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Add Training Data Cache #38

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34 changes: 23 additions & 11 deletions dataloaders/davis_2016.py
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Original file line number Diff line number Diff line change
Expand Up @@ -7,6 +7,7 @@

from dataloaders.helpers import *
from torch.utils.data import Dataset
import torch


class DAVIS2016(Dataset):
Expand All @@ -27,6 +28,7 @@ def __init__(self, train=True,
self.transform = transform
self.meanval = meanval
self.seq_name = seq_name
self.data_cache = {}

if self.train:
fname = 'train_seqs'
Expand Down Expand Up @@ -70,23 +72,20 @@ def __len__(self):
return len(self.img_list)

def __getitem__(self, idx):
img, gt = self.make_img_gt_pair(idx)
sample = self.make_img_gt_pair(idx)

sample = {'image': img, 'gt': gt}

if self.seq_name is not None:
fname = os.path.join(self.seq_name, "%05d" % idx)
sample['fname'] = fname

if self.transform is not None:
sample = self.transform(sample)

return sample

def make_img_gt_pair(self, idx):
"""
Make the image-ground-truth pair
"""

if idx in self.data_cache:
return self.data_cache[idx]

img = cv2.imread(os.path.join(self.db_root_dir, self.img_list[idx]))
if self.labels[idx] is not None:
label = cv2.imread(os.path.join(self.db_root_dir, self.labels[idx]), 0)
Expand All @@ -102,10 +101,23 @@ def make_img_gt_pair(self, idx):
img = np.subtract(img, np.array(self.meanval, dtype=np.float32))

if self.labels[idx] is not None:
gt = np.array(label, dtype=np.float32)
gt = gt/np.max([gt.max(), 1e-8])
gt = np.array(label, dtype=np.float32)
gt = gt / np.max([gt.max(), 1e-8])

sample = {'image': img, 'gt': gt}

if self.seq_name is not None:
fname = os.path.join(self.seq_name, "%05d" % idx)
sample['fname'] = fname

return img, gt
if self.transform is not None:
sample = self.transform(sample)

sample['image'] = torch.tensor(sample['image']).cuda()
sample['gt'] = torch.tensor(sample['gt']).cuda()

self.data_cache[idx] = sample
return sample

def get_img_size(self):
img = cv2.imread(os.path.join(self.db_root_dir, self.img_list[0]))
Expand Down
7 changes: 3 additions & 4 deletions train_online.py
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Original file line number Diff line number Diff line change
Expand Up @@ -94,12 +94,11 @@
tr.ToTensor()])
# Training dataset and its iterator
db_train = db.DAVIS2016(train=True, db_root_dir=db_root_dir, transform=composed_transforms, seq_name=seq_name)
trainloader = DataLoader(db_train, batch_size=p['trainBatch'], shuffle=True, num_workers=1)
trainloader = DataLoader(db_train, batch_size=p['trainBatch'], shuffle=True)

# Testing dataset and its iterator
db_test = db.DAVIS2016(train=False, db_root_dir=db_root_dir, transform=tr.ToTensor(), seq_name=seq_name)
testloader = DataLoader(db_test, batch_size=1, shuffle=False, num_workers=1)

testloader = DataLoader(db_test, batch_size=1, shuffle=False)

num_img_tr = len(trainloader)
num_img_ts = len(testloader)
Expand All @@ -119,7 +118,7 @@

# Forward-Backward of the mini-batch
inputs.requires_grad_()
inputs, gts = inputs.to(device), gts.to(device)
# inputs, gts = inputs.to(device), gts.to(device)

outputs = net.forward(inputs)

Expand Down