zhreshold commented on a change in pull request #9808: [MXNET-267] Ssd camera 
demo
URL: https://github.com/apache/incubator-mxnet/pull/9808#discussion_r179674488
 
 

 ##########
 File path: example/ssd/demo.py
 ##########
 @@ -131,13 +138,59 @@ def parse_data_shape(data_shape_str):
         raise ValueError("Unexpected data_shape: %s", data_shape_str)
     return data_shape
 
-if __name__ == '__main__':
-    args = parse_args()
-    if args.cpu:
-        ctx = mx.cpu()
-    else:
-        ctx = mx.gpu(args.gpu_id)
+def draw_detection(frame, det, class_names):
+    (klass, score, x0, y0, x1, y1) = det
+    klass_name = class_names[int(klass)]
+    h = frame.shape[0]
+    w = frame.shape[1]
+    # denormalize detections from [0,1] to the frame size
+    p0 = tuple(map(int, (x0*w,y0*h)))
+    p1 = tuple(map(int, (x1*w,y1*h)))
+    logging.info("detection: %s %s", klass_name, score)
+    cv2.rectangle(frame, p0, p1, (0,0,255), 2)
+    # Where to draw the text, a few pixels above the top y coordinate
+    tp0 = (p0[0], p0[1]-5)
+    draw_text = "{} {}".format(klass_name, score)
+    cv2.putText(frame, draw_text, tp0, cv2.FONT_HERSHEY_COMPLEX_SMALL, 0.5, 
(0,0,255))
 
+
+def network_path(prefix, network, data_shape):
+    return "{}{}_{}".format(prefix, network, data_shape)
+
+def run_camera(args,ctx):
+    assert args.batch_size == 1, "only batch size of 1 is supported"
+    logging.info("Detection threshold is {}".format(args.thresh))
+    iter = CameraIterator()
 
 Review comment:
   iter is reserved keyword

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