Comments (6)
Awesome! Thanks for sharing this. Would you be interested in submitting this in a PR? Then we could put these three files in a folder under src/contrib/tf_serving
and add a small documentation on how to serve NIMA in a TF serving Docker container
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Sure, that'd be great. I'll have it up as soon as I get some time. Thank you 💪
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I think I'm good to push it now, I just need push access :)
from image-quality-assessment.
Hi, can you please fork the repository and then create a pull request from your fork? You should be able to submit the pull request without any push access.
Pls let me know if anything is unclear or not working. Thanks again for your contribution!
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Duh, newbie me. There it is :)
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The enhancement was merged into master #13
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Related Issues (20)
- Failed to build docker file NIMA.cpu HOT 2
- How to save output of batch prediction?
- Error response from daemon:invalid volume specification HOT 1
- ./train-local: line 34: jq: command not found HOT 1
- Predict on CPU-limit memory usage
- How to label to train custom dataset HOT 1
- Hotel Rooms Dataset & Trained Model
- Setup
- No module named 'sklearn' HOT 1
- Max Entropy Result for value = 7 yields 5.5 in calc_mean_score
- Does it work on production environment? HOT 1
- convert the weights and config json to tflite HOT 1
- predictions don't match?
- Thanks for the code!!
- Error while installing requirements.txt HOT 3
- Can the model reach the loss value and accuracy given in the paper? HOT 3
- How to increase accurancy for set from ~ 2k interior images?
- Create a REST/Kafka Consumer service for predict
- tensorflow 1.** HOT 1
- Image format and type HOT 1
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