bishe

make_source对应test：test_img，test_label_ori，test_head_ori，pose_source.npy
make_target对应train：train_img，train_label，head_img，pose.npy
normalization:
source_img = cv2.imread(‘./data/source/test_label_ori/00001.png’)[:,:,0]
source_img_rgb = cv2.imread(‘./data/source/test_img/00001.png’)
target_img = cv2.imread(‘./data/target/train/train_label/00001.png’)[:,:,0]
target_img_rgb = cv2.imread(‘./data/target/train/train_img/00001.png’)

save_dir = Path(‘./data/source/’)

loss:
label, inst, (real)image, feat
loss_G_GAN：
loss_G_GAN_Feat：
loss_G_VGG：
loss_D_real：
loss_D_fake：