Create app.py

app.py

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+# app.py
+import cv2
+import gradio as gr
+from ultralytics import YOLO
+
+# ── Config ─────────────────────────────────────────────
+MODEL_PATH = "yolov8n.pt"     # peso pre-entrenado (COCO)
+CONF_THRES = 0.3              # confianza mínima
+LINE_RATIO = 0.5              # línea virtual: mitad de la altura
+# ───────────────────────────────────────────────────────
+
+model = YOLO(MODEL_PATH)
+
+# Estado global
+memory = {}      # {track_id: previous_cy}
+in_count = 0
+out_count = 0
+
+def count_people(frame):
+    global memory, in_count, out_count
+
+    h, w = frame.shape[:2]
+    line_y = int(h * LINE_RATIO)
+
+    # Detección + tracking ByteTrack interno
+    results = model.track(frame, classes=[0], conf=CONF_THRES,
+                          persist=True, verbose=False)  # solo clase “person”
+
+    annotated = frame.copy()
+    cv2.line(annotated, (0, line_y), (w, line_y), (0, 255, 255), 2)
+
+    if results:
+        for box in results[0].boxes:
+            x1, y1, x2, y2 = map(int, box.xyxy[0])
+            cx, cy = int((x1 + x2) / 2), int((y1 + y2) / 2)
+            tid = int(box.id[0]) if box.id is not None else -1
+
+            # Dibujo
+            cv2.rectangle(annotated, (x1, y1), (x2, y2), (0, 255, 0), 1)
+            cv2.circle(annotated, (cx, cy), 3, (0, 0, 255), -1)
+            cv2.putText(annotated, str(tid), (x1, y1 - 5),
+                        cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 0, 0), 1)
+
+            # Lógica de cruce
+            prev_cy = memory.get(tid, cy)
+            if prev_cy < line_y <= cy:        # entra
+                in_count += 1
+            elif prev_cy > line_y >= cy:      # sale
+                out_count += 1
+            memory[tid] = cy
+
+    # Overlay de números
+    total = in_count - out_count
+    label = f"In: {in_count} | Out: {out_count} | Ocupación: {total}"
+    cv2.putText(annotated, label, (10, 30),
+                cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 2)
+
+    return annotated, label
+
+
+demo = gr.Interface(
+    fn=count_people,
+    inputs=gr.Image(source="webcam", streaming=True),
+    outputs=[gr.Image(), gr.Text()],
+    title="Contador de personas (entrada única)",
+    live=True,
+)
+
+if __name__ == "__main__":
+    demo.launch()