Python: Rcon

from rcon import Client client = Client('localhost', 25575, passwd='your_password') response = client.run('list') print(response)

import torch import torchvision.models as models from torchvision import transforms from PIL import Image model = models.resnet50(pretrained=True) model.eval() feature_extractor = torch.nn.Sequential(*list(model.children())[:-1]) rcon python

img = Image.open('image.jpg') preprocess = transforms.Compose([ transforms.Resize(256), transforms.CenterCrop(224), transforms.ToTensor(), transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]), ]) input_tensor = preprocess(img).unsqueeze(0) from rcon import Client client = Client('localhost', 25575,