10000 GitHub - rebekcunning/TF_ObjectDetection_API: Tutorial on how to create your own object detection dataset and train using TensorFlow's API

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Tutorial on how to create your own object detection dataset and train using TensorFlow's API

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Name		Name	Last commit message	Last commit date
Latest commit History 38 Commits
data		data
ApproachingCars.ipynb		ApproachingCars.ipynb
README.md		README.md
generate_tfrecord.py		generate_tfrecord.py
json_to_csv.py		json_to_csv.py
requirements.txt		requirements.txt
split_labels.ipynb		split_labels.ipynb
xml_to_csv.py		xml_to_csv.py

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This repo was forked from TensorFlow Object Detection API Tutorial found here

https://github.com/wagonhelm/TF_ObjectDetection_API:

Required Packages

See my blog post to learn about what I did: http://www.bekcunning.com/blog/car-back

FILES

ApproachingCars.ipynb Contains the steps required to run the car detector and construct a video from the results.
json_to_csv.py and xml_to_csv.py Contain code to convert the image attribute files to csv which will be used to generate tfrecords
split_labels.ipynb Creates test and training data from our complete set of images
generate_tfrecord.py python code required to generate tfrecords used during training of the model
data/ this folder contains the moodel config and file for labelling the desired classes.

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Tutorial on how to create your own object detection dataset and train using TensorFlow's API

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