app.py

import gradio as gr
from transformers import DetrImageProcessor, DetrForObjectDetection
import torch
from PIL import Image, ImageDraw

processor = DetrImageProcessor.from_pretrained("joortif/practica_2")
model = DetrForObjectDetection.from_pretrained("joortif/practica_2")

def detect_objects(img: Image.Image):
    inputs = processor(images=img, return_tensors="pt")
    outputs = model(**inputs)

    target_sizes = torch.tensor([img.size[::-1]])  #
    results = processor.post_process_object_detection(
        outputs, target_sizes=target_sizes, threshold=0.9
    )[0]

    draw = ImageDraw.Draw(img)
    for score, label, box in zip(results["scores"], results["labels"], results["boxes"]):
        box = [round(i, 2) for i in box.tolist()]
        draw.rectangle(box, outline="red", width=3)
        draw.text((box[0], box[1]), f"{model.config.id2label[label.item()]}: {score:.2f}", fill="red")
    
    return img