From aa1c8d7edcc38d0c8f1ce26ec78c0eab3cc13b40 Mon Sep 17 00:00:00 2001
From: Arnaud Blanchard <arnaud.blanchard@ensea.fr>
Date: Fri, 15 Oct 2021 17:25:49 +0200
Subject: [PATCH] Exemple to stream an image
---
python/opencv_client.py | 24 ++++++++++++++++++++++++
python/opencv_server.py | 25 +++++++++++++++++++++++++
2 files changed, 49 insertions(+)
create mode 100644 python/opencv_client.py
create mode 100644 python/opencv_server.py
diff --git a/python/opencv_client.py b/python/opencv_client.py
new file mode 100644
index 0000000..1802684
--- /dev/null
+++ b/python/opencv_client.py
@@ -0,0 +1,24 @@
+import cv2
+import numpy
+
+from blc_network import BlcArrayTCP4Client
+client=BlcArrayTCP4Client("localhost", "31440")
+
+#these informations has been sent by the server
+height = client.dims[0]
+width = client.dims[1]
+deep = client.dims[2]
+
+print(height,"x",width,"x",deep, cleint.type, client.format)
+
+#We create an numpy array (equivalent to cv:Mat in C++ ) associated with the data of the client
+client_array = numpy.ndarray([height, width, deep], dtype=numpy.uint8, buffer=client.data, offset=0, strides=None, order='C')
+
+while(True):
+ client.recv_data()
+ #We even do not need a copy as the numpy array directly links to the data
+ cv2.imshow('client', client_array)
+ cv2.waitKey(1)
+
+
+
diff --git a/python/opencv_server.py b/python/opencv_server.py
new file mode 100644
index 0000000..3734f52
--- /dev/null
+++ b/python/opencv_server.py
@@ -0,0 +1,25 @@
+import cv2
+import numpy
+from blc_network import BlcArrayTCP4Server
+
+vid = cv2.VideoCapture(0)
+height = int(vid.get(cv2.CAP_PROP_FRAME_HEIGHT))
+width = int(vid.get(cv2.CAP_PROP_FRAME_WIDTH))
+deep=3 # 1 if it is in gray
+
+print(height,"x", width)
+
+server=BlcArrayTCP4Server("31440", 'UIN8', 'RGB3', [height, width, 3])
+print("Wait client")
+server.wait_connection()
+
+#We create an numpy array (equivalent to cv:Mat in C++ ) associated with the data of server
+server_array = numpy.ndarray([height, width, 3], dtype=numpy.uint8, buffer=server.data, offset=0, strides=None, order='C')
+
+while(True):
+ ret, img = vid.read()
+ #we copy the pixels of the image to the array of the server (i.e. the buffer: server.data)
+ numpy.copyto(server_array, img)
+ server.send_data()
+ cv2.imshow('server', server_array)
+ cv2.waitKey(1)
--
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