import os import numpy as np import cv2 from models import runmodel,loadmodel from util import mosaic,util,ffmpeg,filt,data from util import image_processing as impro ''' ---------------------Video Init--------------------- ''' def video_init(opt,path): util.clean_tempfiles() fps,endtime,height,width = ffmpeg.get_video_infos(path) if opt.fps !=0: fps = opt.fps ffmpeg.video2voice(path,'./tmp/voice_tmp.mp3') ffmpeg.video2image(path,'./tmp/video2image/output_%05d.'+opt.tempimage_type,fps) imagepaths=os.listdir('./tmp/video2image') imagepaths.sort() return fps,imagepaths,height,width ''' ---------------------Add Mosaic--------------------- ''' def addmosaic_img(opt,netS): path = opt.media_path print('Add Mosaic:',path) img = impro.imread(path) mask = runmodel.get_ROI_position(img,netS,opt)[0] img = mosaic.addmosaic(img,mask,opt) impro.imwrite(os.path.join(opt.result_dir,os.path.splitext(os.path.basename(path))[0]+'_add.jpg'),img) def addmosaic_video(opt,netS): path = opt.media_path fps,imagepaths = video_init(opt,path)[:2] # get position positions = [] for i,imagepath in enumerate(imagepaths,1): img = impro.imread(os.path.join('./tmp/video2image',imagepath)) mask,x,y,area = runmodel.get_ROI_position(img,netS,opt) positions.append([x,y,area]) cv2.imwrite(os.path.join('./tmp/ROI_mask',imagepath),mask) print('\r','Find ROI location:'+str(i)+'/'+str(len(imagepaths)),util.get_bar(100*i/len(imagepaths),num=35),end='') print('\nOptimize ROI locations...') mask_index = filt.position_medfilt(np.array(positions), 7) # add mosaic for i in range(len(imagepaths)): mask = impro.imread(os.path.join('./tmp/ROI_mask',imagepaths[mask_index[i]]),'gray') img = impro.imread(os.path.join('./tmp/video2image',imagepaths[i])) if impro.mask_area(mask)>100: img = mosaic.addmosaic(img, mask, opt) cv2.imwrite(os.path.join('./tmp/addmosaic_image',imagepaths[i]),img) print('\r','Add Mosaic:'+str(i+1)+'/'+str(len(imagepaths)),util.get_bar(100*i/len(imagepaths),num=35),end='') print() 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')) ''' ---------------------Style Transfer--------------------- ''' def styletransfer_img(opt,netG): print('Style Transfer_img:',opt.media_path) img = impro.imread(opt.media_path) img = runmodel.run_styletransfer(opt, netG, img) suffix = os.path.basename(opt.model_path).replace('.pth','').replace('style_','') impro.imwrite(os.path.join(opt.result_dir,os.path.splitext(os.path.basename(opt.media_path))[0]+'_'+suffix+'.jpg'),img) def styletransfer_video(opt,netG): path = opt.media_path positions = [] fps,imagepaths = video_init(opt,path)[:2] for i,imagepath in enumerate(imagepaths,1): img = impro.imread(os.path.join('./tmp/video2image',imagepath)) img = runmodel.run_styletransfer(opt, netG, img) cv2.imwrite(os.path.join('./tmp/style_transfer',imagepath),img) print('\r','Transfer:'+str(i)+'/'+str(len(imagepaths)),util.get_bar(100*i/len(imagepaths),num=35),end='') print() suffix = os.path.basename(opt.model_path).replace('.pth','').replace('style_','') ffmpeg.image2video( fps, './tmp/style_transfer/output_%05d.'+opt.tempimage_type, './tmp/voice_tmp.mp3', os.path.join(opt.result_dir,os.path.splitext(os.path.basename(path))[0]+'_'+suffix+'.mp4')) ''' ---------------------Clean Mosaic--------------------- ''' def get_mosaic_positions(opt,netM,imagepaths,savemask=True): # get mosaic position positions = [] for i,imagepath in enumerate(imagepaths,1): img_origin = impro.imread(os.path.join('./tmp/video2image',imagepath)) x,y,size,mask = runmodel.get_mosaic_position(img_origin,netM,opt) if savemask: cv2.imwrite(os.path.join('./tmp/mosaic_mask',imagepath), mask) positions.append([x,y,size]) print('\r','Find mosaic location:'+str(i)+'/'+str(len(imagepaths)),util.get_bar(100*i/len(imagepaths),num=35),end='') print('\nOptimize mosaic locations...') positions =np.array(positions) for i in range(3):positions[:,i] = filt.medfilt(positions[:,i],opt.medfilt_num) return positions def cleanmosaic_img(opt,netG,netM): path = opt.media_path print('Clean Mosaic:',path) img_origin = impro.imread(path) x,y,size,mask = runmodel.get_mosaic_position(img_origin,netM,opt) #cv2.imwrite('./mask/'+os.path.basename(path), mask) img_result = img_origin.copy() if size != 0 : img_mosaic = img_origin[y-size:y+size,x-size:x+size] if opt.traditional: img_fake = runmodel.traditional_cleaner(img_mosaic,opt) else: 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') impro.imwrite(os.path.join(opt.result_dir,os.path.splitext(os.path.basename(path))[0]+'_clean.jpg'),img_result) def cleanmosaic_video_byframe(opt,netG,netM): path = opt.media_path fps,imagepaths = video_init(opt,path)[:2] positions = get_mosaic_positions(opt,netM,imagepaths,savemask=False) # 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] if opt.traditional: img_fake = runmodel.traditional_cleaner(img_mosaic,opt) else: 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('\r','Clean Mosaic:'+str(i+1)+'/'+str(len(imagepaths)),util.get_bar(100*i/len(imagepaths),num=35),end='') print() 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_video_fusion(opt,netG,netM): path = opt.media_path N = 25 if 'HD' in os.path.basename(opt.model_path): INPUT_SIZE = 256 else: INPUT_SIZE = 128 fps,imagepaths,height,width = video_init(opt,path) positions = get_mosaic_positions(opt,netM,imagepaths,savemask=True) # clean mosaic img_pool = np.zeros((height,width,3*N), dtype='uint8') for i,imagepath in enumerate(imagepaths,0): x,y,size = positions[i][0],positions[i][1],positions[i][2] # image read stream mask = cv2.imread(os.path.join('./tmp/mosaic_mask',imagepath),0) if i==0 : for j in range(0,N): img_pool[:,:,j*3:(j+1)*3] = impro.imread(os.path.join('./tmp/video2image',imagepaths[np.clip(i+j-12,0,len(imagepaths)-1)])) else: img_pool[:,:,0:(N-1)*3] = img_pool[:,:,3:N*3] img_pool[:,:,(N-1)*3:] = impro.imread(os.path.join('./tmp/video2image',imagepaths[np.clip(i+12,0,len(imagepaths)-1)])) img_origin = img_pool[:,:,int((N-1)/2)*3:(int((N-1)/2)+1)*3] if size==0: # can not find mosaic, cv2.imwrite(os.path.join('./tmp/replace_mosaic',imagepath),img_origin) else: mosaic_input = np.zeros((INPUT_SIZE,INPUT_SIZE,3*N+1), dtype='uint8') mosaic_input[:,:,0:N*3] = impro.resize(img_pool[y-size:y+size,x-size:x+size,:], INPUT_SIZE) mask = impro.resize(mask,np.min(img_origin.shape[:2]))[y-size:y+size,x-size:x+size] mosaic_input[:,:,-1] = impro.resize(mask, INPUT_SIZE) mosaic_input = data.im2tensor(mosaic_input,bgr2rgb=False,use_gpu=opt.use_gpu,use_transform = False,is0_1 = False) unmosaic_pred = netG(mosaic_input) img_fake = data.tensor2im(unmosaic_pred,rgb2bgr = False ,is0_1 = False) 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('\r','Clean Mosaic:'+str(i+1)+'/'+str(len(imagepaths)),util.get_bar(100*i/len(imagepaths),num=35),end='') print() 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'))