Open ohsewon opened 6 years ago
Comment by git-bot-sec Monday Jul 30, 2018 at 10:04 GMT
:octocat: cibot: Thank you for posting issue #366. The person in charge will reply soon.
Comment by jijoong-moon Monday Jul 30, 2018 at 11:02 GMT
I can build toco successfully on Ubuntu 16.04 with command below:
$ ./bazel-0.15.2-install-linux-x86_64.sh # install bazel > 0.15
$ bazel build tensorflow/contrib/lite/toco:toco
$ ./bazel-bin/tensorflow/contrib/lite/toco/toco --input_file=./data/frozen_inference_graph.pb --output_file=./data/frozen_inference_graph.tflite --input_format=TENSORFLOW_GRAPHDEF --output_format=TFLITE --inference_type=QUANTIZED_UINT8 --input_shape="1,640,480,3" --input_array='image_tensor' --output_array='detection_boxes','detection_scores','num_detections','detection_classes' --std_value=127.5 --mean_value=127.5
But still there is some error. Need to do more.
Comment by hello-ahn Tuesday Jul 31, 2018 at 02:04 GMT
Actually, there is a model guide for object detection. Though I got the result of the model, it doesn't work properly. Below document can help you Running on mobile with TensorFlow Lite
Issue by jijoong-moon Monday Jul 30, 2018 at 10:04 GMT Originally opened as https://github.sec.samsung.net/STAR/nnstreamer/issues/366
Issue Description
May need Fast RCNN Model for object detection. The output of this RCNN is other/tensors.
However, it is somewhat difficult to find pre-translated tflite model. According to the tflite manual, we could use toco to translate flatbuffer. It is worth to try. ( It is much better if we could find the proper tflite model from internet.)