np.array(data) takes too long... can we replace it with something else?

[tispratik]

models/research/object_detection/object_detection_tutorial.ipynb

Line 296 in 1f48409

" return np.array(image.getdata()).reshape(\n",

In my benchmark, it see that it takes anywhere between 900 and 1200 milliseconds on a laptop with 16GiB RAM and 2.6 GHz Intel Core i7 processor. This is important as i am evaluating images from a live video stream from opencv and it is very slow.

[tispratik]

np.nsarray(pil_image) seems to be superfast... 1 ms as discussed below...

https://stackoverflow.com/a/52453540/238880

So, instead of

def load_image_into_numpy_array(image):
  (im_width, im_height) = image.size
  return np.array(image.getdata()).reshape(
      (im_height, im_width, 3)).astype(np.uint8)

can we simply go with below:

def load_image_into_numpy_array(image):
  return np.nsarray(image).astype(np.uint8)

I wonder if it will have any issue with inference...

[tensorflowbutler]

Hi There,
We are checking to see if you still need help on this, as this seems to be considerably old issue. Please update this issue with the latest information, code snippet to reproduce your issue and error you are seeing.
If we don't hear from you in the next 7 days, this issue will be closed automatically. If you don't need help on this issue any more, please consider closing this.

[tispratik]

I have provided code snippet above.

[kumariko]

@tispratik Could you please let us know if this issue still persists ? If it is resolved then please feel free to move this issue to close status ?Thanks!

[google-ml-butler]

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you.