comment here

src/interface.jl

@@ -30,7 +30,6 @@ vecToDict(vec::Vector{UInt8}) = copy(JSON3.read(String(vec)))
     cv = pyimport("cv2")
     base64 = pyimport("pybase64")
     np = pyimport("numpy")
-    jsons = pyimport("jsons")
 
     using imageUtils
 
@@ -43,18 +42,16 @@ vecToDict(vec::Vector{UInt8}) = copy(JSON3.read(String(vec)))
     # frame_1 = cv.imread("20.jpg")     
 
     _, buffer = cv.imencode(".jpg", frame_1)
-    jpg_as_text = base64.b64encode(buffer).decode("utf-8")
-    juliaDict = Dict("img"=> jpg_as_text)
-    pythonDict = pydict(juliaDict)
-    jsonStr = jsons.dumps(pythonDict)
-    # mqtt publish jsonStr
+    jpg_as_pyStr = base64.b64encode(buffer).decode("utf-8")
+    jpg_as_juliaStr = pyconvert(String, jpg_as_pyStr)
+    juliaDict = Dict("img"=> jpg_as_juliaStr)
+    publish(mqttClient, "sometopic", JSON3.write(juliaDict))    # mqtt publish
+    
 
     # ---------------------------------------------------------------------------- #
     #                            server - receive image                            #
     # ---------------------------------------------------------------------------- #
-    # mqtt receive jsonStr
-    pythonDict = jsons.loads(jsonStr)
-    juliaDict = pyconvert(Dict, pythonDict)
+    img_str = payload["img"]    # payload received thru mqtt
     buf = base64.b64decode(juliaDict["img"])
     buffer = np.frombuffer(buf, dtype=np.uint8)
     frame_1 = cv.imdecode(buffer, 1)
@@ -69,7 +66,6 @@ vecToDict(vec::Vector{UInt8}) = copy(JSON3.read(String(vec)))
     frame_2 = np.array(img_bgr)  # julia's PythonCall python-obj numpy array
 """
 
-
 # ---------------------------------------------------------------------------- #
 #                                     mqtt                                     #
 # ---------------------------------------------------------------------------- #