add toggle button for blueish cam fix (Force OpenCV2 BGR2RGB)

pull/510/head
underlines 2024-08-30 22:02:23 +02:00
parent 79c6615a68
commit c91ab8bbd2
5 changed files with 24 additions and 8 deletions

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@ -1,5 +1,6 @@
from typing import Any
import cv2
import modules.globals # Import the globals to check the color correction toggle
def get_video_frame(video_path: str, frame_number: int = 0) -> Any:
@ -7,14 +8,16 @@ def get_video_frame(video_path: str, frame_number: int = 0) -> Any:
# Set MJPEG format to ensure correct color space handling
capture.set(cv2.CAP_PROP_FOURCC, cv2.VideoWriter_fourcc(*'MJPG'))
# Force OpenCV to convert to RGB
capture.set(cv2.CAP_PROP_CONVERT_RGB, 1)
# Only force RGB conversion if color correction is enabled
if modules.globals.color_correction:
capture.set(cv2.CAP_PROP_CONVERT_RGB, 1)
frame_total = capture.get(cv2.CAP_PROP_FRAME_COUNT)
capture.set(cv2.CAP_PROP_POS_FRAMES, min(frame_total, frame_number - 1))
has_frame, frame = capture.read()
if has_frame:
if has_frame and modules.globals.color_correction:
# Convert the frame color if necessary
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)

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@ -17,6 +17,7 @@ keep_fps = None
keep_audio = None
keep_frames = None
many_faces = None
color_correction = None # New global variable for color correction toggle
nsfw_filter = None
video_encoder = None
video_quality = None

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@ -2,6 +2,7 @@ import numpy
import opennsfw2
from PIL import Image
import cv2 # Add OpenCV import
import modules.globals # Import globals to access the color correction toggle
from modules.typing import Frame
@ -11,12 +12,16 @@ MAX_PROBABILITY = 0.85
model = None
def predict_frame(target_frame: Frame) -> bool:
# Convert the frame to RGB before processing
target_frame = cv2.cvtColor(target_frame, cv2.COLOR_BGR2RGB)
# Convert the frame to RGB before processing if color correction is enabled
if modules.globals.color_correction:
target_frame = cv2.cvtColor(target_frame, cv2.COLOR_BGR2RGB)
image = Image.fromarray(target_frame)
image = opennsfw2.preprocess_image(image, opennsfw2.Preprocessing.YAHOO)
global model
if model is None: model = opennsfw2.make_open_nsfw_model()
if model is None:
model = opennsfw2.make_open_nsfw_model()
views = numpy.expand_dims(image, axis=0)
_, probability = model.predict(views)[0]
return probability > MAX_PROBABILITY

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@ -49,8 +49,10 @@ def swap_face(source_face: Face, target_face: Face, temp_frame: Frame) -> Frame:
def process_frame(source_face: Face, temp_frame: Frame) -> Frame:
# Ensure the frame is in RGB format
temp_frame = cv2.cvtColor(temp_frame, cv2.COLOR_BGR2RGB)
# Ensure the frame is in RGB format if color correction is enabled
if modules.globals.color_correction:
temp_frame = cv2.cvtColor(temp_frame, cv2.COLOR_BGR2RGB)
if modules.globals.many_faces:
many_faces = get_many_faces(temp_frame)
if many_faces:

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@ -93,6 +93,11 @@ def create_root(start: Callable[[], None], destroy: Callable[[], None]) -> ctk.C
many_faces_switch = ctk.CTkSwitch(root, text='Many faces', variable=many_faces_value, cursor='hand2', command=lambda: setattr(modules.globals, 'many_faces', many_faces_value.get()))
many_faces_switch.place(relx=0.6, rely=0.65)
# Add color correction toggle button
color_correction_value = ctk.BooleanVar(value=modules.globals.color_correction)
color_correction_switch = ctk.CTkSwitch(root, text='Fix Blueish Cam\n(force cv2 to use RGB instead of BGR)', variable=color_correction_value, cursor='hand2', command=lambda: setattr(modules.globals, 'color_correction', color_correction_value.get()))
color_correction_switch.place(relx=0.6, rely=0.70)
# nsfw_value = ctk.BooleanVar(value=modules.globals.nsfw_filter)
# nsfw_switch = ctk.CTkSwitch(root, text='NSFW filter', variable=nsfw_value, cursor='hand2', command=lambda: setattr(modules.globals, 'nsfw_filter', nsfw_value.get()))
# nsfw_switch.place(relx=0.6, rely=0.7)