piedemo
git clone https://github.com/NVlabs/stylegan3
cd stylegan3
piedemo web gen_images:generate_images
from PIL import Image
import torch
from torchvision.models import resnet50
from torchvision.transforms import transforms as T
import pandas as pd
from piedemo.checkpoint import PretrainedCheckpoint
from piedemo.fields.outputs.piegraph import PieGraph
ckpt = PretrainedCheckpoint(
url="https://raw.githubusercontent.com/xmartlabs/caffeflow/master/examples/imagenet/imagenet-classes.txt",
filename="imagenet_classes.txt")
with open(str(ckpt.download()), "r") as f:
categories = [s.strip() for s in f.readlines()]
model = resnet50(pretrained=True)
model.eval()
preprocess = T.Compose([
T.Resize([256, 256]),
T.CenterCrop(224),
T.PILToTensor(),
T.ConvertImageDtype(torch.float),
T.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])
])
def classify(img: Image.Image):
print(img)
if img.size == (0, 0):
return {
"output": pd.DataFrame({}),
"pie": PieGraph()
}
batch = preprocess(img).unsqueeze(0)
prediction = model(batch).squeeze(0).softmax(0)
class_ids = prediction.argsort()[-5:].tolist()[::-1]
scores = [prediction[class_id].item() for class_id in class_ids]
names = [categories[class_id] for class_id in class_ids]
return {
"output": pd.DataFrame({
'categories': names,
'scores': scores
}),
"pie": PieGraph([{"label": n, "prob": s} for n, s in zip(names, scores)])
}
piedemo web infer_resnet_imagenet:classify
Set up rclone tool for better experience:
curl https://rclone.org/install.sh | sudo bash
rclone config
After that use Google Drive hosting and verify your account.
If you use remote connection, verify your account via port forwarding.
ssh -L localhost:53682:localhost:53682 ...
You can simply host your file in Google Drive and use it everywhere you want:
python -m piedemo host 1.txt
Host model option
Transferred: 0 B / 0 B, -, 0 B/s, ETA -
Checks: 1 / 1, 100%
Elapsed time: 1.7s
Url:
https://drive.google.com/open?id=1nN64iU6EY490YMjI3GHfNQhbN4tVmhtu
Filename:
1.txt
Code:
PretrainedCheckpoint(gdrive='1nN64iU6EY490YMjI3GHfNQhbN4tVmhtu',
filename='1.txt')
