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@@ -41,9 +41,11 @@ vecToDict(vec::Vector{UInt8}) = copy(JSON3.read(String(vec)))
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_, frame_1 = webcam.read() # julia's PythonCall python-obj numpy array
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_, frame_1 = webcam.read() # julia's PythonCall python-obj numpy array
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# frame_1 = cv.imread("20.jpg")
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# frame_1 = cv.imread("20.jpg")
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_, buffer = cv.imencode(".jpg", frame_1)
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# compress image data formats in order to make network transfer easier.
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_, buffer = cv.imencode(".jpg", frame_1)
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jpg_as_pyStr = base64.b64encode(buffer).decode("utf-8")
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jpg_as_pyStr = base64.b64encode(buffer).decode("utf-8")
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jpg_as_juliaStr = pyconvert(String, jpg_as_pyStr)
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jpg_as_juliaStr = pyconvert(String, jpg_as_pyStr) # for base64, python string or julia string is the same
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juliaDict = Dict("img"=> jpg_as_juliaStr)
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juliaDict = Dict("img"=> jpg_as_juliaStr)
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publish(mqttClient, "sometopic", JSON3.write(juliaDict)) # mqtt publish
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publish(mqttClient, "sometopic", JSON3.write(juliaDict)) # mqtt publish
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@@ -52,7 +54,7 @@ vecToDict(vec::Vector{UInt8}) = copy(JSON3.read(String(vec)))
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# server - receive image #
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# server - receive image #
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# ---------------------------------------------------------------------------- #
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# ---------------------------------------------------------------------------- #
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img_str = payload["img"] # payload received thru mqtt
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img_str = payload["img"] # payload received thru mqtt
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buf = base64.b64decode(juliaDict["img"])
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buf = base64.b64decode(img_str)
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buffer = np.frombuffer(buf, dtype=np.uint8)
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buffer = np.frombuffer(buf, dtype=np.uint8)
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frame_1 = cv.imdecode(buffer, 1)
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frame_1 = cv.imdecode(buffer, 1)
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frame_1_julia = pyconvert(Array, frame_1);
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frame_1_julia = pyconvert(Array, frame_1);
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