On Her Back Or Belly 10 E69cb0d3 Imgsrcru May 2026

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Given an image, classify whether the subject is lying on their back or on their belly. on her back or belly 10 e69cb0d3 imgsrcru

import torch
import torch.nn as nn
from torchvision import transforms, models
Collect a dataset of images that are labeled as "on her back" or "on her belly." Ensure you have a significant number of images for each class to train a model effectively.
transform = transforms.Compose([
transforms.Resize((224, 224)),
transforms.ToTensor(),
]) Advantages:
from fastapi import FastAPI, File, UploadFile
app = FastAPI()
@app.post("/predict_pose")
async def predict(file: UploadFile = File(...)):
img = await file.read()
# Preprocess and run model
pose = predict_pose(img, model)
return {"pose": pose}
 Disadvantages: Given an image, classify whether the subject