount = 0
if (file_pair["HDR_FILE"]["pxHeight"] == file_pair["DV_FILE"]["pxHeight"]):
logging.debug("No crop needed for RPU-file")
elif (int(file_pair["HDR_FILE"]["pxHeight"]) > int(file_pair["DV_FILE"]["pxHeight"])):
logging.debug("Adding letterboxing to RPU-file to match with target file")
crop_amount = int((int(file_pair["HDR_FILE"]["pxHeight"]) - int(file_pair["DV_FILE"]["pxHeight"]))/2)
elif (int(file_pair["HDR_FILE"]["pxHeight"]) < int(file_pair["DV_FILE"]["pxHeight"])):
logging.debug("Croping needed for RPU-file")
crop = True
json_data = {
"active_area": {
"crop": crop,
"presets": [{
"id": 0,
"left": 0,
"right": 0,
"top": crop_amount,
"bottom": crop_amount
}]},
"remove": [
remove_frames
],
"duplicate": [{
"source": 0,
"offset": 0,
"length": delay_frames
}]}
with open(rpu_json, "w") as outfile: outfile.write(json.dumps(json_data, indent=4))
cmdExtractHDRMKV = [
mkvextract,
"tracks",
file_pair["HDR_FILE"]["path"],
"0:" + str(hdr_hevc),
"--gui-mode"] #1
cmdExtractDVMKV = [
mkvextract,
"tracks",
file_pair["DV_FILE"]["path"],
"0:" + str(dv_hevc),
"--gui-mode"] #2
cmdExtractDV = [
"ffmpeg",
"-loglevel", "error",
"-hide_banner",
"-progress", "-",
"-nostats",
"-analyzeduration", "6000M",
"-probesize", "2147M",
"-y",
"-i", file_pair["DV_FILE"]["path"],
"-an", "-c:v",
"copy",
"-f", "hevc",
dv_hevc] #2
cmdExtractRPU = [
dovi_Tool,
"-m", "3",
"extract-rpu",
dv_hevc,
"-o", rpu] #3
cmdRPUEdit = [
dovi_Tool,
"editor",
"-i", rpu,
"-j", rpu_json,
"-o", rpu_edited] #4
cmdRPUInject = [
dovi_Tool,
"inject-rpu",
"-i", hdr_hevc,
"--rpu-in", rpu_edited,
"-o", hdr_dv_hevc] #5
logging.info("Injection process begins...")
logging.info(f"Files used: \n\t{file_pair["HDR_FILE"]["path"]}\n\t{file_pair["DV_FILE"]["path"]}")
run_cmd(cmdExtractHDRMKV, title="Extracting HDR video:\t\t")
if isDVmp4: run_cmd(cmdExtractDV, title="Extracting DV video:\t\t", total=file_pair["DV_FILE"]["frameCount"])
else: run_cmd(cmdExtractDVMKV, title="Extracting DV video:\t\t")
run_cmd(cmdExtractRPU, title="Extracting RPU from DV file:\t")
run_cmd(cmdRPUEdit, "Modifying RPU-file:\t\t")
run_cmd(cmdRPUInject, "Injecting RPU into HDR file:\t")
remux_files(file_pair["HDR_FILE"]["path"], hdr_dv_hevc)
try: shutil.rmtree(_temp)
except: logging.warning("Could not delete temp folder")
def main():
check_for_ffmpeg()
files = file_list()
file_data_list, cColorP = analyze_files(files)
if ("DV" not in cColorP and "HDR+DV" not in cColorP) or not "HDR" in cColorP:
logging.error("Not enough files with HDR or DV layers")
exit(code=1)
matched_files = match_files(file_data_list)
for match in matched_files:
try: injectDoVi(match)
except RuntimeError: logging.error("Multiplexing of file FAILED")
except InterruptedError: logging.error("Multiplexing of file FAILED because of Human interuption")
else:
try: shutil.rmtree(_temp)
except: logging.warning("Could not delete temp folder")
if __name__ == "__main__": main()
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pushd %~dp0
python "DV_HDR_merge.py" %*
pause
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This is free and unencumbered software released into the public domain.
Anyone is free to copy, modify, publish, use, compile, sell, or
distribute this software, either in source code form or as a compiled
binary, for any purpose, commercial or non-commercial, and by any
means.
In jurisdictions that recognize copyright laws, the author or authors
of this software dedicate any and all copyright interest in the
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of the public at large and to the detriment of our heirs and
successors. We intend this dedication to be an overt act of
relinquishment in perpetuity of all present and future rights to this
software under copyright law.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
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For more information, please refer to <https://unlicense.org>
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# DV_HDR_Merge
A script to batch combine HDR media with Dolby Vison media for a hybrid file that uses Dolby Vision but with fallback to HDR.
The script has a bulit in frame compare tool that makes syncing the different files very easy.
The script matches the files by comparing frame count because Dolby Vision RPU-files are based on frames, not on time.
## Dependencies
**[FFmpeg](https://github.com/FFmpeg/FFmpeg)** needs to be installed to path<br>
**[requirements.txt](https://github.com/Swedish-Wiking/DV_HDR_Merge/blob/main/requirements.txt)** needs to be installed with pip
### Accompanying dependencies:
**[quietvoid/dovi_tool](https://github.com/quietvoid/dovi_tool)** Thanks for making this possible!<br>
**[mkvmerge](https://mkvtoolnix.download/doc/mkvmerge.html)**<br>
**[mkvextract](https://mkvtoolnix.download/doc/mkvextract.html)**<br>
## Usage
```properties
DV_HDR_Merge.py [Input files/folders]
```
Optional commands: `--help`, `-logL`, `-maxdif`
```console
DV_HDR_Merge.py -logL debug -maxdif 100 HDR_movie.mkv DV_movie.mp4 HDR_movie2.mkv DV_movie2.mkv ./DV_movie_folder ./HDR_movie_folder
```
**Valid input formats**: <br>
HDR media: `*.mkv`<br>
Dolby Vision media: `*.mkv`, `*.mp4`<br>
*Can be customized to use `*.mp4` as HDR input as well but Matroska is the superior container.*<br>
**Output format**: `*.mkv`
### Explanations
**Shift frames**:<br>
A negative amount means that frames will be removed in the beginning and a positive means that the first frame will be duplicated to add enough frame.
Any excess frame on the end will be cut off
**General**:<br>
If frame dimensions do not match the script will automagically correct for it.
### Example of code running
![Command Promt running script](/EXAMPLES/RUNNING.png)
## Frame Compare Tool
![Application window](/EXAMPLES/APPLICATION.png)
1. Opens the active image in your default photo application for easier inspection
2. Switches between a 50/50 blend of the two compared images or a greyscale difference
3. Set the frame to refrence in the HDR media file, press `Enter` to apply. (Total amount of frames in media is shown in label)
4. Set how may frames to shift Dolby Vision layer with, press `Enter` to apply.
5. Closes window and sends inputed frame-shift to be used when combining the two media.<br>
(Closing the window will do the same as the `Done` button)
Always compare multiple refrence frames in case of missing or extra frames in some of the materials used.
### Example images
Both senarios are using frame 30000 as the HDR refrence frame.
#### Unsynced images
<p float="left">
<img src="/EXAMPLES/UNSYNCED.PNG" width="49%" height="auto">
<img src="/EXAMPLES/UNSYNCED_DIF.PNG" width="49%" height="auto">
</p>
<i>No frame shift have been added and the result is blurry edges and sometimes even different scenes. The difference images shows a lot of anomalies when pixels don't cancel each other out.</i>
#### Synced images
<p float="left">
<img src="/EXAMPLES/SYNCED.PNG" width="49%" height="auto">
<img src="/EXAMPLES/SYNCED_DIF.PNG" width="49%" height="auto">
</p>
<i>When Dolby Vison layer is shifted with -3 frames no blurry edges can be seen on the blend iamge and on the difference image no anomalies can be found. (Sometimes you can get a faded silhouette as in this case because the luminance levels could not be correctly matched when trying to tonemap the thumbnails taken from the media)</i>
## Known bugs...
- When extracting, modifying and injecting the RPU file no live progress is shown because of a problem catching output from *dovi_tool*
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alive_progress==3.1.4
inquirer==3.1.3
Pillow==10.0.1
Pillow==10.1.0
pymediainfo==6.1.0