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Google Brain AutoML
I get the error in the title when feeding a dataset to the tensorflow hub module like described on the site: https://tfhub.dev/tensorflow/efficientdet/lite3x/detection/1 The full error message is the following: ```...
I tried profiling the keras version of EfficientDet via tf.keras.callbacks.TensorBoard and judging by the results, it fails to capture the real execution times of different steps. OS: Windows 10 Python:...
So I wanted to train with the V1 AA policy but sadly I am getting various different errors: ``` tensorflow.python.framework.errors_impl.InvalidArgumentError: 2 root error(s) found. (0) Invalid argument: output dimensions must...
Hi there, I have a question regarding the `frozen_model.pb` I trained a fine-tuned model with a pre-trained checkpoint with efficientdet-d0 to make inferences on my own custom dataset. I exported...
First of all, thank you for the efforts to improve and maintain the project even after the paper is published. In my application I would like to do a more...
## Issue After exporting the pre-trained `efficientdet-lite1` checkpoint to Tflite using `model_inspect.py`, and then benchmarking the model on the Android GPU Delegate, I'm met with this error: ``` /data/local/tmp #...
1-trained dataset is： pascal voc 2012 2-config is： num_classes: 21 var_freeze_expr: '(efficientnet)' label_map: {1: aeroplane, 2: bicycle, 3: bird, 4: boat, 5: bottle, 6: bus, 7: car, 8: cat, 9:...
Hi everybody, I was looking for docs explaining how I can run the training on 2 machines with 4 gpus each one (the cluster is using SLURM)! Somebody can help...
First of all, thanks a lot for all your work! The problem I encounter is that EfficientDetV1 ignores the scope in which it is defined when attempting to reuse it....
Hi, I have been trying to export the v2 model to onnx and it fails. Do you know how to fix this? ``` tf.keras.backend.clear_session() model = effnetv2_model.EffNetV2Model(model_name=MODEL) _ = model(tf.ones([1,...
