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/tflite-micro-3.4.0-2.7.6/tensorflow/lite/micro/kernels/vexriscv/utils/
Dlog_parser.py255 def visualize_log(filename, top=None, title=None, show=False, save=True): argument
279 if save:
/tflite-micro-3.4.0-2.7.6/tensorflow/lite/micro/examples/person_detection/utils/
Draw_to_bitmap.py83 img.save(outputfile)
/tflite-micro-3.4.0-2.7.6/tensorflow/lite/micro/examples/micro_speech/apollo3/
DREADME.md9 * To save the captured audio to a text file (captured\_data.txt), run GDB
/tflite-micro-3.4.0-2.7.6/tensorflow/lite/micro/kernels/vexriscv/doc/
DDepthwiseConv2D_int8.md33 which can in turn save more energy on them or more importantly, enable more
/tflite-micro-3.4.0-2.7.6/tensorflow/lite/micro/examples/person_detection/
DREADME.md252 Once you save the file, we're done configuring the Arducam library.
272 // Commenting out the line is NOT essential but will save some FLASH space if
/tflite-micro-3.4.0-2.7.6/tensorflow/lite/micro/examples/magic_wand/
DREADME.md88 Next, save the file. Patching is now complete.
/tflite-micro-3.4.0-2.7.6/tensorflow/lite/micro/examples/hello_world/train/
Dtrain_hello_world_model.ipynb1753 "We'll now train and save the new model."
1771 "model.save(MODEL_TF)"
2794save with `tf.keras.models.save_model` or `model.save`, and confirm that the file \"keras.metadata…
2796 …rwriting _tracking_metadata in your class, this property has been used to save metadata in the Sav…