mirror of
https://github.com/blakeblackshear/frigate.git
synced 2025-12-06 21:44:13 +03:00
01452e4c51
Some checks are pending
CI / AMD64 Build (push) Waiting to run
CI / ARM Build (push) Waiting to run
CI / Jetson Jetpack 6 (push) Waiting to run
CI / AMD64 Extra Build (push) Blocked by required conditions
CI / ARM Extra Build (push) Blocked by required conditions
CI / Synaptics Build (push) Blocked by required conditions
CI / Assemble and push default build (push) Blocked by required conditions
* show id field when editing zone * improve zone capitalization * Update NPU models and docs * fix mobilepage in tracked object details * Use thread lock for openvino to avoid concurrent requests with JinaV2 * fix hashing function to avoid collisions * remove extra flex div causing overflow * ensure header stays on top of video controls * don't smart capitalize friendly names * Fix incorrect object classification crop * don't display submit to plus if object doesn't have a snapshot * check for snapshot and clip in actions menu * frigate plus submission fix still show frigate+ section if snapshot has already been submitted and run optimistic update, local state was being overridden * Don't fail to show 0% when showing classification * Don't fail on file system error * Improve title and description for review genai * fix overflowing truncated review item description in detail stream * catch events with review items that start after the first timeline entry review items may start later than events within them, so subtract a padding from the start time in the filter so the start of events are not incorrectly filtered out of the list in the detail stream * also pad on review end_time * fix * change order of timeline zoom buttons on mobile * use grid to ensure genai title does not cause overflow * small tweaks * Cleanup --------- Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
38 lines
1.9 KiB
Markdown
38 lines
1.9 KiB
Markdown
---
|
|
id: hardware_acceleration_enrichments
|
|
title: Enrichments
|
|
---
|
|
|
|
# Enrichments
|
|
|
|
Some of Frigate's enrichments can use a discrete GPU or integrated GPU for accelerated processing.
|
|
|
|
## Requirements
|
|
|
|
Object detection and enrichments (like Semantic Search, Face Recognition, and License Plate Recognition) are independent features. To use a GPU / NPU for object detection, see the [Object Detectors](/configuration/object_detectors.md) documentation. If you want to use your GPU for any supported enrichments, you must choose the appropriate Frigate Docker image for your GPU / NPU and configure the enrichment according to its specific documentation.
|
|
|
|
- **AMD**
|
|
|
|
- ROCm will automatically be detected and used for enrichments in the `-rocm` Frigate image.
|
|
|
|
- **Intel**
|
|
|
|
- OpenVINO will automatically be detected and used for enrichments in the default Frigate image.
|
|
- **Note:** Intel NPUs have limited model support for enrichments. GPU is recommended for enrichments when available.
|
|
|
|
- **Nvidia**
|
|
|
|
- Nvidia GPUs will automatically be detected and used for enrichments in the `-tensorrt` Frigate image.
|
|
- Jetson devices will automatically be detected and used for enrichments in the `-tensorrt-jp6` Frigate image.
|
|
|
|
- **RockChip**
|
|
- RockChip NPU will automatically be detected and used for semantic search v1 and face recognition in the `-rk` Frigate image.
|
|
|
|
Utilizing a GPU for enrichments does not require you to use the same GPU for object detection. For example, you can run the `tensorrt` Docker image for enrichments and still use other dedicated hardware like a Coral or Hailo for object detection. However, one combination that is not supported is TensorRT for object detection and OpenVINO for enrichments.
|
|
|
|
:::note
|
|
|
|
A Google Coral is a TPU (Tensor Processing Unit), not a dedicated GPU (Graphics Processing Unit) and therefore does not provide any kind of acceleration for Frigate's enrichments.
|
|
|
|
:::
|