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>

facefusion/uis/layouts/default.py

@@ -1,12 +1,16 @@
 import gradio
 
-from facefusion.uis.components import about, processors, execution, temp_frame, settings, source, target, preview, trim_frame, face_analyser, face_selector, output_settings, output
+from facefusion.uis.components import about, processors, execution, limit_resources, temp_frame, output_settings, settings, source, target, preview, trim_frame, face_analyser, face_selector, output
 
 
 def pre_check() -> bool:
 	return True
 
 
+def pre_render() -> bool:
+	return True
+
+
 def render() -> gradio.Blocks:
 	with gradio.Blocks() as layout:
 		with gradio.Row():
@@ -14,12 +18,13 @@ def render() -> gradio.Blocks:
 				about.render()
 				processors.render()
 				execution.render()
+				limit_resources.render()
 				temp_frame.render()
+				output_settings.render()
 				settings.render()
 			with gradio.Column(scale = 2):
 				source.render()
 				target.render()
-				output_settings.render()
 				output.render()
 			with gradio.Column(scale = 3):
 				preview.render()
@@ -32,13 +37,18 @@ def render() -> gradio.Blocks:
 def listen() -> None:
 	processors.listen()
 	execution.listen()
-	settings.listen()
+	limit_resources.listen()
 	temp_frame.listen()
+	output_settings.listen()
+	settings.listen()
 	source.listen()
 	target.listen()
 	preview.listen()
 	trim_frame.listen()
 	face_selector.listen()
 	face_analyser.listen()
-	output_settings.listen()
 	output.listen()
+
+
+def run(ui : gradio.Blocks) -> None:
+	ui.launch(show_api = False)