May 2020
Beginner to intermediate
430 pages
10h 39m
English
Content preview from Mastering Computer Vision with TensorFlow 2.x
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Preparing the model and configuring the training pipeline
Next, the base model is downloaded and unzipped using the following command. During the configuring parameters steps in the Configuring parameters and installing required packages section, the model and the corresponding configuration parameter has been selected. There is a choice of four different models (two variants of SSD, Faster R-CNN, and R-FCN) corresponding to the configuration parameters and the batch size. You can start with the batch size indicated and adjust as needed during model optimization:
MODEL_FILE = MODEL + '.tar.gz'DOWNLOAD_BASE = 'http://download.tensorflow.org/models/object_detection/'DEST_DIR = '/content/models/research/pretrained_model'
Here, the destination ...
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