Creating TFRecords - TensorFlow Object Detection API Tutorial p.4
Why Stack Overflow recommends it
Stack Overflow users link it as the step-by-step reference for generating TFRecords from XML/CSV annotations, usually when they hit errors following it.
Recommended by 2 people across 2 different months, 2017 to 2020.
What it is
Part 4 of sentdex's TensorFlow Object Detection API series, showing how to turn labeled image data (XML annotations converted to CSV) into the TFRecord files needed to train an object detection model. It walks through a generate_tfrecord script adapted from the raccoon_dataset project, with a text tutorial and code on pythonprogramming.net.
What people said
Recommends merry-go-round · 2017-08 · Stack Overflow · on “Is it possible to use grayscale images to existing model?”
In my case, I'm generating XML and csv files to put data for training and testing. So in my understanding, I can't add two more channels.. I'm following this video... ! [this video]
Recommends Vincent Yu · 2020-08 · Stack Overflow · on “Tensorflow Tfrecord from csv, ""UnicodeDecodeError: 'utf-8' codec can't decode byte 0xa8 in position already UTF-8""”
I have been following this youtube to try to generate the tfrecord file from csv. Creating TFRecords - TensorFlow Object Detection API Tutorial p.4 [this video] First i convert the file from xml to csv. It showes sucessfully converted. And the file is csv and it shows UTF-8 comma format. Then when i try to run the generatetfrecord.py it shows an error : UnicodeDecodeError: 'utf-8' codec can't decode byte 0xa8 in position already UTF-8 Here is the generatetfrecord.py code: """ Usage: # From tensorflow/models/ # Create train data: python3 generate_tfrecord.py --csv_input=data/train_labels.csv --output_path=data/train.record # Create test data: python3 generate_tfrecord.py --csv_input=data/test_labe
Cites Max · 2020-05 · Stack Overflow · on “"IndexError: child index out of range "- converting xml to csv”
As a beginner with the Python, I am trying to convert my XML files to CSV using this tutorial instructions ( [this video] ). Finally I need my images and annotations in tfrecord format to usee them in my custom EfficientDet model.I followed these two posts solutions ( IndexError: child index out of range [LINK] and why do I keep getting child out of range error? [LINK] ) and tried a bunch of different node numbers (1-9) in this sentence "int(member[3][0].text)" but constantly received "IndexError: child index out of range" error! I am trying to convert my XML files with the following format : <annotation> <folder>images</folder> <filename>Czech_000010.jpg</filename> <size> <depth>3</depth> <width