Joke09 commented on issue #13545: For inference, I have the same problem. The client send jpg to server, then the server use cv2 to do resize. When put the image data into the mx.nd.array, it's very slow. And the Utilization of GPU is low too. How to solve it? Thank you! URL: https://github.com/apache/incubator-mxnet/issues/13545#issuecomment-445162278 I have this code: ``` data = [mx.nd.array(im_arrays), mx.nd.array(im_infos)] data_shapes = [('data', im_arrays.shape), ('im_info', im_infos.shape)] data_batch = mx.io.DataBatch(data=data, label=None, provide_data=data_shapes, provide_label=None) self.module.forward(data_batch) ``` im_arrays is a numpy array and read from cv2. im_arrays.shape is [8,3,896,1024] Can someone help me speed up this code with image api. I'm not familiar with Mxnet.
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