Do It Yourself – Website Tutorials

This video is about how to create your own custom object detector using the Tensorflow Object Detection API.

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1:55 Gathering data
4:50 Labeling data
8:00 Generating TFRecords for training
11:56 Configuring training
17:30 Training model
20:00 Exporting inference graph
21:53 Testing object detector

The code for this video:
https://github.com/TannerGilbert/Tutorials/blob/master/Tensorflow%20Object%20Detection/object_detection_with_own_model.ipynb

If you want the written version of the tutorial check out:
https://gilberttanner.com/blog/creating-your-own-objectdetector

Common Errors:
ModuleNotFoundError: No module named ‘object_detection’, ImportError : cannot import name ‘string_int_label_map_pb2: Make sure you installed everything correctly (updated guide:https://gilberttanner.com/blog/installing-the-tensorflow-object-detection-api )

Resources:
labelImg Github: https://github.com/tzutalin/labelImg
labelImg download: https://tzutalin.github.io/labelImg/
racoon detector: https://github.com/datitran/raccoon_dataset
EdjeElectronics tutorial: https://github.com/EdjeElectronics/TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10

Twitter: https://twitter.com/Tanner__Gilbert
Github: https://github.com/TannerGilbert
Website: https://gilberttanner.com/

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