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Fix deprecation warning of scipy.misc.imsave and greyscale seg masks #34

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Fix deprecation warning of scipy.misc.imsave and greyscale seg masks #34

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16 changes: 9 additions & 7 deletions train_online.py
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Original file line number Diff line number Diff line change
Expand Up @@ -17,7 +17,7 @@
from dataloaders import davis_2016 as db
from dataloaders import custom_transforms as tr
from util import visualize as viz
import scipy.misc as sm
import imageio
import networks.vgg_osvos as vo
from layers.osvos_layers import class_balanced_cross_entropy_loss
from dataloaders.helpers import *
Expand Down Expand Up @@ -180,13 +180,15 @@

outputs = net.forward(inputs)

for jj in range(int(inputs.size()[0])):
pred = np.transpose(outputs[-1].cpu().data.numpy()[jj, :, :, :], (1, 2, 0))
pred = 1 / (1 + np.exp(-pred))
pred = np.squeeze(pred)
pred = torch.sigmoid(outputs[-1])
pred = pred >= 0.5
pred = 255 * pred
pred = pred.cpu().numpy()

# Save the result, attention to the index jj
sm.imsave(os.path.join(save_dir_res, os.path.basename(fname[jj]) + '.png'), pred)
for jj in range(inputs.size(0)):
imageio.imsave(
os.path.join(save_dir_res, os.path.basename(fname[jj]) + '.png'),
np.transpose(pred[jj], (1, 2, 0)).astype(np.uint8))

if vis_res:
img_ = np.transpose(img.numpy()[jj, :, :, :], (1, 2, 0))
Expand Down