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from typing import Union |
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from fastapi import FastAPI,File |
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from PIL import Image |
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from io import BytesIO |
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from transformers import DetrImageProcessor, DetrForObjectDetection |
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import torch |
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import requests |
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app = FastAPI(title="Object Detection", |
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docs_url="/", |
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description="Object detection in Image") |
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processor = DetrImageProcessor.from_pretrained("facebook/detr-resnet-50") |
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model = DetrForObjectDetection.from_pretrained("facebook/detr-resnet-50") |
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@app.post('/image') |
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def read_image(image_file: bytes = File(...)): |
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url = "http://images.cocodataset.org/val2017/000000039769.jpg" |
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image = Image.open(requests.get(url, stream=True).raw) |
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inputs = processor(images=image, return_tensors="pt") |
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outputs = model(**inputs) |
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target_sizes = torch.tensor([image.size[::-1]]) |
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results = processor.post_process_object_detection(outputs, target_sizes=target_sizes, threshold=0.9)[0] |
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return results |
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