[D] Help with YOLO + TensorFlow records
I apologize for my incorrect English, I hope you understand my problem anyway.
I state that I am new to the machine learning sector, being a university student. I’m looking for some repository or someone to explain to me step by step (in short, something already ready) how to use my .record (Tensorflow records) with any YOLO algorithm in Object Detection.
I tried almost any Git repository found on the web regarding this problem but 99% do not use Tensorflow records and those few who used them had errors in the execution of the various phases of training, detection etc …
My dataset, as I have already heard, is formed by three .record (train, validation, test), where we have for each Bounding Box each image: Xmin, Xmax, Ymin, Ymax, Width, Height and a total of 3 classes (low, medium, high).
I ask you this because otherwise I would be forced to create xml files for each image and then use the classic Pascal VOC notation for training.
I can use Google Colab without problems.
I hope I was clear, thank you in advance !!