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* 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
This commit is contained in:
Henry Ruhs
2023-10-09 10:16:13 +02:00
committed by GitHub
parent 3e361e7701
commit a6809c3ccb
53 changed files with 1105 additions and 563 deletions
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facefusion/vision.py
+6 -5
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@@ -40,12 +40,13 @@ def normalize_frame_color(frame : Frame) -> Frame:
return cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
def resize_frame_dimension(frame : Frame, max_height : int) -> Frame:
def resize_frame_dimension(frame : Frame, max_width : int, max_height : int) -> Frame:
height, width = frame.shape[:2]
if height > max_height:
scale = max_height / height
max_width = int(width * scale)
frame = cv2.resize(frame, (max_width, max_height))
if height > max_height or width > max_width:
scale = min(max_height / height, max_width / width)
new_width = int(width * scale)
new_height = int(height * scale)
return cv2.resize(frame, (new_width, new_height))
return frame