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facefusion/tests/test_utilities.py

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2023-08-21 18:56:44 +02:00
import glob
Develop (#73) * Cosmetic changes * Cosmetic changes * Run single warm up for the benchmark suite * Use latest version of Gradio * More testing * Introduce basic installer * Fix typo * Move more to installer file * Fix the installer with the uninstall all trick * Adjust wording * Fix coreml in installer * Allow Pyhton 3.9 * Add VENV to installer * Just some cosmetics * Just some cosmetics * Dedicated headless mode, Refine API of UI layouts * Use --headless for pytest * Fix testing for Windows * Normalize output path that lacks extension * Fix CI for Windows * Fix CI for Windows * UI to change output path * Add conda support for the installer * Improve installer quite a bit * Drop conda support * Install community wheels for coreml silicon * Improve output video component * Fix silicon wheel downloading * Remove venv from installer as we cannot activate via subprocess * Use join to create wheel name * Refine the output path normalization * Refine the output path normalization * Introduce ProcessMode and rename some methods * Introduce ProcessMode and rename some methods * Basic webcam integration and open_ffmpeg() * Basic webcam integration part2 * Benchmark resolutions now selectable * Rename benchmark resolution back to benchmark runs * Fix repeating output path in UI * Keep output_path untouched if not resolvable * Add more cases to normalize output path * None for those tests that don't take source path into account * Finish basic webcam integration, UI layout now with custom run() * Fix CI and hide link in webcam UI * Cosmetics on webcam UI * Move get_device to utilities * Fix CI * Introduce output-image-quality, Show and hide UI according to target media type * Benchmark with partial result updates * fix: trim frame sliders not appearing after draggin video * fix: output and temp frame setting inputs not appearing * Fix: set increased update delay to 250ms to let Gradio update conditional inputs properly * Reverted .gitignore * Adjust timings * Remove timeout hacks and get fully event driven * Update dependencies * Update dependencies * Revert NSFW library, Conditional unset trim args * Face selector works better on preview slider release * Add limit resources to UI * Introduce vision.py for all CV2 operations, Rename some methods * Add restoring audio failed * Decouple updates for preview image and preview frame slider, Move reduce_preview_frame to vision * Refactor detect_fps based on JSON output * Only webcam when open * More conditions to vision.py * Add udp and v4l2 streaming to webcam UI * Detect v4l2 device to be used * Refactor code a bit * Use static max memory for UI * Fix CI * Looks stable to me * Update preview * Update preview --------- Co-authored-by: Sumit <vizsumit@gmail.com>
2023-09-06 00:25:18 +02:00
import platform
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import subprocess
import pytest
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import facefusion.globals
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
from facefusion.utilities import conditional_download, extract_frames, create_temp, get_temp_directory_path, clear_temp, normalize_output_path, normalize_padding, is_file, is_directory, is_image, is_video, get_download_size, is_download_done, encode_execution_providers, decode_execution_providers
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@pytest.fixture(scope = 'module', autouse = True)
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def before_all() -> None:
facefusion.globals.temp_frame_quality = 100
facefusion.globals.trim_frame_start = None
facefusion.globals.trim_frame_end = None
facefusion.globals.temp_frame_format = 'png'
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conditional_download('.assets/examples',
[
Develop (#73) * Cosmetic changes * Cosmetic changes * Run single warm up for the benchmark suite * Use latest version of Gradio * More testing * Introduce basic installer * Fix typo * Move more to installer file * Fix the installer with the uninstall all trick * Adjust wording * Fix coreml in installer * Allow Pyhton 3.9 * Add VENV to installer * Just some cosmetics * Just some cosmetics * Dedicated headless mode, Refine API of UI layouts * Use --headless for pytest * Fix testing for Windows * Normalize output path that lacks extension * Fix CI for Windows * Fix CI for Windows * UI to change output path * Add conda support for the installer * Improve installer quite a bit * Drop conda support * Install community wheels for coreml silicon * Improve output video component * Fix silicon wheel downloading * Remove venv from installer as we cannot activate via subprocess * Use join to create wheel name * Refine the output path normalization * Refine the output path normalization * Introduce ProcessMode and rename some methods * Introduce ProcessMode and rename some methods * Basic webcam integration and open_ffmpeg() * Basic webcam integration part2 * Benchmark resolutions now selectable * Rename benchmark resolution back to benchmark runs * Fix repeating output path in UI * Keep output_path untouched if not resolvable * Add more cases to normalize output path * None for those tests that don't take source path into account * Finish basic webcam integration, UI layout now with custom run() * Fix CI and hide link in webcam UI * Cosmetics on webcam UI * Move get_device to utilities * Fix CI * Introduce output-image-quality, Show and hide UI according to target media type * Benchmark with partial result updates * fix: trim frame sliders not appearing after draggin video * fix: output and temp frame setting inputs not appearing * Fix: set increased update delay to 250ms to let Gradio update conditional inputs properly * Reverted .gitignore * Adjust timings * Remove timeout hacks and get fully event driven * Update dependencies * Update dependencies * Revert NSFW library, Conditional unset trim args * Face selector works better on preview slider release * Add limit resources to UI * Introduce vision.py for all CV2 operations, Rename some methods * Add restoring audio failed * Decouple updates for preview image and preview frame slider, Move reduce_preview_frame to vision * Refactor detect_fps based on JSON output * Only webcam when open * More conditions to vision.py * Add udp and v4l2 streaming to webcam UI * Detect v4l2 device to be used * Refactor code a bit * Use static max memory for UI * Fix CI * Looks stable to me * Update preview * Update preview --------- Co-authored-by: Sumit <vizsumit@gmail.com>
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'https://github.com/facefusion/facefusion-assets/releases/download/examples/source.jpg',
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'https://github.com/facefusion/facefusion-assets/releases/download/examples/target-240p.mp4'
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])
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subprocess.run([ 'ffmpeg', '-i', '.assets/examples/target-240p.mp4', '-vf', 'fps=25', '.assets/examples/target-240p-25fps.mp4' ])
subprocess.run([ 'ffmpeg', '-i', '.assets/examples/target-240p.mp4', '-vf', 'fps=30', '.assets/examples/target-240p-30fps.mp4' ])
subprocess.run([ 'ffmpeg', '-i', '.assets/examples/target-240p.mp4', '-vf', 'fps=60', '.assets/examples/target-240p-60fps.mp4' ])
@pytest.fixture(scope = 'function', autouse = True)
def before_each() -> None:
facefusion.globals.trim_frame_start = None
facefusion.globals.trim_frame_end = None
facefusion.globals.temp_frame_quality = 90
facefusion.globals.temp_frame_format = 'jpg'
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def test_extract_frames() -> None:
target_paths =\
[
'.assets/examples/target-240p-25fps.mp4',
'.assets/examples/target-240p-30fps.mp4',
'.assets/examples/target-240p-60fps.mp4'
]
for target_path in target_paths:
temp_directory_path = get_temp_directory_path(target_path)
create_temp(target_path)
assert extract_frames(target_path, 30.0) is True
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assert len(glob.glob1(temp_directory_path, '*.jpg')) == 324
clear_temp(target_path)
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def test_extract_frames_with_trim_start() -> None:
facefusion.globals.trim_frame_start = 224
data_provider =\
[
('.assets/examples/target-240p-25fps.mp4', 55),
('.assets/examples/target-240p-30fps.mp4', 100),
('.assets/examples/target-240p-60fps.mp4', 212)
]
for target_path, frame_total in data_provider:
temp_directory_path = get_temp_directory_path(target_path)
create_temp(target_path)
assert extract_frames(target_path, 30.0) is True
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assert len(glob.glob1(temp_directory_path, '*.jpg')) == frame_total
clear_temp(target_path)
def test_extract_frames_with_trim_start_and_trim_end() -> None:
facefusion.globals.trim_frame_start = 124
facefusion.globals.trim_frame_end = 224
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data_provider =\
[
('.assets/examples/target-240p-25fps.mp4', 120),
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('.assets/examples/target-240p-30fps.mp4', 100),
('.assets/examples/target-240p-60fps.mp4', 50)
]
for target_path, frame_total in data_provider:
temp_directory_path = get_temp_directory_path(target_path)
create_temp(target_path)
assert extract_frames(target_path, 30.0) is True
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assert len(glob.glob1(temp_directory_path, '*.jpg')) == frame_total
clear_temp(target_path)
def test_extract_frames_with_trim_end() -> None:
facefusion.globals.trim_frame_end = 100
data_provider =\
[
('.assets/examples/target-240p-25fps.mp4', 120),
('.assets/examples/target-240p-30fps.mp4', 100),
('.assets/examples/target-240p-60fps.mp4', 50)
]
for target_path, frame_total in data_provider:
temp_directory_path = get_temp_directory_path(target_path)
create_temp(target_path)
assert extract_frames(target_path, 30.0) is True
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assert len(glob.glob1(temp_directory_path, '*.jpg')) == frame_total
clear_temp(target_path)
Develop (#73) * Cosmetic changes * Cosmetic changes * Run single warm up for the benchmark suite * Use latest version of Gradio * More testing * Introduce basic installer * Fix typo * Move more to installer file * Fix the installer with the uninstall all trick * Adjust wording * Fix coreml in installer * Allow Pyhton 3.9 * Add VENV to installer * Just some cosmetics * Just some cosmetics * Dedicated headless mode, Refine API of UI layouts * Use --headless for pytest * Fix testing for Windows * Normalize output path that lacks extension * Fix CI for Windows * Fix CI for Windows * UI to change output path * Add conda support for the installer * Improve installer quite a bit * Drop conda support * Install community wheels for coreml silicon * Improve output video component * Fix silicon wheel downloading * Remove venv from installer as we cannot activate via subprocess * Use join to create wheel name * Refine the output path normalization * Refine the output path normalization * Introduce ProcessMode and rename some methods * Introduce ProcessMode and rename some methods * Basic webcam integration and open_ffmpeg() * Basic webcam integration part2 * Benchmark resolutions now selectable * Rename benchmark resolution back to benchmark runs * Fix repeating output path in UI * Keep output_path untouched if not resolvable * Add more cases to normalize output path * None for those tests that don't take source path into account * Finish basic webcam integration, UI layout now with custom run() * Fix CI and hide link in webcam UI * Cosmetics on webcam UI * Move get_device to utilities * Fix CI * Introduce output-image-quality, Show and hide UI according to target media type * Benchmark with partial result updates * fix: trim frame sliders not appearing after draggin video * fix: output and temp frame setting inputs not appearing * Fix: set increased update delay to 250ms to let Gradio update conditional inputs properly * Reverted .gitignore * Adjust timings * Remove timeout hacks and get fully event driven * Update dependencies * Update dependencies * Revert NSFW library, Conditional unset trim args * Face selector works better on preview slider release * Add limit resources to UI * Introduce vision.py for all CV2 operations, Rename some methods * Add restoring audio failed * Decouple updates for preview image and preview frame slider, Move reduce_preview_frame to vision * Refactor detect_fps based on JSON output * Only webcam when open * More conditions to vision.py * Add udp and v4l2 streaming to webcam UI * Detect v4l2 device to be used * Refactor code a bit * Use static max memory for UI * Fix CI * Looks stable to me * Update preview * Update preview --------- Co-authored-by: Sumit <vizsumit@gmail.com>
2023-09-06 00:25:18 +02:00
def test_normalize_output_path() -> None:
if platform.system().lower() != 'windows':
assert normalize_output_path('.assets/examples/source.jpg', None, '.assets/examples/target-240p.mp4') == '.assets/examples/target-240p.mp4'
assert normalize_output_path(None, '.assets/examples/target-240p.mp4', '.assets/examples/target-240p.mp4') == '.assets/examples/target-240p.mp4'
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
assert normalize_output_path(None, '.assets/examples/target-240p.mp4', '.assets/examples') == '.assets/examples/target-240p.mp4'
Develop (#73) * Cosmetic changes * Cosmetic changes * Run single warm up for the benchmark suite * Use latest version of Gradio * More testing * Introduce basic installer * Fix typo * Move more to installer file * Fix the installer with the uninstall all trick * Adjust wording * Fix coreml in installer * Allow Pyhton 3.9 * Add VENV to installer * Just some cosmetics * Just some cosmetics * Dedicated headless mode, Refine API of UI layouts * Use --headless for pytest * Fix testing for Windows * Normalize output path that lacks extension * Fix CI for Windows * Fix CI for Windows * UI to change output path * Add conda support for the installer * Improve installer quite a bit * Drop conda support * Install community wheels for coreml silicon * Improve output video component * Fix silicon wheel downloading * Remove venv from installer as we cannot activate via subprocess * Use join to create wheel name * Refine the output path normalization * Refine the output path normalization * Introduce ProcessMode and rename some methods * Introduce ProcessMode and rename some methods * Basic webcam integration and open_ffmpeg() * Basic webcam integration part2 * Benchmark resolutions now selectable * Rename benchmark resolution back to benchmark runs * Fix repeating output path in UI * Keep output_path untouched if not resolvable * Add more cases to normalize output path * None for those tests that don't take source path into account * Finish basic webcam integration, UI layout now with custom run() * Fix CI and hide link in webcam UI * Cosmetics on webcam UI * Move get_device to utilities * Fix CI * Introduce output-image-quality, Show and hide UI according to target media type * Benchmark with partial result updates * fix: trim frame sliders not appearing after draggin video * fix: output and temp frame setting inputs not appearing * Fix: set increased update delay to 250ms to let Gradio update conditional inputs properly * Reverted .gitignore * Adjust timings * Remove timeout hacks and get fully event driven * Update dependencies * Update dependencies * Revert NSFW library, Conditional unset trim args * Face selector works better on preview slider release * Add limit resources to UI * Introduce vision.py for all CV2 operations, Rename some methods * Add restoring audio failed * Decouple updates for preview image and preview frame slider, Move reduce_preview_frame to vision * Refactor detect_fps based on JSON output * Only webcam when open * More conditions to vision.py * Add udp and v4l2 streaming to webcam UI * Detect v4l2 device to be used * Refactor code a bit * Use static max memory for UI * Fix CI * Looks stable to me * Update preview * Update preview --------- Co-authored-by: Sumit <vizsumit@gmail.com>
2023-09-06 00:25:18 +02:00
assert normalize_output_path('.assets/examples/source.jpg', '.assets/examples/target-240p.mp4', '.assets/examples') == '.assets/examples/source-target-240p.mp4'
assert normalize_output_path(None, '.assets/examples/target-240p.mp4', '.assets/examples/output.mp4') == '.assets/examples/output.mp4'
assert normalize_output_path(None, '.assets/examples/target-240p.mp4', '.assets/output.mov') == '.assets/output.mp4'
assert normalize_output_path(None, '.assets/examples/target-240p.mp4', '.assets/examples/invalid') is None
assert normalize_output_path(None, '.assets/examples/target-240p.mp4', '.assets/invalid/output.mp4') is None
assert normalize_output_path(None, '.assets/examples/target-240p.mp4', 'invalid') is None
assert normalize_output_path('.assets/examples/source.jpg', '.assets/examples/target-240p.mp4', None) is None
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
def test_normalize_padding() -> None:
assert normalize_padding([ 0, 0, 0, 0 ]) == (0, 0, 0, 0)
assert normalize_padding([ 1 ]) == (1, 1, 1, 1)
assert normalize_padding([ 1, 2 ]) == (1, 2, 1, 2)
assert normalize_padding([ 1, 2, 3 ]) == (1, 2, 3, 2)
assert normalize_padding(None) is None
Develop (#73) * Cosmetic changes * Cosmetic changes * Run single warm up for the benchmark suite * Use latest version of Gradio * More testing * Introduce basic installer * Fix typo * Move more to installer file * Fix the installer with the uninstall all trick * Adjust wording * Fix coreml in installer * Allow Pyhton 3.9 * Add VENV to installer * Just some cosmetics * Just some cosmetics * Dedicated headless mode, Refine API of UI layouts * Use --headless for pytest * Fix testing for Windows * Normalize output path that lacks extension * Fix CI for Windows * Fix CI for Windows * UI to change output path * Add conda support for the installer * Improve installer quite a bit * Drop conda support * Install community wheels for coreml silicon * Improve output video component * Fix silicon wheel downloading * Remove venv from installer as we cannot activate via subprocess * Use join to create wheel name * Refine the output path normalization * Refine the output path normalization * Introduce ProcessMode and rename some methods * Introduce ProcessMode and rename some methods * Basic webcam integration and open_ffmpeg() * Basic webcam integration part2 * Benchmark resolutions now selectable * Rename benchmark resolution back to benchmark runs * Fix repeating output path in UI * Keep output_path untouched if not resolvable * Add more cases to normalize output path * None for those tests that don't take source path into account * Finish basic webcam integration, UI layout now with custom run() * Fix CI and hide link in webcam UI * Cosmetics on webcam UI * Move get_device to utilities * Fix CI * Introduce output-image-quality, Show and hide UI according to target media type * Benchmark with partial result updates * fix: trim frame sliders not appearing after draggin video * fix: output and temp frame setting inputs not appearing * Fix: set increased update delay to 250ms to let Gradio update conditional inputs properly * Reverted .gitignore * Adjust timings * Remove timeout hacks and get fully event driven * Update dependencies * Update dependencies * Revert NSFW library, Conditional unset trim args * Face selector works better on preview slider release * Add limit resources to UI * Introduce vision.py for all CV2 operations, Rename some methods * Add restoring audio failed * Decouple updates for preview image and preview frame slider, Move reduce_preview_frame to vision * Refactor detect_fps based on JSON output * Only webcam when open * More conditions to vision.py * Add udp and v4l2 streaming to webcam UI * Detect v4l2 device to be used * Refactor code a bit * Use static max memory for UI * Fix CI * Looks stable to me * Update preview * Update preview --------- Co-authored-by: Sumit <vizsumit@gmail.com>
2023-09-06 00:25:18 +02:00
def test_is_file() -> None:
assert is_file('.assets/examples/source.jpg') is True
assert is_file('.assets/examples') is False
assert is_file('invalid') is False
def test_is_directory() -> None:
assert is_directory('.assets/examples') is True
assert is_directory('.assets/examples/source.jpg') is False
assert is_directory('invalid') is False
def test_is_image() -> None:
assert is_image('.assets/examples/source.jpg') is True
assert is_image('.assets/examples/target-240p.mp4') is False
assert is_image('invalid') is False
def test_is_video() -> None:
assert is_video('.assets/examples/target-240p.mp4') is True
assert is_video('.assets/examples/source.jpg') is False
assert is_video('invalid') is False
def test_get_download_size() -> None:
assert get_download_size('https://github.com/facefusion/facefusion-assets/releases/download/examples/target-240p.mp4') == 191675
assert get_download_size('https://github.com/facefusion/facefusion-assets/releases/download/examples/target-360p.mp4') == 370732
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
assert get_download_size('invalid') == 0
def test_is_download_done() -> None:
assert is_download_done('https://github.com/facefusion/facefusion-assets/releases/download/examples/target-240p.mp4', '.assets/examples/target-240p.mp4') is True
assert is_download_done('https://github.com/facefusion/facefusion-assets/releases/download/examples/target-240p.mp4','invalid') is False
assert is_download_done('invalid', 'invalid') is False
Develop (#73) * Cosmetic changes * Cosmetic changes * Run single warm up for the benchmark suite * Use latest version of Gradio * More testing * Introduce basic installer * Fix typo * Move more to installer file * Fix the installer with the uninstall all trick * Adjust wording * Fix coreml in installer * Allow Pyhton 3.9 * Add VENV to installer * Just some cosmetics * Just some cosmetics * Dedicated headless mode, Refine API of UI layouts * Use --headless for pytest * Fix testing for Windows * Normalize output path that lacks extension * Fix CI for Windows * Fix CI for Windows * UI to change output path * Add conda support for the installer * Improve installer quite a bit * Drop conda support * Install community wheels for coreml silicon * Improve output video component * Fix silicon wheel downloading * Remove venv from installer as we cannot activate via subprocess * Use join to create wheel name * Refine the output path normalization * Refine the output path normalization * Introduce ProcessMode and rename some methods * Introduce ProcessMode and rename some methods * Basic webcam integration and open_ffmpeg() * Basic webcam integration part2 * Benchmark resolutions now selectable * Rename benchmark resolution back to benchmark runs * Fix repeating output path in UI * Keep output_path untouched if not resolvable * Add more cases to normalize output path * None for those tests that don't take source path into account * Finish basic webcam integration, UI layout now with custom run() * Fix CI and hide link in webcam UI * Cosmetics on webcam UI * Move get_device to utilities * Fix CI * Introduce output-image-quality, Show and hide UI according to target media type * Benchmark with partial result updates * fix: trim frame sliders not appearing after draggin video * fix: output and temp frame setting inputs not appearing * Fix: set increased update delay to 250ms to let Gradio update conditional inputs properly * Reverted .gitignore * Adjust timings * Remove timeout hacks and get fully event driven * Update dependencies * Update dependencies * Revert NSFW library, Conditional unset trim args * Face selector works better on preview slider release * Add limit resources to UI * Introduce vision.py for all CV2 operations, Rename some methods * Add restoring audio failed * Decouple updates for preview image and preview frame slider, Move reduce_preview_frame to vision * Refactor detect_fps based on JSON output * Only webcam when open * More conditions to vision.py * Add udp and v4l2 streaming to webcam UI * Detect v4l2 device to be used * Refactor code a bit * Use static max memory for UI * Fix CI * Looks stable to me * Update preview * Update preview --------- Co-authored-by: Sumit <vizsumit@gmail.com>
2023-09-06 00:25:18 +02:00
def test_encode_execution_providers() -> None:
assert encode_execution_providers([ 'CPUExecutionProvider' ]) == [ 'cpu' ]
def test_decode_execution_providers() -> None:
assert decode_execution_providers([ 'cpu' ]) == [ 'CPUExecutionProvider' ]