ask for the code of data preprocessing before I3d

[marsplant]

thank you for your excellent work!

I saw people met the same problem of data preprocessing on the I3D feature extraction.

Can you share the code of data preprocessing before I3d ?

Can you specify exactly how you do the tenCrop on an image ?

thanks!

[tianyu0207]

thank you for your excellent work!

I saw people met the same problem of data preprocessing on the I3D feature extraction.

Can you share the code of data preprocessing before I3d ?

Can you specify exactly how you do the tenCrop on an image ?

thanks!

Below is my feature extraction setup.

mean = [114.75, 114.75, 114.75]
std = [57.375, 57.375, 57.375]

split == '10_crop_ucf':
transform = transforms.Compose([
gtransforms.GroupResize(256),
gtransforms.GroupTenCrop(224),
gtransforms.ten_crop_ToTensor(),
gtransforms.GroupNormalize_ten_crop(mean, std),
gtransforms.LoopPad(max_len),
])

class GroupTenCrop(object):
def init(self, size):
transform = torchvision.transforms.Compose([
torchvision.transforms.TenCrop(size),
torchvision.transforms.Lambda(lambda crops: torch.stack([torchvision.transforms.ToTensor()(crop) for crop in crops])),
])
self.worker = transform
def call(self, img_group):
return [self.worker(img) for img in img_group]

class ToTensor(object):
def init(self):
self.worker = lambda x: F.to_tensor(x) * 255
def call(self, img_group):
img_group = [self.worker(img) for img in img_group]
return torch.stack(img_group, 0)

[DungVo1507]

Hi @marsplant,
I am also looking for a way to extract i3d features on my dataset. I don't know if you have succeeded in extracting i3d features or not? If successful can you guide me?
Thank you so much!

[daviduarte]

Can you release the LoopPad part?

Thank you!

[zimengxueying]

Hi @marsplant, I am also looking for a way to extract i3d features on my dataset. I don't know if you have succeeded in extracting i3d features or not? If successful can you guide me? Thank you so much!

Sorry to bother you... Have ever solved the problem? If successful can you guide me?
Thank you so much!