# Example run and img2raw usage for a ResNet-50 model

For ONNX models:

$ python3 /opt/qti-aic/scripts/qaic-model-configurator/model_configurator.py resnet50.onnx onnx -iter 5000 -precision Int8 -list-configs -batchsize 1 -cores 2,7-12 -mos 2 -ols 2 -instance 2,7 -input-list-file inputs_res.txt
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For an ONNX model with single device partitioning:

$ python3 /opt/qti-aic/scripts/qaic-model-configurator/model_configurator.py SsdResnet18_1MP.onnx onnx -iter 5000 -list-configs -batchsize 1 -cores 6 -mos 1,2,4,8 -ols 2,4 -instance 1 -input-list-file list.txt -width 224 -height 224 -reuse-single-file -enable-single-device-partitioning
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To generate raw files from jpg/png images for different batch sizes, use
the `img2raw` Python script. This script is imported by
the model configurator to generate raw files for different batch sizes
from a provided image directory.

img2raw.py [-h] [-batchsize BATCH_SIZE] -image-dir IMAGE_DIR
                    [-image-type {jpg,png}] -height IMGHEIGHT -width IMGWIDTH
                    [-no-nhwc-conversion] [-no-normalize] [-fp32-to-int8]
                    [-bgr-to-rgb] [-num-raw-files RAW_FILES_CNT]
                    [-reuse-single-file] [-output OUTPUT]
    
                    -h, --help show this help message and exit
                    -batchsize BATCH_SIZE   Output batch size, default 1
                    -image-dir IMAGE_DIR Input image directory
                    -image-type {jpg,png} jpg (default) or png
                    -height IMGHEIGHT output image height
                    -width IMGWIDTH output image width
                    -no-nhwc-conversion Disable conversion from NHWC to NCHW
                    -no-normalize Disable Normalization
                    -fp32-to-int8 Convert input from Fp32 to int8
                    -bgr-to-rgb Convert from BGR to RGB
                    -num-raw-files RAW_FILES_CNT  Number of raw files to generate default 1 (multiple of batchsize)
                    -reuse-single-file If set will reuse same image for multiple batches
                    -output OUTPUT Output Directory
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**Example img2raw.py**

The following example picks up four images from `JPEGImages_dir`, does scaling with provided
width and height, NHWC>NCHW, normalization, and merges the buffers into
a single raw image.

$ python3 /opt/qti-aic/scripts/qaic-model-configurator/img2raw.py -image-dir JPEGImages_dir -height 124 -width 124 -batchsize 4
    
    ls batch_size_4
        file-list.txt img_0.raw
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The img2raw options are:

- `-batchsize`: Output batch size, default 1.
- `-image-dir IMAGE_DIR`: Input image directory. The image directory can contain any
number of files, but the total should be more than the batch size \* num-raw-files.
- `-image-type Type`: Type of images in the image-dir (png/jpg).
- `-height IMGHEIGHT`, `-width IMGWIDTH`: Output image dimensions.
Input images are scaled to these dimensions.
- `-no-nhwc-conversion`: Input images are expected in NHWC format and
converted to NCHW. Add this flag to disable this conversion.
- `-no-normalize`: Disable normalization of images.
- `-fp32-to-int8`: Convert the output images in int8 format. (Disabled
by default.)
- `-bgr-to-rgb`: Convert input images from BGR to RGB format.
(Disabled by default.)
- `-num-raw-files`: How many raw files to generate (Default 1).
Example: If -batchsize=8 and if 16 images are present in the
directory, two raw files will be created. The image-dir should have at
least batch size \* num-raw-files files.
- `-reuse-single-file`: If set, will reuse the same image for
generating multibatch raw files. Only a single image from the
image-dir will be used.
- `-output`: Output directory where the files will be created. A text
file is also created in the same directory with the names of the raw
files generated.
- `-letterbox-resize`: Resize image as according to letterbox logic.
- `-normalize-255`: Normalization by dividing image by 255.
- `-iter`: Number of iterations (iter) for which input file should be
generated.

Last Published: Aug 25, 2026

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