Merge pull request #26 from ReolinkCameraAPI/dev
adding blocking and non-blocking rtsp stream
This commit is contained in:
@@ -1,11 +1,22 @@
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import os
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from threading import ThreadError
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import cv2
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from util import threaded
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class RtspClient:
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"""
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Inspiration from:
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- https://benhowell.github.io/guide/2015/03/09/opencv-and-web-cam-streaming
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- https://stackoverflow.com/questions/19846332/python-threading-inside-a-class
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- https://stackoverflow.com/questions/55828451/video-streaming-from-ip-camera-in-python-using-opencv-cv2-videocapture
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"""
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def __init__(self, ip, username, password, port=554, profile="main", use_udp=True, **kwargs):
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def __init__(self, ip, username, password, port=554, profile="main", use_udp=True, callback=None, **kwargs):
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"""
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RTSP client is used to retrieve frames from the camera in a stream
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:param ip: Camera IP
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:param username: Camera Username
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@@ -15,6 +26,10 @@ class RtspClient:
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:param use_upd: True to use UDP, False to use TCP
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:param proxies: {"host": "localhost", "port": 8000}
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"""
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self.capture = None
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self.thread_cancelled = False
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self.callback = callback
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capture_options = 'rtsp_transport;'
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self.ip = ip
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self.username = username
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@@ -22,7 +37,7 @@ class RtspClient:
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self.port = port
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self.proxy = kwargs.get("proxies")
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self.url = "rtsp://" + self.username + ":" + self.password + "@" + \
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self.ip + ":" + str(self.port) + "//h264Preview_01_" + profile
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self.ip + ":" + str(self.port) + "//h264Preview_01_" + profile
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if use_udp:
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capture_options = capture_options + 'udp'
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else:
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@@ -30,18 +45,67 @@ class RtspClient:
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os.environ["OPENCV_FFMPEG_CAPTURE_OPTIONS"] = capture_options
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def preview(self):
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""" Blocking function. Opens OpenCV window to display stream. """
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win_name = self.ip
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cap = cv2.VideoCapture(self.url, cv2.CAP_FFMPEG)
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ret, frame = cap.read()
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# opens the stream capture, but does not retrieve any frames yet.
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self._open_video_capture()
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while ret:
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cv2.imshow(win_name, frame)
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def _open_video_capture(self):
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# To CAP_FFMPEG or not To ?
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self.capture = cv2.VideoCapture(self.url, cv2.CAP_FFMPEG)
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ret, frame = cap.read()
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if (cv2.waitKey(1) & 0xFF == ord('q')):
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break
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def _stream_blocking(self):
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while True:
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try:
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if self.capture.isOpened():
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ret, frame = self.capture.read()
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if ret:
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yield frame
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else:
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print("stream closed")
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self.capture.release()
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return
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except Exception as e:
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print(e)
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self.capture.release()
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return
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cap.release()
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cv2.destroyAllWindows()
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@threaded
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def _stream_non_blocking(self):
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while not self.thread_cancelled:
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try:
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if self.capture.isOpened():
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ret, frame = self.capture.read()
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if ret:
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self.callback(frame)
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else:
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print("stream is closed")
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self.stop_stream()
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except ThreadError as e:
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print(e)
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self.stop_stream()
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def stop_stream(self):
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self.capture.release()
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self.thread_cancelled = True
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def open_stream(self):
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"""
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Opens OpenCV Video stream and returns the result according to the OpenCV documentation
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https://docs.opencv.org/3.4/d8/dfe/classcv_1_1VideoCapture.html#a473055e77dd7faa4d26d686226b292c1
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:param callback: The function to callback the cv::mat frame to if required to be non-blocking. If this is left
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as None, then the function returns a generator which is blocking.
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"""
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# Reset the capture object
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if self.capture is None or not self.capture.isOpened():
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self._open_video_capture()
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print("opening stream")
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if self.callback is None:
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return self._stream_blocking()
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else:
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# reset the thread status if the object was not re-created
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if not self.thread_cancelled:
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self.thread_cancelled = False
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return self._stream_non_blocking()
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@@ -1,4 +1,4 @@
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from .APIHandler import APIHandler
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__version__ = "0.0.4"
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__version__ = "0.0.5"
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VERSION = __version__
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@@ -9,6 +9,7 @@ from RtspClient import RtspClient
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class RecordingAPIMixin:
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"""API calls for recording/streaming image or video."""
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def get_recording_encoding(self) -> object:
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"""
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Get the current camera encoding settings for "Clear" and "Fluent" profiles.
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@@ -53,34 +54,35 @@ class RecordingAPIMixin:
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body = [{"cmd": "SetEnc",
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"action": 0,
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"param":
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{"Enc":
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{"audio": audio,
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"channel": 0,
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"mainStream": {
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"bitRate": main_bit_rate,
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"frameRate": main_frame_rate,
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"profile": main_profile,
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"size": main_size},
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"subStream": {
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"bitRate": sub_bit_rate,
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"frameRate": sub_frame_rate,
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"profile": sub_profile,
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"size": sub_size}}
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}}]
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{"Enc":
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{"audio": audio,
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"channel": 0,
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"mainStream": {
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"bitRate": main_bit_rate,
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"frameRate": main_frame_rate,
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"profile": main_profile,
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"size": main_size},
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"subStream": {
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"bitRate": sub_bit_rate,
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"frameRate": sub_frame_rate,
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"profile": sub_profile,
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"size": sub_size}}
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}}]
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return self._execute_command('SetEnc', body)
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###########
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# RTSP Stream
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###########
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def open_video_stream(self, profile: str = "main", proxies=None) -> None:
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def open_video_stream(self, callback=None, profile: str = "main", proxies=None):
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"""
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'https://support.reolink.com/hc/en-us/articles/360007010473-How-to-Live-View-Reolink-Cameras-via-VLC-Media-Player'
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Blocking function creates a generator and returns the frames as it is spawned
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:param profile: profile is "main" or "sub"
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:param proxies: Default is none, example: {"host": "localhost", "port": 8000}
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"""
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rtsp_client = RtspClient(
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ip=self.ip, username=self.username, password=self.password, proxies=proxies)
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rtsp_client.preview()
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ip=self.ip, username=self.username, password=self.password, proxies=proxies, callback=callback)
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return rtsp_client.open_stream()
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def get_snap(self, timeout: int = 3, proxies=None) -> Image or None:
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"""
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82
examples/streaming_video.py
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82
examples/streaming_video.py
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@@ -0,0 +1,82 @@
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import cv2
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from Camera import Camera
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def non_blocking():
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print("calling non-blocking")
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def inner_callback(img):
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cv2.imshow("name", maintain_aspect_ratio_resize(img, width=600))
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print("got the image non-blocking")
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key = cv2.waitKey(1)
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if key == ord('q'):
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cv2.destroyAllWindows()
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exit(1)
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c = Camera("192.168.1.112", "admin", "jUa2kUzi")
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# t in this case is a thread
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t = c.open_video_stream(callback=inner_callback)
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print(t.is_alive())
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while True:
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if not t.is_alive():
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print("continuing")
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break
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# stop the stream
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# client.stop_stream()
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def blocking():
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c = Camera("192.168.1.112", "admin", "jUa2kUzi")
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# stream in this case is a generator returning an image (in mat format)
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stream = c.open_video_stream()
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# using next()
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# while True:
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# img = next(stream)
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# cv2.imshow("name", maintain_aspect_ratio_resize(img, width=600))
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# print("got the image blocking")
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# key = cv2.waitKey(1)
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# if key == ord('q'):
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# cv2.destroyAllWindows()
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# exit(1)
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# or using a for loop
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for img in stream:
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cv2.imshow("name", maintain_aspect_ratio_resize(img, width=600))
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print("got the image blocking")
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key = cv2.waitKey(1)
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if key == ord('q'):
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cv2.destroyAllWindows()
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exit(1)
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# Resizes a image and maintains aspect ratio
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def maintain_aspect_ratio_resize(image, width=None, height=None, inter=cv2.INTER_AREA):
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# Grab the image size and initialize dimensions
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dim = None
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(h, w) = image.shape[:2]
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# Return original image if no need to resize
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if width is None and height is None:
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return image
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# We are resizing height if width is none
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if width is None:
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# Calculate the ratio of the height and construct the dimensions
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r = height / float(h)
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dim = (int(w * r), height)
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# We are resizing width if height is none
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else:
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# Calculate the ratio of the 0idth and construct the dimensions
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r = width / float(w)
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dim = (width, int(h * r))
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# Return the resized image
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return cv2.resize(image, dim, interpolation=inter)
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# Call the methods. Either Blocking (using generator) or Non-Blocking using threads
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# non_blocking()
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blocking()
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