File size: 1,283 Bytes
8b79d57 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 |
"""
Loading model
model = torch.hub.load("PeterL1n/RobustVideoMatting", "mobilenetv3")
model = torch.hub.load("PeterL1n/RobustVideoMatting", "resnet50")
Converter API
convert_video = torch.hub.load("PeterL1n/RobustVideoMatting", "converter")
"""
dependencies = ['torch', 'torchvision']
import torch
from model import MattingNetwork
def mobilenetv3(pretrained: bool = True, progress: bool = True):
model = MattingNetwork('mobilenetv3')
if pretrained:
url = 'https://github.com/PeterL1n/RobustVideoMatting/releases/download/v1.0.0/rvm_mobilenetv3.pth'
model.load_state_dict(torch.hub.load_state_dict_from_url(url, map_location='cpu', progress=progress))
return model
def resnet50(pretrained: bool = True, progress: bool = True):
model = MattingNetwork('resnet50')
if pretrained:
url = 'https://github.com/PeterL1n/RobustVideoMatting/releases/download/v1.0.0/rvm_resnet50.pth'
model.load_state_dict(torch.hub.load_state_dict_from_url(url, map_location='cpu', progress=progress))
return model
def converter():
try:
from inference import convert_video
return convert_video
except ModuleNotFoundError as error:
print(error)
print('Please run "pip install av tqdm pims"')
|