efficientnet
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Implementation of EfficientNet model. Keras and TensorFlow Keras.
The `FixedDropout` (mentioned in https://github.com/qubvel/efficientnet/issues/39) was created to circumvent an issue in tensorflow.keras that has been fixed and merged (commit: https://github.com/tensorflow/tensorflow/commit/ab2644e7178312fc9c89f90d7c8e61f73f7c1f64) since. I think the `FixedDropout` class should be removed.
Kindly, I used EfficientNet B7 to classify face mask images with 2 classes, (Mask , No Mask) but the problem is with prediction from live video, the code of the...
Dear All, **** I created 2 models (**EfficientNetB0** with **imagenet** weights): A model using this repository, and a model using [Official Tensorflow](https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet) And I realized that the layers of them...
Dear author, your work on implementing EfficientNets for Keras is much appreciated. I'm using your **segmentation_models** library which in turn uses this library. I trained a model in pure Keras...
I can't seem to find this module
I try to load a model I created about in june 2019, but it doesnt load. I suspect it has something to do with the refactoring done on efficientnet. When...
My system: Windows 10, 32 GB RAM, RTX2060 6GB, Tensorflow 1.15.0, CUDA Runtime 11.0, CUDA@nvcc = 10.0.130, cuDNN 7.6.5, python 3.7.6. Is it because I am using conda 4.8.2? I...
keras = 2.2.4 tensorflow = 2.0.0 i tried this code from efficientnet.keras import EfficientNetB0 this is imported without error, but when i run following statements it throws `effnet = EfficientNetB0(weights=None,...
File "/home/dell/anaconda3/envs/edet/lib/python3.7/urllib/request.py", line 649, in http_error_default raise HTTPError(req.full_url, code, msg, hdrs, fp) urllib.error.HTTPError: HTTP Error 403: Forbidden please anybody help , thanking you
When running following code `base_model = efn.EfficientNetB0(include_top=False, weights='imagenet', input_shape=(256,256,1)) ` I get Traceback (most recent call last): File "models/discriminator.py", line 40, in model = discriminator((256,256,1)) File "models/discriminator.py", line 19, in...