| Name | person-counter JSON |
| Version |
1.1.30
JSON |
| download |
| home_page | |
| Summary | Person Counter using torch |
| upload_time | 2022-12-27 13:53:27 |
| maintainer | |
| docs_url | None |
| author | Olivier |
| requires_python | |
| license | |
| keywords |
python
person
counting
ai
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# 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()
Raw data
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