# `mix classify_image`
[🔗](https://github.com/cocoa-xu/tflite_elixir/blob/main/lib/tasks/classify_image.ex#L1)

Image classification mix task: `mix help classify_image`

Command line arguments:

- `-m`, `--model`: *Required*. File path of .tflite file.
- `-i`, `--input`: *Required*. Image to be classified.
- `-l`, `--labels`: File path of labels file.
- `-k`, `--top`: Default to `1`. Max number of classification results.
- `-t`, `--threshold`: Default to `0.0`. Classification score threshold.
- `-c`, `--count`: Default to `1`. Number of times to run inference.
- `-a`, `--mean`: Default to `128.0`. Mean value for input normalization.
- `-s`, `--std`: Default to `128.0`. STD value for input normalization.
- `-j`, `--jobs`: Number of threads for the interpreter (only valid for CPU).
- `--use-tpu`: Default to false. Add this option to use Coral device.
- `--tpu`: Default to `""`. Coral device name.
  - `""`      -- any TPU device
  - `"usb"`   -- any TPU device on USB bus
  - `"pci"`   -- any TPU device on PCIe bus
  - `":N"`    -- N-th TPU device, e.g. `":0"`
  - `"usb:N"` -- N-th TPU device on USB bus, e.g. `"usb:0"`
  - `"pci:N"` -- N-th TPU device on PCIe bus, e.g. `"pci:0"`

Code based on [classify_image.py](https://github.com/google-coral/pycoral/blob/master/examples/classify_image.py)

# `run`

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*Consult [api-reference.md](api-reference.md) for complete listing*