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2023-08-19 22:42:25 +02:00
FaceFusion
==========
> Next generation face swapper and enhancer.
2023-08-20 00:59:01 +02:00
[![Build Status](https://img.shields.io/github/actions/workflow/status/facefusion/facefusion/ci.yml.svg?branch=master)](https://github.com/facefusion/facefusion/actions?query=workflow:ci)
![License](https://img.shields.io/badge/license-MIT-green)
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Preview
-------
![Preview](https://raw.githubusercontent.com/facefusion/facefusion/master/.github/preview.png?sanitize=true)
Installation
------------
Next (#216) * 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>
2023-11-28 17:29:24 +01:00
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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Next (#216) * 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>
2023-11-28 17:29:24 +01:00
Get started with the [installation](https://docs.facefusion.io/installation) guide.
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Usage
-----
Run the command:
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```
python run.py [options]
Next (#144) * Improve typing for our callbacks * Return 0 for get_download_size * Introduce ONNX powered face enhancer * Introduce ONNX powered face enhancer * Introduce ONNX powered face enhancer * Remove tile processing from frame enhancer * Fix video compress translation for libvpx-vp9 * Allow zero values for video compression * Develop (#134) * Introduce model options to the frame processors * Finish UI to select frame processors models * Simplify frame processors options * Fix lint in CI * Rename all kind of settings to options * Add blend to enhancers * Simplify webcam mode naming * Bypass SSL issues under Windows * Fix blend of frame enhancer * Massive CLI refactoring, Register and apply ARGS via the frame processors * Refine UI theme and introduce donate button * Update dependencies and fix cpu only torch * Update dependencies and fix cpu only torch * Fix theme, Fix frame_processors in headless mode * Remove useless astype * Disable CoreML for the ONNX face enhancer * Disable CoreML for the ONNX face enhancer * Predict webcam too * Improve resize of preview * Change output quality defaults, Move options to the right * Support for codeformer model * Update the typo * Add GPEN and GFPGAN 1.2 * Extract blend_frame methods * Extend the installer * Revert broken Gradio * Rework on ui components * Move output path selector to the output options * Remove tons of pointless component updates * Reset more base theme styling * Use latest Gradio * Fix the sliders * More styles * Update torch to 2.1.0 * Add RealESRNet_x4plus * Fix that button * Use latest onnxruntime-silicon * Looks stable to me * Lowercase model keys, Update preview and readme
2023-10-09 10:16:13 +02:00
options:
Next (#216) * 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>
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-h, --help show this help message and exit
2.1.0 (#253) * Operating system specific installer options * Update dependencies * Sorting before NMS according to the standard * Minor typing fix * Change the wording * Update preview.py (#222) Added a release listener to the preview frame slider, this will update the frame preview with the latest frame * Combine preview slider listener * Remove change listener * Introduce multi source (#223) * Implement multi source * Adjust face enhancer and face debugger to multi source * Implement multi source to UI * Implement multi source to UI part2 * Implement multi source to UI part3 * Implement multi source to UI part4 * Some cleanup * Add face occluder (#225) (#226) * Add face occluder (#225) * add face-occluder (commandline only) * review 1 * Update face_masker.py * Update face_masker.py * Add gui & fix typing * Minor naming cleanup * Minor naming cleanup part2 --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> * Update usage information * Fix averaged normed_embedding * Remove blur from face occluder, enable accelerators * Switch to RANSAC with 100 threshold * Update face_enhancer.py (#229) * Update face_debugger.py (#230) * Split utilities (#232) * Split utilities * Split utilities part2 * Split utilities part3 * Split utilities part4 * Some cleanup * Implement log level support (#233) * Implement log level support * Fix testing * Implement debug logger * Implement debug logger * Fix alignment offset (#235) * Update face_helper.py * fix 2 * Enforce virtual environment via installer * Enforce virtual environment via installer * Enforce virtual environment via installer * Enforce virtual environment via installer * Feat/multi process reference faces (#239) * Multi processing aware reference faces * First clean up and joining of files * Finalize the face store * Reduce similar face detection to one set, use __name__ for scopes in logger * Rename to face_occluder * Introduce ModelSet type * Improve webcam error handling * Prevent null pointer on is_image() and is_video() * Prevent null pointer on is_image() and is_video() * Fix find similar faces * Fix find similar faces * Fix process_images for face enhancer * Bunch of minor improvements * onnxruntime for ROCM under linux * Improve mask related naming * Fix falsy import * Fix typo * Feat/face parser refactoring (#247) * Face parser update (#244) * face-parser * Update face_masker.py * update debugger * Update globals.py * Update face_masker.py * Refactor code to split occlusion from region * fix (#246) * fix * fix debugger resolution * flip input to horizontal * Clean up UI * Reduce the regions to inside face only * Reduce the regions to inside face only --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> * Fix enhancer, remove useless dest in add_argument() * Prevent unselect of the face_mask_regions via UI * Prepare next release * Shorten arguments that have choices and nargs * Add missing clear to face debugger --------- Co-authored-by: Mathias <github@feroc.de> Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com>
2023-12-20 00:00:32 +01:00
-s SOURCE_PATHS, --source SOURCE_PATHS select a source image
Next (#216) * 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>
2023-11-28 17:29:24 +01:00
-t TARGET_PATH, --target TARGET_PATH select a target image or video
-o OUTPUT_PATH, --output OUTPUT_PATH specify the output file or directory
-v, --version show program's version number and exit
Next (#144) * Improve typing for our callbacks * Return 0 for get_download_size * Introduce ONNX powered face enhancer * Introduce ONNX powered face enhancer * Introduce ONNX powered face enhancer * Remove tile processing from frame enhancer * Fix video compress translation for libvpx-vp9 * Allow zero values for video compression * Develop (#134) * Introduce model options to the frame processors * Finish UI to select frame processors models * Simplify frame processors options * Fix lint in CI * Rename all kind of settings to options * Add blend to enhancers * Simplify webcam mode naming * Bypass SSL issues under Windows * Fix blend of frame enhancer * Massive CLI refactoring, Register and apply ARGS via the frame processors * Refine UI theme and introduce donate button * Update dependencies and fix cpu only torch * Update dependencies and fix cpu only torch * Fix theme, Fix frame_processors in headless mode * Remove useless astype * Disable CoreML for the ONNX face enhancer * Disable CoreML for the ONNX face enhancer * Predict webcam too * Improve resize of preview * Change output quality defaults, Move options to the right * Support for codeformer model * Update the typo * Add GPEN and GFPGAN 1.2 * Extract blend_frame methods * Extend the installer * Revert broken Gradio * Rework on ui components * Move output path selector to the output options * Remove tons of pointless component updates * Reset more base theme styling * Use latest Gradio * Fix the sliders * More styles * Update torch to 2.1.0 * Add RealESRNet_x4plus * Fix that button * Use latest onnxruntime-silicon * Looks stable to me * Lowercase model keys, Update preview and readme
2023-10-09 10:16:13 +02:00
misc:
Next (#216) * 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>
2023-11-28 17:29:24 +01:00
--skip-download omit automate downloads and lookups
--headless run the program in headless mode
2.1.0 (#253) * Operating system specific installer options * Update dependencies * Sorting before NMS according to the standard * Minor typing fix * Change the wording * Update preview.py (#222) Added a release listener to the preview frame slider, this will update the frame preview with the latest frame * Combine preview slider listener * Remove change listener * Introduce multi source (#223) * Implement multi source * Adjust face enhancer and face debugger to multi source * Implement multi source to UI * Implement multi source to UI part2 * Implement multi source to UI part3 * Implement multi source to UI part4 * Some cleanup * Add face occluder (#225) (#226) * Add face occluder (#225) * add face-occluder (commandline only) * review 1 * Update face_masker.py * Update face_masker.py * Add gui & fix typing * Minor naming cleanup * Minor naming cleanup part2 --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> * Update usage information * Fix averaged normed_embedding * Remove blur from face occluder, enable accelerators * Switch to RANSAC with 100 threshold * Update face_enhancer.py (#229) * Update face_debugger.py (#230) * Split utilities (#232) * Split utilities * Split utilities part2 * Split utilities part3 * Split utilities part4 * Some cleanup * Implement log level support (#233) * Implement log level support * Fix testing * Implement debug logger * Implement debug logger * Fix alignment offset (#235) * Update face_helper.py * fix 2 * Enforce virtual environment via installer * Enforce virtual environment via installer * Enforce virtual environment via installer * Enforce virtual environment via installer * Feat/multi process reference faces (#239) * Multi processing aware reference faces * First clean up and joining of files * Finalize the face store * Reduce similar face detection to one set, use __name__ for scopes in logger * Rename to face_occluder * Introduce ModelSet type * Improve webcam error handling * Prevent null pointer on is_image() and is_video() * Prevent null pointer on is_image() and is_video() * Fix find similar faces * Fix find similar faces * Fix process_images for face enhancer * Bunch of minor improvements * onnxruntime for ROCM under linux * Improve mask related naming * Fix falsy import * Fix typo * Feat/face parser refactoring (#247) * Face parser update (#244) * face-parser * Update face_masker.py * update debugger * Update globals.py * Update face_masker.py * Refactor code to split occlusion from region * fix (#246) * fix * fix debugger resolution * flip input to horizontal * Clean up UI * Reduce the regions to inside face only * Reduce the regions to inside face only --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> * Fix enhancer, remove useless dest in add_argument() * Prevent unselect of the face_mask_regions via UI * Prepare next release * Shorten arguments that have choices and nargs * Add missing clear to face debugger --------- Co-authored-by: Mathias <github@feroc.de> Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com>
2023-12-20 00:00:32 +01:00
--log-level {error,warn,info,debug} choose from the available log levels
Next (#144) * Improve typing for our callbacks * Return 0 for get_download_size * Introduce ONNX powered face enhancer * Introduce ONNX powered face enhancer * Introduce ONNX powered face enhancer * Remove tile processing from frame enhancer * Fix video compress translation for libvpx-vp9 * Allow zero values for video compression * Develop (#134) * Introduce model options to the frame processors * Finish UI to select frame processors models * Simplify frame processors options * Fix lint in CI * Rename all kind of settings to options * Add blend to enhancers * Simplify webcam mode naming * Bypass SSL issues under Windows * Fix blend of frame enhancer * Massive CLI refactoring, Register and apply ARGS via the frame processors * Refine UI theme and introduce donate button * Update dependencies and fix cpu only torch * Update dependencies and fix cpu only torch * Fix theme, Fix frame_processors in headless mode * Remove useless astype * Disable CoreML for the ONNX face enhancer * Disable CoreML for the ONNX face enhancer * Predict webcam too * Improve resize of preview * Change output quality defaults, Move options to the right * Support for codeformer model * Update the typo * Add GPEN and GFPGAN 1.2 * Extract blend_frame methods * Extend the installer * Revert broken Gradio * Rework on ui components * Move output path selector to the output options * Remove tons of pointless component updates * Reset more base theme styling * Use latest Gradio * Fix the sliders * More styles * Update torch to 2.1.0 * Add RealESRNet_x4plus * Fix that button * Use latest onnxruntime-silicon * Looks stable to me * Lowercase model keys, Update preview and readme
2023-10-09 10:16:13 +02:00
execution:
2.1.0 (#253) * Operating system specific installer options * Update dependencies * Sorting before NMS according to the standard * Minor typing fix * Change the wording * Update preview.py (#222) Added a release listener to the preview frame slider, this will update the frame preview with the latest frame * Combine preview slider listener * Remove change listener * Introduce multi source (#223) * Implement multi source * Adjust face enhancer and face debugger to multi source * Implement multi source to UI * Implement multi source to UI part2 * Implement multi source to UI part3 * Implement multi source to UI part4 * Some cleanup * Add face occluder (#225) (#226) * Add face occluder (#225) * add face-occluder (commandline only) * review 1 * Update face_masker.py * Update face_masker.py * Add gui & fix typing * Minor naming cleanup * Minor naming cleanup part2 --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> * Update usage information * Fix averaged normed_embedding * Remove blur from face occluder, enable accelerators * Switch to RANSAC with 100 threshold * Update face_enhancer.py (#229) * Update face_debugger.py (#230) * Split utilities (#232) * Split utilities * Split utilities part2 * Split utilities part3 * Split utilities part4 * Some cleanup * Implement log level support (#233) * Implement log level support * Fix testing * Implement debug logger * Implement debug logger * Fix alignment offset (#235) * Update face_helper.py * fix 2 * Enforce virtual environment via installer * Enforce virtual environment via installer * Enforce virtual environment via installer * Enforce virtual environment via installer * Feat/multi process reference faces (#239) * Multi processing aware reference faces * First clean up and joining of files * Finalize the face store * Reduce similar face detection to one set, use __name__ for scopes in logger * Rename to face_occluder * Introduce ModelSet type * Improve webcam error handling * Prevent null pointer on is_image() and is_video() * Prevent null pointer on is_image() and is_video() * Fix find similar faces * Fix find similar faces * Fix process_images for face enhancer * Bunch of minor improvements * onnxruntime for ROCM under linux * Improve mask related naming * Fix falsy import * Fix typo * Feat/face parser refactoring (#247) * Face parser update (#244) * face-parser * Update face_masker.py * update debugger * Update globals.py * Update face_masker.py * Refactor code to split occlusion from region * fix (#246) * fix * fix debugger resolution * flip input to horizontal * Clean up UI * Reduce the regions to inside face only * Reduce the regions to inside face only --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> * Fix enhancer, remove useless dest in add_argument() * Prevent unselect of the face_mask_regions via UI * Prepare next release * Shorten arguments that have choices and nargs * Add missing clear to face debugger --------- Co-authored-by: Mathias <github@feroc.de> Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com>
2023-12-20 00:00:32 +01:00
--execution-providers EXECUTION_PROVIDERS [EXECUTION_PROVIDERS ...] choose from the available execution providers (choices: cpu, ...)
Next (#216) * 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>
2023-11-28 17:29:24 +01:00
--execution-thread-count [1-128] specify the number of execution threads
--execution-queue-count [1-32] specify the number of execution queries
--max-memory [0-128] specify the maximum amount of ram to be used (in gb)
face analyser:
--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
--face-analyser-age {child,teen,adult,senior} specify the age used for the face analyser
--face-analyser-gender {male,female} specify the gender used for the face analyser
--face-detector-model {retinaface,yunet} specify the model used for the face detector
--face-detector-size {160x160,320x320,480x480,512x512,640x640,768x768,960x960,1024x1024} specify the size threshold used for the face detector
--face-detector-score [0.0-1.0] specify the score threshold used for the face detector
face selector:
--face-selector-mode {reference,one,many} specify the mode for the face selector
--reference-face-position REFERENCE_FACE_POSITION specify the position of the reference face
--reference-face-distance [0.0-1.5] specify the distance between the reference face and the target face
--reference-frame-number REFERENCE_FRAME_NUMBER specify the number of the reference frame
face mask:
2.1.0 (#253) * Operating system specific installer options * Update dependencies * Sorting before NMS according to the standard * Minor typing fix * Change the wording * Update preview.py (#222) Added a release listener to the preview frame slider, this will update the frame preview with the latest frame * Combine preview slider listener * Remove change listener * Introduce multi source (#223) * Implement multi source * Adjust face enhancer and face debugger to multi source * Implement multi source to UI * Implement multi source to UI part2 * Implement multi source to UI part3 * Implement multi source to UI part4 * Some cleanup * Add face occluder (#225) (#226) * Add face occluder (#225) * add face-occluder (commandline only) * review 1 * Update face_masker.py * Update face_masker.py * Add gui & fix typing * Minor naming cleanup * Minor naming cleanup part2 --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> * Update usage information * Fix averaged normed_embedding * Remove blur from face occluder, enable accelerators * Switch to RANSAC with 100 threshold * Update face_enhancer.py (#229) * Update face_debugger.py (#230) * Split utilities (#232) * Split utilities * Split utilities part2 * Split utilities part3 * Split utilities part4 * Some cleanup * Implement log level support (#233) * Implement log level support * Fix testing * Implement debug logger * Implement debug logger * Fix alignment offset (#235) * Update face_helper.py * fix 2 * Enforce virtual environment via installer * Enforce virtual environment via installer * Enforce virtual environment via installer * Enforce virtual environment via installer * Feat/multi process reference faces (#239) * Multi processing aware reference faces * First clean up and joining of files * Finalize the face store * Reduce similar face detection to one set, use __name__ for scopes in logger * Rename to face_occluder * Introduce ModelSet type * Improve webcam error handling * Prevent null pointer on is_image() and is_video() * Prevent null pointer on is_image() and is_video() * Fix find similar faces * Fix find similar faces * Fix process_images for face enhancer * Bunch of minor improvements * onnxruntime for ROCM under linux * Improve mask related naming * Fix falsy import * Fix typo * Feat/face parser refactoring (#247) * Face parser update (#244) * face-parser * Update face_masker.py * update debugger * Update globals.py * Update face_masker.py * Refactor code to split occlusion from region * fix (#246) * fix * fix debugger resolution * flip input to horizontal * Clean up UI * Reduce the regions to inside face only * Reduce the regions to inside face only --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> * Fix enhancer, remove useless dest in add_argument() * Prevent unselect of the face_mask_regions via UI * Prepare next release * Shorten arguments that have choices and nargs * Add missing clear to face debugger --------- Co-authored-by: Mathias <github@feroc.de> Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com>
2023-12-20 00:00:32 +01:00
--face-mask-types FACE_MASK_TYPES [FACE_MASK_TYPES ...] choose from the available face mask types (choices: box, occlusion, region)
Next (#216) * 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>
2023-11-28 17:29:24 +01:00
--face-mask-blur [0.0-1.0] specify the blur amount for face mask
--face-mask-padding FACE_MASK_PADDING [FACE_MASK_PADDING ...] specify the face mask padding (top, right, bottom, left) in percent
2.1.0 (#253) * Operating system specific installer options * Update dependencies * Sorting before NMS according to the standard * Minor typing fix * Change the wording * Update preview.py (#222) Added a release listener to the preview frame slider, this will update the frame preview with the latest frame * Combine preview slider listener * Remove change listener * Introduce multi source (#223) * Implement multi source * Adjust face enhancer and face debugger to multi source * Implement multi source to UI * Implement multi source to UI part2 * Implement multi source to UI part3 * Implement multi source to UI part4 * Some cleanup * Add face occluder (#225) (#226) * Add face occluder (#225) * add face-occluder (commandline only) * review 1 * Update face_masker.py * Update face_masker.py * Add gui & fix typing * Minor naming cleanup * Minor naming cleanup part2 --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> * Update usage information * Fix averaged normed_embedding * Remove blur from face occluder, enable accelerators * Switch to RANSAC with 100 threshold * Update face_enhancer.py (#229) * Update face_debugger.py (#230) * Split utilities (#232) * Split utilities * Split utilities part2 * Split utilities part3 * Split utilities part4 * Some cleanup * Implement log level support (#233) * Implement log level support * Fix testing * Implement debug logger * Implement debug logger * Fix alignment offset (#235) * Update face_helper.py * fix 2 * Enforce virtual environment via installer * Enforce virtual environment via installer * Enforce virtual environment via installer * Enforce virtual environment via installer * Feat/multi process reference faces (#239) * Multi processing aware reference faces * First clean up and joining of files * Finalize the face store * Reduce similar face detection to one set, use __name__ for scopes in logger * Rename to face_occluder * Introduce ModelSet type * Improve webcam error handling * Prevent null pointer on is_image() and is_video() * Prevent null pointer on is_image() and is_video() * Fix find similar faces * Fix find similar faces * Fix process_images for face enhancer * Bunch of minor improvements * onnxruntime for ROCM under linux * Improve mask related naming * Fix falsy import * Fix typo * Feat/face parser refactoring (#247) * Face parser update (#244) * face-parser * Update face_masker.py * update debugger * Update globals.py * Update face_masker.py * Refactor code to split occlusion from region * fix (#246) * fix * fix debugger resolution * flip input to horizontal * Clean up UI * Reduce the regions to inside face only * Reduce the regions to inside face only --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> * Fix enhancer, remove useless dest in add_argument() * Prevent unselect of the face_mask_regions via UI * Prepare next release * Shorten arguments that have choices and nargs * Add missing clear to face debugger --------- Co-authored-by: Mathias <github@feroc.de> Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com>
2023-12-20 00:00:32 +01:00
--face-mask-regions FACE_MASK_REGIONS [FACE_MASK_REGIONS ...] choose from the available face mask regions (choices: skin, left-eyebrow, right-eyebrow, left-eye, right-eye, eye-glasses, nose, mouth, upper-lip, lower-lip)
Next (#144) * Improve typing for our callbacks * Return 0 for get_download_size * Introduce ONNX powered face enhancer * Introduce ONNX powered face enhancer * Introduce ONNX powered face enhancer * Remove tile processing from frame enhancer * Fix video compress translation for libvpx-vp9 * Allow zero values for video compression * Develop (#134) * Introduce model options to the frame processors * Finish UI to select frame processors models * Simplify frame processors options * Fix lint in CI * Rename all kind of settings to options * Add blend to enhancers * Simplify webcam mode naming * Bypass SSL issues under Windows * Fix blend of frame enhancer * Massive CLI refactoring, Register and apply ARGS via the frame processors * Refine UI theme and introduce donate button * Update dependencies and fix cpu only torch * Update dependencies and fix cpu only torch * Fix theme, Fix frame_processors in headless mode * Remove useless astype * Disable CoreML for the ONNX face enhancer * Disable CoreML for the ONNX face enhancer * Predict webcam too * Improve resize of preview * Change output quality defaults, Move options to the right * Support for codeformer model * Update the typo * Add GPEN and GFPGAN 1.2 * Extract blend_frame methods * Extend the installer * Revert broken Gradio * Rework on ui components * Move output path selector to the output options * Remove tons of pointless component updates * Reset more base theme styling * Use latest Gradio * Fix the sliders * More styles * Update torch to 2.1.0 * Add RealESRNet_x4plus * Fix that button * Use latest onnxruntime-silicon * Looks stable to me * Lowercase model keys, Update preview and readme
2023-10-09 10:16:13 +02:00
frame extraction:
Next (#216) * 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>
2023-11-28 17:29:24 +01:00
--trim-frame-start TRIM_FRAME_START specify the start frame for extraction
--trim-frame-end TRIM_FRAME_END specify the end frame for extraction
--temp-frame-format {jpg,png} specify the image format used for frame extraction
--temp-frame-quality [0-100] specify the image quality used for frame extraction
--keep-temp retain temporary frames after processing
Next (#144) * Improve typing for our callbacks * Return 0 for get_download_size * Introduce ONNX powered face enhancer * Introduce ONNX powered face enhancer * Introduce ONNX powered face enhancer * Remove tile processing from frame enhancer * Fix video compress translation for libvpx-vp9 * Allow zero values for video compression * Develop (#134) * Introduce model options to the frame processors * Finish UI to select frame processors models * Simplify frame processors options * Fix lint in CI * Rename all kind of settings to options * Add blend to enhancers * Simplify webcam mode naming * Bypass SSL issues under Windows * Fix blend of frame enhancer * Massive CLI refactoring, Register and apply ARGS via the frame processors * Refine UI theme and introduce donate button * Update dependencies and fix cpu only torch * Update dependencies and fix cpu only torch * Fix theme, Fix frame_processors in headless mode * Remove useless astype * Disable CoreML for the ONNX face enhancer * Disable CoreML for the ONNX face enhancer * Predict webcam too * Improve resize of preview * Change output quality defaults, Move options to the right * Support for codeformer model * Update the typo * Add GPEN and GFPGAN 1.2 * Extract blend_frame methods * Extend the installer * Revert broken Gradio * Rework on ui components * Move output path selector to the output options * Remove tons of pointless component updates * Reset more base theme styling * Use latest Gradio * Fix the sliders * More styles * Update torch to 2.1.0 * Add RealESRNet_x4plus * Fix that button * Use latest onnxruntime-silicon * Looks stable to me * Lowercase model keys, Update preview and readme
2023-10-09 10:16:13 +02:00
output creation:
Next (#216) * 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>
2023-11-28 17:29:24 +01:00
--output-image-quality [0-100] specify the quality used for the output image
--output-video-encoder {libx264,libx265,libvpx-vp9,h264_nvenc,hevc_nvenc} specify the encoder used for the output video
--output-video-quality [0-100] specify the quality used for the output video
--keep-fps preserve the frames per second (fps) of the target
--skip-audio omit audio from the target
Next (#144) * Improve typing for our callbacks * Return 0 for get_download_size * Introduce ONNX powered face enhancer * Introduce ONNX powered face enhancer * Introduce ONNX powered face enhancer * Remove tile processing from frame enhancer * Fix video compress translation for libvpx-vp9 * Allow zero values for video compression * Develop (#134) * Introduce model options to the frame processors * Finish UI to select frame processors models * Simplify frame processors options * Fix lint in CI * Rename all kind of settings to options * Add blend to enhancers * Simplify webcam mode naming * Bypass SSL issues under Windows * Fix blend of frame enhancer * Massive CLI refactoring, Register and apply ARGS via the frame processors * Refine UI theme and introduce donate button * Update dependencies and fix cpu only torch * Update dependencies and fix cpu only torch * Fix theme, Fix frame_processors in headless mode * Remove useless astype * Disable CoreML for the ONNX face enhancer * Disable CoreML for the ONNX face enhancer * Predict webcam too * Improve resize of preview * Change output quality defaults, Move options to the right * Support for codeformer model * Update the typo * Add GPEN and GFPGAN 1.2 * Extract blend_frame methods * Extend the installer * Revert broken Gradio * Rework on ui components * Move output path selector to the output options * Remove tons of pointless component updates * Reset more base theme styling * Use latest Gradio * Fix the sliders * More styles * Update torch to 2.1.0 * Add RealESRNet_x4plus * Fix that button * Use latest onnxruntime-silicon * Looks stable to me * Lowercase model keys, Update preview and readme
2023-10-09 10:16:13 +02:00
frame processors:
Next (#216) * 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>
2023-11-28 17:29:24 +01:00
--frame-processors FRAME_PROCESSORS [FRAME_PROCESSORS ...] choose from the available frame processors (choices: face_debugger, face_enhancer, face_swapper, frame_enhancer, ...)
2.1.0 (#253) * Operating system specific installer options * Update dependencies * Sorting before NMS according to the standard * Minor typing fix * Change the wording * Update preview.py (#222) Added a release listener to the preview frame slider, this will update the frame preview with the latest frame * Combine preview slider listener * Remove change listener * Introduce multi source (#223) * Implement multi source * Adjust face enhancer and face debugger to multi source * Implement multi source to UI * Implement multi source to UI part2 * Implement multi source to UI part3 * Implement multi source to UI part4 * Some cleanup * Add face occluder (#225) (#226) * Add face occluder (#225) * add face-occluder (commandline only) * review 1 * Update face_masker.py * Update face_masker.py * Add gui & fix typing * Minor naming cleanup * Minor naming cleanup part2 --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> * Update usage information * Fix averaged normed_embedding * Remove blur from face occluder, enable accelerators * Switch to RANSAC with 100 threshold * Update face_enhancer.py (#229) * Update face_debugger.py (#230) * Split utilities (#232) * Split utilities * Split utilities part2 * Split utilities part3 * Split utilities part4 * Some cleanup * Implement log level support (#233) * Implement log level support * Fix testing * Implement debug logger * Implement debug logger * Fix alignment offset (#235) * Update face_helper.py * fix 2 * Enforce virtual environment via installer * Enforce virtual environment via installer * Enforce virtual environment via installer * Enforce virtual environment via installer * Feat/multi process reference faces (#239) * Multi processing aware reference faces * First clean up and joining of files * Finalize the face store * Reduce similar face detection to one set, use __name__ for scopes in logger * Rename to face_occluder * Introduce ModelSet type * Improve webcam error handling * Prevent null pointer on is_image() and is_video() * Prevent null pointer on is_image() and is_video() * Fix find similar faces * Fix find similar faces * Fix process_images for face enhancer * Bunch of minor improvements * onnxruntime for ROCM under linux * Improve mask related naming * Fix falsy import * Fix typo * Feat/face parser refactoring (#247) * Face parser update (#244) * face-parser * Update face_masker.py * update debugger * Update globals.py * Update face_masker.py * Refactor code to split occlusion from region * fix (#246) * fix * fix debugger resolution * flip input to horizontal * Clean up UI * Reduce the regions to inside face only * Reduce the regions to inside face only --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> * Fix enhancer, remove useless dest in add_argument() * Prevent unselect of the face_mask_regions via UI * Prepare next release * Shorten arguments that have choices and nargs * Add missing clear to face debugger --------- Co-authored-by: Mathias <github@feroc.de> Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com>
2023-12-20 00:00:32 +01:00
--face-debugger-items FACE_DEBUGGER_ITEMS [FACE_DEBUGGER_ITEMS ...] specify the face debugger items (choices: bbox, kps, face-mask, score)
Next (#216) * 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>
2023-11-28 17:29:24 +01:00
--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
2.1.0 (#253) * Operating system specific installer options * Update dependencies * Sorting before NMS according to the standard * Minor typing fix * Change the wording * Update preview.py (#222) Added a release listener to the preview frame slider, this will update the frame preview with the latest frame * Combine preview slider listener * Remove change listener * Introduce multi source (#223) * Implement multi source * Adjust face enhancer and face debugger to multi source * Implement multi source to UI * Implement multi source to UI part2 * Implement multi source to UI part3 * Implement multi source to UI part4 * Some cleanup * Add face occluder (#225) (#226) * Add face occluder (#225) * add face-occluder (commandline only) * review 1 * Update face_masker.py * Update face_masker.py * Add gui & fix typing * Minor naming cleanup * Minor naming cleanup part2 --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> * Update usage information * Fix averaged normed_embedding * Remove blur from face occluder, enable accelerators * Switch to RANSAC with 100 threshold * Update face_enhancer.py (#229) * Update face_debugger.py (#230) * Split utilities (#232) * Split utilities * Split utilities part2 * Split utilities part3 * Split utilities part4 * Some cleanup * Implement log level support (#233) * Implement log level support * Fix testing * Implement debug logger * Implement debug logger * Fix alignment offset (#235) * Update face_helper.py * fix 2 * Enforce virtual environment via installer * Enforce virtual environment via installer * Enforce virtual environment via installer * Enforce virtual environment via installer * Feat/multi process reference faces (#239) * Multi processing aware reference faces * First clean up and joining of files * Finalize the face store * Reduce similar face detection to one set, use __name__ for scopes in logger * Rename to face_occluder * Introduce ModelSet type * Improve webcam error handling * Prevent null pointer on is_image() and is_video() * Prevent null pointer on is_image() and is_video() * Fix find similar faces * Fix find similar faces * Fix process_images for face enhancer * Bunch of minor improvements * onnxruntime for ROCM under linux * Improve mask related naming * Fix falsy import * Fix typo * Feat/face parser refactoring (#247) * Face parser update (#244) * face-parser * Update face_masker.py * update debugger * Update globals.py * Update face_masker.py * Refactor code to split occlusion from region * fix (#246) * fix * fix debugger resolution * flip input to horizontal * Clean up UI * Reduce the regions to inside face only * Reduce the regions to inside face only --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> * Fix enhancer, remove useless dest in add_argument() * Prevent unselect of the face_mask_regions via UI * Prepare next release * Shorten arguments that have choices and nargs * Add missing clear to face debugger --------- Co-authored-by: Mathias <github@feroc.de> Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com>
2023-12-20 00:00:32 +01:00
--face-enhancer-blend [0-100] specify the blend amount for the frame processor
2023-12-15 23:07:31 +01:00
--face-swapper-model {blendswap_256,inswapper_128,inswapper_128_fp16,simswap_256,simswap_512_unofficial} choose the model for the frame processor
Next (#216) * 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>
2023-11-28 17:29:24 +01:00
--frame-enhancer-model {real_esrgan_x2plus,real_esrgan_x4plus,real_esrnet_x4plus} choose the model for the frame processor
2.1.0 (#253) * Operating system specific installer options * Update dependencies * Sorting before NMS according to the standard * Minor typing fix * Change the wording * Update preview.py (#222) Added a release listener to the preview frame slider, this will update the frame preview with the latest frame * Combine preview slider listener * Remove change listener * Introduce multi source (#223) * Implement multi source * Adjust face enhancer and face debugger to multi source * Implement multi source to UI * Implement multi source to UI part2 * Implement multi source to UI part3 * Implement multi source to UI part4 * Some cleanup * Add face occluder (#225) (#226) * Add face occluder (#225) * add face-occluder (commandline only) * review 1 * Update face_masker.py * Update face_masker.py * Add gui & fix typing * Minor naming cleanup * Minor naming cleanup part2 --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> * Update usage information * Fix averaged normed_embedding * Remove blur from face occluder, enable accelerators * Switch to RANSAC with 100 threshold * Update face_enhancer.py (#229) * Update face_debugger.py (#230) * Split utilities (#232) * Split utilities * Split utilities part2 * Split utilities part3 * Split utilities part4 * Some cleanup * Implement log level support (#233) * Implement log level support * Fix testing * Implement debug logger * Implement debug logger * Fix alignment offset (#235) * Update face_helper.py * fix 2 * Enforce virtual environment via installer * Enforce virtual environment via installer * Enforce virtual environment via installer * Enforce virtual environment via installer * Feat/multi process reference faces (#239) * Multi processing aware reference faces * First clean up and joining of files * Finalize the face store * Reduce similar face detection to one set, use __name__ for scopes in logger * Rename to face_occluder * Introduce ModelSet type * Improve webcam error handling * Prevent null pointer on is_image() and is_video() * Prevent null pointer on is_image() and is_video() * Fix find similar faces * Fix find similar faces * Fix process_images for face enhancer * Bunch of minor improvements * onnxruntime for ROCM under linux * Improve mask related naming * Fix falsy import * Fix typo * Feat/face parser refactoring (#247) * Face parser update (#244) * face-parser * Update face_masker.py * update debugger * Update globals.py * Update face_masker.py * Refactor code to split occlusion from region * fix (#246) * fix * fix debugger resolution * flip input to horizontal * Clean up UI * Reduce the regions to inside face only * Reduce the regions to inside face only --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> * Fix enhancer, remove useless dest in add_argument() * Prevent unselect of the face_mask_regions via UI * Prepare next release * Shorten arguments that have choices and nargs * Add missing clear to face debugger --------- Co-authored-by: Mathias <github@feroc.de> Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com>
2023-12-20 00:00:32 +01:00
--frame-enhancer-blend [0-100] specify the blend amount for the frame processor
Next (#144) * Improve typing for our callbacks * Return 0 for get_download_size * Introduce ONNX powered face enhancer * Introduce ONNX powered face enhancer * Introduce ONNX powered face enhancer * Remove tile processing from frame enhancer * Fix video compress translation for libvpx-vp9 * Allow zero values for video compression * Develop (#134) * Introduce model options to the frame processors * Finish UI to select frame processors models * Simplify frame processors options * Fix lint in CI * Rename all kind of settings to options * Add blend to enhancers * Simplify webcam mode naming * Bypass SSL issues under Windows * Fix blend of frame enhancer * Massive CLI refactoring, Register and apply ARGS via the frame processors * Refine UI theme and introduce donate button * Update dependencies and fix cpu only torch * Update dependencies and fix cpu only torch * Fix theme, Fix frame_processors in headless mode * Remove useless astype * Disable CoreML for the ONNX face enhancer * Disable CoreML for the ONNX face enhancer * Predict webcam too * Improve resize of preview * Change output quality defaults, Move options to the right * Support for codeformer model * Update the typo * Add GPEN and GFPGAN 1.2 * Extract blend_frame methods * Extend the installer * Revert broken Gradio * Rework on ui components * Move output path selector to the output options * Remove tons of pointless component updates * Reset more base theme styling * Use latest Gradio * Fix the sliders * More styles * Update torch to 2.1.0 * Add RealESRNet_x4plus * Fix that button * Use latest onnxruntime-silicon * Looks stable to me * Lowercase model keys, Update preview and readme
2023-10-09 10:16:13 +02:00
uis:
Next (#216) * 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>
2023-11-28 17:29:24 +01:00
--ui-layouts UI_LAYOUTS [UI_LAYOUTS ...] choose from the available ui layouts (choices: benchmark, webcam, default, ...)
2023-08-19 22:42:25 +02:00
```
Documentation
-------------
2023-08-20 21:36:03 +02:00
Read the [documentation](https://docs.facefusion.io) for a deep dive.