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batch-face-swap
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fix #14 and counting faces when path is not used

pull/17/head
kex0 2023-01-28 00:48:37 +01:00
parent 1accdc7c4f
commit 2b023f09ef
2 changed files with 39 additions and 19 deletions
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37
scripts/batch_face_swap.py
View File

@ -16,7 +16,7 @@ from modules.shared import opts, cmd_opts, state
import cv2
import numpy as np
from PIL import Image, ImageOps, ImageDraw, UnidentifiedImageError
from PIL import Image, ImageOps, ImageDraw, ImageFilter, UnidentifiedImageError
import math
@ -198,7 +198,6 @@ def faceSwap(p, masks, image, finishedImages, invertMask, forced_filename, pathT
mask = mask.crop(crop_region)
image_mask = images.resize_image(2, mask, p.width, p.height)
image = image.crop(crop_region)
image = images.resize_image(2, image, p.width, p.height)
@ -210,10 +209,11 @@ def faceSwap(p, masks, image, finishedImages, invertMask, forced_filename, pathT
image = imageOriginal
for j in range(p.batch_size):
image = overlay_image
image = imageOriginal
for k in range(len(generatedImages)):
image = apply_overlay(generatedImages[k][j], paste_to[k], image)
mask = Image.fromarray(masks[k])
mask = mask.filter(ImageFilter.GaussianBlur(p.mask_blur))
image = apply_overlay(generatedImages[k][j], paste_to[k], image, mask)
if pathToSave != "":
if opts.samples_format == "png":
@ -388,14 +388,30 @@ def generateImages(p, path, searchSubdir, viewResults, divider, howSplit, saveMa
# RUN IF PATH IS NOT INSERTED AND IMAGE IS
if path == '' and p.init_images[0] != None:
print(f"\nWill process {len(p.init_images)} images, creating {p.n_iter * p.batch_size} new images for each.")
state.job_count = len(p.init_images) * p.n_iter
state.job = f"{1} out of {len(p.init_images)}"
forced_filename = None
image = p.init_images[0]
width, height = image.size
if countFaces:
print("\nCounting faces...")
skip = 0
totalNumberOfFaces = findFaces(image, width, height, divider, onlyHorizontal, onlyVertical, None, totalNumberOfFaces, singleMaskPerImage, countFaces, maskSize, skip)
if not onlyMask and countFaces:
print(f"\nWill process {len(p.init_images)} images, found {totalNumberOfFaces} faces, generating {p.n_iter * p.batch_size} new images for each.")
state.job_count = totalNumberOfFaces * p.n_iter
elif not onlyMask and not countFaces:
print(f"\nWill process {len(p.init_images)} images, creating {p.n_iter * p.batch_size} new images for each.")
state.job_count = len(p.init_images) * p.n_iter
if countFaces:
state.job = f"{1} out of {totalNumberOfFaces}"
totalNumberOfFaces = 0
wasCountFaces = True
countFaces = False
else:
state.job = f"{1} out of {len(p.init_images)}"
if not onlyMask:
if overrideDenoising == True:
p.denoising_strength = 0.5
@ -469,6 +485,9 @@ def generateImages(p, path, searchSubdir, viewResults, divider, howSplit, saveMa
if not onlyMask:
finishedImages = faceSwap(p, masks, image, finishedImages, invertMask, forced_filename, pathToSave, info, selectedTab)
if wasCountFaces == True:
countFaces = True
print(f"Found {totalNumberOfFaces} faces in {len(p.init_images)} images.")
elif selectedTab == "existingMasksTab":

21
scripts/bfs_utils.py
View File

@ -1,7 +1,7 @@
from modules import images
from modules.shared import opts
from PIL import Image, ImageOps
from PIL import Image, ImageOps, ImageChops
import mediapipe as mp
import numpy as np
@ -32,16 +32,17 @@ def getFacialLandmarks(image):
return facelandmarks
def apply_overlay(image, paste_loc, overlay):
if paste_loc is not None:
x, y, w, h = paste_loc
base_image = Image.new('RGBA', (overlay.width, overlay.height))
image = images.resize_image(1, image, w, h)
base_image.paste(image, (x, y))
image = base_image
def apply_overlay(image, paste_loc, imageOriginal, mask):
x, y, w, h = paste_loc
base_image = Image.new('RGBA', (imageOriginal.width, imageOriginal.height))
image = images.resize_image(1, image, w, h)
base_image.paste(image, (x, y))
face = base_image
new_mask = ImageChops.multiply(face.getchannel("A"), mask)
face.putalpha(new_mask)
image = image.convert('RGBA')
image.alpha_composite(overlay)
imageOriginal = imageOriginal.convert('RGBA')
image = Image.alpha_composite(imageOriginal, face)
return image