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I am running an inference (runmode=saved_model_infer, with d7x version) on my own images. They are located in "testdata" dir. The inference is successful, with the annotated images written to "serve_image_out"...

I have a dataset that has huge discrepancies in number of elements in different categories. Sometimes in evaluation set there are no representatives of some classes. What I found is...

Hi I am using `MultiWorkerMirrorStrategy` and `tf.estimator.train_and_evaluate` for distributed training with 3 epoch. Please find below the information: ``` GPU: 4 x NVIDIA Tesla V100 Datasets: COCOA Model: Efficientdet-d5 Tensorflow:...

Referring to: https://colab.research.google.com/github/google/automl/blob/master/efficientnetv2/tfhub.ipynb. `get_hub_url_and_isize()` already returns the image size corresponding to a given model variant. But the following code is not using it: ```py hub_url, image_size = get_hub_url_and_isize(model_name, ckpt_type, hub_type)...

I training on custom data set based on Window 10. I don't know what happened in the training. Anyone can tell me about this? ----------------------------------------------------- 2021-03-30 22:53:06.333435: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully...

Version automl/efficientdet/keras/ tag: 1.2 I have two trainings one after another. First training: ![image](https://user-images.githubusercontent.com/13466394/144561718-6c950e5a-8b1d-4be2-aca7-ee3d73cf6383.png) config.yaml contains: ![image](https://user-images.githubusercontent.com/13466394/144561846-8ff0f30d-b942-41e8-ae2f-98f35408063b.png) Second training starts from first training pretrained_ckpt. ![image](https://user-images.githubusercontent.com/13466394/144561921-ef6d579a-069a-4971-a7f1-be31b96c93dc.png) config.yaml contains: ![image](https://user-images.githubusercontent.com/13466394/144562032-ca9f4f12-6f11-46e5-92af-8e299ad0ff9f.png) epoch_learning_rate tensorboard...

Is EarlyStopping available for keras backend training?

Now I'm finetuning efficientdet with my custom dataset. My dataset includes 171,120 training data and 11,558 validation data. I know that usually num_examples_per_epoch is same with the amount of data....

I am trying to fine-tune the model on the MOT15 dataset found [here](https://motchallenge.net/data/MOT15/) I have added a custom script called `create_mot15_tfrecord.py` to covert the MOT15 ground truth data to TF...

Hi, I try to train EfficientDet-d7x on my custom dataset. Here is my config.yaml: ![issue1](https://user-images.githubusercontent.com/70867945/143219197-d3a5ab1f-8b1e-4799-a064-6780d2662fd4.PNG) Here is my command: ![issue3](https://user-images.githubusercontent.com/70867945/143219254-090530f0-f7b4-4076-bc87-b5a7e6489d68.PNG) Here is my evaluation result during training: ![issue2](https://user-images.githubusercontent.com/70867945/143219275-0410e4a3-c48a-4b99-8f0e-fd647e88b6af.PNG) The overall...