def vg_collate(data, num_gpus=3, is_train=False, mode='det'):
assert mode in ('det', 'rel')
blob = Blob(mode=mode, is_train=is_train, num_gpus=num_gpus,
batch_size_per_gpu=len(data) // num_gpus)
for d in data:
blob.append(d)
blob.reduce()
return blob
def coco_collate(data, num_gpus=3, is_train=False):
blob = Blob(mode='det',
is_train=is_train,
num_gpus=num_gpus,
batch_size_per_gpu=len(data) // num_gpus)
for d in data:
blob.append(d)
blob.reduce()
return blob
def prepare_batch_img(self, index):
data = self[index]
blob = Blob(mode='rel',
is_train=True,
num_gpus=1,
batch_size_per_gpu=1,
mrcnn=self.mrcnn,
is_cuda=self.is_cuda)
blob.append(data)
blob.reduce()
return blob
def vg_collate(data,
num_gpus=1,
is_train=False,
mode='det',
torch_detector=False,
is_cuda=True):
assert mode in ('det', 'rel')
blob = Blob(mode=mode,
is_train=is_train,
num_gpus=num_gpus,
batch_size_per_gpu=len(data) // num_gpus,
torch_detector=torch_detector,
is_cuda=is_cuda)
for d in data:
blob.append(d)
blob.reduce()
return blob
