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* Add Axelera Metis NPU object detector plugin Runs Frigate inference on the Axelera Metis NPU through the vendor's low-level axelera.runtime API with pip-installed, sha256-pinned wheels from Axelera's public artifactory (self-contained: auditwheel-repaired libs + bundled firmware). - async send_input/receive_output contract (FIFO pairing, overload emits zero rows instead of raising, frames are copied out of camera shm) - generic YOLO-family decoder driven by the compiled model's manifest.json (padded input geometry, dequant params, baked postprocess graph via onnx) - labels come from the compiled model's model_info.json; empty labelmaps fail loudly at init * object_detection: async runner path for the axelera detector * detectors: detect_axelera probe (/dev/metis*) + device node init * stats: Axelera Metis board temperature poller The card exposes no utilization counter usable next to a live detector, so the poller reports the board-controller temperature read via axcmd (cached 5s; the read must not race detector init). * docs: Axelera Metis detector (install, config, model catalog, downloads) * axelera: expose Metis colon-name device node and image deps for runtime enumeration The Axelera runtime enumerates Metis cards via the colon-separated node name created by the vendor udev rule on the host (e.g. /dev/metis-0:1:0) and probes kernel state with lsmod/lspci. Containers only receive the raw /dev/metis-0-1-0 node, so the detector never found the card. - init-devices: create /dev/metis-BB:DD:F aliases for each Metis node - install_deps: add kmod and pciutils so the runtime's driver check works * axelera: review round 2 (downloader, stop release, pixel format, docs size, per-class NMS) - download model zips through ModelDownloader (atomic .part rename; a truncated download no longer poisons the cache) - stop(): release the Context (releases connection/model/instance); the previous instance.free() call never existed in the runtime API and was silently swallowed - honor input_pixel_format: flip to RGB planes only when Frigate delivers BGR (input_pixel_format: bgr); with rgb the frame passes through as-is - docs/catalog: width/height = compiled 640x640 input (square regions no longer get squashed twice), document input_pixel_format: bgr - NMS via xyxy_to_xywh_for_nms + per-class cv2.dnn.NMSBoxes, matching the other detector plugins instead of a hand-rolled class-agnostic pass * axelera: report Metis temperature only on the NPU card The same board readout was surfaced twice on the System page: once as the detector temperature (get_hardware_temperatures) and once on the NPU card (npu_usages). Keep the NPU card, where the value belongs. * axelera: report AIPU utilization as the detector run duty cycle The runtime exposes no device-side usage counter (mvm_utilisation is a configuration limit, not a readout), so the NPU card rendered empty. ModelInstance.run blocks until the AIPU completes: the detector process now times each run and publishes busy/wall over a 2s window through a small file under the tmp cache dir; the stats poller reads it and sets the npu key. A stale file (detector idle/restarting) reports nothing rather than a stale number. * axelera: cut hot-path allocations in preprocess and dequantise Preprocess reused three fresh arrays per frame (resize output, quantised copy, strided channel flip at write time) and refilled the whole padded input buffer. Now resize writes into a scratch with cv2 dst=, the BGR->RGB swap is a cvtColor into scratch (no strided copy), the int8 quantise runs with out=, and only the border strips the content rect does not cover get memset. Measured 39% faster on the 704x576 -> 640x640 path. Dequantise allocated two fp32 temporaries per head (astype then the dequant expression) before the transpose copy. copyto now casts int8->fp32 while transposing straight into a reused fp32 feed buffer, and the zp/scale math runs in place. Measured 78% faster for the YOLOX-S head set, outputs bit-identical (int8->fp32 cast is lossless). Argmax+gather replaces max+argmax (one class-axis reduction instead of two), and the postprocess session pins intra_op_num_threads=1: one frame is in flight through the decoder, extra ORT threads only add context switches. * axelera: publish the run duty cycle through a shared Value Replace the tmp-file duty-cycle handoff (and the FRIGATE_TMP env var nothing else reads) with a third multiprocessing.Value alongside avg_inference_speed and detection_start: ObjectDetectProcess creates it, AsyncDetectorRunner passes it to the detector, and the plugin publishes busy/wall of the blocking ModelInstance.run over a 2s window, mirroring how memryx receives its shared state. No filesystem path, no staleness window, no atomic rename, and stats/hardware.py no longer imports the plugin module to find the file. The producer also ticks the window while the queue is empty, so the duty cycle falls to 0 when the card idles instead of sticking at its last value. Name it what it is: host-side occupancy of the run call, including DMA and driver time, not an AIPU core counter (the runtime exposes no device-side one). The NPU entry now reads temperature from the board controller plus the detector-reported run duty cycle folded in where the detector processes are in reach. * axelera: enumerate devices explicitly and fail with an actionable error Context.list_devices() keys off the lspci BDF and needs the colon-form node to be present, so surface an empty enumeration at init with the fix-it hint instead of a bare device_connect(None) ConnectionError several frames deeper. Uses the DeviceInfo the runtime enumerated rather than relying on the pick-first implicit path. * axelera: deliver every accepted result under backpressure, reset duty cycle on restart Greptile P1: _push_result dropped a completion when the result queue was full, stranding the runner's send_times entry and the input SHM mapping (1 submission : 1 result contract). Replace the drop with a stop-aware blocking put so an accepted submission always produces exactly one delivered completion. Greptile P2: start_or_restart did not clear run_duty_cycle when starting a replacement process, so stats could show the previous process's duty cycle while the new detector was still initializing. Reset it to the -1.0 sentinel alongside detection_start, inside the async branch. Greptile P2 (offline docs): list axelera among the detector types whose pre-seeded runtime files live under /config/model_cache/runtimes/<type>. * axelera: reviewer round 3 (plugin-owned enumeration tools, generic DEVICE_ALIASES, generic duty-cycle fold) install_deps.sh: drop kmod/pciutils from the base image. The runtime's list_devices() only greps popen'd lspci/lsmod output over /sys and /proc, so the plugin now installs shell stand-ins in its own /config/model_cache/axelera/bin and prepends it to PATH when the real tools are missing (hardware-verified: the stand-in lspci prints the Device 1f9d:<id> line the runtime matches, the lsmod shape matches /proc/modules). init-devices: replace the Metis-keyed alias block with a generic DEVICE_ALIASES env var (comma separated alias=target pairs, next to DEVICE_ACL_PATHS). Docker rejects colon-named nodes in --device AND in bind mounts (probed: 'too many colons' on both the long volume form and the mount form), so the in-container symlink stays necessary; docs carry the pair users must set. stats/util.py: fold any detector's published run_duty_cycle into the matching npu_usages entry generically; _axelera_run_duty_cycle and the per-vendor branch are gone. plugin: the no-device RuntimeError now names the raw dash-form node (--device rejects colons, users can only pass the raw node) and points at DEVICE_ALIASES for the colon alias. * axelera: reviewer round 4 (aggregate shared-type duty cycles, american spellings) stats/util.py: several detector processes can share one hardware type (e.g. two axelera cards on one host). Iterating and assigning made the displayed NPU usage depend on dict order, last writer wins. Collect the published windows per type and write the busiest one, matching what the removed per-vendor helper did with max(). plugin: the remaining British spellings (dequantise family) corrected to the American forms the repo requires. plugin: model path resolution follows hailo8l's single-string pattern (URL or local path or preset name in one value), the download uses urllib directly like memryx, and _find_model_json now raises on an ambiguous multi-model directory instead of returning whichever sorts first. plugin: AxeleraDetector exposes shutdown() (the async contract hook base.py calls) instead of close(); __del__ guards a partially initialised instance. * axelera: download URL models through the atomic ModelDownloader * axelera: bring the detector unit tests in tree * init-devices: create DEVICE_ALIASES before the ACL-mode exits An alias is not an ACL grant: users running with FRIGATE_RUN_AS_ROOT or FRIGATE_DEVICE_ACLS=false still need the colon-form node the runtime enumerates, so create the aliases right after the euid check. Document DEVICE_ALIASES next to DEVICE_ACL_PATHS and note it cannot work under docker's user: mode (the container cannot write to /dev). * detectors: cover the Axelera Metis probe in test_detector_hardware * Update docs/docs/configuration/non_root.md Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> * axelera: address the 2026-10-12 review round - hash directory models deterministically in compute_model_hash instead of raising IsADirectoryError at startup - keep canonical model labels addressable after user renames in the labelmap lookup (two classes can share one renamed name) - key the URL model cache by source and archive content, extract replaced archives into fresh directories, prune superseded variants conservatively - keep publishing the run duty cycle when the hardware poll has no entry (duty-only npu_usages entry instead of a hidden detector) - document the user: mode device reach instead of host-only alias creation * axelera: prune only generated cache entries A fresh download matched user-provided layouts (the docs-recommended <name>/ directory, <name>.zip archives) and look-alike model names (yolox.zip vs yolox-s-*) by prefix. Pruning is now gated on the exact generated identity pattern <name>-<source>-<32 hex digits>, so downloads never touch user-provided directories, other models, or other sources. * axelera: narrow the model path design to memryx-style zips - path is always a .zip of the compiled output (local or http(s) URL), extracted fresh on every start under a lock, like the memryx custom-model flow - _decode returns the raw class index and Frigate's labelmap names it; _build_label_lookup and _read_model_labels are gone, and the YOLOX objectness check keys off model_type - scheme-less URL support and the quantized/manifest.json fallback are dropped - width/height must equal the compiled input size; init raises otherwise instead of letterboxing - compute_model_hash is back to the unchanged file-only hashing; the .extracted marker, source/content cache-name hashes and _prune_model_cache are removed * Update frigate/test/test_axelera_detector.py Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> * axelera: drop the run duty cycle, match the hailo temperature flow - no other accelerator reports NPU usage and the published value was time blocked in run(), not device utilization from the vendor API; removing it leaves the runner selection as the only core change - the board temperature moves to a get_hardware_temperatures branch like hailo, so it renders on the detector card; _poll_axelera, its POLLERS entry and the _scan_detectors line are gone - axelera_runtime2 is not installed: axelera.runtime imports it only inside a try for its separate new-runtime API, and the low-level API the plugin uses (Context, load_model, device_connect, load_model_instance) lives in axelera.runtime.objects * axelera: follow-ups from the 2026-10-13 review round - the offline-setup table no longer lists the axelera_runtime2 wheels, which are not installed - a failed board temperature read starts a 60s cooldown so an unresponsive axcmd does not delay every stats update * axelera: drop the model-hash test, fix the model.json error messages * axelera: drop DEVICE_ALIASES, document the CDI device spec * axelera: use ln -sf in the CDI hook example --------- Co-authored-by: Patryk Watkowski <patrykorwat@users.noreply.github.com> Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
409 lines
12 KiB
Python
409 lines
12 KiB
Python
"""Discovery of object detection hardware attached to the system.
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Every probe here is a filesystem read. Nothing shells out, initializes a
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runtime, or opens a device, so this is cheap enough to run from the API process
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while detector children hold the hardware.
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Hardware is reported whether or not this image ships a detector that can drive
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it. Matching hardware to an image is a separate concern.
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"""
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import logging
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import os
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from glob import glob
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from pydantic import BaseModel, Field
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from frigate.const import SUPPORTED_RK_SOCS
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from frigate.detectors.detector_types import config_types
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from frigate.util.services import enumerate_drm_devices
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logger = logging.getLogger(__name__)
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# roots the probes read from, so tests can point them at a fixture tree
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SYS_ROOT = "/sys"
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DEV_ROOT = "/dev"
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PROC_ROOT = "/proc"
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ETC_ROOT = "/etc"
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LIB_ROOT = "/usr/lib"
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# a Coral reports as Global Unichip until its firmware is loaded, then as Google
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CORAL_USB_IDS = {("1a6e", "089a"), ("18d1", "9302")}
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INTEL_DRM_DRIVERS = ("i915", "xe")
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AMD_DRM_DRIVERS = ("amdgpu",)
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class HardwareUnit(BaseModel):
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"""One physical piece of hardware."""
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device: str = Field(
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title="Device string",
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description="The value to put in a model's devices list, for example 'edgetpu:pci:1'.",
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)
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label: str = Field(
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title="Unit label",
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description="How to identify this unit among others of the same kind, for example 'PCIe 1'.",
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)
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class DetectionHardware(BaseModel):
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"""A kind of detection hardware, and every unit of it that was found."""
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key: str = Field(
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title="Hardware key",
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description="Stable identifier for this kind of hardware.",
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)
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detector: str = Field(
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title="Detector type",
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description="The detector that drives this hardware.",
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)
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name: str = Field(
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title="Hardware name",
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description="Human readable name for this kind of hardware.",
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)
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units: list[HardwareUnit] = Field(
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title="Units",
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description="Each physical piece of this hardware that was found.",
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)
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count: int = Field(
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title="Unit count",
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description="How many units were found.",
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)
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unlimited: bool = Field(
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title="Unlimited detectors",
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description="Whether this hardware can run more inference processes than there are units.",
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)
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def _read(path: str) -> str | None:
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"""Read a small file, returning None if it cannot be read."""
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try:
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with open(path) as f:
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return f.read().strip()
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except OSError:
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return None
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def _is_shareable(detector: str) -> bool:
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"""Whether a detector lets the same device run more than one process."""
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config_class = config_types.get(detector)
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# a detector missing from this image is assumed to behave like most of them
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return config_class.shareable if config_class else True
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def _hardware(
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key: str, detector: str, name: str, units: list[HardwareUnit]
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) -> DetectionHardware:
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return DetectionHardware(
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key=key,
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detector=detector,
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name=name,
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units=units,
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count=len(units),
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unlimited=_is_shareable(detector),
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)
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def detect_coral_pci() -> DetectionHardware | None:
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"""Find PCIe and M.2 Coral accelerators, which register as apex devices."""
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names = sorted(
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os.path.basename(path) for path in glob(f"{SYS_ROOT}/class/apex/apex_*")
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)
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if not names:
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return None
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units = [
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HardwareUnit(device=f"edgetpu:pci:{index}", label=f"PCIe {index}")
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for index in range(len(names))
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]
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return _hardware("edgetpu:pci", "edgetpu", "Coral EdgeTPU (PCIe)", units)
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def detect_coral_usb() -> DetectionHardware | None:
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"""Find USB Coral accelerators by their USB vendor and product ids."""
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found = 0
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for device_dir in sorted(glob(f"{SYS_ROOT}/bus/usb/devices/*")):
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vendor = _read(os.path.join(device_dir, "idVendor"))
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product = _read(os.path.join(device_dir, "idProduct"))
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if vendor and product and (vendor.lower(), product.lower()) in CORAL_USB_IDS:
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found += 1
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if not found:
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return None
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units = [
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HardwareUnit(device=f"edgetpu:usb:{index}", label=f"USB {index}")
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for index in range(found)
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]
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return _hardware("edgetpu:usb", "edgetpu", "Coral EdgeTPU (USB)", units)
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def _drm_devices(drivers: tuple[str, ...]) -> list[str]:
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"""PCI addresses of DRM devices bound to one of the given drivers."""
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return sorted(
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pdev for pdev, driver in enumerate_drm_devices().items() if driver in drivers
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)
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def detect_intel_gpu() -> DetectionHardware | None:
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"""Find Intel GPUs through their DRM driver."""
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pdevs = _drm_devices(INTEL_DRM_DRIVERS)
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if not pdevs:
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return None
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# OpenVINO reports a lone GPU as "GPU" and enumerates them as GPU.0, GPU.1
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# only when there is more than one
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if len(pdevs) == 1:
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units = [HardwareUnit(device="openvino:GPU", label=pdevs[0])]
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else:
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units = [
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HardwareUnit(device=f"openvino:GPU.{index}", label=pdev)
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for index, pdev in enumerate(pdevs)
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]
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return _hardware("openvino:GPU", "openvino", "Intel GPU", units)
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def detect_intel_npu() -> DetectionHardware | None:
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"""Find Intel NPUs, which register as accel devices bound to intel_vpu."""
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units = []
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for accel_path in sorted(glob(f"{SYS_ROOT}/class/accel/accel*")):
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try:
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driver = os.path.basename(os.readlink(f"{accel_path}/device/driver"))
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except OSError:
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continue
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if driver != "intel_vpu":
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continue
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units.append(
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HardwareUnit(device="openvino:NPU", label=os.path.basename(accel_path))
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)
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if not units:
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return None
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# OpenVINO has no way to address a specific NPU, so only the first is usable
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return _hardware("openvino:NPU", "openvino", "Intel NPU", units[:1])
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def detect_amd_gpu() -> DetectionHardware | None:
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"""Find AMD GPUs through their DRM driver."""
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pdevs = _drm_devices(AMD_DRM_DRIVERS)
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if not pdevs:
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return None
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# ROCm runs through onnx, whose MIGraphX provider takes no device index, so
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# only one is addressable
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units = [HardwareUnit(device="onnx", label=pdevs[0])]
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return _hardware("onnx:amd", "onnx", "AMD GPU", units)
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def detect_nvidia_gpu() -> DetectionHardware | None:
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"""Find discrete Nvidia GPUs through the nvidia driver's proc entries."""
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units = []
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for index, gpu_dir in enumerate(sorted(glob(f"{PROC_ROOT}/driver/nvidia/gpus/*"))):
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information = _read(os.path.join(gpu_dir, "information")) or ""
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name = f"GPU {index}"
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for line in information.splitlines():
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if line.startswith("Model:"):
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name = line.split(":", 1)[1].strip()
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break
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units.append(HardwareUnit(device=f"onnx:{index}", label=name))
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if not units:
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return None
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# the model name is more useful as the hardware name when there is only one
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name = units[0].label if len(units) == 1 else "NVIDIA GPU"
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return _hardware("onnx:nvidia", "onnx", name, units)
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def detect_jetson() -> DetectionHardware | None:
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"""Find an Nvidia Jetson, whose integrated GPU runs through tensorrt."""
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is_jetson = os.path.isfile(f"{ETC_ROOT}/nv_tegra_release") or os.path.exists(
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f"{SYS_ROOT}/devices/gpu.0/load"
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)
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if not is_jetson:
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return None
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units = [HardwareUnit(device="tensorrt:0", label="Integrated GPU")]
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return _hardware("tensorrt", "tensorrt", "NVIDIA Jetson", units)
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def _dev_units(pattern: str, device: str, label: str) -> list[HardwareUnit]:
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"""Build units from device nodes matching a glob."""
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return [
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HardwareUnit(device=device.format(index=index), label=f"{label} {index}")
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for index in range(len(glob(f"{DEV_ROOT}/{pattern}")))
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]
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def detect_hailo() -> DetectionHardware | None:
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"""Find Hailo accelerators by their device nodes."""
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nodes = sorted(glob(f"{DEV_ROOT}/hailo*"))
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if not nodes:
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return None
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# the hailo runtime schedules across every attached device itself, so there
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# is nothing to address individually
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units = [HardwareUnit(device="hailo:PCIe", label=os.path.basename(nodes[0]))]
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return _hardware("hailo", "hailo", "Hailo", units)
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def detect_memryx() -> DetectionHardware | None:
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"""Find MemryX accelerators by their device nodes."""
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units = _dev_units("memx*", "memryx:PCIe:{index}", "PCIe")
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if not units:
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return None
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return _hardware("memryx", "memryx", "MemryX MX3", units)
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def detect_deepx() -> DetectionHardware | None:
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"""Find DEEPX NPUs by their device nodes."""
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units = _dev_units("dxrt*", "deepx:PCIe:{index}", "PCIe")
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if not units:
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return None
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return _hardware("deepx", "deepx", "DEEPX NPU", units)
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def detect_axelera() -> DetectionHardware | None:
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"""Find Axelera Metis accelerators by their device nodes."""
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nodes = sorted(glob(f"{DEV_ROOT}/metis*"))
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if not nodes:
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return None
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# the runtime addresses the card through the driver, not per node, so one
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# unit covers the accelerator
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units = [HardwareUnit(device="axelera:PCIe", label=os.path.basename(nodes[0]))]
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return _hardware("axelera", "axelera", "Axelera Metis", units)
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def detect_rockchip() -> DetectionHardware | None:
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"""Find a Rockchip NPU by reading the SoC from the device tree."""
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compatible = _read(f"{PROC_ROOT}/device-tree/compatible")
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if not compatible:
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return None
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soc = compatible.split(",")[-1].strip("\x00")
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if soc not in SUPPORTED_RK_SOCS:
|
|
return None
|
|
|
|
units = [HardwareUnit(device="rknn", label=soc.upper())]
|
|
return _hardware("rknn", "rknn", f"Rockchip NPU ({soc.upper()})", units)
|
|
|
|
|
|
def detect_axengine() -> DetectionHardware | None:
|
|
"""Find an AXERA accelerator by its control device node."""
|
|
if not os.path.exists(f"{DEV_ROOT}/axcl_host"):
|
|
return None
|
|
|
|
units = [HardwareUnit(device="axengine", label="AXERA")]
|
|
return _hardware("axengine", "axengine", "AXERA NPU", units)
|
|
|
|
|
|
def detect_synaptics() -> DetectionHardware | None:
|
|
"""Find a Synaptics NPU by its device node."""
|
|
if not os.path.exists(f"{DEV_ROOT}/synap"):
|
|
return None
|
|
|
|
units = [HardwareUnit(device="synaptics", label="Synaptics")]
|
|
return _hardware("synaptics", "synaptics", "Synaptics NPU", units)
|
|
|
|
|
|
def detect_lighter_ane() -> DetectionHardware | None:
|
|
"""Find a Mac's Neural Engine by the provider library lighter's device places."""
|
|
library = os.environ.get(
|
|
"LIGHTER_ANE_EP", f"{LIB_ROOT}/lighter/liblighter_ane_ep.so"
|
|
)
|
|
if not os.path.exists(library):
|
|
return None
|
|
|
|
# runs through onnx, whose session picks lighter's provider when it is present
|
|
units = [HardwareUnit(device="onnx", label="Neural Engine")]
|
|
return _hardware("onnx:lighter", "onnx", "Apple Neural Engine", units)
|
|
|
|
|
|
def detect_cpu() -> DetectionHardware:
|
|
"""The CPU, which is always available."""
|
|
units = [HardwareUnit(device="cpu", label="CPU")]
|
|
return _hardware("cpu", "cpu", "CPU", units)
|
|
|
|
|
|
# ordered so accelerators are offered ahead of the CPU fallback
|
|
PROBES = (
|
|
detect_coral_pci,
|
|
detect_coral_usb,
|
|
detect_hailo,
|
|
detect_memryx,
|
|
detect_deepx,
|
|
detect_axelera,
|
|
detect_intel_npu,
|
|
detect_intel_gpu,
|
|
detect_nvidia_gpu,
|
|
detect_jetson,
|
|
detect_amd_gpu,
|
|
detect_rockchip,
|
|
detect_axengine,
|
|
detect_synaptics,
|
|
detect_lighter_ane,
|
|
detect_cpu,
|
|
)
|
|
|
|
|
|
class HardwareProber:
|
|
"""Probes for detection hardware, caching the result for the process."""
|
|
|
|
_hardware: list[DetectionHardware] | None = None
|
|
|
|
def probe(self, refresh: bool = False) -> list[DetectionHardware]:
|
|
"""Get the detection hardware attached to this system.
|
|
|
|
Args:
|
|
refresh: Probe again instead of using the cached result
|
|
|
|
Returns:
|
|
Every kind of detection hardware that was found
|
|
"""
|
|
if self._hardware is not None and not refresh:
|
|
return self._hardware
|
|
|
|
found = []
|
|
|
|
for probe in PROBES:
|
|
try:
|
|
hardware = probe()
|
|
except Exception:
|
|
logger.warning("Failed to probe for %s", probe.__name__, exc_info=True)
|
|
continue
|
|
|
|
if hardware is not None:
|
|
found.append(hardware)
|
|
|
|
logger.debug("Detected hardware: %s", [h.key for h in found])
|
|
self._hardware = found
|
|
return found
|
|
|
|
|
|
hardware_prober = HardwareProber()
|