Пользовательская модель обнаружения объектов Tensorflow 2 (Google Colab и локальный ПК)
Если видео на английском ,а вы его не знаете , то смотрите через Яндекс браузер. Code used in this tutorial: https://github.com/BenGreenfield825/Tensorflow-Object-Detection-with-Tensorflow-2.0 Original inspiration: https://github.com/TannerGilbert/Tensorflow-Object-Detection-with-Tensorflow-2.0 Chapters: 00:00 - Intro Prep Work 00:51 - Prepare images 07:40 - XML to CSV 09:06 - Generate TF records 12:38 - Download a base model 14:50 - Edit model config file 19:40 - Make a labelmap.pbtxt Local PC Training 21:57 - Start training 26:35 - Tensorboard (kind of) Google Colab Training 29:31 - Intro to Colab 30:55 - Run TF code blocks 32:02 - Use Kaggle to get our data 36:25 - TF records and config file 41:13 - Another more different tensorboard 41:45 - Start the training Using the New Model* 44:35 - Export inference graph 49:50 - Resume training from checkpoint 51:56 - Use new model 56:26 - Outro
Если видео на английском ,а вы его не знаете , то смотрите через Яндекс браузер. Code used in this tutorial: https://github.com/BenGreenfield825/Tensorflow-Object-Detection-with-Tensorflow-2.0 Original inspiration: https://github.com/TannerGilbert/Tensorflow-Object-Detection-with-Tensorflow-2.0 Chapters: 00:00 - Intro Prep Work 00:51 - Prepare images 07:40 - XML to CSV 09:06 - Generate TF records 12:38 - Download a base model 14:50 - Edit model config file 19:40 - Make a labelmap.pbtxt Local PC Training 21:57 - Start training 26:35 - Tensorboard (kind of) Google Colab Training 29:31 - Intro to Colab 30:55 - Run TF code blocks 32:02 - Use Kaggle to get our data 36:25 - TF records and config file 41:13 - Another more different tensorboard 41:45 - Start the training Using the New Model* 44:35 - Export inference graph 49:50 - Resume training from checkpoint 51:56 - Use new model 56:26 - Outro