init

app.py

@@ -155,24 +155,10 @@ def run(
     get_68lm(imgfile, lmfile5, lmfile68, detector, predictor)
 
     imgs = []
-    for part in ['eyel', 'eyer', 'nose', 'mouth']:
-        savepath = os.path.join(opt.cmask_dir + part, name+'.png')
-        get_partmask(imgfile, part, lmfile68, savepath)
-        #imgs.append(savepath)
-
-
-    # '''
-    # python test.py --dataroot dataset/test_single --name apdrawinggan++_author --model test --use_resnet --netG resnet_9blocks --which_epoch 150 --how_many 1000 --gpu_ids 0 --gpu_ids_p 0 --imagefolder images-single
-    # '''
-    # opt.dataroot='dataset/test_single'
-    # opt.name = 'apdrawinggan++_author'
-    # opt.model = 'test'
-    # opt.use_resnet = True
-    # opt.netG = 'resnet_9blocks'
-    # opt.which_epoch = 150
-    # opt.how_many = 1000
-    # opt.gpu_ids = '-1'
-    # opt.imagefolder = 'images-single'
+    # for part in ['eyel', 'eyer', 'nose', 'mouth']:
+    #     savepath = os.path.join(opt.cmask_dir + part, name+'.png')
+    #     get_partmask(imgfile, part, lmfile68, savepath)
+    #     #imgs.append(savepath)
 
     data_loader = CreateDataLoader(opt)
     dataset = data_loader.load_data()