6587d2def1
* Simplify bbox access * Code cleanup * Simplify bbox access * Move code to face helper * Swap and paste back without insightface * Swap and paste back without insightface * Remove semaphore where possible * Improve paste back performance * Cosmetic changes * Move the predictor to ONNX to avoid tensorflow, Use video ranges for prediction * Make CI happy * Move template and size to the options * Fix different color on box * Uniform model handling for predictor * Uniform frame handling for predictor * Pass kps direct to warp_face * Fix urllib * Analyse based on matches * Analyse based on rate * Fix CI * ROCM and OpenVINO mapping for torch backends * Fix the paste back speed * Fix import * Replace retinaface with yunet (#168) * Remove insightface dependency * Fix urllib * Some fixes * Analyse based on matches * Analyse based on rate * Fix CI * Migrate to Yunet * Something is off here * We indeed need semaphore for yunet * Normalize the normed_embedding * Fix download of models * Fix download of models * Fix download of models * Add score and improve affine_matrix * Temp fix for bbox out of frame * Temp fix for bbox out of frame * ROCM and OpenVINO mapping for torch backends * Normalize bbox * Implement gender age * Cosmetics on cli args * Prevent face jumping * Fix the paste back speed * FIx import * Introduce detection size * Cosmetics on face analyser ARGS and globals * Temp fix for shaking face * Accurate event handling * Accurate event handling * Accurate event handling * Set the reference_frame_number in face_selector component * Simswap model (#171) * Add simswap models * Add ghost models * Introduce normed template * Conditional prepare and normalize for ghost * Conditional prepare and normalize for ghost * Get simswap working * Get simswap working * Fix refresh of swapper model * Refine face selection and detection (#174) * Refine face selection and detection * Update README.md * Fix some face analyser UI * Fix some face analyser UI * Introduce range handling for CLI arguments * Introduce range handling for CLI arguments * Fix some spacings * Disable onnxruntime warnings * Use cv2.blur over cv2.GaussianBlur for better performance * Revert "Use cv2.blur over cv2.GaussianBlur for better performance" This reverts commit bab666d6f9216a9f24faa84ead2d006b76f30159. * Prepare universal face detection * Prepare universal face detection part2 * Reimplement retinaface * Introduce cached anchors creation * Restore filtering to enhance performance * Minor changes * Minor changes * More code but easier to understand * Minor changes * Rename predictor to content analyser * Change detection/recognition to detector/recognizer * Fix crop frame borders * Fix spacing * Allow normalize output without a source * Improve conditional set face reference * Update dependencies * Add timeout for get_download_size * Fix performance due disorder * Move models to assets repository, Adjust namings * Refactor face analyser * Rename models once again * Fix spacing * Highres simswap (#192) * Introduce highres simswap * Fix simswap 256 color issue (#191) * Fix simswap 256 color issue * Update face_swapper.py * Normalize models and host in our repo * Normalize models and host in our repo --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> * Rename face analyser direction to face analyser order * Improve the UI for face selector * Add best-worst, worst-best detector ordering * Clear as needed and fix zero score bug * Fix linter * Improve startup time by multi thread remote download size * Just some cosmetics * Normalize swagger source input, Add blendface_256 (unfinished) * New paste back (#195) * add new paste_back (#194) * add new paste_back * Update face_helper.py * Update face_helper.py * add commandline arguments and gui * fix conflict * Update face_mask.py * type fix * Clean some wording and typing --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> * Clean more names, use blur range approach * Add blur padding range * Change the padding order * Fix yunet filename * Introduce face debugger * Use percent for mask padding * Ignore this * Ignore this * Simplify debugger output * implement blendface (#198) * Clean up after the genius * Add gpen_bfr_256 * Cosmetics * Ignore face_mask_padding on face enhancer * Update face_debugger.py (#202) * Shrink debug_face() to a minimum * Mark as 2.0.0 release * remove unused (#204) * Apply NMS (#205) * Apply NMS * Apply NMS part2 * Fix restoreformer url * Add debugger cli and gui components (#206) * Add debugger cli and gui components * update * Polishing the types * Fix usage in README.md * Update onnxruntime * Support for webp * Rename paste-back to face-mask * Add license to README * Add license to README * Extend face selector mode by one * Update utilities.py (#212) * Stop inline camera on stream * Minor webcam updates * Gracefully start and stop webcam * Rename capture to video_capture * Make get webcam capture pure * Check webcam to not be None * Remove some is not None * Use index 0 for webcam * Remove memory lookup within progress bar * Less progress bar updates * Uniform progress bar * Use classic progress bar * Fix image and video validation * Use different hash for cache * Use best-worse order for webcam * Normalize padding like CSS * Update preview * Fix max memory * Move disclaimer and license to the docs * Update wording in README * Add LICENSE.md * Fix argument in README --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> Co-authored-by: alex00ds <31631959+alex00ds@users.noreply.github.com>
99 lines
7.6 KiB
Markdown
99 lines
7.6 KiB
Markdown
FaceFusion
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==========
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> Next generation face swapper and enhancer.
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[](https://github.com/facefusion/facefusion/actions?query=workflow:ci)
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Preview
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-------
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Installation
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------------
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Be aware, the installation needs technical skills and is not for beginners. Please do not open platform and installation related issues on GitHub. We have a very helpful [Discord](https://join.facefusion.io) community that will guide you to complete the installation.
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Get started with the [installation](https://docs.facefusion.io/installation) guide.
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Usage
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-----
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Run the command:
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```
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python run.py [options]
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options:
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-h, --help show this help message and exit
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-s SOURCE_PATH, --source SOURCE_PATH select a source image
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-t TARGET_PATH, --target TARGET_PATH select a target image or video
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-o OUTPUT_PATH, --output OUTPUT_PATH specify the output file or directory
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-v, --version show program's version number and exit
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misc:
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--skip-download omit automate downloads and lookups
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--headless run the program in headless mode
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execution:
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--execution-providers {cpu} [{cpu} ...] choose from the available execution providers
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--execution-thread-count [1-128] specify the number of execution threads
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--execution-queue-count [1-32] specify the number of execution queries
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--max-memory [0-128] specify the maximum amount of ram to be used (in gb)
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face analyser:
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--face-analyser-order {left-right,right-left,top-bottom,bottom-top,small-large,large-small,best-worst,worst-best} specify the order used for the face analyser
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--face-analyser-age {child,teen,adult,senior} specify the age used for the face analyser
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--face-analyser-gender {male,female} specify the gender used for the face analyser
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--face-detector-model {retinaface,yunet} specify the model used for the face detector
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--face-detector-size {160x160,320x320,480x480,512x512,640x640,768x768,960x960,1024x1024} specify the size threshold used for the face detector
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--face-detector-score [0.0-1.0] specify the score threshold used for the face detector
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face selector:
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--face-selector-mode {reference,one,many} specify the mode for the face selector
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--reference-face-position REFERENCE_FACE_POSITION specify the position of the reference face
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--reference-face-distance [0.0-1.5] specify the distance between the reference face and the target face
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--reference-frame-number REFERENCE_FRAME_NUMBER specify the number of the reference frame
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face mask:
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--face-mask-blur [0.0-1.0] specify the blur amount for face mask
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--face-mask-padding FACE_MASK_PADDING [FACE_MASK_PADDING ...] specify the face mask padding (top, right, bottom, left) in percent
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frame extraction:
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--trim-frame-start TRIM_FRAME_START specify the start frame for extraction
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--trim-frame-end TRIM_FRAME_END specify the end frame for extraction
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--temp-frame-format {jpg,png} specify the image format used for frame extraction
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--temp-frame-quality [0-100] specify the image quality used for frame extraction
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--keep-temp retain temporary frames after processing
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output creation:
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--output-image-quality [0-100] specify the quality used for the output image
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--output-video-encoder {libx264,libx265,libvpx-vp9,h264_nvenc,hevc_nvenc} specify the encoder used for the output video
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--output-video-quality [0-100] specify the quality used for the output video
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--keep-fps preserve the frames per second (fps) of the target
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--skip-audio omit audio from the target
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frame processors:
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--frame-processors FRAME_PROCESSORS [FRAME_PROCESSORS ...] choose from the available frame processors (choices: face_debugger, face_enhancer, face_swapper, frame_enhancer, ...)
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--face-debugger-items {bbox,kps,face-mask,score} [{bbox,kps,face-mask,score} ...] specify the face debugger items
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--face-enhancer-model {codeformer,gfpgan_1.2,gfpgan_1.3,gfpgan_1.4,gpen_bfr_256,gpen_bfr_512,restoreformer} choose the model for the frame processor
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--face-enhancer-blend [0-100] specify the blend factor for the frame processor
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--face-swapper-model {blendface_256,inswapper_128,inswapper_128_fp16,simswap_256,simswap_512_unofficial} choose the model for the frame processor
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--frame-enhancer-model {real_esrgan_x2plus,real_esrgan_x4plus,real_esrnet_x4plus} choose the model for the frame processor
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--frame-enhancer-blend [0-100] specify the blend factor for the frame processor
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uis:
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--ui-layouts UI_LAYOUTS [UI_LAYOUTS ...] choose from the available ui layouts (choices: benchmark, webcam, default, ...)
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```
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Documentation
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-------------
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Read the [documentation](https://docs.facefusion.io) for a deep dive.
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