visualization_export_dir not saving images to specified folder when used in eval_config{}

System information

• What is the top-level directory of the model you are using: Object Detection
• Have I written custom code (as opposed to using a stock example script provided in TensorFlow): NO
• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Linux Ubuntu 16.04
• TensorFlow installed from (source or binary): binary
• TensorFlow version (use command below): tf-nightly-gpu
• Bazel version (if compiling from source):
• CUDA/cuDNN version: 10/7.4
• GPU model and memory: 2080ti x 2 and 32 gig ram
• Exact command to reproduce:

The problem

As the title states, I would like to save the detection vs. ground truth images of the eval from Tensorboard.

From the eval proto:

// Path to directory to store visualizations in. If empty, visualization
// images are not exported (only shown on Tensorboard).
optional string visualization_export_dir = 6 [default=""];

Therefore I have added it to my model.config file as such. Keep in mind I am working from the /Object-Detection/ directory.

eval_config: {
  num_examples: 57

  visualization_export_dir: "bevelgear_training/eval_images/"
  num_visualizations: 57
  metrics_set: "pascal_voc_detection_metrics"
}

Training finishes as normal, I can see all the eval images in tensorboard BUT the "bevelgear_training/eval_images/ " folder is empty.

Am I overlooking something? Anyone get this working?