joortif commited on
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Create app.py

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  1. app.py +24 -0
app.py ADDED
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+ import gradio as gr
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+ from transformers import DetrImageProcessor, DetrForObjectDetection
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+ import torch
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+ from PIL import Image, ImageDraw
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+
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+ processor = DetrImageProcessor.from_pretrained("joortif/practica_2")
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+ model = DetrForObjectDetection.from_pretrained("joortif/practica_2")
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+
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+ def detect_objects(img: Image.Image):
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+ inputs = processor(images=img, return_tensors="pt")
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+ outputs = model(**inputs)
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+
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+ target_sizes = torch.tensor([img.size[::-1]]) #
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+ results = processor.post_process_object_detection(
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+ outputs, target_sizes=target_sizes, threshold=0.9
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+ )[0]
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+
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+ draw = ImageDraw.Draw(img)
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+ for score, label, box in zip(results["scores"], results["labels"], results["boxes"]):
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+ box = [round(i, 2) for i in box.tolist()]
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+ draw.rectangle(box, outline="red", width=3)
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+ draw.text((box[0], box[1]), f"{model.config.id2label[label.item()]}: {score:.2f}", fill="red")
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+
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+ return img