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arXiv2020-RIFE
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added openexr support

This commit is contained in:
Andriy Toloshny 2021-01-11 02:01:35 +00:00
parent 88c08bec0f
commit eb3923bfba
1 changed files with 17 additions and 7 deletions
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inference_img.py
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@ -8,8 +8,8 @@ import warnings
warnings.filterwarnings("ignore")
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
torch.set_grad_enabled(False)
if torch.cuda.is_available():
torch.set_grad_enabled(False)
torch.backends.cudnn.enabled = True
torch.backends.cudnn.benchmark = True
@ -22,12 +22,19 @@ model = Model()
model.load_model('./train_log', -1)
model.eval()
model.device()
img0 = cv2.imread(args.img[0])
img1 = cv2.imread(args.img[1])
img0 = (torch.tensor(img0.transpose(2, 0, 1)).to(device) / 255.).unsqueeze(0)
img1 = (torch.tensor(img1.transpose(2, 0, 1)).to(device) / 255.).unsqueeze(0)
if args.img[0].endswith('.exr') and args.img[1].endswith('.exr'):
img0 = cv2.imread(args.img[0], cv2.IMREAD_COLOR | cv2.IMREAD_ANYDEPTH)
img1 = cv2.imread(args.img[1], cv2.IMREAD_COLOR | cv2.IMREAD_ANYDEPTH)
img0 = (torch.tensor(img0.transpose(2, 0, 1)).to(device)).unsqueeze(0)
img1 = (torch.tensor(img1.transpose(2, 0, 1)).to(device)).unsqueeze(0)
else:
img0 = cv2.imread(args.img[0])
img1 = cv2.imread(args.img[1])
img0 = (torch.tensor(img0.transpose(2, 0, 1)).to(device) / 255.).unsqueeze(0)
img1 = (torch.tensor(img1.transpose(2, 0, 1)).to(device) / 255.).unsqueeze(0)
n, c, h, w = img0.shape
ph = ((h - 1) // 32 + 1) * 32
pw = ((w - 1) // 32 + 1) * 32
@ -48,4 +55,7 @@ for i in range(args.exp):
if not os.path.exists('output'):
os.mkdir('output')
for i in range(len(img_list)):
cv2.imwrite('output/img{}.png'.format(i), (img_list[i][0] * 255).byte().cpu().numpy().transpose(1, 2, 0)[:h, :w])
if args.img[0].endswith('.exr') and args.img[1].endswith('.exr'):
cv2.imwrite('output/img{}.exr'.format(i), (img_list[i][0]).cpu().numpy().transpose(1, 2, 0)[:h, :w], [cv2.IMWRITE_EXR_TYPE, cv2.IMWRITE_EXR_TYPE_HALF])
else:
cv2.imwrite('output/img{}.png'.format(i), (img_list[i][0] * 255).byte().cpu().numpy().transpose(1, 2, 0)[:h, :w])