def main():
if os.path.isdir(opt.media_path):
files = util.Traversal(opt.media_path)
else:
files = [opt.media_path]
if opt.mode == 'add':
netS = loadmodel.bisenet(opt, 'roi')
for file in files:
opt.media_path = file
if util.is_img(file):
core.addmosaic_img(opt, netS)
elif util.is_video(file):
core.addmosaic_video(opt, netS)
util.clean_tempfiles(opt, tmp_init=False)
else:
print('This type of file is not supported')
util.clean_tempfiles(opt, tmp_init=False)
elif opt.mode == 'clean':
netM = loadmodel.bisenet(opt, 'mosaic')
if opt.traditional:
netG = None
elif opt.netG == 'video':
netG = loadmodel.video(opt)
else:
netG = loadmodel.pix2pix(opt)
for file in files:
opt.media_path = file
if util.is_img(file):
core.cleanmosaic_img(opt, netG, netM)
elif util.is_video(file):
if opt.netG == 'video' and not opt.traditional:
core.cleanmosaic_video_fusion(opt, netG, netM)
else:
core.cleanmosaic_video_byframe(opt, netG, netM)
util.clean_tempfiles(opt, tmp_init=False)
else:
print('This type of file is not supported')
elif opt.mode == 'style':
netG = loadmodel.style(opt)
for file in files:
opt.media_path = file
if util.is_img(file):
core.styletransfer_img(opt, netG)
elif util.is_video(file):
core.styletransfer_video(opt, netG)
util.clean_tempfiles(opt, tmp_init=False)
else:
print('This type of file is not supported')
util.clean_tempfiles(opt, tmp_init=False)
def cleanmosaic_video_byframe(opt):
netG = loadmodel.pix2pix(opt)
net_mosaic_pos = loadmodel.unet_clean(opt)
path = opt.media_path
util.clean_tempfiles()
fps = ffmpeg.get_video_infos(path)[0]
ffmpeg.video2voice(path, './tmp/voice_tmp.mp3')
ffmpeg.video2image(path,
'./tmp/video2image/output_%05d.' + opt.tempimage_type)
positions = []
imagepaths = os.listdir('./tmp/video2image')
imagepaths.sort()
# get position
for imagepath in imagepaths:
img_origin = impro.imread(os.path.join('./tmp/video2image', imagepath))
x, y, size = runmodel.get_mosaic_position(img_origin, net_mosaic_pos,
opt)[:3]
positions.append([x, y, size])
print('Find mosaic location:', imagepath)
print('Optimize mosaic locations...')
positions = np.array(positions)
for i in range(3):
positions[:, i] = filt.medfilt(positions[:, i], opt.medfilt_num)
# clean mosaic
for i, imagepath in enumerate(imagepaths, 0):
x, y, size = positions[i][0], positions[i][1], positions[i][2]
img_origin = impro.imread(os.path.join('./tmp/video2image', imagepath))
img_result = img_origin.copy()
if size != 0:
img_mosaic = img_origin[y - size:y + size, x - size:x + size]
img_fake = runmodel.run_pix2pix(img_mosaic, netG, opt)
img_result = impro.replace_mosaic(img_origin, img_fake, x, y, size,
opt.no_feather)
cv2.imwrite(os.path.join('./tmp/replace_mosaic', imagepath),
img_result)
print('Clean Mosaic:', imagepath)
ffmpeg.image2video(
fps, './tmp/replace_mosaic/output_%05d.' + opt.tempimage_type,
'./tmp/voice_tmp.mp3',
os.path.join(
opt.result_dir,
os.path.splitext(os.path.basename(path))[0] + '_clean.mp4'))
def cleanmosaic_img(opt):
netG = loadmodel.pix2pix(opt)
net_mosaic_pos = loadmodel.unet_clean(opt)
path = opt.media_path
print('Clean Mosaic:', path)
img_origin = impro.imread(path)
x, y, size = runmodel.get_mosaic_position(img_origin, net_mosaic_pos,
opt)[:3]
img_result = img_origin.copy()
if size != 0:
img_mosaic = img_origin[y - size:y + size, x - size:x + size]
img_fake = runmodel.run_pix2pix(img_mosaic, netG, opt)
img_result = impro.replace_mosaic(img_origin, img_fake, x, y, size,
opt.no_feather)
else:
print('Do not find mosaic')
cv2.imwrite(
os.path.join(
opt.result_dir,
os.path.splitext(os.path.basename(path))[0] + '_clean.jpg'),
img_result)
mask = np.zeros(img_origin.shape, dtype='uint8')
mask = cv2.rectangle(mask, (x - size + entad, y - size + entad),
(x + size - entad, y + size - entad),
(255, 255, 255), -1)
mask = (cv2.blur(mask, (eclosion_num, eclosion_num)))
mask = mask / 255.0
img_tmp = np.zeros(img_origin.shape)
img_tmp[y - size:y + size, x - size:x + size] = img_fake
img_result = img_origin.copy()
img_result = (img_origin * (1 - mask) + img_tmp * mask).astype('uint8')
return img_result
netG = loadmodel.pix2pix(os.path.join(opt.model_dir, opt.model_name),
opt.model_type_netG,
use_gpu=opt.use_gpu)
net_mosaic_pos = loadmodel.unet(os.path.join(opt.model_dir,
opt.mosaic_position_model_name),
use_gpu=opt.use_gpu)
filepaths = util.Traversal(opt.input_dir)
for path in filepaths:
if util.is_img(path):
print('Clean Mosaic:', path)
img_origin = cv2.imread(path)
x, y, size = get_mosaic_position(img_origin)
img_result = img_origin.copy()
if size != 0:
img_mosaic = img_origin[y - size:y + size, x - size:x + size]
try:
from cores import Options, core
from util import util
from util import image_processing as impro
from models import loadmodel
except Exception as e:
print(e)
input('Please press any key to exit.\n')
sys.exit(0)
# python server.py --gpu_id 0 --model_path ./pretrained_models/mosaic/clean_face_HD.pth
opt = Options()
opt.parser.add_argument('--port', type=int, default=4000, help='')
opt = opt.getparse(True)
netM = loadmodel.bisenet(opt, 'mosaic')
netG = loadmodel.pix2pix(opt)
from flask import Flask, request
import base64
import shutil
app = Flask(__name__)
@app.route("/handle", methods=["POST"])
def handle():
result = {}
# to opencv img
try:
imgRec = request.form['img']
imgByte = base64.b64decode(imgRec)
def cleanmosaic_video_fusion(opt):
net = loadmodel.pix2pix(opt)
net_mosaic_pos = loadmodel.unet_clean(opt)
path = opt.media_path
N = 25
util.clean_tempfiles()
fps = ffmpeg.get_video_infos(path)[0]
ffmpeg.video2voice(path, './tmp/voice_tmp.mp3')
ffmpeg.video2image(path,
'./tmp/video2image/output_%05d.' + opt.tempimage_type)
positions = []
imagepaths = os.listdir('./tmp/video2image')
imagepaths.sort()
# get position
for imagepath in imagepaths:
img_origin = impro.imread(os.path.join('./tmp/video2image', imagepath))
# x,y,size = runmodel.get_mosaic_position(img_origin,net_mosaic_pos,opt)[:3]
x, y, size, mask = runmodel.get_mosaic_position(
img_origin, net_mosaic_pos, opt)
cv2.imwrite(os.path.join('./tmp/mosaic_mask', imagepath), mask)
positions.append([x, y, size])
print('Find mosaic location:', imagepath)
print('Optimize mosaic locations...')
positions = np.array(positions)
for i in range(3):
positions[:, i] = filt.medfilt(positions[:, i], opt.medfilt_num)
# clean mosaic
print('Clean mosaic...')
for i, imagepath in enumerate(imagepaths, 0):
print('Clean mosaic:', imagepath)
x, y, size = positions[i][0], positions[i][1], positions[i][2]
img_origin = impro.imread(os.path.join('./tmp/video2image', imagepath))
mask = cv2.imread(os.path.join('./tmp/mosaic_mask', imagepath), 0)
if size == 0:
cv2.imwrite(os.path.join('./tmp/replace_mosaic', imagepath),
img_origin)
else:
mosaic_input = np.zeros((256, 256, 3 * N + 1), dtype='uint8')
for j in range(0, N):
img = impro.imread(
os.path.join(
'./tmp/video2image',
imagepaths[np.clip(i + j - 12, 0,
len(imagepaths) - 1)]))
img = img[y - size:y + size, x - size:x + size]
img = impro.resize(img, 256)
mosaic_input[:, :, j * 3:(j + 1) * 3] = img
mask = impro.resize(mask, np.min(img_origin.shape[:2]))
mask = mask[y - size:y + size, x - size:x + size]
mask = impro.resize(mask, 256)
mosaic_input[:, :, -1] = mask
mosaic_input = data.im2tensor(mosaic_input,
bgr2rgb=False,
use_gpu=opt.use_gpu,
use_transform=False)
unmosaic_pred = net(mosaic_input)
unmosaic_pred = (unmosaic_pred.cpu().detach().numpy() * 255)[0]
img_fake = unmosaic_pred.transpose((1, 2, 0))
img_result = impro.replace_mosaic(img_origin, img_fake, x, y, size,
opt.no_feather)
cv2.imwrite(os.path.join('./tmp/replace_mosaic', imagepath),
img_result)
ffmpeg.image2video(
fps, './tmp/replace_mosaic/output_%05d.' + opt.tempimage_type,
'./tmp/voice_tmp.mp3',
os.path.join(
opt.result_dir,
os.path.splitext(os.path.basename(path))[0] + '_clean.mp4'))
def main():
if opt.mode == 'add':
net = loadmodel.unet(opt)
path = opt.media_path
if util.is_img(path):
print('Add Mosaic:', path)
img = impro.imread(path)
mask = runmodel.get_ROI_position(img, net, opt)[0]
img = mosaic.addmosaic(img, mask, opt)
cv2.imwrite(os.path.join(opt.result_dir, os.path.basename(path)),
img)
elif util.is_video(path):
util.clean_tempfiles()
fps = ffmpeg.get_video_infos(path)[0]
ffmpeg.video2voice(path, './tmp/voice_tmp.mp3')
ffmpeg.video2image(
path, './tmp/video2image/output_%05d.' + opt.tempimage_type)
imagepaths = os.listdir('./tmp/video2image')
imagepaths.sort()
# get position
positions = []
for imagepath in imagepaths:
imagepath = os.path.join('./tmp/video2image', imagepath)
print('Find ROI location:', imagepath)
img = impro.imread(imagepath)
mask, x, y, area = runmodel.get_ROI_position(img, net, opt)
positions.append([x, y, area])
cv2.imwrite(
os.path.join('./tmp/ROI_mask',
os.path.basename(imagepath)), mask)
print('Optimize ROI locations...')
mask_index = filt.position_medfilt(np.array(positions), 7)
# add mosaic
print('Add mosaic to images...')
for i in range(len(imagepaths)):
mask_path = os.path.join('./tmp/ROI_mask',
imagepaths[mask_index[i]])
mask = impro.imread(mask_path)
img = impro.imread(
os.path.join('./tmp/video2image', imagepaths[i]))
img = mosaic.addmosaic(img, mask, opt)
cv2.imwrite(
os.path.join('./tmp/addmosaic_image',
os.path.basename(imagepaths[i])), img)
ffmpeg.image2video(
fps, './tmp/addmosaic_image/output_%05d.' + opt.tempimage_type,
'./tmp/voice_tmp.mp3',
os.path.join(
opt.result_dir,
os.path.splitext(os.path.basename(path))[0] + '_add.mp4'))
elif opt.mode == 'clean':
netG = loadmodel.pix2pix(opt)
net_mosaic_pos = loadmodel.unet_clean(opt)
path = opt.media_path
if util.is_img(path):
print('Clean Mosaic:', path)
img_origin = impro.imread(path)
x, y, size = runmodel.get_mosaic_position(img_origin,
net_mosaic_pos, opt)
img_result = img_origin.copy()
if size != 0:
img_mosaic = img_origin[y - size:y + size, x - size:x + size]
img_fake = runmodel.run_pix2pix(img_mosaic, netG, opt)
img_result = impro.replace_mosaic(img_origin, img_fake, x, y,
size, opt.no_feather)
cv2.imwrite(os.path.join(opt.result_dir, os.path.basename(path)),
img_result)
elif util.is_video(path):
util.clean_tempfiles()
fps = ffmpeg.get_video_infos(path)[0]
ffmpeg.video2voice(path, './tmp/voice_tmp.mp3')
ffmpeg.video2image(
path, './tmp/video2image/output_%05d.' + opt.tempimage_type)
positions = []
imagepaths = os.listdir('./tmp/video2image')
imagepaths.sort()
# get position
for imagepath in imagepaths:
imagepath = os.path.join('./tmp/video2image', imagepath)
img_origin = impro.imread(imagepath)
x, y, size = runmodel.get_mosaic_position(
img_origin, net_mosaic_pos, opt)
positions.append([x, y, size])
print('Find mosaic location:', imagepath)
print('Optimize mosaic locations...')
positions = np.array(positions)
for i in range(3):
positions[:, i] = filt.medfilt(positions[:, i],
opt.medfilt_num)
# clean mosaic
for i, imagepath in enumerate(imagepaths, 0):
imagepath = os.path.join('./tmp/video2image', imagepath)
x, y, size = positions[i][0], positions[i][1], positions[i][2]
img_origin = impro.imread(imagepath)
img_result = img_origin.copy()
if size != 0:
img_mosaic = img_origin[y - size:y + size,
x - size:x + size]
img_fake = runmodel.run_pix2pix(img_mosaic, netG, opt)
img_result = impro.replace_mosaic(img_origin, img_fake, x,
y, size, opt.no_feather)
cv2.imwrite(
os.path.join('./tmp/replace_mosaic',
os.path.basename(imagepath)), img_result)
print('Clean Mosaic:', imagepath)
ffmpeg.image2video(
fps, './tmp/replace_mosaic/output_%05d.' + opt.tempimage_type,
'./tmp/voice_tmp.mp3',
os.path.join(
opt.result_dir,
os.path.splitext(os.path.basename(path))[0] +
'_clean.mp4'))
util.clean_tempfiles(tmp_init=False)