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توضیحات

A very simple tool for removing on-screen text from video, using a user-provided mask

ویژگی	مقدار
سیستم عامل	-
نام فایل	cleancredits-2.0.0
نام	cleancredits
نسخه کتابخانه	2.0.0
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	BeatriceEagle
ایمیل نویسنده	beatriceeagle@gmail.com
آدرس صفحه اصلی	https://github.com/BeatriceEagle/cleancredits
آدرس اینترنتی	https://pypi.org/project/cleancredits/
مجوز	GPL version 3

# cleancredits A very simple tool for removing on-screen text from video, using a user-provided mask. ## Dependencies cleancredits has the following system dependencies: - [ffmpeg](https://ffmpeg.org/) for video manipulation - [tkinter](https://docs.python.org/3/library/tkinter.html) for the GUI ## Installation 1. Mac OS: Install [homebrew](https://brew.sh/) and run `brew install python-tk` to install tkinter bindings. 2. Install [pipx](https://pypa.github.io/pipx/), a package manager for python tools. 3. Install the latest released version of cleancredits: ```bash pipx install cleancredits ``` Or install the latest version from Github: ```bash pipx install git+https://github.com/BeatriceEagle/cleancredits@main ``` ## Usage ### Generate HSV mask ```bash cleancredits mask [OPTIONS] VIDEO ``` Generate a mask based on a video clip Options: ``` -s, --start TIMECODE Start timecode (HH:MM:SS[:frame]) in the input video -e, --end TIMECODE End timecode (HH:MM:SS[:frame]) in the input video -i, --input FILE Input mask. These pixels will always be present in the output mask (unless explicitly excluded). -o, --output FILE Output mask to this location [required] --hue-min INTEGER RANGE Minimum hue [0<=x<=179] --hue-max INTEGER RANGE Maximum hue [0<=x<=179] --sat-min INTEGER RANGE Minimum saturation [0<=x<=255] --sat-max INTEGER RANGE Maximum saturation [0<=x<=255] --val-min INTEGER RANGE Minimum value [0<=x<=255] --val-max INTEGER RANGE Maximum value [0<=x<=255] --grow INTEGER RANGE Grow amount [0<=x<=20] --bbox-x1 INTEGER RANGE Bounding box left x [x>=0] --bbox-x2 INTEGER RANGE Bounding box right x [x>=0] --bbox-y1 INTEGER RANGE Bounding box top y [x>=0] --bbox-y2 INTEGER RANGE Bounding box bottom y [x>=0] --gui / --no-gui Set --no-gui to directly render the mask without displaying the GUI --help Show this message and exit. ``` This command will display a graphical interface for modifying a mask that allows isolating part of an image based on hue / saturation / value, as well as a bounding box. You can also manually add or exclude parts of an image. You can layer combine masks for multiple colors or areas of credits by outputting a mask, then passing that as an `--input` to the `mask` command. ### Clean credits ```bash cleancredits clean [OPTIONS] VIDEO MASK ``` Arguments: - `VIDEO`: Path to the video file being cleaned - `MASK`: Path to the mask file. This should be a black and white png, where white indicates areas that will be removed and interpolated. Options: - `--start/--end`: The start/end timecodes (HH:MM:SS[:frame]) to process from the input video. Default: Start and end of the input video. - `--radius`: The number of pixels the inpaint algorithm uses for interpolation. The default is 3, and this generally gives good results, but if you want to experiment, go wild. - `--framerate`: The framerate (fps) of the video being cleaned. The default is the input framerate. - `--output PATH`: If this flag is selected, the cleaned frames will be remuxed into video and output at the specified `PATH`. You can omit this option if you want to do your own muxing. `cleancredits` muxes video using ffmpeg's libx264 codec and yuv420p colorspace, which in testing were found to give the best quality video while also still being recognizable by most editors and players. Outputting as a `.mp4` file is recommended. Example: ```bash # Takes a video.mkv and mask.png from the current directory and outputs # output.mp4 to the current directory. cleancredits clean video.mkv mask.png -o output.mp4 ``` Output: A folder containing all the cleaned frames of the video, and the cleaned video.

نیازمندی

مقدار	نام
<9.0,>=8.1	click
<1.0,>=0.2	ffmpeg-python
-	opencv-python
-	Pillow

زبان مورد نیاز

مقدار	نام
>=3.6.0	Python

نحوه نصب

نصب پکیج whl cleancredits-2.0.0:

pip install cleancredits-2.0.0.whl

نصب پکیج tar.gz cleancredits-2.0.0:

pip install cleancredits-2.0.0.tar.gz