Created
August 8, 2019 08:03
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Please comment your query related to this repo: | |
https://github.com/interviewBubble/Table-Detection-using-Deep-Learning |
How to retrain the model?
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I followed all steps you have mentioned for table detection.
Here is the config I used, the tf records were generated by converting from csv file ('image_id,xmin,ymin,xmax,ymax,label' format) using the dataset transform command.
I created a checkpoint
93e6875c68d6
but when I tried this command to make a predictionit returned an empty prediction array:
Feels like something obvious I might have missed in setting up the config or the number of images to train is low?
Any suggestions?