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Examples using TensorFlow Lite API to run inference on Coral devices
### Description Like #51 I experience the same. The example application classify.cc fails reading the resized_cat.bmp $ ./classify mobilenet_v1_1.0_224_quant_edgetpu.tflite imagenet_labels.txt resized_cat.bmp 0.0001 Cannot read image from resized_cat.bmp $ convert cat.bmp...
- Upgrade to latest libedgetpu with matching tensorflow library - Use bazel and share WORKSPACE for both examples - Added docker with cross compile supports
fixed issue"Coral Detection Demo wrong tflite file #24 "
Fix name error for downloading .tflite files. A reference issue was raised at https://github.com/tensorflow/tensorflow/issues/32204
This adds support for input images with different encodings. The classification version already does this: https://github.com/google-coral/tflite/blob/master/python/examples/classification/classify_image.py#L103
### Description chuih@▒▒▒▒_NOTE-BOOK MINGW64 ~/coral/pycoral (master) $ python3 examples/classify_image.py \ --model test_data/mobilenet_v2_1.0_224_inat_bird_quant_edgetpu.tflite \ --labels test_data/inat_bird_labels.txt \ --input test_data/parrot.jpg Traceback (most recent call last): File "C:\Users\chuih\coral\pycoral\examples\classify_image.py", line 121, in main() File...
feature enhancement request Hi there, I'm looking for a simple example that uses camera and outputs to monitor (similar to face_detect for example) with enough code for Coral Dev, that...
### Background In the latest version of Pillow (10.0.0), the `ANTIALIAS` attribute has been removed. This change caused the `classify_image.py` script to fail with an `AttributeError`. ### Changes - Replaced...