I’m trying to fine-tune a MobileNetv2 model from a checkpoint (https://github.com/tensorflow/models/tree/master/research/slim/nets/mobilenet, see “float_v2_1.4_224” under “Mobilenet V2 Imagenet Checkpoints”) for the task of Image Segmentation with Deeplabv3. I’ve followed the approach described on the deeplab repo by replacing the pascal VOC dataset with my own, made up of images sized 224×224 (same size as the images used to train that checkpoint) and then used this script as reference for which flags to set for training mobilenetv2.(https://github.com/tensorflow/models/blob/master/research/deeplab/local_test_mobilenetv2.sh)