How to Build an Object Detection Classifier with TensorFlow 2.0 on Windows/Linux

Опубликовано: 15 Январь 2020
на канале: The AI Guy
60,385
1.2k

Learn how to build your very own object detection classifier with TensorFlow 2.0! This video will walk you through the process and code in order to setup your own TensorFlow 2.0 detector that will be able to run detections on both images and video in real-time! This detection classifier gets converted from YOLOv3 architecture into TensorFlow's model .ckpt files in order to run the detections.

#tensorflow #objectdetection #yolov3

----Resources----
Get the code here: https://github.com/theAIGuysCode/yolo-v3
How to train custom yolo weights:    • Train YOLOv3 Custom Object Detector w...  

In this video I cover:
1. Setup and Install Dependencies
2. Convert YOLOv3 weights into TensorFlow model .ckpt files.
3. How to run object detections on both images and videos!

Stay tuned for current upgrades which include:
Finish migration to full TF 2.0 (remove tf.compat.v1)
Allow model training
Tiny-Yolo Configuration

If you enjoyed the video, toss it a like! 👍

To Subsribe:    / @theaiguy  

Thanks so much for watching!
The AI Guy


Смотрите видео How to Build an Object Detection Classifier with TensorFlow 2.0 on Windows/Linux онлайн без регистрации, длительностью часов минут секунд в хорошем качестве. Это видео добавил пользователь The AI Guy 15 Январь 2020, не забудьте поделиться им ссылкой с друзьями и знакомыми, на нашем сайте его посмотрели 60,385 раз и оно понравилось 1.2 тысяч людям.