confidence thresh?
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In the code train_net.py, after the model trained, the code run into the inference part. However, in the code inference.py, I couldnot find the object confidence thresh setting. I am confused the model output based on which value of object confidence? where can we use object confidence thresh as a parameter and pass into the model prediction function.
logger.info("Start evaluation on {} dataset({} images).".format(dataset_name, len(dataset)))
start_time = time.time()
predictions = compute_on_dataset(model, data_loader, device)
# wait for all processes to complete before measuring the time
synchronize()
total_time = time.time() - start_time
Issue Analytics
- State:
- Created 4 years ago
- Comments:6 (2 by maintainers)
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Top GitHub Comments
I’m closing this issue, please let me know if you have any further question.
@chengyangfu could you explain why we are applying confidence threshold at the ROI head specifically and not at any other layer?