ContingPeople / app.py
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Update app.py
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import cv2
import gradio as gr
from ultralytics import YOLO
# ── Config ─────────────────────────────────────────────
MODEL_PATH = "yolov8n.pt"
CONF_THRES = 0.30
LINE_RATIO = 0.50
# ───────────────────────────────────────────────────────
model = YOLO(MODEL_PATH)
memory, in_count, out_count = {}, 0, 0
def count_people(frame_rgb):
global memory, in_count, out_count
if frame_rgb is None:
return None, ""
frame_bgr = cv2.cvtColor(frame_rgb, cv2.COLOR_RGB2BGR)
h, w = frame_bgr.shape[:2]
line_y = int(h * LINE_RATIO)
results = model.track(frame_bgr,
classes=[0], conf=CONF_THRES,
persist=True, verbose=False)
annotated = frame_bgr.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 = (x1 + x2) // 2, (y1 + y2) // 2
tid = int(box.id[0]) if box.id is not None else -1
prev_cy = memory.get(tid, cy)
if prev_cy < line_y <= cy:
in_count += 1 # entró
elif prev_cy > line_y >= cy:
out_count += 1 # salió
memory[tid] = cy
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)
total = in_count - out_count
label = f"In: {in_count} | Out: {out_count} | Ocupación: {total}"
annotated_rgb = cv2.cvtColor(annotated, cv2.COLOR_BGR2RGB)
return annotated_rgb, label
def reset_counts():
global memory, in_count, out_count
memory, in_count, out_count = {}, 0, 0
return None, ""
with gr.Blocks(title="Contador de personas (entrada única)") as demo:
gr.Markdown("# Contador de personas (entrada única)")
with gr.Row():
cam = gr.Image(sources=["webcam"], streaming=True, label="frame")
out_img = gr.Image(label="Video")
out_lbl = gr.Text(label="Contador")
btn_clear = gr.Button("Limpiar")
cam.stream(count_people, inputs=[cam], outputs=[out_img, out_lbl])
btn_clear.click(reset_counts, outputs=[out_img, out_lbl])
# límite de cola (para que no se llene si baja el FPS)
demo.queue(max_size=60)
demo.launch()