The ImageTensorGenerator is a program for pre-processing a .jpg image before generating a .raw tensor file from it.
Build option: To build ModelAccuracyTool, pass the following options to Cmake:
| Cmd: | ||
|---|---|---|
| -h | --help | Display help messages |
| -f | --model-format | Format of the intended model file that uses the images.Different formats have different image normalization styles.Accepted values (caffe, tensorflow, tflite) |
| -i | --infile | Input image file to generate tensor from |
| -o | --outfile | Output raw tensor file path |
| -z | --output-type | The data type of the output tensors.If unset, defaults to “float” for all defined inputs. Accepted values (float, int or qasymm8) |
| --new-width | Resize image to new width. Keep original width if unspecified | |
| --new-height | Resize image to new height. Keep original height if unspecified | |
| -l | --layout | Output data layout, “NHWC” or “NCHW”. Default value: NHWC |
Example usage:
./ImageTensorGenerator -i /path/to/image/dog.jpg -o /output/path/dog.raw --new-width 224 --new-height 224