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yoni13 2025-01-13 00:50:49 +08:00
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docs/docs/install/environment-variables.md
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@ -149,7 +149,7 @@ Redis (Sentinel) URL example JSON before encoding:
## Machine Learning
| Variable | Description | Default | Containers |
| :-------------------------------------------------------- | :-------------------------------------------------------------------------------------------------- | :-----------------------------: | :--------------- |
| :-------------------------------------------------------- | :-------------------------------------------------------------------------------------------------- | :-----------------------------: | :--------------- | --- | -------------------------------------- | ------------------------------------------------------------------------------------ | --- | ---------------- |
| `MACHINE_LEARNING_MODEL_TTL` | Inactivity time (s) before a model is unloaded (disabled if \<= 0) | `300` | machine learning |
| `MACHINE_LEARNING_MODEL_TTL_POLL_S` | Interval (s) between checks for the model TTL (disabled if \<= 0) | `10` | machine learning |
| `MACHINE_LEARNING_CACHE_FOLDER` | Directory where models are downloaded | `/cache` | machine learning |
@ -166,10 +166,10 @@ Redis (Sentinel) URL example JSON before encoding:
| `MACHINE_LEARNING_ANN_TUNING_LEVEL` | ARM-NN GPU tuning level (1: rapid, 2: normal, 3: exhaustive) | `2` | machine learning |
| `MACHINE_LEARNING_DEVICE_IDS`<sup>\*4</sup> | Device IDs to use in multi-GPU environments | `0` | machine learning |
| `MACHINE_LEARNING_MAX_BATCH_SIZE__FACIAL_RECOGNITION` | Set the maximum number of faces that will be processed at once by the facial recognition model | None (`1` if using OpenVINO) | machine learning |
| `MACHINE_LEARNING_RKNN` | Enable RKNN hardware acceleration if supported | `True` | machine learning |
| `MACHINE_LEARNING_RKNN_TEXTUAL_THREADS` | How many threads of RKNN runtime should be spinned up while infrencing textual model. | 1 | machine learning |
| `MACHINE_LEARNING_RKNN_VISUAL_THREADS` | How many threads of RKNN runtime should be spinned up while infrencing visual model. | 1 | machine learning |
| `MACHINE_LEARNING_RKNN_TEXTUAL_THREADS` | How many threads of RKNN runtime should be spinned up while infrencing textual model. | 1 | machine learning || `MACHINE_LEARNING_RKNN_FACIAL_THREADS` | How many threads of RKNN runtime should be spinned up while infrencing facial model. | 1 | machine learning |
| `MACHINE_LEARNING_RKNN` | Enable RKNN hardware acceleration if supported | `True` | machine learning |
| `MACHINE_LEARNING_RKNN_TEXTUAL_THREADS` | How many threads of RKNN runtime should be spinned up while infrencing textual model. | 1 | machine learning |
| `MACHINE_LEARNING_RKNN_VISUAL_THREADS` | How many threads of RKNN runtime should be spinned up while infrencing visual model. | 1 | machine learning |
| `MACHINE_LEARNING_RKNN_TEXTUAL_THREADS` | How many threads of RKNN runtime should be spinned up while infrencing textual model. | 1 | machine learning | | `MACHINE_LEARNING_RKNN_FACIAL_THREADS` | How many threads of RKNN runtime should be spinned up while infrencing facial model. | 1 | machine learning |
\*1: It is recommended to begin with this parameter when changing the concurrency levels of the machine learning service and then tune the other ones.