I'm training an object detection model on a custom dataset and fine-tuning ssd_inception_v2 pre-trained model from TensorFlow model zoo for the same. The training script is pointed to the model.ckpt.index given in the tarball.
TensorFlow returns a ValueError exception (No variables to save) with warnings about weights not being present:
WARNING:root:Variable [FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_5_3x3_s2_128/BatchNorm/beta/RMSProp_1] is not available in checkpoint [0/1875]
WARNING:root:Variable [FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_5_3x3_s2_128/BatchNorm/gamma] is not available in checkpoint
WARNING:root:Variable [FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_5_3x3_s2_128/BatchNorm/gamma/ExponentialMovingAverage] is not available in checkpoint
WARNING:root:Variable [FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_5_3x3_s2_128/BatchNorm/gamma/RMSProp] is not available in checkpoint
WARNING:root:Variable [FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_5_3x3_s2_128/BatchNorm/gamma/RMSProp_1] is not available in checkpoint
WARNING:root:Variable [FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_5_3x3_s2_128/BatchNorm/moving_mean] is not available in checkpoint
WARNING:root:Variable [FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_5_3x3_s2_128/BatchNorm/moving_variance] is not available in checkpoint
WARNING:root:Variable [FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_5_3x3_s2_128/weights] is not available in checkpoint
WARNING:root:Variable [FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_5_3x3_s2_128/weights/ExponentialMovingAverage] is not available in checkpoint
WARNING:root:Variable [FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_5_3x3_s2_128/weights/RMSProp] is not available in checkpoint
WARNING:root:Variable [FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_5_3x3_s2_128/weights/RMSProp_1] is not available in checkpoint
and more such errors. I have also tried ssd_mobilenet_v2 with the same errors. I have just changed the number of classes in the config file along with the "PATHS_TO_BE_CONFIGURED".
Using TensorFlow 1.7 on GPU.