person-counter 1.1.1

Person Counter using torch

Person counter

from opencv_stream import VideoStreamer, FpsDrawer from person_counter.model import PersonCounterModel, PersonCounterOutput import numpy as np import os

VIDEO_DIR = "D:/project/facebodydetection/facebodydetect/app/src/videos" def get_video(): paths = [ os.path.join(VIDEO_DIR, p) for p in os.listdir(VIDEO_DIR)] return np.random.choice(paths)

stream = VideoStreamer.from_video_input(get_video()) fps = FpsDrawer()

model = PersonCounterModel()

@stream.on_next_frame() def index(frame: np.ndarray):

result = model.predict(frame)

if result.is_ok(): output: PersonCounterOutput = result.unwrap() output.draw(frame) else: raise result.exception

fps.draw(frame)

stream.start()