remove motion search range check from the UI

With rw_timeout, the HLS demuxer skipped a timed-out segment and exited cleanly, so a run reported success with a hole in it, and when the keyframe probe and the decode lost different segments the equal frame counts paired frames with the wrong timestamps. The keyframe path now requires the probe to cover the whole run without a gap over 5 s, a decode whose stderr shows a skipped segment fails the run, and a cadence decode more than 5 s short of the run's duration fails it too, so these runs land in segments_with_errors. The keyframe probe polls should_stop and is killed on cancel, probe_video_dimensions gets the read timeout, and a user's own cancelled job no longer blocks their next search while it still counts toward the global cap.

.github/dependabot.yml

@@ -122,14 +122,12 @@ updates:
       # Intermittent failure in the UI settings import spec, cause not found
       - dependency-name: "zod"
         update-types: ["version-update:semver-major"]
-      # Every later version clamps the pan when the player hides or drops
-      # pinch gestures near the edges, 4.2.0 included
+      # Needs an on-device pinch test before moving
       - dependency-name: "react-zoom-pan-pinch"
-        versions: [">3.4.4"]
-      # 0.54 pins a vulnerable dompurify; 0.55+ breaks YAML validation until
-      # monaco-worker-manager releases its PR 4
+        update-types: ["version-update:semver-major"]
+      # Build fails until monaco-worker-manager releases its PR 4
       - dependency-name: "monaco-editor"
-        versions: [">=0.54.0"]
+        versions: [">=0.55.0"]
       # Later versions need Node 22 and extract false keys
       - dependency-name: "i18next-cli"
         versions: [">1.5.11"]

docker/main/requirements-ov.txt

@@ -1,2 +1,2 @@
 numpy
-openvino >= 2026.4.1
+openvino >= 2026.2.0

docker/main/requirements-wheels.txt

@@ -23,7 +23,7 @@ pandas == 3.0.*
 peewee == 4.5.*
 peewee_migrate == 2.3.*
 psutil == 7.2.*
-pydantic == 2.14.*
+pydantic == 2.13.*
 git+https://github.com/fbcotter/py3nvml#egg=py3nvml
 tzdata == 2026.5
 pyzmq == 27.2.*
@@ -42,16 +42,16 @@ opencv-python-headless == 4.11.0.*
 opencv-contrib-python == 4.11.0.*
 scipy == 1.17.*
 # OpenVino & ONNX
-openvino == 2026.4.*
+openvino == 2025.4.*
 onnxruntime == 1.30.*
 # Embeddings
 transformers == 5.19.*
 # Generative AI
-google-genai == 2.31.*
+google-genai == 2.29.*
 ollama == 0.6.*
 openai == 3.26.*
 # push notifications
-py-vapid == 1.9.6
+py-vapid == 1.9.4
 pywebpush == 2.5.*
 # alpr
 pyclipper == 1.4.*

docker/main/requirements.txt

@@ -1 +1 @@
-scikit-build == 0.19.*
+scikit-build == 0.18.*

docker/rocm/Dockerfile

@@ -2,9 +2,32 @@
 
 # https://askubuntu.com/questions/972516/debian-frontend-environment-variable
 ARG DEBIAN_FRONTEND=noninteractive
+ARG ROCM=1
 ARG HSA_OVERRIDE_GFX_VERSION
 ARG HSA_OVERRIDE
 
+#######################################################################
+FROM wget AS rocm
+
+ARG ROCM
+
+RUN apt update -qq && \
+    apt install -y wget gpg && \
+    wget -O rocm.deb https://repo.radeon.com/amdgpu-install/7.2.3/ubuntu/jammy/amdgpu-install_7.2.3.70203-1_all.deb && \
+    apt install -y ./rocm.deb && \
+    apt update && \
+    apt install -qq -y rocm
+
+RUN mkdir -p /opt/rocm-dist/opt/rocm-$ROCM/lib
+RUN cd /opt/rocm-$ROCM/lib && \
+    cp -dpr libMIOpen*.so* libamd*.so* libhip*.so* libhsa*.so* libmigraphx*.so* librocm*.so* librocblas*.so* libroctracer*.so* librocsolver*.so* librocfft*.so* librocprofiler*.so* libroctx*.so*  librocroller.so* /opt/rocm-dist/opt/rocm-$ROCM/lib/ && \
+    mkdir -p /opt/rocm-dist/opt/rocm-$ROCM/lib/migraphx/lib && \
+    cp -dpr migraphx/lib/* /opt/rocm-dist/opt/rocm-$ROCM/lib/migraphx/lib
+RUN cd /opt/rocm-dist/opt/ && ln -s rocm-$ROCM rocm
+
+RUN mkdir -p /opt/rocm-dist/etc/ld.so.conf.d/
+RUN echo /opt/rocm/lib|tee /opt/rocm-dist/etc/ld.so.conf.d/rocm.conf
+
 #######################################################################
 FROM deps AS deps-prelim
 
@@ -19,35 +42,51 @@ RUN echo "deb http://deb.debian.org/debian trixie main" > /etc/apt/sources.list.
     rm -f /etc/apt/sources.list.d/trixie.list && \
     rm -rf /var/lib/apt/lists/*
 
+WORKDIR /opt/frigate
+COPY --from=rootfs / /
+
 RUN wget -q https://bootstrap.pypa.io/get-pip.py -O get-pip.py \
     && sed -i 's/args.append("setuptools")/args.append("setuptools==77.0.3")/' get-pip.py \
     && python3 get-pip.py "pip" --break-system-packages
 RUN python3 -m pip config set global.break-system-packages true
 
-# ROCm installs from AMD's wheels ahead of Frigate's code so code changes
-# reuse this layer, and is pruned in the same layer so the removed files never
-# reach the image. /opt/rocm links to the runtime for rocminfo and HIP headers.
 COPY docker/rocm/requirements-wheels-rocm.txt /requirements.txt
-RUN --mount=type=bind,source=docker/rocm/prune_rocm.sh,target=/deps/prune_rocm.sh \
-    pip3 uninstall -y onnxruntime \
-    && pip3 install --no-cache-dir -r /requirements.txt \
-    && ROCM_SDK_CORE="$(python3 -c 'import _rocm_sdk_core, os; print(os.path.dirname(_rocm_sdk_core.__file__))')" \
-    && /deps/prune_rocm.sh "$(dirname "${ROCM_SDK_CORE}")" \
-    && ln -s "${ROCM_SDK_CORE}" /opt/rocm
+RUN pip3 uninstall -y onnxruntime \
+    && pip3 install -r /requirements.txt
 
-WORKDIR /opt/frigate
-COPY --from=rootfs / /
+#######################################################################
+FROM scratch AS rocm-dist
+
+ARG ROCM
+
+# Copy HIP headers required for MIOpen JIT (BuildHip) / HIPRTC at runtime
+COPY --from=rocm /opt/rocm-${ROCM}/include/ /opt/rocm-${ROCM}/include/
+COPY --from=rocm /opt/rocm-$ROCM/bin/rocminfo /opt/rocm-$ROCM/bin/migraphx-driver /opt/rocm-$ROCM/bin/
+# Copy MIOpen database files for gfx10xx, gfx11xx, and gfx12xx only (RDNA2/RDNA3/RDNA4)
+COPY --from=rocm /opt/rocm-$ROCM/share/miopen/db/*gfx10* /opt/rocm-$ROCM/share/miopen/db/
+COPY --from=rocm /opt/rocm-$ROCM/share/miopen/db/*gfx11* /opt/rocm-$ROCM/share/miopen/db/
+COPY --from=rocm /opt/rocm-$ROCM/share/miopen/db/*gfx12* /opt/rocm-$ROCM/share/miopen/db/
+# Copy rocBLAS library files for gfx10xx, gfx11xx, and gfx12xx only
+COPY --from=rocm /opt/rocm-$ROCM/lib/rocblas/library/*gfx10* /opt/rocm-$ROCM/lib/rocblas/library/
+COPY --from=rocm /opt/rocm-$ROCM/lib/rocblas/library/*gfx11* /opt/rocm-$ROCM/lib/rocblas/library/
+COPY --from=rocm /opt/rocm-$ROCM/lib/rocblas/library/*gfx12* /opt/rocm-$ROCM/lib/rocblas/library/
+COPY --from=rocm /opt/rocm-dist/ /
 
 #######################################################################
 FROM deps-prelim AS rocm-prelim-hsa-override0
 ENV MIGRAPHX_DISABLE_MIOPEN_FUSION=1
 ENV MIGRAPHX_DISABLE_SCHEDULE_PASS=1
 ENV MIGRAPHX_DISABLE_REDUCE_FUSION=1
+ENV MIGRAPHX_ENABLE_HIPRTC_WORKAROUNDS=1
 ENV MIOPEN_CUSTOM_CACHE_DIR=/config/model_cache/migraphx
 ENV MIOPEN_USER_DB_PATH=/config/model_cache/migraphx
 ENV AMD_COMGR_CACHE=1
 ENV AMD_COMGR_CACHE_DIR=/config/model_cache/migraphx
 
+COPY --from=rocm-dist / /
+
+RUN ldconfig
+
 #######################################################################
 FROM rocm-prelim-hsa-override0 as rocm-prelim-hsa-override1
 

docker/rocm/prune_rocm.sh

@@ -1,63 +0,0 @@
-#!/bin/bash
-
-# Remove the parts of AMD's ROCm wheels that MIGraphX inference never loads:
-# compilers, debuggers, profilers, management tools, and the math libraries
-# (sparse, solver, FFT, random, RCCL, image processing) outside MIGraphX's
-# dependencies. Runs in the same layer as the install so the files never
-# reach the image.
-
-set -euo pipefail
-
-site_packages="$1"
-core="${site_packages}/_rocm_sdk_core"
-libraries="${site_packages}/_rocm_sdk_libraries"
-
-# rocminfo stays for checking that the GPU is visible in the container
-find "${core}/bin" -mindepth 1 -maxdepth 1 \
-    ! -name rocminfo ! -name rocm_agent_enumerator -exec rm -rf {} +
-
-# hiprtc compiles MIGraphX's kernels through comgr, which needs libLLVM,
-# libclang-cpp, the clang resource headers, and the amdgcn device libraries
-rm -rf "${core}/lib/llvm/bin" "${core}/lib/llvm/include"
-find "${core}/lib/llvm/lib" -mindepth 1 -maxdepth 1 \
-    ! -name 'libLLVM.so*' ! -name 'libclang-cpp.so*' ! -name clang \
-    -exec rm -rf {} +
-rm -rf "${core}"/lib/llvm/lib/clang/*/lib
-
-rm -rf \
-    "${core}/lib/host-math" \
-    "${core}"/lib/python3* \
-    "${core}/lib/rocprofiler-sdk" \
-    "${core}"/lib/librocprofiler-sdk*.so* \
-    "${core}"/lib/librocprof-trace-decoder.so* \
-    "${core}"/lib/librocm-dbgapi.so* \
-    "${core}"/lib/librocm-debug-agent.so* \
-    "${core}"/lib/libamd_smi*.so* \
-    "${core}"/lib/libgoamdsmi_shim64.so* \
-    "${core}"/lib/librocdecode.so* \
-    "${core}"/lib/librocjpeg.so* \
-    "${core}"/lib/librocdxg.so* \
-    "${core}"/lib/librocjitsu_*.so* \
-    "${core}"/lib/libhsa_hotswap_rocjitsu.so* \
-    "${core}"/lib/*.a
-
-rm -rf \
-    "${libraries}"/lib/librpp.so* \
-    "${libraries}"/lib/librocsparse.so* \
-    "${libraries}"/lib/libhipsparse.so* \
-    "${libraries}"/lib/libhipsparselt.so* \
-    "${libraries}/lib/rocsparse" \
-    "${libraries}"/lib/librocsolver.so* \
-    "${libraries}"/lib/libhipsolver.so* \
-    "${libraries}"/lib/libhipblas.so* \
-    "${libraries}"/lib/librocrand.so* \
-    "${libraries}"/lib/libhiprand.so* \
-    "${libraries}"/lib/librocfft.so* \
-    "${libraries}"/lib/libhipfft.so* \
-    "${libraries}"/lib/libhipfftw.so* \
-    "${libraries}"/lib/librccl.so* \
-    "${libraries}"/.kpack/sparse_lib_*.kpack \
-    "${libraries}"/.kpack/solver_lib_*.kpack \
-    "${libraries}"/.kpack/rand_lib_*.kpack \
-    "${libraries}"/.kpack/fft_lib_*.kpack \
-    "${libraries}"/.kpack/rccl_lib_*.kpack

docker/rocm/requirements-wheels-rocm.txt

@@ -1,19 +1 @@
-# ROCm 10.1.0, MIGraphX, and its ONNX Runtime plugin provider from AMD's wheels.
-onnxruntime == 1.29.*
-onnxruntime-ep-migraphx @ https://stable.repo.amd.com/rocm/onnxruntime/whl-next/onnxruntime-ep-migraphx/onnxruntime_ep_migraphx-1.0.0%2Brocm10.1.0-cp311-cp311-manylinux_2_28_x86_64.whl
-migraphx-libs @ https://stable.repo.amd.com/rocm/migraphx/whl-next/migraphx-libs/migraphx_libs-2.18.0%2Brocm10.1.0-py3-none-manylinux_2_28_x86_64.whl
-rocm-sdk-core @ https://stable.repo.amd.com/rocm/whl-next/rocm-sdk-core/rocm_sdk_core-10.1.0-py3-none-linux_x86_64.whl
-rocm-sdk-libraries @ https://stable.repo.amd.com/rocm/whl-next/rocm-sdk-libraries/rocm_sdk_libraries-10.1.0-py3-none-linux_x86_64.whl
-# Kernels for each supported GPU target. MIGraphX has no gfx1031-gfx1036 kernels,
-# so those GPUs run as gfx1030 with HSA_OVERRIDE_GFX_VERSION=10.3.0
-rocm-sdk-device-gfx1030 @ https://stable.repo.amd.com/rocm/whl-next/rocm-sdk-device-gfx1030/rocm_sdk_device_gfx1030-10.1.0-py3-none-linux_x86_64.whl
-rocm-sdk-device-gfx1100 @ https://stable.repo.amd.com/rocm/whl-next/rocm-sdk-device-gfx1100/rocm_sdk_device_gfx1100-10.1.0-py3-none-linux_x86_64.whl
-rocm-sdk-device-gfx1101 @ https://stable.repo.amd.com/rocm/whl-next/rocm-sdk-device-gfx1101/rocm_sdk_device_gfx1101-10.1.0-py3-none-linux_x86_64.whl
-rocm-sdk-device-gfx1102 @ https://stable.repo.amd.com/rocm/whl-next/rocm-sdk-device-gfx1102/rocm_sdk_device_gfx1102-10.1.0-py3-none-linux_x86_64.whl
-rocm-sdk-device-gfx1103 @ https://stable.repo.amd.com/rocm/whl-next/rocm-sdk-device-gfx1103/rocm_sdk_device_gfx1103-10.1.0-py3-none-linux_x86_64.whl
-rocm-sdk-device-gfx1150 @ https://stable.repo.amd.com/rocm/whl-next/rocm-sdk-device-gfx1150/rocm_sdk_device_gfx1150-10.1.0-py3-none-linux_x86_64.whl
-rocm-sdk-device-gfx1151 @ https://stable.repo.amd.com/rocm/whl-next/rocm-sdk-device-gfx1151/rocm_sdk_device_gfx1151-10.1.0-py3-none-linux_x86_64.whl
-rocm-sdk-device-gfx1152 @ https://stable.repo.amd.com/rocm/whl-next/rocm-sdk-device-gfx1152/rocm_sdk_device_gfx1152-10.1.0-py3-none-linux_x86_64.whl
-rocm-sdk-device-gfx1153 @ https://stable.repo.amd.com/rocm/whl-next/rocm-sdk-device-gfx1153/rocm_sdk_device_gfx1153-10.1.0-py3-none-linux_x86_64.whl
-rocm-sdk-device-gfx1200 @ https://stable.repo.amd.com/rocm/whl-next/rocm-sdk-device-gfx1200/rocm_sdk_device_gfx1200-10.1.0-py3-none-linux_x86_64.whl
-rocm-sdk-device-gfx1201 @ https://stable.repo.amd.com/rocm/whl-next/rocm-sdk-device-gfx1201/rocm_sdk_device_gfx1201-10.1.0-py3-none-linux_x86_64.whl
+onnxruntime-migraphx @ https://github.com/NickM-27/frigate-onnxruntime-rocm/releases/download/v7.2.3-1/onnxruntime_migraphx-1.24.4-cp311-cp311-linux_x86_64.whl

docker/rocm/rocm.hcl

@@ -1,3 +1,6 @@
+variable "ROCM" {
+  default = "7.2.3"
+}
 variable "HSA_OVERRIDE_GFX_VERSION" {
   default = ""
 }
@@ -5,6 +8,12 @@ variable "HSA_OVERRIDE" {
   default = "1"
 }
 
+target wget {
+  dockerfile = "docker/main/Dockerfile"
+  platforms = ["linux/amd64"]
+  target = "wget"
+}
+
 target deps {
   dockerfile = "docker/main/Dockerfile"
   platforms = ["linux/amd64"]
@@ -21,10 +30,12 @@ target rocm {
   dockerfile = "docker/rocm/Dockerfile"
   contexts = {
     deps = "target:deps",
+    wget = "target:wget",
     rootfs = "target:rootfs"
   }
   platforms = ["linux/amd64"]
   args = {
+    ROCM = ROCM,
     HSA_OVERRIDE_GFX_VERSION = HSA_OVERRIDE_GFX_VERSION,
     HSA_OVERRIDE = HSA_OVERRIDE
   }

docs/docs/configuration/object_detectors.md

@@ -394,22 +394,6 @@ Note that the labelmap uses a subset of the complete COCO label set that has onl
 
 Support for AMD GPUs is provided using the [ONNX detector](#onnx). In order to utilize the AMD GPU for object detection use a frigate docker image with `-rocm` suffix, for example `ghcr.io/blakeblackshear/frigate:stable-rocm`.
 
-### Supported GPUs {#supported-gpus-rocm}
-
-The `-rocm` image includes ROCm support for these GPU chipsets, which work without any chipset override:
-
-| Chipset                                      | Example GPUs                                                             |
-| -------------------------------------------- | ------------------------------------------------------------------------ |
-| gfx1030 (RDNA2)                              | Radeon RX 6800 / 6800 XT / 6900 XT / 6950 XT, Radeon PRO W6800           |
-| gfx1100, gfx1101, gfx1102 (RDNA3)            | Radeon RX 7900 / 7800 / 7700 / 7600 series, Radeon PRO W7000 series      |
-| gfx1103 (RDNA3 integrated)                   | Radeon 780M / 760M in Ryzen 7040, 8040, 8000G, and 200 series processors |
-| gfx1150, gfx1151, gfx1152, gfx1153 (RDNA3.5) | Integrated GPUs in Ryzen AI 300 / 400 series and Ryzen AI Max processors |
-| gfx1200, gfx1201 (RDNA4)                     | Radeon RX 9060 / 9070 series, Radeon AI PRO R9700                        |
-
-Other RDNA2 GPUs (gfx1031 through gfx1036), such as the Radeon RX 6700 / 6600 / 6500 series and the Radeon 680M / 660M integrated GPUs, run on the gfx1030 support by [overriding the chipset](#docker-settings-for-overriding-the-gpu-chipset) to `10.3.0`.
-
-Older GPUs, including RDNA1 (Radeon RX 5000 series) and Vega based dedicated and integrated GPUs, are not supported.
-
 ### Docker settings for GPU access
 
 ROCm needs access to the `/dev/kfd` and `/dev/dri` devices. When docker or frigate is not run under root then also `video` (and possibly `render` and `ssl/_ssl`) groups should be added.
@@ -436,10 +420,19 @@ For reference on recommended settings see [running ROCm/pytorch in Docker](https
 
 ### Docker settings for overriding the GPU chipset
 
-A GPU whose chipset isn't in the [supported GPUs](#supported-gpus-rocm) list can run on the support for a closely related chipset by setting the `HSA_OVERRIDE_GFX_VERSION` environment variable. RDNA2 GPUs other than gfx1030 (gfx1031 through gfx1036) need this, using `10.3.0`:
+Your GPU might work just fine without any special configuration but in many cases they need manual settings. AMD/ROCm software stack comes with a limited set of GPU drivers and for newer or missing models you will have to override the chipset version to an older/generic version to get things working.
+
+Also AMD/ROCm does not "officially" support integrated GPUs. It still does work with most of them just fine but requires special settings. One has to configure the `HSA_OVERRIDE_GFX_VERSION` environment variable. See the [ROCm bug report](https://github.com/ROCm/ROCm/issues/1743) for context and examples.
+
+For the rocm frigate build there is some automatic detection:
+
+- gfx1031 -> 10.3.0
+- gfx1103 -> 11.0.0
+
+If you have something else you might need to override the `HSA_OVERRIDE_GFX_VERSION` at Docker launch. Suppose the version you want is `10.0.0`, then you should configure it from command line as:
 
 ```bash
-$ docker run -e HSA_OVERRIDE_GFX_VERSION=10.3.0 \
+$ docker run -e HSA_OVERRIDE_GFX_VERSION=10.0.0 \
     ...
 ```
 
@@ -450,17 +443,16 @@ services:
   frigate:
     ...
     environment:
-      HSA_OVERRIDE_GFX_VERSION: "10.3.0"
+      HSA_OVERRIDE_GFX_VERSION: "10.0.0"
 ```
 
-GPUs in the supported list don't need an override. An override that was set for the Radeon 780M / 760M (gfx1103) on an earlier version of Frigate is no longer needed and can be removed.
+Figuring out what version you need can be complicated as you can't tell the chipset name and driver from the AMD brand name.
 
-You can't tell the chipset from the AMD brand name, so check it in the container:
-
-- first make sure that the ROCm environment is running properly by running `/opt/rocm/bin/rocminfo` in the Frigate container. It should list both the CPU and the GPU with their properties
-- find the chipset version you have (gfxNNN) from the output of `rocminfo` (see below)
-- if the chipset isn't in the supported list, set `HSA_OVERRIDE_GFX_VERSION` to the closest supported chipset, written as major.minor.stepping (for example gfx1030 is `10.3.0`)
-- if things are not working check the Frigate docker logs
+- first make sure that rocm environment is running properly by running `/opt/rocm/bin/rocminfo` in the frigate container -- it should list both the CPU and the GPU with their properties
+- find the chipset version you have (gfxNNN) from the output of the `rocminfo` (see below)
+- use a search engine to query what `HSA_OVERRIDE_GFX_VERSION` you need for the given gfx name ("gfxNNN ROCm HSA_OVERRIDE_GFX_VERSION")
+- override the `HSA_OVERRIDE_GFX_VERSION` with relevant value
+- if things are not working check the frigate docker logs
 
 #### Figuring out if AMD/ROCm is working and found your GPU
 

docs/docs/frigate/hardware.md

@@ -72,7 +72,7 @@ Frigate supports multiple different detectors that work on different types of ha
 
 **AMD**
 
-- [ROCm](#rocm---amd-gpu): ROCm can run on AMD discrete and recent integrated GPUs to provide efficient object detection
+- [ROCm](#rocm---amd-gpu): ROCm can run on AMD Discrete GPUs to provide efficient object detection
   - [Supports limited model architectures](../../configuration/object_detectors#amdrocm-gpu-detector)
   - Runs best on discrete AMD GPUs
 - <CommunityBadge /> [XDNA2 (Ryzen AI)](#amd-xdna2): AMD XDNA2 NPU (sub-watt power AI/ML processor separate to the GPU) inside Strix and other "AI" branded AMD platforms
@@ -240,7 +240,7 @@ Apple Silicon can not run within a container, so a ZMQ proxy is utilized to comm
 
 ### ROCm - AMD GPU
 
-With the [ROCm](../configuration/object_detectors.md#amdrocm-gpu-detector) detector Frigate can take advantage of many AMD discrete and integrated GPUs, see the [supported GPUs](../configuration/object_detectors.md#supported-gpus-rocm).
+With the [ROCm](../configuration/object_detectors.md#amdrocm-gpu-detector) detector Frigate can take advantage of many discrete AMD GPUs.
 
 | Name           | YOLOv9 Inference Time       | YOLO-NAS Inference Time   | RF-DETR Inference Time |
 | -------------- | --------------------------- | ------------------------- | ---------------------- |

frigate/api/motion_search.py

@@ -9,7 +9,10 @@ from pydantic import BaseModel, Field
 
 from frigate.api.auth import require_camera_access
 from frigate.api.defs.tags import Tags
+from frigate.config import FrigateConfig
 from frigate.jobs.motion_search import (
+    MotionSearchCapacityError,
+    MotionSearchUserBusyError,
     cancel_motion_search_job,
     get_motion_search_job,
     start_motion_search_job,
@@ -95,6 +98,20 @@ class MotionSearchStatusResponse(BaseModel):
     progress: float | None = None
 
 
+def _per_user_identity(request: Request, config: FrigateConfig) -> str | None:
+    """Return the requesting user, or None when callers share one identity.
+
+    Internal-port requests are all "anonymous", and with auth disabled and no
+    proxy user header every browser is "viewer".
+    """
+    username = request.headers.get("remote-user")
+    if not username or username == "anonymous":
+        return None
+    if config.auth.enabled or config.proxy.header_map.user:
+        return username
+    return None
+
+
 @router.post(
     "/{camera_name}/search/motion",
     response_model=MotionSearchStartResponse,
@@ -138,18 +155,35 @@ async def start_motion_search(
             status_code=400,
         )
 
-    # Start the job using the jobs module
-    job_id = start_motion_search_job(
-        config=config,
-        camera_name=camera_name,
-        start_time=body.start_time,
-        end_time=body.end_time,
-        polygon_points=body.polygon_points,
-        threshold=body.threshold,
-        min_area=body.min_area,
-        parallel=body.parallel,
-        max_results=body.max_results,
-    )
+    try:
+        job_id = start_motion_search_job(
+            config=config,
+            camera_name=camera_name,
+            start_time=body.start_time,
+            end_time=body.end_time,
+            polygon_points=body.polygon_points,
+            threshold=body.threshold,
+            min_area=body.min_area,
+            parallel=body.parallel,
+            max_results=body.max_results,
+            username=_per_user_identity(request, config),
+        )
+    except MotionSearchUserBusyError:
+        return JSONResponse(
+            content={
+                "success": False,
+                "message": "A motion search is already running for this user",
+            },
+            status_code=409,
+        )
+    except MotionSearchCapacityError:
+        return JSONResponse(
+            content={
+                "success": False,
+                "message": "Too many motion searches are running",
+            },
+            status_code=429,
+        )
 
     return JSONResponse(
         content={

frigate/detectors/detection_runners.py

@@ -10,7 +10,6 @@ from typing import Any
 import numpy as np
 import onnxruntime as ort
 
-from frigate.const import MODEL_CACHE_DIR
 from frigate.util.model import get_ort_providers
 from frigate.util.rknn_converter import auto_convert_model, is_rknn_compatible
 
@@ -56,9 +55,6 @@ _PROVIDER_LABELS = {
 LIGHTER_ANE_EP_NAME = "LighterANE"
 LIGHTER_ANE_LIBRARY = "/usr/lib/lighter/liblighter_ane_ep.so"
 
-# AMD's MIGraphX plugin execution provider, installed in the ROCm image
-MIGRAPHX_EP_NAME = "MIGraphXExecutionProvider"
-
 
 def get_lighter_ane_devices() -> list[Any]:
     """Get the Neural Engine devices lighter's provider offers, registering it once.
@@ -87,42 +83,6 @@ def get_lighter_ane_devices() -> list[Any]:
     return devices
 
 
-def get_migraphx_devices() -> list[Any]:
-    """Get the AMD GPU devices the MIGraphX provider offers, registering it once.
-
-    Returns:
-        The provider's ONNX Runtime devices, or an empty list outside the ROCm
-        image or without an AMD GPU
-    """
-    # Import here to avoid circular imports
-    from frigate.detectors.hardware import detect_amd_gpu
-
-    try:
-        import onnxruntime_ep_migraphx
-    except ImportError:
-        return []
-
-    # ONNX Runtime finds the provider's GPUs in the same /sys/class/drm entries,
-    # so an AMD GPU here means the provider lists it once registered
-    if detect_amd_gpu() is None:
-        return []
-
-    devices = [d for d in ort.get_ep_devices() if d.ep_name == MIGRAPHX_EP_NAME]
-
-    if not devices:
-        try:
-            ort.register_execution_provider_library(
-                MIGRAPHX_EP_NAME, onnxruntime_ep_migraphx.get_library_path()
-            )
-        except Exception as e:
-            logger.warning("Failed to load the MIGraphX provider: %s", e)
-            return []
-
-        devices = [d for d in ort.get_ep_devices() if d.ep_name == MIGRAPHX_EP_NAME]
-
-    return devices
-
-
 def is_arm64_platform() -> bool:
     """Check if we're running on an ARM platform."""
     machine = platform.machine().lower()
@@ -796,41 +756,12 @@ def get_optimized_runner(
                 ONNXModelRunner(session, model_type=model_type),
             )
 
-    if (
-        device != "CPU"
-        and not ONNXModelRunner.is_migraphx_complex_model(model_type)
-        and (migraphx_devices := get_migraphx_devices())
-    ):
-        migraphx_cache_dir = os.path.join(MODEL_CACHE_DIR, "migraphx/ort")
-        os.makedirs(migraphx_cache_dir, exist_ok=True)
-        sess_options = get_ort_session_options(model_type) or ort.SessionOptions()
-        # only the first AMD GPU is used, matching detect_amd_gpu
-        sess_options.add_provider_for_devices(
-            migraphx_devices[:1], {"cache_dir": migraphx_cache_dir}
-        )
-
-        try:
-            session = ort.InferenceSession(model_path, sess_options=sess_options)
-        except Exception as e:
-            logger.warning(
-                "Failed to load %s with MIGraphX, using the default providers: %s",
-                model_path,
-                e,
-            )
-        else:
-            return _record_runner(
-                model_path,
-                model_type,
-                ONNXModelRunner(session, model_type=model_type),
-            )
-
     providers, options = get_ort_providers(device == "CPU", device, **kwargs)
 
     if providers[0] == "CPUExecutionProvider":
         # In the default image, ONNXRuntime is used so we will only get CPUExecutionProvider
-        # In other images we will get CUDA which is preferred over OpenVINO, while
-        # MIGraphX in the ROCm image is already handled above
-        # There is currently no way to prioritize OpenVINO over CUDA in these images
+        # In other images we will get CUDA / ROCm which are preferred over OpenVINO
+        # There is currently no way to prioritize OpenVINO over CUDA / ROCm in these images
         if device != "CPU" and is_openvino_gpu_npu_available():
             return _record_runner(
                 model_path,
@@ -859,6 +790,15 @@ def get_optimized_runner(
             ),
         )
 
+    if (
+        providers
+        and providers[0] == "MIGraphXExecutionProvider"
+        and ONNXModelRunner.is_migraphx_complex_model(model_type)
+    ):
+        # Don't use MIGraphX for models that are not supported
+        providers.pop(0)
+        options.pop(0)
+
     return _record_runner(
         model_path,
         model_type,

frigate/jobs/motion_search.py

@@ -8,7 +8,7 @@ from collections.abc import Callable, Generator, Iterable
 from concurrent.futures import Future, ThreadPoolExecutor, as_completed
 from dataclasses import asdict, dataclass, field
 from datetime import datetime
-from typing import Any, cast
+from typing import Any
 
 import cv2
 import numpy as np
@@ -17,10 +17,6 @@ from frigate.comms.inter_process import InterProcessRequestor
 from frigate.config import FrigateConfig
 from frigate.const import STREAM_TYPE_MAIN, UPDATE_JOB_STATE
 from frigate.jobs.job import Job
-from frigate.jobs.manager import (
-    get_job_by_id,
-    set_current_job,
-)
 from frigate.jobs.motion_search_batch import (
     build_segment_time_map,
     coalesce_runs,
@@ -53,6 +49,12 @@ PROGRESS_BROADCAST_INTERVAL = 1.0
 # Output frame rate for the fixed-cadence fallback used on long-GOP cameras
 # (where keyframe sampling is too sparse). Keyframe cameras ignore this.
 FALLBACK_SAMPLE_FPS = 2.0
+# Each parallel job runs up to 4 decode workers, so this bounds total ffmpeg load.
+MAX_ACTIVE_JOBS = 3
+# Finished jobs stay pollable for this long before eviction (seconds).
+FINISHED_JOB_TTL = 600.0
+# A cancelled job stops holding a slot after this long, even if its thread is wedged.
+CANCEL_GRACE_SECONDS = 60.0
 
 
 @dataclass
@@ -98,6 +100,8 @@ class MotionSearchJob(Job):
     min_area: float = 5.0
     parallel: bool = False
     max_results: int = 25
+    username: str | None = None
+    cancelled_at: float | None = None
 
     # Track progress
     total_frames_processed: int = 0
@@ -112,6 +116,8 @@ class MotionSearchJob(Job):
     def to_dict(self) -> dict[str, Any]:
         """Convert to dictionary for WebSocket transmission."""
         d = asdict(self)
+        d.pop("username")
+        d.pop("cancelled_at")
         if self.metrics:
             d["metrics"] = self.metrics.to_dict()
         return d
@@ -579,7 +585,7 @@ class MotionSearchRunner(threading.Thread):
 
         # Decide keyframe vs fixed-cadence sampling once from the first run's GOP
         # (keyframe structure is a per-camera constant).
-        first_pts = probe_vod_keyframe_pts(ffprobe_path, first_url)
+        first_pts = probe_vod_keyframe_pts(ffprobe_path, first_url, self._should_stop)
         self.use_keyframe = keyframe_sampling_eligible(first_pts)
 
         logger.debug(
@@ -641,7 +647,9 @@ class MotionSearchRunner(threading.Thread):
         time_map = build_segment_time_map(run)
 
         if self.use_keyframe:
-            kf_pts = probe_vod_keyframe_pts(self.ffprobe_path, vod_url)
+            kf_pts = probe_vod_keyframe_pts(
+                self.ffprobe_path, vod_url, self._should_stop
+            )
             frames = list(
                 iter_vod_frames(
                     self.ffmpeg_path,
@@ -777,13 +785,15 @@ class MotionSearchRunner(threading.Thread):
                         run_results, frames = completed.pop(next_idx)
                         if self._merge_run(runs[next_idx], run_results, frames, state):
                             self.internal_stop_event.set()
-                            for pending in futures:
-                                pending.cancel()
                             break
                         next_idx += 1
 
                     if self.internal_stop_event.is_set():
                         break
+
+                # Queued runs would otherwise still execute when the pool exits.
+                for pending in futures:
+                    pending.cancel()
         else:
             for run in runs:
                 if self._should_stop():
@@ -833,11 +843,36 @@ class MotionSearchRunner(threading.Thread):
         return deduplicated
 
 
-# Module-level state for managing per-camera jobs
+class MotionSearchUserBusyError(Exception):
+    """The user already has an active motion search job."""
+
+
+class MotionSearchCapacityError(Exception):
+    """The global limit of active motion search jobs is reached."""
+
+
 _motion_search_jobs: dict[str, tuple[MotionSearchJob, threading.Event]] = {}
 _jobs_lock = threading.Lock()
 
 
+def _evict_finished_jobs(now: float) -> None:
+    """Drop jobs that finished more than FINISHED_JOB_TTL ago. Caller holds the lock."""
+    expired = [
+        job_id
+        for job_id, (job, _) in _motion_search_jobs.items()
+        if job.end_time is not None and now - job.end_time > FINISHED_JOB_TTL
+    ]
+    for job_id in expired:
+        del _motion_search_jobs[job_id]
+
+
+def _is_active(job: MotionSearchJob, now: float) -> bool:
+    """True while the job's thread may still be running and holding a slot."""
+    if job.end_time is not None:
+        return False
+    return job.cancelled_at is None or now - job.cancelled_at < CANCEL_GRACE_SECONDS
+
+
 def stop_all_motion_search_jobs() -> None:
     """Cancel all running motion search jobs for clean shutdown."""
     with _jobs_lock:
@@ -857,10 +892,13 @@ def start_motion_search_job(
     min_area: float = 5.0,
     parallel: bool = False,
     max_results: int = 25,
+    username: str | None = None,
 ) -> str:
     """Start a new motion search job.
 
-    Returns the job ID.
+    Returns the job ID. Raises MotionSearchUserBusyError when ``username`` already
+    has an active job and MotionSearchCapacityError when MAX_ACTIVE_JOBS are active.
+    Pass ``username=None`` when callers share an identity to skip the per-user check.
     """
     job = MotionSearchJob(
         camera=camera_name,
@@ -871,17 +909,38 @@ def start_motion_search_job(
         min_area=min_area,
         parallel=parallel,
         max_results=max_results,
+        username=username,
     )
 
     cancel_event = threading.Event()
 
     with _jobs_lock:
+        now = datetime.now().timestamp()
+        _evict_finished_jobs(now)
+
+        # A cancelled job keeps its thread until the runner sets end_time, so it
+        # still counts toward the global cap. Its user may start a new search.
+        active = [j for j, _ in _motion_search_jobs.values() if _is_active(j, now)]
+        if username is not None and any(
+            j.username == username and j.status != JobStatusTypesEnum.cancelled
+            for j in active
+        ):
+            raise MotionSearchUserBusyError()
+        if len(active) >= MAX_ACTIVE_JOBS:
+            raise MotionSearchCapacityError()
+
         _motion_search_jobs[job.id] = (job, cancel_event)
 
-    set_current_job(job)
-
-    runner = MotionSearchRunner(job, config, cancel_event)
-    runner.start()
+    runner: MotionSearchRunner | None = None
+    try:
+        runner = MotionSearchRunner(job, config, cancel_event)
+        runner.start()
+    except Exception:
+        if runner is not None:
+            runner.requestor.stop()
+        with _jobs_lock:
+            del _motion_search_jobs[job.id]
+        raise
 
     logger.debug(
         "Started motion search job %s for camera %s: "
@@ -904,10 +963,7 @@ def get_motion_search_job(job_id: str) -> MotionSearchJob | None:
     """Get a motion search job by ID."""
     with _jobs_lock:
         job_entry = _motion_search_jobs.get(job_id)
-        if job_entry:
-            return job_entry[0]
-    # Check completed jobs via manager
-    return cast(MotionSearchJob | None, get_job_by_id("motion_search", job_id))
+    return job_entry[0] if job_entry else None
 
 
 def cancel_motion_search_job(job_id: str) -> bool:
@@ -928,6 +984,7 @@ def cancel_motion_search_job(job_id: str) -> bool:
 
         cancel_event.set()
         job.status = JobStatusTypesEnum.cancelled
+        job.cancelled_at = datetime.now().timestamp()
         job_payload = job.to_dict()
         logger.info("Cancelled motion search job %s", job_id)
 

frigate/jobs/motion_search_decode.py

@@ -10,6 +10,7 @@ import json
 import logging
 import subprocess as sp
 import tempfile
+import time
 from collections.abc import Callable, Generator
 from typing import IO
 
@@ -264,11 +265,16 @@ def iter_vod_frames(
     )
 
 
-def probe_vod_keyframe_pts(ffprobe_path: str, vod_url: str) -> list[float]:
+KEYFRAME_PROBE_TIMEOUT = 120.0
+
+
+def probe_vod_keyframe_pts(
+    ffprobe_path: str, vod_url: str, should_stop: Callable[[], bool]
+) -> list[float]:
     """Return keyframe presentation timestamps (VOD stream time) in order.
 
     Reads packet flags via ffprobe over the VOD URL (no decode). Returns [] on
-    any failure so the caller can fall back.
+    any failure, timeout, or stop request so the caller can fall back.
     """
     cmd = [
         ffprobe_path,
@@ -286,16 +292,27 @@ def probe_vod_keyframe_pts(ffprobe_path: str, vod_url: str) -> list[float]:
         "json",
     ]
     try:
-        completed = sp.run(cmd, capture_output=True, text=True, timeout=120)
-    except (OSError, sp.SubprocessError):
+        proc = sp.Popen(cmd, stdout=sp.PIPE, stderr=sp.DEVNULL, text=True)
+    except OSError:
         logger.warning("ffprobe failed for VOD keyframe probe")
         return []
 
-    if completed.returncode != 0 or not completed.stdout:
+    deadline = time.monotonic() + KEYFRAME_PROBE_TIMEOUT
+    while True:
+        try:
+            stdout, _ = proc.communicate(timeout=0.5)
+            break
+        except sp.TimeoutExpired:
+            if should_stop() or time.monotonic() > deadline:
+                proc.kill()
+                proc.communicate()
+                return []
+
+    if proc.returncode != 0 or not stdout:
         return []
 
     try:
-        packets = json.loads(completed.stdout).get("packets", [])
+        packets = json.loads(stdout).get("packets", [])
     except json.JSONDecodeError:
         return []
 

frigate/test/http_api/test_http_motion_search.py

@@ -0,0 +1,121 @@
+"""Tests for motion search job limits."""
+
+from datetime import datetime
+from unittest.mock import patch
+
+from frigate.jobs import motion_search
+from frigate.models import Event, Recordings, ReviewSegment
+from frigate.test.http_api.base_http_test import AuthTestClient, BaseTestHttp
+
+URL = "/front_door/search/motion"
+BODY = {
+    "start_time": 1000,
+    "end_time": 2000,
+    "polygon_points": [[0, 0], [1, 0], [1, 1]],
+}
+
+
+class TestHttpMotionSearch(BaseTestHttp):
+    def setUp(self):
+        super().setUp([Event, Recordings, ReviewSegment])
+        self.app = self.create_app()
+
+        motion_search._motion_search_jobs.clear()
+        self.addCleanup(motion_search._motion_search_jobs.clear)
+
+        runner_patch = patch("frigate.jobs.motion_search.MotionSearchRunner")
+        self.runner = runner_patch.start()
+        self.addCleanup(runner_patch.stop)
+
+    def start(self, client: AuthTestClient, user: str, body: dict = BODY):
+        return client.post(URL, json=body, headers={"remote-user": user})
+
+    def test_second_job_for_same_user_rejected(self):
+        with AuthTestClient(self.app) as client:
+            self.assertEqual(self.start(client, "alice").status_code, 200)
+            self.assertEqual(self.start(client, "alice").status_code, 409)
+            self.assertEqual(self.start(client, "bob").status_code, 200)
+
+    def test_user_can_start_again_after_job_finishes(self):
+        with AuthTestClient(self.app) as client:
+            job_id = self.start(client, "alice").json()["job_id"]
+            job = motion_search.get_motion_search_job(job_id)
+            job.end_time = datetime.now().timestamp()
+            self.assertEqual(self.start(client, "alice").status_code, 200)
+            self.assertIsNotNone(motion_search.get_motion_search_job(job_id))
+
+    def test_cancelled_job_frees_user_but_holds_global_slot_until_grace(self):
+        with AuthTestClient(self.app) as client:
+            job_id = self.start(client, "alice").json()["job_id"]
+            with patch("frigate.jobs.motion_search.InterProcessRequestor"):
+                self.assertTrue(motion_search.cancel_motion_search_job(job_id))
+            job = motion_search.get_motion_search_job(job_id)
+            self.assertIsNotNone(job.cancelled_at)
+            self.assertIsNone(job.end_time)
+
+            self.assertEqual(self.start(client, "alice").status_code, 200)
+            self.assertEqual(self.start(client, "bob").status_code, 200)
+            self.assertEqual(self.start(client, "carol").status_code, 429)
+
+            job.cancelled_at -= motion_search.CANCEL_GRACE_SECONDS + 1
+            self.assertEqual(self.start(client, "carol").status_code, 200)
+
+    def test_start_failure_releases_slot(self):
+        self.runner.return_value.start.side_effect = RuntimeError("boom")
+        with AuthTestClient(self.app) as client:
+            with self.assertRaises(RuntimeError):
+                self.start(client, "alice")
+            self.assertEqual(motion_search._motion_search_jobs, {})
+            self.runner.return_value.requestor.stop.assert_called_once()
+
+            self.runner.return_value.start.side_effect = None
+            self.assertEqual(self.start(client, "alice").status_code, 200)
+
+    def test_shared_identity_skips_per_user_limit(self):
+        with AuthTestClient(self.app) as client:
+            self.assertEqual(self.start(client, "anonymous").status_code, 200)
+            self.assertEqual(self.start(client, "anonymous").status_code, 200)
+
+        motion_search._motion_search_jobs.clear()
+        self.minimal_config["auth"] = {"enabled": False}
+        app = self.create_app()
+        with AuthTestClient(app) as client:
+            self.assertEqual(self.start(client, "viewer").status_code, 200)
+            self.assertEqual(self.start(client, "viewer").status_code, 200)
+
+    def test_proxy_user_header_keeps_per_user_limit_without_auth(self):
+        self.minimal_config["auth"] = {"enabled": False}
+        self.minimal_config["proxy"] = {"header_map": {"user": "x-forwarded-user"}}
+        app = self.create_app()
+        with AuthTestClient(app) as client:
+            self.assertEqual(self.start(client, "alice").status_code, 200)
+            self.assertEqual(self.start(client, "alice").status_code, 409)
+
+    def test_global_cap_enforced(self):
+        with AuthTestClient(self.app) as client:
+            for i in range(motion_search.MAX_ACTIVE_JOBS):
+                self.assertEqual(self.start(client, f"user{i}").status_code, 200)
+            self.assertEqual(self.start(client, "late").status_code, 429)
+
+    def test_finished_jobs_evicted_after_ttl(self):
+        with AuthTestClient(self.app) as client:
+            old_id = self.start(client, "alice").json()["job_id"]
+            recent_id = self.start(client, "bob").json()["job_id"]
+            running_id = self.start(client, "carol").json()["job_id"]
+
+        now = 10_000.0
+        motion_search.get_motion_search_job(old_id).end_time = (
+            now - motion_search.FINISHED_JOB_TTL - 1
+        )
+        motion_search.get_motion_search_job(recent_id).end_time = now - 1
+        motion_search._evict_finished_jobs(now)
+
+        self.assertIsNone(motion_search.get_motion_search_job(old_id))
+        self.assertIsNotNone(motion_search.get_motion_search_job(recent_id))
+        self.assertIsNotNone(motion_search.get_motion_search_job(running_id))
+
+    def test_username_and_cancel_time_not_broadcast(self):
+        job = motion_search.MotionSearchJob(username="alice", cancelled_at=1.0)
+        payload = job.to_dict()
+        self.assertNotIn("username", payload)
+        self.assertNotIn("cancelled_at", payload)

frigate/test/test_motion_search_decode.py

@@ -1,5 +1,6 @@
 """Tests for the motion search hardware-accelerated decode helpers."""
 
+import subprocess as sp
 import unittest
 from types import SimpleNamespace
 from unittest import mock
@@ -140,6 +141,11 @@ class TestVodDecodeCommand(unittest.TestCase):
 
 
 class TestProbeVodKeyframePts(unittest.TestCase):
+    def _proc(self, stdout="", returncode=0):
+        proc = mock.Mock(returncode=returncode)
+        proc.communicate.return_value = (stdout, None)
+        return proc
+
     def test_parses_keyframe_packets(self):
         sample = (
             '{"packets":['
@@ -147,19 +153,37 @@ class TestProbeVodKeyframePts(unittest.TestCase):
             '{"pts_time":"1.000000","flags":"___"},'
             '{"pts_time":"2.000000","flags":"K__"}]}'
         )
-        completed = mock.Mock(stdout=sample, returncode=0)
         with mock.patch(
-            "frigate.jobs.motion_search_decode.sp.run", return_value=completed
+            "frigate.jobs.motion_search_decode.sp.Popen",
+            return_value=self._proc(sample),
         ):
-            pts = probe_vod_keyframe_pts("ffprobe", "http://x/index.m3u8")
+            pts = probe_vod_keyframe_pts(
+                "ffprobe", "http://x/index.m3u8", lambda: False
+            )
         self.assertEqual(pts, [0.0, 2.0])
 
     def test_returns_empty_on_failure(self):
         with mock.patch(
-            "frigate.jobs.motion_search_decode.sp.run",
+            "frigate.jobs.motion_search_decode.sp.Popen",
             side_effect=OSError("boom"),
         ):
-            self.assertEqual(probe_vod_keyframe_pts("ffprobe", "http://x"), [])
+            self.assertEqual(
+                probe_vod_keyframe_pts("ffprobe", "http://x", lambda: False), []
+            )
+
+    def test_stop_request_kills_probe(self):
+        proc = self._proc()
+        proc.communicate.side_effect = [
+            sp.TimeoutExpired("ffprobe", 0.5),
+            ("", None),
+        ]
+        with mock.patch(
+            "frigate.jobs.motion_search_decode.sp.Popen", return_value=proc
+        ):
+            self.assertEqual(
+                probe_vod_keyframe_pts("ffprobe", "http://x", lambda: True), []
+            )
+        proc.kill.assert_called_once()
 
 
 class TestProbeVideoDimensions(unittest.TestCase):

frigate/test/test_runner_devices.py

@@ -1,13 +1,12 @@
 """Tests for the device each model runner reports after loading."""
 
 import os
-import sys
 import tempfile
 import threading
 import unittest
 from unittest.mock import MagicMock, patch
 
-from frigate.detectors import detection_runners, hardware
+from frigate.detectors import detection_runners
 from frigate.detectors.detection_runners import (
     CudaGraphRunner,
     ONNXModelRunner,
@@ -18,7 +17,6 @@ from frigate.detectors.detection_runners import (
     record_loaded_device,
     snapshot_loaded_devices,
 )
-from frigate.util import model as model_util
 
 
 class TestRunnerDeviceName(unittest.TestCase):
@@ -319,215 +317,3 @@ class TestLighterANE(unittest.TestCase):
             get_optimized_runner("/models/arcface.onnx", "CPU", "arcface")
 
         ane.assert_not_called()
-
-
-class TestMIGraphX(unittest.TestCase):
-    """AMD's MIGraphX plugin provider, selected through its devices in the ROCm image."""
-
-    def setUp(self):
-        loaded_devices.clear()
-        self.root = tempfile.TemporaryDirectory()
-        self.addCleanup(self.root.cleanup)
-
-        for patcher in (
-            patch.object(hardware, "detect_amd_gpu", return_value=MagicMock()),
-            patch.object(detection_runners, "MODEL_CACHE_DIR", self.root.name),
-            patch.object(detection_runners, "is_rknn_compatible", return_value=False),
-            patch.object(detection_runners, "get_lighter_ane_devices", return_value=[]),
-        ):
-            patcher.start()
-            self.addCleanup(patcher.stop)
-
-        self.plugin = MagicMock()
-        self.plugin.get_library_path.return_value = "/site/libmigraphx-ep.so"
-
-    def _device(self) -> MagicMock:
-        device = MagicMock()
-        device.ep_name = "MIGraphXExecutionProvider"
-        return device
-
-    def test_no_devices_outside_the_rocm_image(self):
-        with (
-            patch.dict(sys.modules, {"onnxruntime_ep_migraphx": None}),
-            patch.object(
-                detection_runners.ort, "register_execution_provider_library"
-            ) as register,
-        ):
-            self.assertEqual(detection_runners.get_migraphx_devices(), [])
-            self.assertEqual(detection_runners.get_migraphx_devices(), [])
-
-        register.assert_not_called()
-
-    def test_no_devices_without_an_amd_gpu(self):
-        with (
-            patch.dict(sys.modules, {"onnxruntime_ep_migraphx": self.plugin}),
-            patch.object(hardware, "detect_amd_gpu", return_value=None),
-            patch.object(detection_runners.ort, "get_ep_devices") as get_ep_devices,
-            patch.object(
-                detection_runners.ort, "register_execution_provider_library"
-            ) as register,
-        ):
-            self.assertEqual(detection_runners.get_migraphx_devices(), [])
-
-        get_ep_devices.assert_not_called()
-        register.assert_not_called()
-
-    def test_the_provider_is_registered_once(self):
-        device = self._device()
-        other = MagicMock()
-        other.ep_name = "CPUExecutionProvider"
-
-        with (
-            patch.dict(sys.modules, {"onnxruntime_ep_migraphx": self.plugin}),
-            patch.object(
-                detection_runners.ort,
-                "get_ep_devices",
-                side_effect=[[other], [other, device], [other, device]],
-            ),
-            patch.object(
-                detection_runners.ort, "register_execution_provider_library"
-            ) as register,
-        ):
-            self.assertEqual(detection_runners.get_migraphx_devices(), [device])
-            self.assertEqual(detection_runners.get_migraphx_devices(), [device])
-
-        register.assert_called_once_with(
-            "MIGraphXExecutionProvider", "/site/libmigraphx-ep.so"
-        )
-
-    def test_a_provider_that_will_not_load_is_skipped(self):
-        with (
-            patch.dict(sys.modules, {"onnxruntime_ep_migraphx": self.plugin}),
-            patch.object(detection_runners.ort, "get_ep_devices", return_value=[]),
-            patch.object(
-                detection_runners.ort,
-                "register_execution_provider_library",
-                side_effect=RuntimeError("libamdhip64.so.7: cannot open shared object"),
-            ),
-            self.assertLogs(detection_runners.logger, level="WARNING"),
-        ):
-            self.assertEqual(detection_runners.get_migraphx_devices(), [])
-
-    def test_the_session_runs_on_the_first_gpu(self):
-        device = self._device()
-        session = MagicMock()
-        session.get_providers.return_value = [
-            "MIGraphXExecutionProvider",
-            "CPUExecutionProvider",
-        ]
-        options = MagicMock()
-
-        with (
-            patch.object(
-                detection_runners,
-                "get_migraphx_devices",
-                return_value=[device, self._device()],
-            ),
-            patch.object(
-                detection_runners, "get_ort_session_options", return_value=options
-            ),
-            patch.object(
-                detection_runners.ort, "InferenceSession", return_value=session
-            ) as inference_session,
-        ):
-            runner = get_optimized_runner("/models/yolo.onnx", "AUTO", "yolo-generic")
-
-        cache_dir = os.path.join(self.root.name, "migraphx/ort")
-        options.add_provider_for_devices.assert_called_once_with(
-            [device], {"cache_dir": cache_dir}
-        )
-        inference_session.assert_called_once_with(
-            "/models/yolo.onnx", sess_options=options
-        )
-        self.assertTrue(os.path.isdir(cache_dir))
-        self.assertIsInstance(runner, ONNXModelRunner)
-        self.assertEqual(
-            loaded_devices["/models/yolo.onnx"], ("yolo-generic", "MIGraphX")
-        )
-
-    def test_a_model_migraphx_cannot_load_uses_the_default_providers(self):
-        session = MagicMock()
-        session.get_providers.return_value = ["CPUExecutionProvider"]
-
-        with (
-            patch.object(
-                detection_runners,
-                "get_migraphx_devices",
-                return_value=[self._device()],
-            ),
-            patch.object(
-                detection_runners,
-                "get_ort_providers",
-                return_value=(["CPUExecutionProvider"], [{}]),
-            ),
-            patch.object(
-                detection_runners, "is_openvino_gpu_npu_available", return_value=False
-            ),
-            patch.object(
-                detection_runners.ort,
-                "InferenceSession",
-                side_effect=[RuntimeError("compile failed"), session],
-            ) as inference_session,
-            patch.object(
-                detection_runners, "get_ort_session_options", return_value=MagicMock()
-            ),
-            self.assertLogs(detection_runners.logger, level="WARNING"),
-        ):
-            runner = get_optimized_runner("/models/arcface.onnx", "AUTO", "arcface")
-
-        self.assertEqual(inference_session.call_count, 2)
-        self.assertIsInstance(runner, ONNXModelRunner)
-        self.assertEqual(loaded_devices["/models/arcface.onnx"], ("arcface", "CPU"))
-
-    def test_unsupported_models_and_cpu_models_skip_migraphx(self):
-        for model_path, device, model_type in [
-            ("/models/paddleocr.onnx", "AUTO", "paddleocr"),
-            ("/models/dfine.onnx", "AUTO", "dfine"),
-            ("/models/yolo.onnx", "CPU", "yolo-generic"),
-        ]:
-            session = MagicMock()
-            session.get_providers.return_value = ["CPUExecutionProvider"]
-
-            with (
-                self.subTest(model_type=model_type, device=device),
-                patch.object(
-                    detection_runners,
-                    "get_migraphx_devices",
-                    return_value=[self._device()],
-                ) as migraphx,
-                patch.object(
-                    detection_runners,
-                    "get_ort_providers",
-                    return_value=(["CPUExecutionProvider"], [{}]),
-                ),
-                patch.object(
-                    detection_runners,
-                    "is_openvino_gpu_npu_available",
-                    return_value=False,
-                ),
-                patch.object(
-                    detection_runners.ort, "InferenceSession", return_value=session
-                ),
-                patch.object(
-                    detection_runners, "get_ort_session_options", return_value=None
-                ),
-            ):
-                get_optimized_runner(model_path, device, model_type)
-
-            migraphx.assert_not_called()
-            self.assertEqual(loaded_devices[model_path], (model_type, "CPU"))
-
-    def test_migraphx_is_never_requested_by_name(self):
-        with patch.object(
-            model_util.ort,
-            "get_available_providers",
-            return_value=[
-                "AzureExecutionProvider",
-                "CPUExecutionProvider",
-                "MIGraphXExecutionProvider",
-            ],
-        ):
-            providers, options = model_util.get_ort_providers()
-
-        self.assertEqual(providers, ["CPUExecutionProvider"])
-        self.assertEqual(options, [{"enable_cpu_mem_arena": False}])

frigate/util/model.py

@@ -385,9 +385,15 @@ def get_ort_providers(
                     }
                 )
         elif provider == "MIGraphXExecutionProvider":
-            # MIGraphX is a plugin provider, which ONNX Runtime can't create by
-            # name, so get_optimized_runner selects it through its devices
-            continue
+            migraphx_cache_dir = os.path.join(MODEL_CACHE_DIR, "migraphx")
+            os.makedirs(migraphx_cache_dir, exist_ok=True)
+
+            providers.append(provider)
+            options.append(
+                {
+                    "migraphx_model_cache_dir": migraphx_cache_dir,
+                }
+            )
         elif provider == "CPUExecutionProvider":
             providers.append(provider)
             options.append(

web/package.json

@@ -23,28 +23,28 @@
   "dependencies": {
     "@cycjimmy/jsmpeg-player": "^6.1.2",
     "@hookform/resolvers": "^5.9.1",
-    "@radix-ui/react-alert-dialog": "^1.2.1",
-    "@radix-ui/react-aspect-ratio": "^1.2.0",
-    "@radix-ui/react-checkbox": "^1.4.1",
-    "@radix-ui/react-collapsible": "^1.2.1",
-    "@radix-ui/react-context-menu": "^2.4.1",
+    "@radix-ui/react-alert-dialog": "^1.1.24",
+    "@radix-ui/react-aspect-ratio": "^1.1.16",
+    "@radix-ui/react-checkbox": "^1.3.12",
+    "@radix-ui/react-collapsible": "^1.1.21",
+    "@radix-ui/react-context-menu": "^2.3.8",
     "@radix-ui/react-dialog": "^1.2.0",
-    "@radix-ui/react-dropdown-menu": "^2.2.1",
-    "@radix-ui/react-hover-card": "^1.2.1",
-    "@radix-ui/react-label": "^2.1.17",
-    "@radix-ui/react-popover": "^1.3.1",
-    "@radix-ui/react-progress": "^1.2.1",
-    "@radix-ui/react-radio-group": "^1.5.1",
-    "@radix-ui/react-scroll-area": "^1.4.0",
-    "@radix-ui/react-select": "^2.4.1",
-    "@radix-ui/react-separator": "^1.2.0",
-    "@radix-ui/react-slider": "^1.6.1",
-    "@radix-ui/react-slot": "1.5.0",
-    "@radix-ui/react-switch": "^1.4.1",
-    "@radix-ui/react-tabs": "^1.2.1",
-    "@radix-ui/react-toggle": "^1.2.1",
-    "@radix-ui/react-toggle-group": "^1.2.1",
-    "@radix-ui/react-tooltip": "^1.4.1",
+    "@radix-ui/react-dropdown-menu": "^2.1.25",
+    "@radix-ui/react-hover-card": "^1.1.24",
+    "@radix-ui/react-label": "^2.1.16",
+    "@radix-ui/react-popover": "^1.2.0",
+    "@radix-ui/react-progress": "^1.1.17",
+    "@radix-ui/react-radio-group": "^1.4.8",
+    "@radix-ui/react-scroll-area": "^1.3.0",
+    "@radix-ui/react-select": "^2.3.8",
+    "@radix-ui/react-separator": "^1.1.16",
+    "@radix-ui/react-slider": "^1.5.0",
+    "@radix-ui/react-slot": "1.4.0",
+    "@radix-ui/react-switch": "^1.3.8",
+    "@radix-ui/react-tabs": "^1.1.22",
+    "@radix-ui/react-toggle": "^1.1.19",
+    "@radix-ui/react-toggle-group": "^1.1.20",
+    "@radix-ui/react-tooltip": "^1.3.0",
     "@rjsf/core": "^6.10.1",
     "@rjsf/shadcn": "^6.10.1",
     "@rjsf/utils": "^6.10.1",
@@ -127,6 +127,7 @@
   },
   "overrides": {
     "@radix-ui/react-compose-refs": "1.1.2",
-    "@radix-ui/react-slot": "1.5.0"
+    "@radix-ui/react-popper": "1.2.8",
+    "@radix-ui/react-slot": "1.4.0"
   }
 }

web/public/locales/en/views/motionSearch.json

@@ -56,6 +56,8 @@
     "noROI": "Please draw a region of interest",
     "noTimeRange": "Please select a time range",
     "invalidTimeRange": "End time must be after start time",
+    "alreadyRunning": "You already have a motion search running. Wait for it to finish or cancel it.",
+    "tooManySearches": "Too many motion searches are running. Try again when one finishes.",
     "searchFailed": "Search failed: {{message}}",
     "polygonTooSmall": "Polygon must have at least 3 points",
     "unknown": "Unknown error"

web/src/components/preview/ScrubbablePreview.tsx

@@ -210,7 +210,7 @@ export function VideoPreview({
   }, [playerRef]);
 
   const onProgressHover = useCallback(
-    (event: React.MouseEvent<HTMLElement>) => {
+    (event: React.MouseEvent<HTMLDivElement>) => {
       if (!sliderRef.current) {
         return;
       }
@@ -401,7 +401,7 @@ export function InProgressPreview({
   );
 
   const onProgressHover = useCallback(
-    (event: React.MouseEvent<HTMLElement>) => {
+    (event: React.MouseEvent<HTMLDivElement>) => {
       if (!sliderRef.current || !previewFrames) {
         return;
       }

web/src/views/motion-search/MotionSearchView.tsx

@@ -892,6 +892,20 @@ export default function MotionSearchView({
         setIsSearching(false);
       }
     } catch (error) {
+      const status = axios.isAxiosError(error)
+        ? error.response?.status
+        : undefined;
+
+      if (status === 409 || status === 429) {
+        toast.error(
+          t(
+            status === 409 ? "errors.alreadyRunning" : "errors.tooManySearches",
+          ),
+        );
+        setIsSearching(false);
+        return;
+      }
+
       let errorMessage = t("errors.unknown");
 
       if (axios.isAxiosError<{ message?: string; detail?: string }>(error)) {