@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
# Now you can use these loaders to train a model # For example, using a pre-trained ResNet50 model = torchvision.models.resnet50(pretrained=True) # ... customize the model, e.g., change the final layer for your classes ...
Neither is weakness. Both are grace.
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