Skip to content
Branch: master
Find file History
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Type Name Latest commit message Commit time
Failed to load latest commit information.

TensorFlow Lite image classification program

This program uses a statically linked TensorFlow Lite library.



# apt install liblapack-dev libatlas-dev
# python -m pip install scipy

TensorFlow library

$ ck install package:lib-tflite-0.1.7-src-static [--target_os=android23-arm64]

NB: Use --target_os=android23-arm64 to build for Android API 23 (v6.0 "Marshmallow") or similar.

TensorFlow models

Install a model providing a graph as tflite file e.g.:

$ ck install package:tensorflowmodel-mobilenet-v1-1.0-224-2018_02_22-py
$ ck install package:tensorflowmodel-mobilenet-v2-1.0-224-py

ImageNet dataset

$ ck install package --tags=small_dataset,imagenet,raw,val
$ ck install package:imagenet-2012-aux 


$ ck compile program:image-classification-tflite [--target_os=android23-arm64]


$ ck run program:image-classification-tflite [--target_os=android23-arm64]

Program parameters

Input image parameters


If set, the program will classify a single image instead of iterating over a dataset. When only the name of an image is specified, it is assumed that the image is in the ImageNet dataset.

$ ck run program:image-classification-tflite --env.CK_IMAGE_FILE=/tmp/images/path-to-image.jpg
$ ck run program:image-classification-tflite --env.CK_IMAGE_FILE=ILSVRC2012_val_00000011.JPEG


If set to YES, then all previously cached images will be erased.

Default: NO.

Input preprocessing parameters


The size of an intermediate image. If this preprocessing parameter is set to a value greater than the input image size defined by the model, input images will be first scaled to this size and then cropped to the input size.

For example, if --env.CK_TMP_IMAGE_SIZE=256 is specified for MobileNets models with the input image resolution of 224, then input images will be first resized to 256x256 and then cropped to 224x224.

Default: 0.


The percentage of the central image region to crop. If this preprocessing parameter is set to a value between 0 and 100, then loaded images will be cropped according this percentage and then scaled to the input image size defined by the model.

Default: 87.5.

NB: If CK_TMP_IMAGE_SIZE is set and valid, this parameter is not used.


If set to YES, then the mean value will be subtracted from the input image.

Default: YES.

You can’t perform that action at this time.