Person Counter using torch
Project description
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()
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