├── .gitignore ├── .gitmodules ├── DAINVulkanCLI-Colab.ipynb ├── LICENSE ├── README.md ├── requirements-gui.txt ├── requirements-optional.txt ├── requirements.txt ├── res ├── colab-64x.png ├── linux-64x.png └── windows-64x.png └── src ├── DAINVulkanCLI.py ├── DAINVulkanGUI.py ├── cain_ncnn_vulkan.py ├── dain_ncnn_vulkan.py ├── definitions.py ├── ffmpeg.py ├── ffprobe.py ├── gui_layout.ui ├── image_similarity.py ├── interpolator.py ├── rife_ncnn_vulkan.py ├── rife_pytorch.py └── video_extract.py /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | wheels/ 23 | pip-wheel-metadata/ 24 | share/python-wheels/ 25 | *.egg-info/ 26 | .installed.cfg 27 | *.egg 28 | MANIFEST 29 | 30 | # PyInstaller 31 | # Usually these files are written by a python script from a template 32 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 33 | *.manifest 34 | *.spec 35 | 36 | # Installer logs 37 | pip-log.txt 38 | pip-delete-this-directory.txt 39 | 40 | # Unit test / coverage reports 41 | htmlcov/ 42 | .tox/ 43 | .nox/ 44 | .coverage 45 | .coverage.* 46 | .cache 47 | nosetests.xml 48 | coverage.xml 49 | *.cover 50 | *.py,cover 51 | .hypothesis/ 52 | .pytest_cache/ 53 | 54 | # Translations 55 | *.mo 56 | *.pot 57 | 58 | # Django stuff: 59 | *.log 60 | local_settings.py 61 | db.sqlite3 62 | db.sqlite3-journal 63 | 64 | # Flask stuff: 65 | instance/ 66 | .webassets-cache 67 | 68 | # Scrapy stuff: 69 | .scrapy 70 | 71 | # Sphinx documentation 72 | docs/_build/ 73 | 74 | # PyBuilder 75 | target/ 76 | 77 | # Jupyter Notebook 78 | .ipynb_checkpoints 79 | 80 | # IPython 81 | profile_default/ 82 | ipython_config.py 83 | 84 | # pyenv 85 | .python-version 86 | 87 | # pipenv 88 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 89 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 90 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 91 | # install all needed dependencies. 92 | #Pipfile.lock 93 | 94 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow 95 | __pypackages__/ 96 | 97 | # Celery stuff 98 | celerybeat-schedule 99 | celerybeat.pid 100 | 101 | # SageMath parsed files 102 | *.sage.py 103 | 104 | # Environments 105 | .env 106 | .venv 107 | env/ 108 | venv/ 109 | ENV/ 110 | env.bak/ 111 | venv.bak/ 112 | 113 | # Spyder project settings 114 | .spyderproject 115 | .spyproject 116 | 117 | # Rope project settings 118 | .ropeproject 119 | 120 | # mkdocs documentation 121 | /site 122 | 123 | # mypy 124 | .mypy_cache/ 125 | .dmypy.json 126 | dmypy.json 127 | 128 | # Pyre type checker 129 | .pyre/ 130 | 131 | # IntelliJ IDE 132 | .idea/ 133 | 134 | # Dolphin fm metadata 135 | .directory 136 | 137 | # Don't store large binaries in git repo 138 | dependencies/ 139 | src/dependencies/ -------------------------------------------------------------------------------- /.gitmodules: -------------------------------------------------------------------------------- 1 | [submodule "src/RIFE"] 2 | path = src/RIFE 3 | url = https://github.com/Mar2ck/arXiv2020-RIFE 4 | -------------------------------------------------------------------------------- /DAINVulkanCLI-Colab.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "nbformat": 4, 3 | "nbformat_minor": 0, 4 | "metadata": { 5 | "colab": { 6 | "name": "DAINVulkanCLI-Colab.ipynb", 7 | "provenance": [], 8 | "private_outputs": true, 9 | "collapsed_sections": [], 10 | "toc_visible": true 11 | }, 12 | "kernelspec": { 13 | "name": "python3", 14 | "display_name": "Python 3" 15 | }, 16 | "accelerator": "GPU" 17 | }, 18 | "cells": [ 19 | { 20 | "cell_type": "markdown", 21 | "metadata": { 22 | "id": "F78H7JkR5c49" 23 | }, 24 | "source": [ 25 | "# DAIN-Vulkan-GUI Colab\n", 26 | "[Mar2ck/DAIN-Vulkan-GUI](https://github.com/Mar2ck/DAIN-Vulkan-GUI/)" 27 | ] 28 | }, 29 | { 30 | "cell_type": "code", 31 | "metadata": { 32 | "id": "-OapminG4kJV" 33 | }, 34 | "source": [ 35 | "# Connect Google Drive\n", 36 | "from google.colab import drive\n", 37 | "drive.mount('/content/drive')\n", 38 | "print('Google Drive connected.')" 39 | ], 40 | "execution_count": null, 41 | "outputs": [] 42 | }, 43 | { 44 | "cell_type": "code", 45 | "metadata": { 46 | "id": "O0fPt2JG4014" 47 | }, 48 | "source": [ 49 | "# Check GPU\n", 50 | "!nvidia-smi" 51 | ], 52 | "execution_count": null, 53 | "outputs": [] 54 | }, 55 | { 56 | "cell_type": "code", 57 | "metadata": { 58 | "id": "U94yuBubvpZo" 59 | }, 60 | "source": [ 61 | "# Install Vulkan libraries\n", 62 | "!apt install -y libvulkan1" 63 | ], 64 | "execution_count": null, 65 | "outputs": [] 66 | }, 67 | { 68 | "cell_type": "code", 69 | "metadata": { 70 | "id": "TUU4As0Mv9TK" 71 | }, 72 | "source": [ 73 | "# Download DAIN-Vulkan-GUI\n", 74 | "!git clone https://github.com/Mar2ck/DAIN-Vulkan-GUI" 75 | ], 76 | "execution_count": null, 77 | "outputs": [] 78 | }, 79 | { 80 | "cell_type": "code", 81 | "metadata": { 82 | "id": "heZk2eVricsn" 83 | }, 84 | "source": [ 85 | "# Download dependencies\n", 86 | "!wget \"https://github.com/Mar2ck/DAIN-Vulkan-GUI/releases/download/0.0.2/dependencies-linux.tar.xz\"\n", 87 | "!tar -xvf dependencies-linux.tar.xz -C ./DAIN-Vulkan-GUI/src/\n", 88 | "!python3 -m pip install -r /content/DAIN-Vulkan-GUI/requirements.txt\n", 89 | "!python3 -m pip install -r /content/DAIN-Vulkan-GUI/requirements-optional.txt" 90 | ], 91 | "execution_count": null, 92 | "outputs": [] 93 | }, 94 | { 95 | "cell_type": "code", 96 | "metadata": { 97 | "id": "YV2Pz_VLlYw2" 98 | }, 99 | "source": [ 100 | "# Check help page\n", 101 | "!python3 /content/DAIN-Vulkan-GUI/src/DAINVulkanCLI.py --help" 102 | ], 103 | "execution_count": null, 104 | "outputs": [] 105 | }, 106 | { 107 | "cell_type": "code", 108 | "metadata": { 109 | "id": "Y7CJ2apU44Vc" 110 | }, 111 | "source": [ 112 | "# Run DAINVulkanCLI\n", 113 | "!python3 /content/DAIN-Vulkan-GUI/src/DAINVulkanCLI.py -i \"/content/drive/My Drive/Videos/example.mp4\" -O \"/content/\" -t 2048 --interpolator \"cain-ncnn\"" 114 | ], 115 | "execution_count": null, 116 | "outputs": [] 117 | } 118 | ] 119 | } -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | GNU GENERAL PUBLIC LICENSE 2 | Version 3, 29 June 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU General Public License is a free, copyleft license for 11 | software and other kinds of works. 12 | 13 | The licenses for most software and other practical works are designed 14 | to take away your freedom to share and change the works. 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But first, please read 674 | . 675 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # DAIN-Vulkan-GUI 2 | AI-Powered video interpolater (eg. 30fps -> 60fps) for Vulkan devices. Based on dain-ncnn-vulkan and ffmpeg 3 | 4 | WIP Software so expect bugs, GUI soon™ 5 | 6 | ## Download 7 | Windows | Linux | Google Colab 8 | :-: | :-: | :-: 9 | [![windows](./res/windows-64x.png "Windows")](https://github.com/Mar2ck/DAIN-Vulkan-GUI/releases) | [![linux](./res/linux-64x.png "Linux")](https://github.com/Mar2ck/DAIN-Vulkan-GUI/releases) | [![colab](./res/colab-64x.png "Google Colab")](https://colab.research.google.com/github/Mar2ck/DAIN-Vulkan-GUI/blob/master/DAINVulkanCLI-Colab.ipynb) 10 | 11 | 12 | ## Usage 13 | Windows: `.\DAINVulkanCLI.exe -i "C:\Users\example\Videos\test.mp4" --output-folder "C:\Users\example\Videos\DainFolder"` 14 | 15 | Linux: `./DAINVulkanCLI -i "/home/example/Videos/test.mp4" --output-folder "/home/example/Videos/DainFolder"` 16 | 17 | ## Features 18 | * Static frame interpolation 19 | * Dain-ncnn: 2x, 3x, 4x, 5x, etc. Multiplier-target 20 | * Cain-ncnn, Rife-ncnn: 2x, 4x, 8x, etc. Multiplier-target 21 | * Multi-threading (-j) 22 | * Multi-gpu (-g) 23 | * Dynamic interpolation (dain-ncnn) (duplicate frames are interpolated) 24 | * Dynamic 1x mode (framerate stays the same, duplicate frames are replaced with interpolations) 25 | 26 | ### Todo 27 | * Dynamic interpolation (cain-ncnn, RIFE) 28 | * Perfect loop (Last frame leads into the first) 29 | * Framerate-target 30 | * Slow-mo mode (framerate stays the same, video is slowed down via interpolation) 31 | 32 | ### Needs to be fixed by Dain-ncnn author 33 | * Tiles don't overlap (artifacting when using tiles) 34 | * Transparency (glitchy output currently) 35 | * "vkWaitForFences failed" error when using large tilesizes on Windows 36 | 37 | ## Tips 38 | The program can be set to process two frames at once (`-j 1:2:2`). This allows for the GPU to be used almost 100% of the time instead of pausing everytime a frame needs to be saved/loaded which gives a very slight speed increase. The downside however is that two frames will be in memory at once so a lower tile size will be needed if there isn't enough VRAM. 39 | 40 | Tiles are used by default which can slow down processing. Using a tilesize that's equal to or bigger then the video's resolution will disable tiles and process the frame all at once. Eg. 720p = 1280x720 so use `-t 1280` 41 | 42 | ## Errors 43 | "vkQueueSubmit failed" and "vkAllocateMemory failed" happens when there isn't enough VRAM for the current frame. Use a lower tile size or downscale the video. 44 | 45 | ## Help message 46 | ``` 47 | usage: DAINVulkanCLI.py [-h] -i INPUT_FILE -O OUTPUT_FOLDER [-o OUTPUT_FILE] 48 | [--delete-output-folder] [-m INTERPOLATION_MODE] 49 | [-x FRAME_MULTIPLIER] [--target-fps TARGET_FPS] 50 | [-e INTERPOLATOR_ENGINE] [--loop-video] 51 | [--duplicate-auto-delete DUPLICATE_AUTO_DELETE] 52 | [-g GPU_ID] [-t TILE_SIZE] [-j THREADS] 53 | [--steps STEPS] [--video-type VIDEO_TYPE] 54 | [--copy-mtime] [--input-fps INPUT_FPS] [--verbose] 55 | [--debug] 56 | 57 | optional arguments: 58 | -h, --help show this help message and exit 59 | -i INPUT_FILE, --input-file INPUT_FILE 60 | Path to input video 61 | -O OUTPUT_FOLDER, --output-folder OUTPUT_FOLDER 62 | Folder to output work to 63 | -o OUTPUT_FILE, --output-file OUTPUT_FILE 64 | Path to copy final video to (can be directory or file 65 | path) 66 | --delete-output-folder 67 | Delete output folder at the end, intended to be used 68 | with --output-file 69 | -m INTERPOLATION_MODE, --interpolation-mode INTERPOLATION_MODE 70 | Interpolation type (static/dynamic, default=static) 71 | -x FRAME_MULTIPLIER, --frame-multiplier FRAME_MULTIPLIER 72 | Frame multiplier 2x,3x,etc (default=2) 73 | --target-fps TARGET_FPS 74 | Calculates frame multiplier based on a target 75 | framerate 76 | -e INTERPOLATOR_ENGINE, --interpolator-engine INTERPOLATOR_ENGINE 77 | Pick interpolator: dain-ncnn, cain-ncnn, rife-ncnn 78 | (default=dain-ncnn) 79 | --loop-video [Unimplemented] Interpolates video as a loop (last 80 | frame leads into the first) 81 | --duplicate-auto-delete DUPLICATE_AUTO_DELETE 82 | Based on a percentage (Eg. 0.95) will delete any 83 | frames found to be more similar 84 | -g GPU_ID, --gpu-id GPU_ID 85 | GPU to use (default=auto) can be 0,1,2 for multi-gpu 86 | -t TILE_SIZE, --tile-size TILE_SIZE 87 | Tile size (>=128, default=256) must be multiple of 32, 88 | can be 256,256,128 for multi-gpu 89 | -j THREADS, --threads THREADS 90 | Thread count for load/process/save (default=1:2:2) can 91 | be 1:2,2,2:2 for multi-gpu 92 | --steps STEPS If specified only run certain steps 1,2,3 (eg. 1,2 for 93 | 1 & 2 only) 94 | --video-type VIDEO_TYPE 95 | Video type for output video eg. mp4, webm, mkv 96 | (default=mp4) 97 | --copy-mtime Copy the modified timestamp to output 98 | --input-fps INPUT_FPS 99 | Manually specify framerate of input video 100 | --verbose Print additional info to the commandline 101 | --debug Print debug messages to the commandline 102 | ``` 103 | 104 | ## Credits 105 | Interpolation programs that this project is a wrapper for: 106 | * https://github.com/nihui/dain-ncnn-vulkan 107 | * https://github.com/nihui/cain-ncnn-vulkan 108 | * https://github.com/nihui/rife-ncnn-vulkan 109 | * https://github.com/hzwer/arXiv2020-RIFE 110 | 111 | All in one program for video decoding/encoding: 112 | * https://ffmpeg.org/ 113 | -------------------------------------------------------------------------------- /requirements-gui.txt: -------------------------------------------------------------------------------- 1 | PyQt5>=5.15.1 -------------------------------------------------------------------------------- /requirements-optional.txt: -------------------------------------------------------------------------------- 1 | # Used to accelerate duplicate frame detection with OpenCL, will fallback to cpu if not installed 2 | pyopencl>=2020.2.2 3 | 4 | # Used for RIFE (can use CPU-only or CUDA versions) 5 | #torch>=1.7.0 6 | #torchvision>=0.8.1 7 | #torch==1.7.0+cpu 8 | #torchvision==0.8.1+cpu 9 | #opencv-python-headless>=4.4.0.46 -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | Pillow>=8.0.1 2 | alive-progress>=1.6.1 3 | SSIM-PIL>=1.0.10 -------------------------------------------------------------------------------- /res/colab-64x.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Mar2ck/DAIN-Vulkan-GUI/7f8d61764d5edba33a1078c16b7ee9c151cc6cdf/res/colab-64x.png -------------------------------------------------------------------------------- /res/linux-64x.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Mar2ck/DAIN-Vulkan-GUI/7f8d61764d5edba33a1078c16b7ee9c151cc6cdf/res/linux-64x.png -------------------------------------------------------------------------------- /res/windows-64x.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Mar2ck/DAIN-Vulkan-GUI/7f8d61764d5edba33a1078c16b7ee9c151cc6cdf/res/windows-64x.png -------------------------------------------------------------------------------- /src/DAINVulkanCLI.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python3 2 | """ 3 | DAIN-Vulkan-GUI: CLI Frontend 4 | AI-Powered video interpolater (eg. 30fps -> 60fps) for Vulkan devices. Based on dain-ncnn-vulkan and ffmpeg 5 | """ 6 | # Built-in modules 7 | import argparse 8 | import json 9 | import logging 10 | import math 11 | import os 12 | import pathlib 13 | from platform import system 14 | import shutil 15 | 16 | # Local modules 17 | import definitions 18 | import dain_ncnn_vulkan 19 | # import cain_ncnn_vulkan 20 | import ffmpeg 21 | import ffprobe 22 | # import video_extract 23 | import interpolator 24 | import image_similarity 25 | 26 | 27 | def main(input_file, output_folder, **kwargs): 28 | # System Info 29 | print("Platform:", system()) 30 | 31 | # Set defaults for kwargs (argparse adds unused arguements to the dict even if unused) 32 | interpolator_engine = definitions.DEFAULT_INTERPOLATOR_ENGINE 33 | if ("interpolator_engine" in kwargs) and (kwargs["interpolator_engine"] is not None): 34 | interpolator_engine = kwargs["interpolator_engine"] 35 | video_type = definitions.DEFAULT_VIDEO_TYPE 36 | if ("video_type" in kwargs) and (kwargs["video_type"] is not None): 37 | video_type = kwargs["video_type"] 38 | loop_frames = definitions.DEFAULT_LOOP 39 | if ("loop_video" in kwargs) and (kwargs["loop_video"] is not None): 40 | loop_frames = kwargs["loop_video"] 41 | 42 | # Optional arguments for interpolators 43 | interpolatorOptions = {} 44 | if ("tile_size" in kwargs) and (kwargs["tile_size"] is not None): 45 | interpolatorOptions["tile_size"] = kwargs["tile_size"] 46 | if ("gpu_id" in kwargs) and (kwargs["gpu_id"] is not None): 47 | interpolatorOptions["gpu_id"] = kwargs["gpu_id"] 48 | if ("threads" in kwargs) and (kwargs["threads"] is not None): 49 | interpolatorOptions["threads"] = kwargs["threads"] 50 | print("Interpolator Options:", interpolatorOptions) 51 | 52 | # Parse step selection 53 | stepsSelection = None 54 | if ("steps" in kwargs) and (kwargs["steps"] is not None): 55 | stepsSelection = kwargs["steps"].split(",") 56 | print("Steps selected:", stepsSelection) 57 | 58 | # Input/Output Videos 59 | inputFile = os.path.abspath(input_file) 60 | inputFileName = pathlib.Path(inputFile).stem # Filename of input file without extension 61 | outputFolder = os.path.abspath(output_folder) 62 | print("Input file:", inputFile) 63 | 64 | # Input FPS, prioritize specified over detected 65 | if ("input_fps" in kwargs) and (kwargs["input_fps"] is not None): 66 | inputFileFps = kwargs["input_fps"] 67 | else: 68 | print("FFprobe: Scanning video metadata for framerate...") 69 | inputFileProperties = ffprobe.analyze_video_stream_metadata(inputFile) 70 | print(inputFileProperties) 71 | fracNum, fracDenom = inputFileProperties["fpsReal"].split("/") 72 | inputFileFps = int(fracNum) / int(fracDenom) 73 | print("Video fps:", inputFileFps) 74 | 75 | # Calculate multiplier if not specified 76 | frame_multiplier = definitions.DEFAULT_FRAME_MULTIPLIER 77 | if ("frame_multiplier" in kwargs) and (kwargs["frame_multiplier"] is not None): 78 | # Frame mutiplier is defined 79 | frame_multiplier = kwargs["frame_multiplier"] 80 | elif ("target_fps" in kwargs) and (kwargs["target_fps"] is not None): 81 | # Frame mutiplier is calculated from target_fps 82 | frame_multiplier_precise = int(kwargs["target_fps"])/inputFileFps 83 | if interpolator_engine.startswith("dain-ncnn"): 84 | # Round up 85 | frame_multiplier = math.ceil(frame_multiplier_precise) 86 | elif interpolator_engine.startswith(("cain-ncnn", "rife")): 87 | if (frame_multiplier_precise % 1) == 0 and (int(frame_multiplier_precise) & (int(frame_multiplier_precise) - 1) == 0): 88 | # If number is decimal and is a power of 2 89 | frame_multiplier = int(frame_multiplier_precise) 90 | else: 91 | # Else round up to next power of 2 92 | frame_multiplier = 2 ** (int(float(frame_multiplier_precise).hex().split('p+')[1]) + 1) 93 | print("Multiplier:", frame_multiplier) 94 | 95 | # Setup working folder and predefined output folders 96 | folderBase = os.path.join(outputFolder, inputFileName) 97 | pathlib.Path(folderBase).mkdir(parents=True, exist_ok=True) # Create base folder at start 98 | print("Working Directory:", folderBase) 99 | folderOriginalFrames = os.path.join(folderBase, "original_frames") 100 | folderInterpolatedFrames = os.path.join(folderBase, "interpolated_frames") 101 | folderOutputVideos = os.path.join(folderBase, "output_videos") 102 | infoJsonFilePath = os.path.join(folderBase, "info.json") 103 | 104 | # Read info from json 105 | infoJsonFile = {} 106 | if os.path.isfile(infoJsonFilePath): 107 | try: 108 | infoJsonFile = json.load(open(infoJsonFilePath, 'r')) 109 | print("info.json read:", infoJsonFile) 110 | except ValueError: 111 | print("info.json not read") 112 | else: 113 | print("Creating info.json") 114 | pathlib.Path(infoJsonFilePath).touch() 115 | 116 | # Step 1: Original Video -> Original Frames 117 | if (stepsSelection is None) or ("1" in stepsSelection): 118 | print("\nStep 1: Extracting frames to original_frames") 119 | ffmpeg.extract_frames(inputFile, folderOriginalFrames) 120 | folderOriginalFramesExtractedCount = len(os.listdir(folderOriginalFrames)) 121 | infoJsonFile["extracted_frames"] = folderOriginalFramesExtractedCount 122 | print("Extracted frame count:", folderOriginalFramesExtractedCount) 123 | 124 | if ("duplicate_auto_delete" in kwargs) and (kwargs["duplicate_auto_delete"] is not None): 125 | print("Auto-deleting original_frames over {} similarity...".format(kwargs["duplicate_auto_delete"])) 126 | image_similarity.delete_similar_images(folderOriginalFrames, kwargs["duplicate_auto_delete"]) 127 | 128 | # print("Removing alpha layer from original_frames...") 129 | # video_extract.png_directory_remove_alpha_channel(folderOriginalFrames) 130 | 131 | print("original_frames count:", len(os.listdir(folderOriginalFrames))) 132 | 133 | # Step 2: Original Frames -> Interpolated Frames 134 | if (stepsSelection is None) or ("2" in stepsSelection): 135 | print("\nStep 2: Processing frames to interpolated_frames using", interpolator_engine) 136 | print("Interpolating to: {}x".format(frame_multiplier)) 137 | 138 | infoJsonFile["outputSuffixes"] = [] # Overwrite suffixes since step 2 is ran 139 | currentInterpolatorFolder = folderOriginalFrames 140 | 141 | # Dynamic interpolation 142 | if ("interpolation_mode" in kwargs) and (kwargs["interpolation_mode"] == "dynamic"): 143 | if interpolator_engine.startswith("dain-ncnn"): # Timestep-based dynamic 144 | folderDynamic = os.path.join(folderBase, "dynamic-1x") 145 | interpolator.interpolate_dynamic(currentInterpolatorFolder, folderDynamic, 146 | infoJsonFile["extracted_frames"], loop=loop_frames, 147 | **interpolatorOptions) 148 | 149 | currentInterpolatorFolder = folderDynamic 150 | infoJsonFile["outputSuffixes"].append("-Dynamic1x".format(frame_multiplier)) 151 | else: # Non-timestep dynamic 152 | # TODO Add dynamic interpolation for engines without time-step 153 | print("ERROR: Dynamic interpolation not currently supported by", interpolator_engine) 154 | 155 | # Static interpolation 156 | if frame_multiplier >= 2: 157 | folderInterpolatedFramesCount = len(os.listdir(folderOriginalFrames)) * frame_multiplier 158 | print("interpolated_frames count", folderInterpolatedFramesCount) 159 | if interpolator_engine.startswith("dain-ncnn"): 160 | dain_ncnn_vulkan.interpolate_folder_mode(currentInterpolatorFolder, folderInterpolatedFrames, 161 | frame_multiplier, **interpolatorOptions) 162 | currentInterpolatorFolder = folderInterpolatedFrames 163 | infoJsonFile["outputSuffixes"].append("-Dain{}x".format(frame_multiplier)) 164 | elif interpolator_engine.startswith("cain-ncnn"): 165 | interpolator.folder_multiplier_handler(currentInterpolatorFolder, folderInterpolatedFrames, 166 | frame_multiplier, engine="cain-ncnn", 167 | **interpolatorOptions) 168 | currentInterpolatorFolder = folderInterpolatedFrames 169 | infoJsonFile["outputSuffixes"].append("-Cain{}x".format(frame_multiplier)) 170 | elif interpolator_engine.startswith("rife-ncnn"): 171 | interpolator.folder_multiplier_handler(currentInterpolatorFolder, folderInterpolatedFrames, 172 | frame_multiplier, engine="rife-ncnn", 173 | **interpolatorOptions) 174 | currentInterpolatorFolder = folderInterpolatedFrames 175 | infoJsonFile["outputSuffixes"].append("-Rife{}x".format(frame_multiplier)) 176 | # elif interpolator_engine.startswith("rife"): 177 | # import rife_pytorch 178 | # rife_pytorch.interpolate_folder_mode(currentInterpolatorFolder, folderInterpolatedFrames, 179 | # frame_multiplier) 180 | # currentInterpolatorFolder = folderInterpolatedFrames 181 | # infoJsonFile["outputSuffixes"].append("-Rife{}x".format(frame_multiplier)) 182 | else: 183 | print("Invalid interpolator option") 184 | exit(1) 185 | 186 | # Rename last folder to interpolated_frames if not already 187 | if currentInterpolatorFolder is not folderInterpolatedFrames: 188 | if os.path.isdir(folderInterpolatedFrames) is True: 189 | print("\"{}\" already exists, deleting".format(folderInterpolatedFrames)) 190 | shutil.rmtree(folderInterpolatedFrames) 191 | os.rename(currentInterpolatorFolder, folderInterpolatedFrames) 192 | 193 | # Step 3: Interpolated Frames -> Output Video 194 | if (stepsSelection is None) or ("3" in stepsSelection): 195 | print("\nStep 3: Extracting frames to output_videos") 196 | outputFile = os.path.join(folderOutputVideos, inputFileName + "".join(infoJsonFile["outputSuffixes"]) + 197 | "." + video_type) 198 | ffmpeg.encode_frames(folderInterpolatedFrames, 199 | outputFile, 200 | str(inputFileFps * frame_multiplier)) 201 | 202 | if ("copy_audio" in kwargs) and (kwargs["copy_audio"] is True): 203 | print("Copying audio to output...") 204 | infoJsonFile["outputSuffixes"].append("-audio") 205 | last_output_file = outputFile 206 | outputFile = os.path.join(folderOutputVideos, inputFileName + "".join(infoJsonFile["outputSuffixes"]) + 207 | "." + video_type) 208 | ffmpeg.combine_video_audio(last_output_file, inputFile, outputFile) 209 | 210 | if ("copy_mtime" in kwargs) and (kwargs["copy_mtime"] is True): # Copy mtime to output 211 | print("Copying mtime to output...") 212 | inputFileModifiedTime = os.path.getmtime(inputFile) 213 | os.utime(outputFile, (inputFileModifiedTime, inputFileModifiedTime)) 214 | 215 | if ("output_file" in kwargs) and (kwargs["output_file"] is not None): # Copy output file to destination 216 | print("Copying output file to --output-file...") 217 | shutil.copy2(outputFile, os.path.dirname(inputFile)) 218 | 219 | # Write info to json at the end 220 | json.dump(infoJsonFile, open(infoJsonFilePath, "w")) 221 | 222 | if ("delete_output_folder" in kwargs) and (kwargs["delete_output_folder"] is True): 223 | print("Deleting working directory...") 224 | shutil.rmtree(folderBase) 225 | 226 | 227 | if __name__ == "__main__": 228 | # Console arguments 229 | parser = argparse.ArgumentParser() 230 | # Path options 231 | parser.add_argument("-i", "--input-file", required=True, help="Path to input video") 232 | parser.add_argument("-O", "--output-folder", required=True, help="Folder to output work to") 233 | parser.add_argument("-o", "--output-file", help="Path to copy final video to (can be directory or file path)") 234 | parser.add_argument("--delete-output-folder", action="store_true", 235 | help="Delete output folder at the end, intended to be used with --output-file") 236 | # Interpolation options 237 | parser.add_argument("-m", "--interpolation-mode", default=definitions.DEFAULT_INTERPOLATOR_MODE, 238 | help="Interpolation type (static/dynamic, default=static)") 239 | parser.add_argument("-x", "--frame-multiplier", type=int, 240 | help="Frame multiplier 2x,3x,etc (default=2)") 241 | parser.add_argument("--target-fps", help="Calculates frame multiplier based on a target framerate") 242 | parser.add_argument("-e", "--interpolator-engine", default=definitions.DEFAULT_INTERPOLATOR_ENGINE, 243 | help="Pick interpolator: dain-ncnn, cain-ncnn, rife-ncnn (default=dain-ncnn)") 244 | parser.add_argument("--loop-video", action="store_true", 245 | help="[Unimplemented] Interpolates video as a loop (last frame leads into the first)") 246 | parser.add_argument("--duplicate-auto-delete", type=float, 247 | help="Based on a percentage (Eg. 0.95) will delete any frames found to be more similar") 248 | # Dain-ncnn/Cain-ncnn pass-through options 249 | parser.add_argument("-g", "--gpu-id", help="GPU to use (default=auto) can be 0,1,2 for multi-gpu") 250 | parser.add_argument("-t", "--tile-size", 251 | help="Tile size (>=128, default=256) must be multiple of 32, can be 256,256,128 for multi-gpu") 252 | parser.add_argument("-j", "--threads", 253 | help="Thread count for load/process/save (default=1:2:2) can be 1:2,2,2:2 for multi-gpu") 254 | # Step options 255 | parser.add_argument("--steps", help="If specified only run certain steps 1,2,3 (eg. 1,2 for 1 & 2 only)") 256 | # Output file options 257 | parser.add_argument("--video-type", default=definitions.DEFAULT_VIDEO_TYPE, 258 | help="Video type for output video eg. mp4, webm, mkv (default=mp4)") 259 | parser.add_argument("--copy-mtime", action="store_true", help="Copy the modified timestamp to output") 260 | parser.add_argument("--copy-audio", action="store_true", help="Copy the input audio to output") 261 | # Debug options 262 | parser.add_argument("--input-fps", type=float, help="Manually specify framerate of input video") 263 | parser.add_argument("--verbose", action="store_true", help="Print additional info to the commandline") 264 | parser.add_argument("--debug", action="store_true", help="Print debug messages to the commandline") 265 | arguments = vars(parser.parse_args()) 266 | 267 | # Logging 268 | if arguments["verbose"] is True: 269 | logging.basicConfig(level=logging.INFO) 270 | if arguments["debug"] is True: 271 | logging.basicConfig(level=logging.DEBUG) 272 | 273 | main(**arguments) 274 | -------------------------------------------------------------------------------- /src/DAINVulkanGUI.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python3 2 | 3 | # Built-in modules 4 | import os 5 | import sys 6 | 7 | # Local modules 8 | import dain_ncnn_vulkan 9 | import cain_ncnn_vulkan 10 | import DAINVulkanCLI 11 | 12 | # External modules 13 | from PyQt5 import uic 14 | from PyQt5.QtWidgets import * 15 | from PyQt5.QtCore import * 16 | 17 | 18 | def error_popup(message): 19 | msg = QMessageBox() 20 | msg.setWindowTitle("Error") 21 | print(message) 22 | msg.setText(message) 23 | msg.exec_() 24 | 25 | 26 | class Worker(QRunnable): 27 | def __init__(self, *args, **kwargs): 28 | super(Worker, self).__init__() 29 | self.args = args 30 | self.kwargs = kwargs 31 | 32 | @pyqtSlot() 33 | def run(self): 34 | print(self.kwargs) 35 | DAINVulkanCLI.main(**self.kwargs) 36 | print("Done!") 37 | 38 | 39 | class MainWindow(QMainWindow): 40 | def input_file_dialog_box(self): 41 | self.input_file = QFileDialog.getOpenFileName(None, 'Open input file', os.getenv('HOME'), 42 | 'Videos (*.mp4 *.mkv *.webm);;' 43 | 'Animated images (*.gif *.apng *.png);;' 44 | 'All Files (*)')[0] 45 | 46 | print("Selected input file: {}".format(self.input_file)) 47 | if not self.input_file: 48 | self.input_label.setText('Input Path') 49 | else: 50 | self.input_label.setText(self.input_file) 51 | 52 | def output_file_dialog_box(self): 53 | self.output_dir = QFileDialog.getExistingDirectory(None, 'Choose output folder', os.getenv('HOME')) 54 | print("Selected output folder: {}".format(self.output_dir)) 55 | if not self.output_dir: 56 | self.output_label.setText('Output Path') 57 | else: 58 | self.output_label.setText(self.output_dir) 59 | 60 | def interpolator_engine_combo_box_changed(self): 61 | print("combobox changed to", self.engine_combo_box.currentText()) 62 | if self.engine_combo_box.currentText().lower().startswith("dain-ncnn"): 63 | self.tile_size_line_edit.setPlaceholderText(str(dain_ncnn_vulkan.DEFAULT_TILE_SIZE)) 64 | elif self.engine_combo_box.currentText().lower().startswith("cain-ncnn"): 65 | self.tile_size_line_edit.setPlaceholderText(str(cain_ncnn_vulkan.DEFAULT_TILE_SIZE)) 66 | 67 | def worker_execute(self): 68 | # Required arguments 69 | if not self.input_file: 70 | error_popup("Please specify an input file") 71 | return -1 72 | if not self.output_dir: 73 | error_popup("Please specify an output folder") 74 | return -1 75 | 76 | kwargs = { 77 | "input_file": self.input_file, 78 | "output_folder": self.output_dir, 79 | "interpolator_engine": self.engine_combo_box.currentText(), 80 | } 81 | 82 | # Add optional arguments to kwargs only if specified 83 | if self.tile_size_line_edit.text(): 84 | kwargs["tile_size"] = self.tile_size_line_edit.text() 85 | if self.gpu_id_line_edit.text(): 86 | kwargs["gpu_id"] = self.gpu_id_line_edit.text() 87 | if self.threads_line_edit.text(): 88 | kwargs["threads"] = self.threads_line_edit.text() 89 | 90 | # Execute 91 | worker = Worker(**kwargs) 92 | self.threadpool.start(worker) 93 | 94 | def __init__(self): 95 | super(MainWindow, self).__init__() 96 | 97 | # Create thread pool and limit to one thread 98 | self.threadpool = QThreadPool() 99 | self.threadpool.setMaxThreadCount(1) 100 | print("Multithreading with maximum {} threads".format(self.threadpool.maxThreadCount())) 101 | 102 | # Load layout from xml file 103 | uic.loadUi("gui_layout.ui", self) 104 | 105 | self.setWindowTitle("DAIN-Vulkan-GUI") 106 | 107 | # Input/Output 108 | self.input_file_button = self.findChild(QPushButton, 'inputFileButton') 109 | self.input_file_button.clicked.connect(self.input_file_dialog_box) 110 | self.input_file = None 111 | self.input_label = self.findChild(QLabel, 'inputFileLabel') 112 | 113 | self.output_file_button = self.findChild(QPushButton, 'outputFileButton') 114 | self.output_file_button.clicked.connect(self.output_file_dialog_box) 115 | self.output_dir = None 116 | self.output_label = self.findChild(QLabel, 'outputFileLabel') 117 | 118 | # Interpolator Engine Options 119 | self.engine_combo_box = self.findChild(QComboBox, "engineComboBox") 120 | self.engine_combo_box.currentTextChanged.connect(self.interpolator_engine_combo_box_changed) 121 | self.tile_size_line_edit = self.findChild(QLineEdit, 'tileSizeLineEdit') 122 | self.tile_size_line_edit.setPlaceholderText(str(dain_ncnn_vulkan.DEFAULT_TILE_SIZE)) 123 | self.gpu_id_line_edit = self.findChild(QLineEdit, 'gpuIdLineEdit') 124 | self.gpu_id_line_edit.setPlaceholderText(dain_ncnn_vulkan.DEFAULT_GPU_ID) 125 | self.threads_line_edit = self.findChild(QLineEdit, 'threadsLineEdit') 126 | self.threads_line_edit.setPlaceholderText(dain_ncnn_vulkan.DEFAULT_THREADS) 127 | 128 | # Execute button 129 | self.execute_button = self.findChild(QPushButton, 'executeButton') 130 | self.execute_button.clicked.connect(self.worker_execute) 131 | 132 | self.show() 133 | 134 | 135 | if __name__ == "__main__": 136 | app = QApplication(sys.argv) 137 | window = MainWindow() 138 | # app.setStyle("Fusion") 139 | window.show() 140 | app.exec_() 141 | -------------------------------------------------------------------------------- /src/cain_ncnn_vulkan.py: -------------------------------------------------------------------------------- 1 | """ 2 | cain-ncnn-vulkan process wrapper 3 | 4 | Cain does not support time-step (aka: always set to "0.5") 5 | Neither does it support target-frames for the same reason 6 | """ 7 | # Built-in modules 8 | import os 9 | import pathlib 10 | import shutil 11 | import subprocess 12 | # Local modules 13 | import definitions 14 | # External modules 15 | from alive_progress import alive_bar 16 | 17 | # Interpolation Defaults 18 | DEFAULT_GPU_ID = "auto" 19 | DEFAULT_THREADS = "1:1:1" 20 | 21 | 22 | def interpolate_file_mode(input0_file, input1_file, output_file, 23 | gpu_id=DEFAULT_GPU_ID, threads=DEFAULT_THREADS, **kwargs): 24 | """File-mode Interpolation""" 25 | # Make sure parent folder of output_file exists 26 | pathlib.Path(os.path.dirname(output_file)).mkdir(parents=True, exist_ok=True) 27 | cmd = [definitions.CAIN_NCNN_VULKAN_BIN, 28 | "-0", os.path.abspath(input0_file), 29 | "-1", os.path.abspath(input1_file), 30 | "-o", os.path.abspath(output_file), 31 | "-g", str(gpu_id), 32 | "-j", threads] 33 | print(" ".join(cmd)) 34 | subprocess.run(cmd, cwd=definitions.CAIN_NCNN_VULKAN_LOCATION) 35 | 36 | 37 | def interpolate_folder_mode(input_folder, output_folder, 38 | gpu_id=DEFAULT_GPU_ID, threads=DEFAULT_THREADS, 39 | verbose=False, **kwargs): 40 | """Folder-mode Interpolation""" 41 | target_frames = len(os.listdir(input_folder)) * 2 42 | 43 | if os.path.isdir(output_folder): # Delete output_folder if it exists to avoid conflicts 44 | shutil.rmtree(output_folder) 45 | pathlib.Path(output_folder).mkdir(parents=True, exist_ok=True) # Create output_folder 46 | 47 | cmd = [definitions.CAIN_NCNN_VULKAN_BIN, 48 | "-i", os.path.abspath(input_folder), 49 | "-o", os.path.abspath(output_folder), 50 | "-g", str(gpu_id), 51 | "-j", threads, 52 | "-v"] 53 | if verbose is True: 54 | print(" ".join(cmd)) 55 | # subprocess.run(cmd, cwd=definitions.CAIN_NCNN_VULKAN_LOCATION) 56 | with alive_bar(target_frames, enrich_print=False) as bar: 57 | with subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, 58 | cwd=definitions.CAIN_NCNN_VULKAN_LOCATION, bufsize=1, universal_newlines=True) as process: 59 | for line in process.stderr: 60 | if line.startswith("["): # Starting GPU info 61 | print(line, end="") 62 | elif line.endswith("done\n"): # Verbose progress output 63 | bar() 64 | elif line.startswith(("find_blob_index_by_name", "fopen")): # Model not found error 65 | raise OSError("Model not found: {}".format(line.replace("\n", ""))) 66 | elif line.startswith("vkAllocateMemory failed"): # VRAM memory error 67 | raise RuntimeError("VRAM memory error: {}".format(line.replace("\n", ""))) 68 | elif line.startswith(("vkWaitForFences failed", "vkQueueSubmit failed")): # General vulkan error 69 | raise RuntimeError("Vulkan error: {}".format(line.replace("\n", ""))) 70 | else: 71 | print(line, end="") 72 | -------------------------------------------------------------------------------- /src/dain_ncnn_vulkan.py: -------------------------------------------------------------------------------- 1 | """ 2 | dain-ncnn-vulkan process wrapper 3 | """ 4 | # Built-in modules 5 | # import logging 6 | import os 7 | import pathlib 8 | import shutil 9 | import subprocess 10 | # Local modules 11 | import definitions 12 | # External modules 13 | from alive_progress import alive_bar 14 | 15 | # Interpolation Defaults 16 | DEFAULT_TIME_STEP = 0.5 17 | DEFAULT_MULTIPLIER = 2 18 | DEFAULT_TILE_SIZE = 256 19 | DEFAULT_GPU_ID = "auto" 20 | DEFAULT_THREADS = "1:1:1" 21 | 22 | 23 | def interpolate_file_mode(input0_file, input1_file, output_file, time_step=DEFAULT_TIME_STEP, 24 | tile_size=DEFAULT_TILE_SIZE, gpu_id=DEFAULT_GPU_ID, threads=DEFAULT_THREADS): 25 | """File-mode Interpolation""" 26 | # Make sure parent folder of output_file exists 27 | pathlib.Path(os.path.dirname(output_file)).mkdir(parents=True, exist_ok=True) 28 | cmd = [definitions.DAIN_NCNN_VULKAN_BIN, 29 | "-0", os.path.abspath(input0_file), 30 | "-1", os.path.abspath(input1_file), 31 | "-o", os.path.abspath(output_file), 32 | "-s", str(time_step), 33 | "-t", str(tile_size), 34 | "-g", str(gpu_id), 35 | "-j", threads] 36 | print(" ".join(cmd)) 37 | subprocess.run(cmd, cwd=definitions.DAIN_NCNN_VULKAN_LOCATION) 38 | 39 | 40 | def interpolate_folder_mode(input_folder, output_folder, multiplier=DEFAULT_MULTIPLIER, 41 | tile_size=DEFAULT_TILE_SIZE, gpu_id=DEFAULT_GPU_ID, threads=DEFAULT_THREADS, 42 | verbose=False): 43 | """Folder-mode Interpolation""" 44 | # Calculate double input frames as default 45 | target_frames = len(os.listdir(input_folder)) * int(multiplier) 46 | 47 | if os.path.isdir(output_folder): # Delete output_folder if it exists to avoid conflicts 48 | shutil.rmtree(output_folder) 49 | pathlib.Path(output_folder).mkdir(parents=True, exist_ok=True) # Create output_folder 50 | 51 | cmd = [definitions.DAIN_NCNN_VULKAN_BIN, 52 | "-i", os.path.abspath(input_folder), 53 | "-o", os.path.abspath(output_folder), 54 | "-n", str(target_frames), 55 | "-t", str(tile_size), 56 | "-g", str(gpu_id), 57 | "-j", threads, 58 | "-v"] 59 | if verbose is True: 60 | print(" ".join(cmd)) 61 | # subprocess.run(cmd, cwd=definitions.DAIN_NCNN_VULKAN_LOCATION) 62 | with alive_bar(target_frames, enrich_print=False) as bar: 63 | with subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, 64 | cwd=definitions.DAIN_NCNN_VULKAN_LOCATION, bufsize=1, universal_newlines=True) as process: 65 | for line in process.stderr: 66 | if line.startswith("["): # Starting GPU info 67 | print(line, end="") 68 | elif line.endswith("done\n"): # Verbose progress output 69 | bar() 70 | elif line.startswith("invalid tilesize argument"): # Tilesize error 71 | raise ValueError(line.replace("\n", "")) 72 | elif line.startswith(("find_blob_index_by_name", "fopen")): # Model not found error 73 | raise OSError("Model not found: {}".format(line.replace("\n", ""))) 74 | elif line.startswith("vkAllocateMemory failed"): # VRAM memory error 75 | raise RuntimeError("VRAM memory error: {}".format(line.replace("\n", ""))) 76 | elif line.startswith(("vkWaitForFences failed", "vkQueueSubmit failed")): # General vulkan error 77 | raise RuntimeError("Vulkan error: {}".format(line.replace("\n", ""))) 78 | else: 79 | print(line, end="") 80 | -------------------------------------------------------------------------------- /src/definitions.py: -------------------------------------------------------------------------------- 1 | import logging 2 | import os 3 | from pathlib import Path 4 | from platform import system 5 | from shutil import which 6 | 7 | # Project root folder 8 | ROOT_DIR = os.path.abspath(os.path.dirname(__file__)) 9 | 10 | # Default parameters 11 | DEFAULT_FRAME_MULTIPLIER = 2 12 | DEFAULT_INTERPOLATOR_MODE = "static" 13 | DEFAULT_INTERPOLATOR_ENGINE = "dain-ncnn" 14 | DEFAULT_LOOP = False 15 | DEFAULT_VIDEO_TYPE = "mp4" 16 | 17 | # Dain-ncnn-vulkan binary locations 18 | DAIN_NCNN_VULKAN = { 19 | "Windows": os.path.join(ROOT_DIR, "dependencies", "dain-ncnn-vulkan", "dain-ncnn-vulkan.exe"), 20 | "Darwin": os.path.join(ROOT_DIR, "dependencies", "dain-ncnn-vulkan", "dain-ncnn-vulkan-macos"), 21 | "Linux": os.path.join(ROOT_DIR, "dependencies", "dain-ncnn-vulkan", "dain-ncnn-vulkan-ubuntu") 22 | } 23 | DAIN_NCNN_VULKAN_BIN = DAIN_NCNN_VULKAN[system()] 24 | DAIN_NCNN_VULKAN_LOCATION = os.path.dirname(DAIN_NCNN_VULKAN_BIN) 25 | 26 | # Cain-ncnn-vulkan binary locations 27 | CAIN_NCNN_VULKAN = { 28 | "Windows": os.path.join(ROOT_DIR, "dependencies", "cain-ncnn-vulkan", "cain-ncnn-vulkan.exe"), 29 | "Darwin": os.path.join(ROOT_DIR, "dependencies", "cain-ncnn-vulkan", "cain-ncnn-vulkan-macos"), 30 | "Linux": os.path.join(ROOT_DIR, "dependencies", "cain-ncnn-vulkan", "cain-ncnn-vulkan-ubuntu") 31 | } 32 | CAIN_NCNN_VULKAN_BIN = CAIN_NCNN_VULKAN[system()] 33 | CAIN_NCNN_VULKAN_LOCATION = Path(CAIN_NCNN_VULKAN_BIN).parent 34 | 35 | # Rife-ncnn-vulkan binary locations 36 | RIFE_NCNN_VULKAN = { 37 | "Windows": os.path.join(ROOT_DIR, "dependencies", "rife-ncnn-vulkan", "rife-ncnn-vulkan.exe"), 38 | "Darwin": os.path.join(ROOT_DIR, "dependencies", "rife-ncnn-vulkan", "rife-ncnn-vulkan-macos"), 39 | "Linux": os.path.join(ROOT_DIR, "dependencies", "rife-ncnn-vulkan", "rife-ncnn-vulkan-ubuntu") 40 | } 41 | RIFE_NCNN_VULKAN_BIN = RIFE_NCNN_VULKAN[system()] 42 | RIFE_NCNN_VULKAN_LOCATION = Path(RIFE_NCNN_VULKAN_BIN).parent 43 | 44 | # FFmpeg binary locations 45 | FFMPEG = { 46 | "Windows": os.path.join(ROOT_DIR, "dependencies", "ffmpeg", "windows", "ffmpeg.exe"), 47 | "Darwin": os.path.join(ROOT_DIR, "dependencies", "ffmpeg", "macos", "ffmpeg"), 48 | "Linux": os.path.join(ROOT_DIR, "dependencies", "ffmpeg", "linux", "ffmpeg") 49 | } 50 | FFMPEG_BIN = None 51 | if os.path.isfile(FFMPEG[system()]) is True: # Use bundled version first 52 | logging.debug("FFmpeg version: bundled") 53 | FFMPEG_BIN = FFMPEG[system()] 54 | elif os.path.isfile(which("ffmpeg")) is True: # Else use the system version 55 | logging.debug("FFmpeg version: system") 56 | FFMPEG_BIN = os.path.normpath(which("ffmpeg")) 57 | else: 58 | logging.warning("ffmpeg not found") 59 | 60 | # FFprobe binary locations 61 | FFPROBE = { 62 | "Windows": os.path.join(ROOT_DIR, "dependencies", "ffmpeg", "windows", "ffprobe.exe"), 63 | "Darwin": os.path.join(ROOT_DIR, "dependencies", "ffmpeg", "macos", "ffprobe"), 64 | "Linux": os.path.join(ROOT_DIR, "dependencies", "ffmpeg", "linux", "ffprobe") 65 | } 66 | FFPROBE_BIN = None 67 | if os.path.isfile(FFPROBE[system()]) is True: # Use bundled version first 68 | logging.debug("FFprobe version: bundled") 69 | FFPROBE_BIN = FFPROBE[system()] 70 | elif os.path.isfile(which("ffprobe")) is True: # Else use the system version 71 | logging.debug("FFprobe version: system") 72 | FFPROBE_BIN = os.path.normpath(which("ffprobe")) 73 | else: 74 | logging.warning("ffprobe not found") 75 | 76 | # RIFE Model location 77 | RIFE_MODEL = os.path.join(ROOT_DIR, "RIFE", "train_log") 78 | -------------------------------------------------------------------------------- /src/ffmpeg.py: -------------------------------------------------------------------------------- 1 | """ 2 | FFmpeg process wrapper 3 | """ 4 | # Built-in modules 5 | # import logging 6 | import os 7 | import pathlib 8 | import re 9 | import subprocess 10 | # Local modules 11 | import definitions 12 | import ffprobe 13 | # External modules 14 | from alive_progress import alive_bar 15 | 16 | 17 | def extract_frames(input_file, output_folder, verbose=False): 18 | """Extract video frames to a folder 19 | for -vsync: "crf" will use "r_frame_rate", "vfr" will use "avg_frame_rate" 20 | `ffmpeg -i "$i" original_frames/%06d.png` 21 | """ 22 | # TODO add downscaling option 23 | stream_metadata = ffprobe.analyze_video_stream_metadata(input_file) 24 | frame_count = int(stream_metadata["packetCount"]) 25 | vfrBool = (stream_metadata["fpsReal"] != stream_metadata["fpsAverage"]) # Video is cfr when average fps = real fps 26 | 27 | pathlib.Path(output_folder).mkdir(parents=True, exist_ok=True) # Create outputFolder 28 | cmd = [definitions.FFMPEG_BIN, 29 | "-i", input_file, 30 | "-vsync", "cfr", 31 | "-pix_fmt", "rgb24", # Usually defaults to rgba which causes alpha problems 32 | os.path.join(output_folder, "%08d.png")] 33 | if verbose is True: 34 | print(" ".join(cmd)) 35 | # subprocess.run(cmd) 36 | if vfrBool is True: 37 | with subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, 38 | bufsize=1, universal_newlines=True) as process: 39 | for line in process.stderr: 40 | if line.startswith("frame="): 41 | print(line, end="") 42 | else: 43 | with alive_bar(frame_count, enrich_print=False) as bar: 44 | frame_count_processed_last = 0 45 | with subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, 46 | bufsize=1, universal_newlines=True) as process: 47 | for line in process.stderr: 48 | if line.startswith("frame="): 49 | # Parses inbetween "frame=" and "fps=" 50 | frame_count_processed = int(re.findall(r"frame=(.+?)fps=", line)[0]) 51 | bar(incr=(frame_count_processed - frame_count_processed_last)) 52 | frame_count_processed_last = frame_count_processed 53 | elif verbose is True: 54 | print(line, end="") 55 | 56 | 57 | def encode_frames(input_folder, output_file, framerate, verbose=False): 58 | """Encode a folder of sequentially named frames into a video 59 | `ffmpeg -framerate 48 -i interpolated_frames/%06d.png -crf 18 output.mp4` 60 | """ 61 | # TODO add an option for changing quality 62 | frame_count = len(os.listdir(input_folder)) 63 | pathlib.Path(os.path.dirname(output_file)).mkdir(parents=True, exist_ok=True) # Create parent folder of outputFile 64 | cmd = [definitions.FFMPEG_BIN, 65 | "-framerate", str(framerate), 66 | "-i", os.path.join(input_folder, "%08d.png"), 67 | "-crf", "18", 68 | "-y", # Always write file 69 | output_file] 70 | if verbose is True: 71 | print(" ".join(cmd)) 72 | # subprocess.run(cmd) 73 | with alive_bar(frame_count, enrich_print=False) as bar: 74 | frame_count_processed_last = 0 75 | with subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, 76 | bufsize=1, universal_newlines=True) as process: 77 | for line in process.stderr: 78 | if line.startswith("frame="): 79 | # Parses inbetween "frame=" and "fps=" 80 | frame_count_processed = int(re.findall(r"frame=(.+?)fps=", line)[0]) 81 | bar(incr=(frame_count_processed - frame_count_processed_last)) 82 | frame_count_processed_last = frame_count_processed 83 | elif verbose is True: 84 | print(line, end="") 85 | 86 | 87 | def combine_video_audio(video_file, audio_file, output_file): 88 | # ffmpeg -i video.mp4 -i audio.webm -c:v copy -map 0:v:0 -map 1:a:0 output.mp4 89 | cmd = [definitions.FFMPEG_BIN, 90 | "-i", video_file, 91 | "-i", audio_file, 92 | "-c:v", "copy", # Don't reencode video stream 93 | "-map", "0:v:0", 94 | "-map", "1:a:0", 95 | output_file] 96 | subprocess.run(cmd) 97 | -------------------------------------------------------------------------------- /src/ffprobe.py: -------------------------------------------------------------------------------- 1 | """ 2 | FFprobe process wrapper 3 | 4 | - Some videos don't return "duration" and "nb_frames" such as apng 5 | - "nb_read_frames" won't be accurate if the input video is vfr 6 | 7 | http://svn.ffmpeg.org/doxygen/trunk/structAVStream.html 8 | "avg_frame_rate" is "Average framerate" aka: duration/framecount 9 | "r_frame_rate" is "Real base framerate" which is the lowest common framerate of all frames in the video 10 | """ 11 | # Built-in modules 12 | import json 13 | import logging 14 | import subprocess 15 | # Local modules 16 | import definitions 17 | 18 | 19 | def analyze_video_stream_metadata(input_file): 20 | """Analyzes a video's stream and returns it's properties 21 | `ffprobe -show_streams -select_streams v:0 -count_packets -print_format json -loglevel quiet input.mp4` 22 | """ 23 | cmd = [definitions.FFPROBE_BIN, 24 | "-show_streams", 25 | "-select_streams", "v:0", 26 | "-count_packets", 27 | "-print_format", "json", 28 | "-loglevel", "quiet", 29 | input_file] 30 | logging.info(" ".join(cmd)) 31 | output = subprocess.check_output(cmd, universal_newlines=True) 32 | parsed_output = json.loads(output)["streams"][0] 33 | return({ 34 | "fpsReal": parsed_output["r_frame_rate"], 35 | "fpsAverage": parsed_output["avg_frame_rate"], 36 | "packetCount": parsed_output["nb_read_packets"] # Unreliable if video is vfr 37 | }) 38 | 39 | 40 | def analyze_video_frame_metadata(input_file): 41 | """Analyzes a video's frames and returns an array with their individual properities 42 | `ffprobe -show_frames -select_streams v:0 -print_format json -loglevel quiet input.mp4` 43 | """ 44 | cmd = [definitions.FFPROBE_BIN, 45 | "-show_frames", 46 | "-select_streams", "v:0", 47 | "-print_format", "json", 48 | "-loglevel", "quiet", 49 | input_file] 50 | logging.info(" ".join(cmd)) 51 | output = subprocess.check_output(cmd, universal_newlines=True) 52 | parsedOutput = json.loads(output)["frames"] 53 | return parsedOutput 54 | -------------------------------------------------------------------------------- /src/gui_layout.ui: -------------------------------------------------------------------------------- 1 | 2 | 3 | DAINVulkanGUI 4 | 5 | 6 | 7 | 0 8 | 0 9 | 600 10 | 720 11 | 12 | 13 | 14 | DAIN-Vulkan-GUI 15 | 16 | 17 | 18 | 19 | 20 | 21 | 0 22 | 23 | 24 | 25 | Main 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | Input/Output 34 | 35 | 36 | 37 | 38 | 39 | 40 | 0 41 | 0 42 | 43 | 44 | 45 | Output Folder 46 | 47 | 48 | 49 | 50 | 51 | 52 | Input Path 53 | 54 | 55 | true 56 | 57 | 58 | 59 | 60 | 61 | 62 | 63 | 0 64 | 0 65 | 66 | 67 | 68 | 69 | 16777215 70 | 16777215 71 | 72 | 73 | 74 | Input File 75 | 76 | 77 | 78 | 79 | 80 | 81 | Output Path 82 | 83 | 84 | true 85 | 86 | 87 | 88 | 89 | 90 | 91 | Qt::Vertical 92 | 93 | 94 | 95 | 20 96 | 40 97 | 98 | 99 | 100 | 101 | 102 | 103 | 104 | 105 | 106 | 107 | Frame Handling 108 | 109 | 110 | 111 | 112 | 113 | 114 | 115 | 116 | 0 117 | 0 118 | 119 | 120 | 121 | Multiplier 122 | 123 | 124 | 125 | 126 | 127 | 128 | 129 | 2x 130 | 131 | 132 | 133 | 134 | 4x 135 | 136 | 137 | 138 | 139 | 140 | 141 | 142 | 143 | 144 | 145 | 146 | FPS 147 | 148 | 149 | 150 | 151 | 152 | 153 | true 154 | 155 | 156 | 157 | 158 | 159 | 160 | -> 161 | 162 | 163 | 164 | 165 | 166 | 167 | true 168 | 169 | 170 | true 171 | 172 | 173 | 174 | 175 | 176 | 177 | 178 | 179 | 180 | 181 | 182 | 0 183 | 0 184 | 185 | 186 | 187 | Interpolation Mode 188 | 189 | 190 | 191 | 192 | 193 | 194 | 195 | 0 196 | 0 197 | 198 | 199 | 200 | 201 | Static 202 | 203 | 204 | 205 | 206 | Dynamic 207 | 208 | 209 | 210 | 211 | 212 | 213 | 214 | 215 | 216 | Qt::Vertical 217 | 218 | 219 | 220 | 20 221 | 40 222 | 223 | 224 | 225 | 226 | 227 | 228 | 229 | 230 | 231 | 232 | 233 | 0 234 | 0 235 | 236 | 237 | 238 | Interpolator Engine Options 239 | 240 | 241 | 242 | 243 | 244 | Engine 245 | 246 | 247 | 248 | 249 | 250 | 251 | GPU ID 252 | 253 | 254 | 255 | 256 | 257 | 258 | Tile-Size 259 | 260 | 261 | 262 | 263 | 264 | 265 | 266 | dain-ncnn-vulkan 267 | 268 | 269 | 270 | 271 | cain-ncnn-vulkan 272 | 273 | 274 | 275 | 276 | 277 | 278 | 279 | Threads 280 | 281 | 282 | 283 | 284 | 285 | 286 | 256 287 | 288 | 289 | 290 | 291 | 292 | 293 | 1:1:1 294 | 295 | 296 | 297 | 298 | 299 | 300 | auto 301 | 302 | 303 | 304 | 305 | 306 | 307 | Qt::Vertical 308 | 309 | 310 | 311 | 20 312 | 40 313 | 314 | 315 | 316 | 317 | 318 | 319 | 320 | 321 | 322 | 323 | 324 | 325 | 326 | 327 | Input Video Options 328 | 329 | 330 | 331 | 332 | 333 | 334 | 335 | Height 336 | 337 | 338 | 339 | 340 | 341 | 342 | 343 | 344 | 345 | 346 | 347 | Downscale Video 348 | 349 | 350 | 351 | 352 | 353 | 354 | Qt::Vertical 355 | 356 | 357 | 358 | 20 359 | 40 360 | 361 | 362 | 363 | 364 | 365 | 366 | 367 | 368 | 369 | 370 | Output Video Options 371 | 372 | 373 | 374 | 375 | 376 | 377 | 378 | Format 379 | 380 | 381 | 382 | 383 | 384 | 385 | 386 | 0 387 | 0 388 | 389 | 390 | 391 | 392 | mp4 393 | 394 | 395 | 396 | 397 | webm 398 | 399 | 400 | 401 | 402 | mkv 403 | 404 | 405 | 406 | 407 | 408 | 409 | 410 | 411 | 412 | 413 | 414 | Quality (-crf) 415 | 416 | 417 | 418 | 419 | 420 | 421 | Lower value = better quality 422 | 423 | 424 | 425 | 426 | 427 | 18 428 | 429 | 430 | 431 | 432 | 433 | 434 | 435 | 436 | Qt::Vertical 437 | 438 | 439 | 440 | 20 441 | 40 442 | 443 | 444 | 445 | 446 | 447 | 448 | 449 | Audio passthrough 450 | 451 | 452 | 453 | 454 | 455 | 456 | 457 | 458 | 459 | 460 | 461 | 462 | Misc 463 | 464 | 465 | 466 | 467 | 468 | 469 | 470 | 471 | 0 472 | 0 473 | 474 | 475 | 476 | Execute 477 | 478 | 479 | 480 | 481 | 482 | 483 | 484 | 485 | Qt::Horizontal 486 | 487 | 488 | QSizePolicy::MinimumExpanding 489 | 490 | 491 | 492 | 8 493 | 20 494 | 495 | 496 | 497 | 498 | 499 | 500 | 501 | Step 1: Decode video 502 | 503 | 504 | true 505 | 506 | 507 | 508 | 509 | 510 | 511 | Qt::Horizontal 512 | 513 | 514 | 515 | 8 516 | 20 517 | 518 | 519 | 520 | 521 | 522 | 523 | 524 | Step 2: Interpolate frames 525 | 526 | 527 | true 528 | 529 | 530 | 531 | 532 | 533 | 534 | Qt::Horizontal 535 | 536 | 537 | 538 | 8 539 | 20 540 | 541 | 542 | 543 | 544 | 545 | 546 | 547 | Step 3: Encode video 548 | 549 | 550 | true 551 | 552 | 553 | 554 | 555 | 556 | 557 | Qt::Horizontal 558 | 559 | 560 | QSizePolicy::MinimumExpanding 561 | 562 | 563 | 564 | 8 565 | 20 566 | 567 | 568 | 569 | 570 | 571 | 572 | 573 | 574 | 575 | Qt::Vertical 576 | 577 | 578 | QSizePolicy::Fixed 579 | 580 | 581 | 582 | 20 583 | 8 584 | 585 | 586 | 587 | 588 | 589 | 590 | 591 | 592 | 593 | 0 594 | 0 595 | 600 596 | 27 597 | 598 | 599 | 600 | 601 | File 602 | 603 | 604 | 605 | 606 | 607 | Help 608 | 609 | 610 | 611 | 612 | 613 | 614 | 615 | 616 | About 617 | 618 | 619 | 620 | 621 | Exit 622 | 623 | 624 | 625 | 626 | 627 | 628 | -------------------------------------------------------------------------------- /src/image_similarity.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python3 2 | """ 3 | Module for calculating the visual difference 4 | between images via SSIM. This can be used to 5 | detect whether video frames are duplicates. 6 | 7 | Requires: pillow, SSIM-PIL, progress 8 | Optional: pyopencl 9 | """ 10 | # Built-in modules 11 | import logging 12 | import os 13 | import pathlib 14 | # External modules 15 | from PIL import Image 16 | from SSIM_PIL import compare_ssim 17 | from alive_progress import alive_bar 18 | 19 | DEFAULT_USE_GPU = True 20 | DEFAULT_SHOW_PROGRESS = False 21 | 22 | 23 | def calculate_ssim(image0_path, image1_path, use_gpu=True, resize_before_comparison=False): 24 | """Calculates SSIM based on two images""" 25 | # print("Processing:", image0path) 26 | image0 = Image.open(image0_path) 27 | image1 = Image.open(image1_path) 28 | if resize_before_comparison is True: 29 | image0 = image0.resize((512, 512)) 30 | image1 = image1.resize((512, 512)) 31 | return compare_ssim(image0, image1, GPU=use_gpu) 32 | 33 | 34 | def calculate_directory_ssim(directory_path, **kwargs): 35 | """Calculates the SSIM for every image in a directory 36 | based on it and the image that precedes it 37 | """ 38 | # print(os.path.abspath(directoryPath)) 39 | directory_files = [] 40 | for filePath in pathlib.Path(directory_path).glob('**/*'): # List all files in the directory as their absolute path 41 | file_path_absolute = os.path.normpath(filePath.absolute()) 42 | if file_path_absolute.endswith(('.png', '.jpg', '.jpeg', '.webp', '.bmp')): 43 | # Only adds files that have image extensions, fixes problems caused by "Thumbs.db" 44 | directory_files.append(file_path_absolute) 45 | directory_files.sort() 46 | # print(directory_files) 47 | directory_files_ssim = {} 48 | with alive_bar(len(directory_files) - 1, enrich_print=False) as bar: 49 | for i in range(1, len(directory_files)): 50 | file_ssim = calculate_ssim(directory_files[i], directory_files[i - 1], **kwargs) 51 | # print(file_ssim) 52 | directory_files_ssim[directory_files[i]] = file_ssim 53 | bar() 54 | return directory_files_ssim 55 | 56 | 57 | def delete_similar_images(directory_path, threshold, **kwargs): 58 | """Deletes any image that has an SSIM higher then the specified threshold""" 59 | ssimResults = calculate_directory_ssim(directory_path, **kwargs) 60 | for ssimResultsFile in sorted(ssimResults.keys()): 61 | if ssimResults[ssimResultsFile] > float(threshold): 62 | logging.info("Removing: {}".format(ssimResultsFile)) 63 | os.remove(ssimResultsFile) 64 | 65 | 66 | if __name__ == "__main__": 67 | import argparse 68 | parser = argparse.ArgumentParser() 69 | parser.add_argument("-0", "--image0", help="Path of first image") 70 | parser.add_argument("-1", "--image1", help="Path of second image") 71 | parser.add_argument("-f", "--folder", help="Path of directory containing images") 72 | parser.add_argument("--delete-threshold", type=float, help="If specified, deletes duplicate images automatically" 73 | " based on a similarity percentage (Eg. 0.95)") 74 | parser.add_argument("--disable-gpu", action="store_true", help="Force SSIM calculation to use CPU instead of GPU") 75 | args = vars(parser.parse_args()) 76 | useGpu = not args["disable_gpu"] 77 | if not ((args["image0"] and args["image1"]) or args["folder"]): 78 | parser.error('Requires either both --image0 and --image1 or --folder') 79 | 80 | if (args["image0"] is not None) and (args["image1"] is not None): # -image0 and -image1 81 | SSIM = calculate_ssim(args["image0"], args["image1"], use_gpu=useGpu) 82 | print("SSIM: {}".format(SSIM)) # -folder delete mode 83 | elif (args["folder"] is not None) and (args["delete_threshold"] is not None): 84 | delete_similar_images(args["folder"], args["delete_threshold"], use_gpu=useGpu) 85 | elif args["folder"] is not None: # -folder 86 | directorySSIM = calculate_directory_ssim(args["folder"], use_gpu=useGpu) 87 | for file in sorted(directorySSIM.keys()): 88 | print("{}: {}".format(file, directorySSIM[file])) 89 | -------------------------------------------------------------------------------- /src/interpolator.py: -------------------------------------------------------------------------------- 1 | """ 2 | Module for handling interpolation (aka: "step 2") 3 | """ 4 | # Built-in Modules 5 | import os 6 | import pathlib 7 | import shutil 8 | # Local Modules 9 | import dain_ncnn_vulkan 10 | import cain_ncnn_vulkan 11 | import rife_ncnn_vulkan 12 | 13 | DEFAULT_MULTIPLIER = 2 14 | DEFAULT_MULTIPLIER_DYNAMIC = 1 15 | DEFAULT_INTERPOLATOR = "dain-ncnn" 16 | 17 | 18 | def _make_duplicate_frames(input_file, output_folder, output_count): 19 | """ 20 | Copies the input_file a number of time 21 | Useful for creating duplicate frames before a scene change or at the end of a non-looping video 22 | """ 23 | inputFileNumber = int(pathlib.Path(input_file).stem) # Get Filename (without extension) from path 24 | for i in range(output_count): 25 | outputFile = "{:06d}.png".format(inputFileNumber + i + 1) 26 | args = [os.path.join(output_folder, input_file), os.path.join(output_folder, outputFile)] 27 | print("Duplicating:", " -> ".join(args)) 28 | shutil.copyfile(*args) 29 | 30 | 31 | def folder_multiplier_handler(input_folder, output_folder, multiplier, engine, **kwargs): 32 | """ 33 | Achieve interpolation past 2x without using target_frames (which cain/rife lacks) 34 | by interpolating from one folder to the next Eg. First (1x -> 2x) then (2x -> 4x) 35 | Multiplies to a power of 2 36 | """ 37 | folderParent = pathlib.Path(output_folder).parent 38 | multiplierInternal = 1 39 | interpolateFolderFrom = input_folder 40 | interpolateFolderTo = None 41 | if not (multiplier > 1): 42 | raise ValueError("Multiplier must be higher than 1") 43 | else: 44 | if not ((multiplier & (multiplier - 1) == 0) and multiplier != 0): # Check if not a power of 2 45 | raise ValueError("Multiplier must be a power of 2 (2, 4, 8, etc.)") 46 | else: 47 | interpolateOutputFolders = [] 48 | while multiplierInternal < multiplier: 49 | multiplierInternal = multiplierInternal * 2 50 | print("From: \"{}\"".format(interpolateFolderFrom)) 51 | interpolateFolderTo = os.path.join(folderParent, ("interpolate-" + str(multiplierInternal) + "x")) 52 | interpolateOutputFolders.append(interpolateFolderTo) 53 | print("To: \"{}\"".format(interpolateFolderTo)) 54 | if engine == "cain-ncnn": 55 | cain_ncnn_vulkan.interpolate_folder_mode(interpolateFolderFrom, interpolateFolderTo, **kwargs) 56 | elif engine == "rife-ncnn": 57 | rife_ncnn_vulkan.interpolate_folder_mode(interpolateFolderFrom, interpolateFolderTo, **kwargs) 58 | else: 59 | raise ValueError("Invalid Engine") 60 | interpolateFolderFrom = interpolateFolderTo # Set last output folder to input folder for the next loop 61 | print("Renaming \"{}\" to \"{}\"".format(interpolateFolderTo, output_folder)) 62 | if os.path.isdir(output_folder) is True: 63 | print("\"{}\" already exists, deleting".format(output_folder)) 64 | shutil.rmtree(output_folder) 65 | os.rename(interpolateFolderTo, output_folder) 66 | if interpolateOutputFolders[:-1]: 67 | print("Deleting leftover folders:", interpolateOutputFolders[:-1]) 68 | for folder in interpolateOutputFolders[:-1]: 69 | shutil.rmtree(folder) 70 | 71 | 72 | def interpolate_static(input_folder, output_folder, 73 | mulitplier=DEFAULT_MULTIPLIER, interpolator=None, loop=False, **kwargs): 74 | """ 75 | Creates a static number of new frames between the original frames 76 | Eg: 2x = 1 original, 1 interpolated; 3x = 1 original, 2 interpolated 77 | """ 78 | pass 79 | 80 | 81 | def interpolate_dynamic(input_folder, output_folder, original_frame_count, loop=False, **kwargs): 82 | """ 83 | Creates a dynamic number of new frames that depends on the length of time between each original frame 84 | Reads frame position from original file names so removed frames are replaced 85 | Example at 2x: 1.png -> 2.png, 1 interpolated frame inbetween; 1.png -> 3.png, 3 interpolated frames inbetween 86 | ((gap_frames + 1) * multiplier) - 1 = interpolated_frames 87 | """ 88 | def dynamic_internal(image0_filename, image1_filename, custom_frame_difference=None): 89 | shutil.copyfile(os.path.join(input_folder, image0_filename),os.path.join(output_folder, image0_filename)) 90 | image0Number = int(image0_filename.split(".")[0]) 91 | image1Number = int(image1_filename.split(".")[0]) 92 | print("Image0: {}".format(image0_filename)) 93 | print("Image1: {}".format(image1_filename)) 94 | frameDifference = (image1Number - image0Number) if custom_frame_difference is None else custom_frame_difference 95 | inbetweenFrames = frameDifference - 1 96 | print("Inbetween frames: {}".format(inbetweenFrames)) 97 | if inbetweenFrames >= 1: 98 | for n in range(inbetweenFrames): 99 | interpolatedFrameNumber = image0Number + n + 1 100 | interpolatedFrameName = "{:06d}.png".format(interpolatedFrameNumber) 101 | interpolatedFrameTimeStep = (n + 1) / frameDifference 102 | print("Interpolated frame: {} at time-step {}".format(interpolatedFrameName, interpolatedFrameTimeStep)) 103 | dain_ncnn_vulkan.interpolate_file_mode(os.path.join(input_folder, image0_filename), 104 | os.path.join(input_folder, image1_filename), 105 | os.path.join(output_folder, interpolatedFrameName), 106 | time_step=interpolatedFrameTimeStep, 107 | **kwargs) 108 | print("") 109 | 110 | # Create output_folder if it doesn't exist 111 | pathlib.Path(output_folder).mkdir(parents=True, exist_ok=True) 112 | 113 | # Run against all frames except last 114 | inputFolderFiles = sorted(os.listdir(input_folder)) 115 | for i in range(len(inputFolderFiles)-1): 116 | dynamic_internal(inputFolderFiles[i], inputFolderFiles[i+1]) 117 | 118 | # Last frame handling 119 | frameDifferenceToEnd = (original_frame_count - int(inputFolderFiles[-1].split(".")[0]) + 1) 120 | if loop is True: # image1 is first frame 121 | dynamic_internal(inputFolderFiles[-1], inputFolderFiles[0], 122 | custom_frame_difference=frameDifferenceToEnd) 123 | else: # create duplicates til original frame count met 124 | shutil.copyfile(os.path.join(input_folder, inputFolderFiles[-1]), 125 | os.path.join(output_folder, inputFolderFiles[-1])) 126 | _make_duplicate_frames(os.path.join(input_folder, inputFolderFiles[-1]), output_folder, 127 | (frameDifferenceToEnd - 1)) 128 | -------------------------------------------------------------------------------- /src/rife_ncnn_vulkan.py: -------------------------------------------------------------------------------- 1 | """ 2 | rife-ncnn-vulkan process wrapper 3 | 4 | Rife does not support time-step (aka: always set to "0.5") 5 | Neither does it support target-frames for the same reason 6 | """ 7 | # Built-in modules 8 | import os 9 | import pathlib 10 | import shutil 11 | import subprocess 12 | # Local modules 13 | import definitions 14 | # External modules 15 | from alive_progress import alive_bar 16 | 17 | # Interpolation Defaults 18 | DEFAULT_GPU_ID = "auto" 19 | DEFAULT_THREADS = "1:1:1" 20 | 21 | 22 | def interpolate_file_mode(input0_file, input1_file, output_file, 23 | gpu_id=DEFAULT_GPU_ID, threads=DEFAULT_THREADS, **kwargs): 24 | """File-mode Interpolation""" 25 | # Make sure parent folder of output_file exists 26 | pathlib.Path(os.path.dirname(output_file)).mkdir(parents=True, exist_ok=True) 27 | cmd = [definitions.RIFE_NCNN_VULKAN_BIN, 28 | "-0", os.path.abspath(input0_file), 29 | "-1", os.path.abspath(input1_file), 30 | "-o", os.path.abspath(output_file), 31 | "-g", str(gpu_id), 32 | "-j", threads] 33 | print(" ".join(cmd)) 34 | subprocess.run(cmd, cwd=definitions.RIFE_NCNN_VULKAN_LOCATION) 35 | 36 | 37 | def interpolate_folder_mode(input_folder, output_folder, 38 | gpu_id=DEFAULT_GPU_ID, threads=DEFAULT_THREADS, 39 | verbose=False, **kwargs): 40 | """Folder-mode Interpolation""" 41 | target_frames = len(os.listdir(input_folder)) * 2 42 | 43 | if os.path.isdir(output_folder): # Delete output_folder if it exists to avoid conflicts 44 | shutil.rmtree(output_folder) 45 | pathlib.Path(output_folder).mkdir(parents=True, exist_ok=True) # Create output_folder 46 | 47 | cmd = [definitions.RIFE_NCNN_VULKAN_BIN, 48 | "-i", os.path.abspath(input_folder), 49 | "-o", os.path.abspath(output_folder), 50 | "-g", str(gpu_id), 51 | "-j", threads, 52 | "-v"] 53 | if verbose is True: 54 | print(" ".join(cmd)) 55 | # subprocess.run(cmd, cwd=definitions.RIFE_NCNN_VULKAN_LOCATION) 56 | with alive_bar(target_frames, enrich_print=False) as bar: 57 | with subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, 58 | cwd=definitions.RIFE_NCNN_VULKAN_LOCATION, bufsize=1, universal_newlines=True) as process: 59 | for line in process.stderr: 60 | if line.startswith("["): # Starting GPU info 61 | print(line, end="") 62 | elif line.endswith("done\n"): # Verbose progress output 63 | bar() 64 | elif line.startswith(("find_blob_index_by_name", "fopen")): # Model not found error 65 | raise OSError("Model not found: {}".format(line.replace("\n", ""))) 66 | elif line.startswith("vkAllocateMemory failed"): # VRAM memory error 67 | raise RuntimeError("VRAM memory error: {}".format(line.replace("\n", ""))) 68 | elif line.startswith(("vkWaitForFences failed", "vkQueueSubmit failed")): # General vulkan error 69 | raise RuntimeError("Vulkan error: {}".format(line.replace("\n", ""))) 70 | else: 71 | print(line, end="") 72 | -------------------------------------------------------------------------------- /src/rife_pytorch.py: -------------------------------------------------------------------------------- 1 | """ 2 | RIFE PyTorch implementation 3 | """ 4 | # Built-in modules 5 | # import numpy 6 | import os 7 | import pathlib 8 | import shutil 9 | import warnings 10 | # Local modules 11 | import definitions 12 | import RIFE.model.RIFE as RIFE # import from submodule 13 | # External modules 14 | from alive_progress import alive_bar 15 | import cv2 16 | import torch 17 | from torch.nn import functional 18 | 19 | DEFAULT_MULTIPLIER = 2 20 | 21 | # Init device and model on import 22 | if torch.cuda.is_available(): 23 | print("RIFE: Using PyTorch CUDA backend") 24 | pytorch_device = torch.device("cuda") 25 | torch.set_grad_enabled(False) 26 | torch.backends.cudnn.enabled = True 27 | torch.backends.cudnn.benchmark = True 28 | else: 29 | print("RIFE: Using PyTorch CPU backend") 30 | pytorch_device = torch.device("cpu") 31 | 32 | rife_model = RIFE.Model() 33 | rife_model.load_model(definitions.RIFE_MODEL) 34 | rife_model.eval() 35 | rife_model.device() 36 | 37 | warnings.filterwarnings("ignore") # Supress console warnings 38 | 39 | 40 | def _read_image_dimensions(image_path): 41 | image = cv2.imread(image_path) 42 | image = (torch.tensor(image.transpose(2, 0, 1)).to(pytorch_device) / 255.).unsqueeze(0) 43 | n, c, height, width = image.shape 44 | return [height, width] 45 | 46 | 47 | def _read_image(image_path): 48 | image = cv2.imread(image_path) 49 | image = (torch.tensor(image.transpose(2, 0, 1)).to(pytorch_device) / 255.).unsqueeze(0) 50 | n, c, height, width = image.shape 51 | padding_height = ((height - 1) // 32 + 1) * 32 52 | padding_width = ((width - 1) // 32 + 1) * 32 53 | padding = (0, padding_width - width, 0, padding_height - height) 54 | image = functional.pad(image, padding) 55 | return image 56 | 57 | 58 | # def _write_image(): 59 | # pass 60 | 61 | 62 | def interpolate_file_mode(input0_file, input1_file, output_file): 63 | height, width = _read_image_dimensions(input0_file) 64 | image0 = _read_image(input0_file) 65 | image1 = _read_image(input1_file) 66 | 67 | output = rife_model.inference(image0, image1) # Interpolation 68 | 69 | pathlib.Path(os.path.dirname(output_file)).mkdir(parents=True, exist_ok=True) # Create output_folder 70 | 71 | cv2.imwrite(output_file, 72 | (output[0] * 255).byte().cpu().numpy().transpose(1, 2, 0)[:height, :width]) # Write to output 73 | 74 | 75 | def interpolate_folder_mode(input_folder, output_folder, multiplier=DEFAULT_MULTIPLIER): 76 | # TODO srite images during interpolation to avoid disk write bottleneck at end 77 | # List images in folder 78 | input_files_path = [] 79 | for filePath in pathlib.Path(input_folder).glob('**/*'): # List all files in the directory as their absolute path 80 | file_path_absolute = os.path.normpath(filePath.absolute()) 81 | if file_path_absolute.endswith(('.png', '.jpg', '.jpeg', '.webp', '.bmp')): 82 | # Only adds files that have image extensions, fixes problems caused by "Thumbs.db" 83 | input_files_path.append(file_path_absolute) 84 | input_files_path.sort() 85 | 86 | # Read frame dimensions from first frame 87 | height, width = _read_image_dimensions(input_files_path[0]) 88 | 89 | # Read files 90 | input_files = [] 91 | for i in range(len(input_files_path)): 92 | # print(i) 93 | input_files.append(_read_image(input_files_path[i])) 94 | 95 | # Interpolate 96 | multiplier_internal = 1 97 | while multiplier_internal < multiplier: 98 | multiplier_internal = multiplier_internal * 2 99 | print("Interpolating to {}x:".format(multiplier_internal)) 100 | with alive_bar(len(input_files) * 2, enrich_print=False) as bar: 101 | output_files = [] 102 | for j in range(len(input_files) - 1): 103 | # print(input_files_path[j], input_files_path[j + 1]) 104 | mid = rife_model.inference(input_files[j], input_files[j + 1]) 105 | output_files.append(input_files[j]) 106 | bar() 107 | output_files.append(mid) 108 | bar() 109 | for _ in range(2): # Duplicate last frame twice 110 | output_files.append(input_files[-1]) 111 | bar() 112 | if multiplier_internal < multiplier: 113 | input_files = output_files 114 | 115 | if os.path.isdir(output_folder): # Delete output_folder if it exists to avoid conflicts 116 | shutil.rmtree(output_folder) 117 | pathlib.Path(output_folder).mkdir(parents=True, exist_ok=True) # Create output_folder 118 | for i in range(len(output_files)): 119 | cv2.imwrite(os.path.join(output_folder, "{:06d}.png".format(i + 1)), 120 | (output_files[i][0] * 255).byte().cpu().numpy().transpose(1, 2, 0)[:height, :width]) 121 | -------------------------------------------------------------------------------- /src/video_extract.py: -------------------------------------------------------------------------------- 1 | """ 2 | Module for handling video frame extraction (aka: "step 1") 3 | """ 4 | # Built-in modules 5 | import pathlib 6 | # External modules 7 | from PIL import Image 8 | 9 | 10 | def png_remove_alpha_channel(file_path): 11 | png = Image.open(file_path).convert("RGBA") 12 | background = Image.new("RGBA", png.size, (255, 255, 255)) # White background created 13 | alpha_composite = Image.alpha_composite(background, png) # Transparent png put on background 14 | alpha_composite.convert("RGB").save(file_path) 15 | 16 | 17 | def png_directory_remove_alpha_channel(directory_path): 18 | """Converts all .png files in a folder to be alpha-less""" 19 | for i in pathlib.Path(directory_path).glob('**/*.png'): 20 | png_remove_alpha_channel(i.absolute()) 21 | --------------------------------------------------------------------------------