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cleanup and update readme

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blakeblackshear
2019-03-30 07:58:31 -05:00
parent 4476bd8a13
commit e0b9b616ce
12 changed files with 74 additions and 278 deletions
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5
frigate/video.py
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@@ -8,11 +8,10 @@ import multiprocessing as mp
from object_detection.utils import visualization_utils as vis_util
from . util import tonumpyarray
from . object_detection import FramePrepper
from . objects import ObjectCleaner, ObjectParser, BestPersonFrame
from . objects import ObjectCleaner, BestPersonFrame
from . mqtt import MqttObjectPublisher
# fetch the frames as fast a possible, only decoding the frames when the
# detection_process has consumed the current frame
# fetch the frames as fast a possible and store current frame in a shared memory array
def fetch_frames(shared_arr, shared_frame_time, frame_lock, frame_ready, frame_shape, rtsp_url):
# convert shared memory array into numpy and shape into image array
arr = tonumpyarray(shared_arr).reshape(frame_shape)