SSD-Mobilenet-Custom-Object-Detector-Model-using-Tensorflow-2
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Tensorflow SSD - mobilenet TypeError: 'NoneType' object cannot be interpreted as an integer
This error is prompting when I run
python generate_tfrecord.py --csv_input=data/train_labels.csv --output_path=data/train.record I am trying to build a custom object detector using Single Shot Detector mobilenet
The error when building TF records generate_tfrecord.py
python generate_tfrecord.py --csv_input=data/train_labels.csv --output_path=data/train.record
The CSV file has columns: filename, width, eight, class, xmin, ymin, xmax, ymax and the image files are well placed
In my case, I encountered a similar error and ended up using roboflow to generate labels and tfrecords