# Input Image Formatting

Input Images

In addition to converting the model, Qualcomm® Neural Processing SDK also requires the
input image to be in a specific format that might be different
from the source framework.

In certain frameworks (Ex: Pytorch), the image may be presented as a tensor of shape
`(batch x channel x height x width)`, where width is the
fastest-changing dimension, followed by height, then color
channel. This means that all the pixel values of the first
color channel are contiguous in memory, followed by all the
pixel values of the next color channel, and so forth.

In Qualcomm® Neural Processing SDK, the image must be presented as a tensor of shape
`(batch x height x width x channel)`, where channel is the
fastest-changing dimension. This means that values for all the
color channels of a single pixel are contiguous in memory,
followed by all the color values of the next pixel, and so
forth.

If the batch dimension is greater than 1, the individual images
have to be manually concatenated together into a single file
for each batch.

See the figure below for a visual representations of the two
input image memory layouts.

**Note:**

The channel order used during inference must be the same as
that used during training. For example, Imagenet models trained
in certain frameworks may require a channel order of BGR.

Input Image for Imagenet Models

The Imagenet models in some frameworks (such as bvlc\_alexnet,
bvlc\_googlenet, etc.) are trained with BGR images (blue pixels
before green pixels before red pixels). The inference engine
must be provided the pixel values in the same channel order.

The following image shows the two different input image
memory layouts required by Pytorch and Qualcomm® Neural Processing SDK for the
bvlc\_alexnet model. The input image size is 227x227.

![../images/image_layouts.png](data:image/png;base64,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)

Input Image for MNIST Models

The MNIST models (such as lenet) in some frameworks require
single-channel grayscale images of size 28x28. Note that while
there is only one channel, an input tensor of 4 dimensions is
still required in these frameworks `(1x1x28x28)` and Qualcomm® Neural Processing SDK
`(1x28x28x1)`.

Output

The output of the example remains the same between Pytorch and
Qualcomm® Neural Processing SDK: a 1-dimensional tensor containing the probability of each
class, for each image in the batch.

For Imagenet models (such as bvlc\_alexnet), this is a tensor of
size 1000 for the 1000 Imagenet classes.

If the batch dimension of the model is greater than 1, the
individual output tensors will be concatenated together along
the batch dimension.

Last Published: Oct 02, 2025

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