Larsvdh
Reputation: 11
TensorFlow Object Detection API - determining FLOPS and number of Parameters
I have trained a custom SSD-MobileNetV2-FPN-Lite (320x320) from the TensorFlow Model zoo (TF2) and would like to know how many trainable parameters and FLOPs this network has. Does anyone know how to determine this?
Upvotes: 1
Views: 142
Answers (0)
Related Questions
- Understanding Tensorflow Object Detection API Evaluation metrics
- TensorFlow 2 Object Detection API Model Evaluation
- Tensorflow Object Detection API
- Training and Validation Accuracy in Tensorflow Object Detection API
- TensorFlow object detection API evaluate training performance
- Is there a way to know how many parameters does an object detection model have, in tensorflow object detection API?
- Tensorflow object detection pipeline and configuration
- Determining max batch size with TensorFlow Object Detection API
- tensorflow API detection boxes and evaluation
- What are the model configuration parameters in tensorflow object detection API?