Next (#477)

* Add real_hatgan_x4 model

* Mark it as NEXT

* Force download to be executed and exit

* Fix frame per second interpolation

* 5 to 68 landmark (#456)

* changes

* changes

* Adjust model url

* Cleanup 5 to 68 landmark convertion

* Move everything to face analyser

* Introduce matrix only face helper

* Revert facefusion.ini

* Adjust limit due false positive analysis

* changes (#457)

* Use pixel format yuv422p to merge video

* Fix some code

* Minor cleanup

* Add gpen_bfr_1024 and gpen_bfr_2048

* Revert it back to yuv420p due compatibility issues

* Add debug back to ffmpeg

* Add debug back to ffmpeg

* Migrate to conda (#461)

* Migrate from venv to conda

* Migrate from venv to conda

* Message when conda is not activated

* Use release for every slider (#463)

* Use release event handler for every slider

* Move more sliders to release handler

* Move more sliders to release handler

* Add get_ui_components() to simplify code

* Revert some changes on frame slider

* Add the first iteration of a frame colorizer

* Support for the DDColor model

* Improve model file handling

* Improve model file handling part2

* Remove deoldify

* Remove deoldify

* Voice separator (#468)

* changes

* changes

* changes

* changes

* changes

* changes

* Rename audio extractor to voice extractor

* Cosmetic changes

* Cosmetic changes

* Fix fps lowering and boosting

* Fix fps lowering and boosting

* Fix fps lowering and boosting

* Some refactoring for audio.py and some astype() here and there (#470)

* Some refactoring for audio.py and some astype() here and there

* Fix lint

* Spacing

* Add mp3 to benchmark suite for lip syncer testing

* Improve naming

* Adjust chunk size

* Use higher quality

* Revert "Use higher quality"

This reverts commit d32f28757251ecc0f48214073adf54f3631b1289.

* Improve naming in ffmpeg.py

* Simplify code

* Better fps calculation

* Fix naming here and there

* Add back real esrgan x2

* Remove trailing comma

* Update wording and README

* Use semaphore to prevent frame colorizer memory issues

* Revert "Remove deoldify"

This reverts commit bd8034cbc71fe701f78dddec3057dc98593b2162.

* Remove unused type from frame colorizer

* Adjust naming

* Add missing clear of model initializer

* Change nvenc preset mappping to support old FFMPEG 4

* Update onnxruntime to 1.17.1

* Fix lint

* Prepare 2.5.0

* Fix Gradio overrides

* Add Deoldify Artistic back

* Feat/audio refactoring (#476)

* Improve audio naming and variables

* Improve audio naming and variables

* Refactor voice extractor like crazy

* Refactor voice extractor like crazy

* Remove spaces

* Update the usage

---------

Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com>

facefusion/content_analyser.py

@@ -1,4 +1,4 @@
-from typing import Any, Dict
+from typing import Any
 from functools import lru_cache
 from time import sleep
 import threading
@@ -9,15 +9,15 @@ from tqdm import tqdm
 
 import facefusion.globals
 from facefusion import process_manager, wording
-from facefusion.typing import VisionFrame, ModelValue, Fps
+from facefusion.typing import VisionFrame, ModelSet, Fps
 from facefusion.execution import apply_execution_provider_options
 from facefusion.vision import get_video_frame, count_video_frame_total, read_image, detect_video_fps
-from facefusion.filesystem import resolve_relative_path
+from facefusion.filesystem import resolve_relative_path, is_file
 from facefusion.download import conditional_download
 
 CONTENT_ANALYSER = None
 THREAD_LOCK : threading.Lock = threading.Lock()
-MODELS : Dict[str, ModelValue] =\
+MODELS : ModelSet =\
 {
 	'open_nsfw':
 	{
@@ -26,7 +26,7 @@ MODELS : Dict[str, ModelValue] =\
 	}
 }
 PROBABILITY_LIMIT = 0.80
-RATE_LIMIT = 5
+RATE_LIMIT = 10
 STREAM_COUNTER = 0
 
 
@@ -49,13 +49,15 @@ def clear_content_analyser() -> None:
 
 
 def pre_check() -> bool:
+	download_directory_path = resolve_relative_path('../.assets/models')
+	model_url = MODELS.get('open_nsfw').get('url')
+	model_path = MODELS.get('open_nsfw').get('path')
+
 	if not facefusion.globals.skip_download:
-		download_directory_path = resolve_relative_path('../.assets/models')
-		model_url = MODELS.get('open_nsfw').get('url')
 		process_manager.check()
 		conditional_download(download_directory_path, [ model_url ])
 		process_manager.end()
-	return True
+	return is_file(model_path)
 
 
 def analyse_stream(vision_frame : VisionFrame, video_fps : Fps) -> bool: