tensorflow / tensorflow/models
Colab Notebook to Train EfficientDet in the TensorFlow 2 Object Detection API
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@pkulzc is already working on this.
Since Jul 17, 2020.
models:research:odapi
type:docs
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Description
Prerequisites
- [X ] I checked to make sure that this issue has not been filed already.
1. The entire URL of the documentation with the issue
The tutorial documentation was useful but did not generalize to EfficientDet well. To write this tutorial, I drew from the following resources:
- Rubber Ducky Intro Tutorial
- Inference Tutorial
- An Old TF1 OD API Tutorial
- @sayakpaul published a tutorial running on GCP
2. Describe the issue
Using the above resources, I wrote a tutorial to train EfficientDet in Google Colab with the TensorFlow 2 Object Detection API.
You can run this tutorial by changing just one line for your custom dataset import. I hope this tutorial allows newcomers to the repository to quickly get up and running with TensorFlow 2 for object detection!
In the tutorial, I write how to:
- Acquire Labeled Object Detection Data
- Install TensorFlow 2 Object Detection Dependencies
- Download Custom TensorFlow 2 Object Detection Dataset
- Write Custom TensorFlow 2 Object Detection Training Configuration
- Train Custom TensorFlow 2 Object Detection Model
- Export Custom TensorFlow 2 Object Detection Weights
- Use Trained TensorFlow 2 Object Detection For Inference on Test Images
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