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https://github.com/waikato-ufdl/wai-annotations-redis-predictions
wai.annotations plugin for making predictions via models communication through Redis backend.
https://github.com/waikato-ufdl/wai-annotations-redis-predictions
image-classification image-segmentation object-detection python3
Last synced: about 1 month ago
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wai.annotations plugin for making predictions via models communication through Redis backend.
- Host: GitHub
- URL: https://github.com/waikato-ufdl/wai-annotations-redis-predictions
- Owner: waikato-ufdl
- License: apache-2.0
- Created: 2022-05-04T21:06:06.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2022-06-13T03:42:19.000Z (over 2 years ago)
- Last Synced: 2024-08-09T12:18:26.360Z (5 months ago)
- Topics: image-classification, image-segmentation, object-detection, python3
- Language: Python
- Homepage: https://ufdl.cms.waikato.ac.nz/wai-annotations-manual/
- Size: 28.3 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGES.rst
- License: LICENSE
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README
# wai-annotations-redis-predictions
wai.annotations plugin for making predictions via models communication through Redis backend.
The manual is available here:
https://ufdl.cms.waikato.ac.nz/wai-annotations-manual/
## Plugins
### REDIS-PREDICT-IC
Makes image classification predictions via Redis backend, passing in an image and receiving JSON predictions back (at least one of 'label: probability').
Predictions example:
{"dog": 0.9, "cat": 0.1}
#### Domain(s):
- **Image Classification Domain**
#### Options:
```
usage: redis-predict-ic [--channel-in CHANNEL_IN] [--channel-out CHANNEL_OUT] [-d REDIS_DB] [-h REDIS_HOST] [-p REDIS_PORT] [-t TIMEOUT] [-v]
optional arguments:
--channel-in CHANNEL_IN
the Redis channel on which to receive predictions.
--channel-out CHANNEL_OUT
the Redis channel to send the images out
-d REDIS_DB, --redis-db REDIS_DB
the database to use
-h REDIS_HOST, --redis-host REDIS_HOST
the Redis server to connect to
-p REDIS_PORT, --redis-port REDIS_PORT
the port the Redis server is running on
-t TIMEOUT, --timeout TIMEOUT
the timeout in seconds to wait for a prediction to arrive
-v, --verbose whether to output debugging information.
```
### REDIS-PREDICT-IS
Makes image segmentation predictions via Redis backend, passing in an image and receiving an image with predicted segmentations.
#### Domain(s):
- **Image Segmentation Domain**
#### Options:
```
usage: redis-predict-is [--channel-in CHANNEL_IN] [--channel-out CHANNEL_OUT]
[--image-format IMAGE_FORMAT] --labels LABEL [LABEL ...] [-d REDIS_DB]
[-h REDIS_HOST] [-p REDIS_PORT] [-t TIMEOUT] [-v]
optional arguments:
--channel-in CHANNEL_IN
the Redis channel on which to receive predictions. (default: predictions)
--channel-out CHANNEL_OUT
the Redis channel to send the images out (default: images)
--image-format IMAGE_FORMAT
the format of the image that comes back as prediction:
indexedpng,bluechannel,grayscale (default: indexedpng)
--labels LABEL [LABEL ...]
specifies the labels for each index (default: None)
-d REDIS_DB, --redis-db REDIS_DB
the database to use (default: 0)
-h REDIS_HOST, --redis-host REDIS_HOST
the Redis server to connect to (default: localhost)
-p REDIS_PORT, --redis-port REDIS_PORT
the port the Redis server is running on (default: 6379)
-t TIMEOUT, --timeout TIMEOUT
the timeout in seconds to wait for a prediction to arrive (default: 5.0)
-v, --verbose whether to output debugging information. (default: False)
```
### REDIS-PREDICT-OD
Makes object detection predictions via Redis backend, passing in an image and receiving OPEX predictions back:
https://github.com/WaikatoLink2020/objdet-predictions-exchange-format
#### Domain(s):
- **Image Object-Detection Domain**
#### Options:
```
usage: redis-predict-od [--channel-in CHANNEL_IN] [--channel-out CHANNEL_OUT] [--key-label KEY_LABEL] [--key-score KEY_SCORE] [-d REDIS_DB] [-h REDIS_HOST] [-p REDIS_PORT] [-t TIMEOUT] [-v]
optional arguments:
--channel-in CHANNEL_IN
the Redis channel on which to receive predictions.
--channel-out CHANNEL_OUT
the Redis channel to send the images out
--key-label KEY_LABEL
the meta-data key in the annotations to use for storing the label.
--key-score KEY_SCORE
the meta-data key in the annotations to use for storing the prediction score.
-d REDIS_DB, --redis-db REDIS_DB
the database to use
-h REDIS_HOST, --redis-host REDIS_HOST
the Redis server to connect to
-p REDIS_PORT, --redis-port REDIS_PORT
the port the Redis server is running on
-t TIMEOUT, --timeout TIMEOUT
the timeout in seconds to wait for a prediction to arrive
-v, --verbose whether to output debugging information.
```