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rwightman / efficientdet-pytorch

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tpu problem with class values

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romanoss
romanoss commented May 31, 2020

Hi,
I try to get EfficientDet running on Kaggle TPUs following Alex Shonenkov's kernel

I am rather a beginner with python and pytorch - sorry...

the model runs ok on GPU - is it possible, that there is a problem with num_classes=1?

the call stack is like:

`def get_net(imgsize=IMG_SIZE, use_checkpoint=None):
config = get_efficientdet_config('tf_efficientdet_d4')
net = Effici

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good first issue

PINTO0309 / PINTO_model_zoo

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A repository that shares tuning results of trained models generated by Tensorflow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. OpenVINO.

tensorflow dbface quantization super-resolution bert deeplab mask-rcnn posenet sound-classification tensorflow-lite deeplabv3 openvino edgetpu mobilenetv3 mediapipe blazeface efficientdet integer-quantization facemesh objectron
  • Updated Aug 19, 2020
  • Python

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