Tensorflow 2 Object Detection API Tutorial. This tutorial will take you from installation, to running pre-trained detection model, and training your model with a custom dataset, then exporting it for inference.
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Updated
Jul 30, 2020 - Python
Tensorflow 2 Object Detection API Tutorial. This tutorial will take you from installation, to running pre-trained detection model, and training your model with a custom dataset, then exporting it for inference.
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Contains code for object detection models like RetinaNet, FasterRCNN, YOLO that can be used to detect and recognize tables in document images.
This is a hybrid variety of detection models which is inspired from bothe centrenet and EfficientDet. This model is as fast as centrenet and much accurate due to the fusion blocks.
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