install: bump node

server: fix package lock
postbeta
2026-02-05 23:22:13 +00:00 · 2025-05-07 09:32:35 -07:00 · 2025-04-29 11:43:02 -07:00 · 2025-04-28 20:30:02 -07:00 · 2025-04-28 12:54:15 -07:00 · 2025-04-28 12:09:32 -07:00
33 changed files with 554 additions and 303 deletions
--- a/common/src/rtsp-server.ts
+++ b/common/src/rtsp-server.ts
@@ -93,8 +93,12 @@ export const H265_NAL_TYPE_AGG = 48;
 export const H265_NAL_TYPE_VPS = 32;
 export const H265_NAL_TYPE_SPS = 33;
 export const H265_NAL_TYPE_PPS = 34;
-export const H265_NAL_TYPE_IDR_N = 19;
-export const H265_NAL_TYPE_IDR_W = 20;
+export const H265_NAL_TYPE_BLA_W_LP = 16;
+export const H265_NAL_TYPE_BLA_W_RADL = 17;
+export const H265_NAL_TYPE_BLA_N_LP = 18;
+export const H265_NAL_TYPE_IDR_W_RADL = 19;
+export const H265_NAL_TYPE_IDR_N_LP = 20;
+export const H265_NAL_TYPE_CRA_NUT = 21;
 export const H265_NAL_TYPE_FU = 49;
 export const H265_NAL_TYPE_SEI_PREFIX = 39;
 export const H265_NAL_TYPE_SEI_SUFFIX = 40;
@@ -252,6 +256,26 @@ export function getNaluTypesInH265Nalu(nalu: Buffer, fuaRequireStart = false, fu
    return ret;
 }

+export function isH265KeyFrameRelatedInSet(naluTypes: Set<number>, allowCodecInfo = true) {
+    if (naluTypes.has(H265_NAL_TYPE_IDR_N_LP)
+        || naluTypes.has(H265_NAL_TYPE_IDR_W_RADL)
+        || naluTypes.has(H265_NAL_TYPE_CRA_NUT)
+        || naluTypes.has(H265_NAL_TYPE_BLA_N_LP)
+        || naluTypes.has(H265_NAL_TYPE_BLA_W_LP)
+        || naluTypes.has(H265_NAL_TYPE_BLA_W_RADL)) {
+        return true;
+    }
+
+    if (allowCodecInfo) {
+        if (naluTypes.has(H265_NAL_TYPE_VPS)
+            || naluTypes.has(H265_NAL_TYPE_SPS)
+            || naluTypes.has(H265_NAL_TYPE_PPS))
+            return true;
+    }
+    return false;
+}
+
+
 export function createRtspParser(options?: StreamParserOptions): RtspStreamParser {
    let resolve: any;

@@ -283,12 +307,7 @@ export function createRtspParser(options?: StreamParserOptions): RtspStreamParse
                else if (streamChunk.type === 'h265') {
                    const naluTypes = getStartedH265NaluTypes(streamChunk);

-                    if (naluTypes.has(H265_NAL_TYPE_VPS)
-                        || naluTypes.has(H265_NAL_TYPE_SPS)
-                        || naluTypes.has(H265_NAL_TYPE_PPS)
-                        || naluTypes.has(H265_NAL_TYPE_IDR_N)
-                        || naluTypes.has(H265_NAL_TYPE_IDR_W)
-                    ) {
+                    if (isH265KeyFrameRelatedInSet(naluTypes)) {
                        return streamChunks.slice(prebufferIndex);
                    }
                }
@@ -670,9 +689,12 @@ export class RtspClient extends RtspBase {
        // @ts-ignore
        const { parseHTTPHeadersQuotedKeyValueSet } = await import('http-auth-utils/dist/utils');

+        const authedUrl = new URL(this.url);
+        const username = decodeURIComponent(authedUrl.username);
+        const password = decodeURIComponent(authedUrl.password);
+
        if (this.wwwAuthenticate.includes('Basic')) {
-            const parsedUrl = new URL(this.url);
-            const hash = BASIC.computeHash({ username: parsedUrl.username, password: parsedUrl.password });
+            const hash = BASIC.computeHash({ username, password });
            return `Basic ${hash}`;
        }

@@ -692,10 +714,6 @@ export class RtspClient extends RtspBase {
            REQUIRED_WWW_AUTHENTICATE_KEYS,
        ) as DigestWWWAuthenticateData;

-        const authedUrl = new URL(this.url);
-        const username = decodeURIComponent(authedUrl.username);
-        const password = decodeURIComponent(authedUrl.password);
-
        const strippedUrl = new URL(url.toString());
        strippedUrl.username = '';
        strippedUrl.password = '';
--- a/common/src/sdp-utils.ts
+++ b/common/src/sdp-utils.ts
@@ -175,6 +175,8 @@ export type RTPMap = ReturnType<typeof parseRtpMap>;
 export function parseRtpMap(mline: ReturnType<typeof parseMLine>, rtpmap: string) {
    const mlineType = mline.type;
    const match = rtpmap?.match(/a=rtpmap:([\d]+) (.*?)\/([\d]+)(\/([\d]+))?/);
+    let channels = parseInt(match?.[5]) || undefined;
+    let payloadType = parseInt(match?.[1]);

    rtpmap = rtpmap?.toLowerCase();

@@ -222,14 +224,20 @@ export function parseRtpMap(mline: ReturnType<typeof parseMLine>, rtpmap: string
        if (mline.payloadTypes?.includes(0)) {
            codec = 'pcm_mulaw';
            ffmpegEncoder = 'pcm_mulaw';
+            payloadType = 0;
+            channels = 1;
        }
        else if (mline.payloadTypes?.includes(8)) {
            codec = 'pcm_alaw';
            ffmpegEncoder = 'pcm_alaw';
+            payloadType = 8;
+            channels = 1;
        }
        else if (mline.payloadTypes?.includes(14)) {
            codec = 'mp3';
            ffmpegEncoder = 'mp3';
+            payloadType = 14;
+            channels = 2;
        }
        else {
            // ffmpeg seems to omit the rtpmap type for pcm alaw when creating sdp?
@@ -239,17 +247,29 @@ export function parseRtpMap(mline: ReturnType<typeof parseMLine>, rtpmap: string
            // https://en.wikipedia.org/wiki/RTP_payload_formats
            codec = 'pcm_alaw';
            ffmpegEncoder = 'pcm_alaw';
+            payloadType = 8;
+            channels = 1;
        }
    }

+    // assigned payload types do not need to provide a clock, there is a default.
+    let clock = parseInt(match?.[3]);
+    if (!clock) {
+        clock = undefined;
+        if (codec === 'pcm_mulaw' || codec === 'pcm_alaw')
+            clock = 8000;
+        else if (codec === 'pcm_s16be')
+            clock = 16000;
+    }
+
    return {
        line: rtpmap,
        codec,
        ffmpegEncoder,
        rawCodec: match?.[2],
-        clock: parseInt(match?.[3]),
-        channels: parseInt(match?.[5]) || undefined,
-        payloadType: parseInt(match?.[1]),
+        clock,
+        channels,
+        payloadType,
    }
 }

--- a/install/local/install-scrypted-dependencies-mac.sh
+++ b/install/local/install-scrypted-dependencies-mac.sh
@@ -42,9 +42,6 @@ RUN brew update

 # in sequoia, brew node is unusable because it is not signed and can't access local network unless run as root.
 # https://developer.apple.com/forums/thread/766270
-# RUN_IGNORE brew install node@20
-# NODE_PATH=$(brew --prefix node@20)
-# NODE_BIN_PATH=$NODE_PATH/bin
 RUN_IGNORE curl -L https://nodejs.org/dist/v22.14.0/node-v22.14.0.pkg -o /tmp/node.pkg
 RUN_IGNORE sudo installer -pkg /tmp/node.pkg -target /
 NODE_PATH=/usr/local # used to pass var test
@@ -88,13 +85,13 @@ RUN mkdir -p ~/Library/LaunchAgents

 if [ ! -d "$NODE_PATH" ]
 then
-    echo "Unable to determine node@20 path."
+    echo "Unable to determine node path."
    exit 1
 fi

 if [ ! -d "$NODE_BIN_PATH" ]
 then
-    echo "Unable to determine node@20 bin path."
+    echo "Unable to determine node bin path."
    echo "$NODE_BIN_PATH does not exist."
    exit 1
 fi
--- a/install/local/install-scrypted-dependencies-win.ps1
+++ b/install/local/install-scrypted-dependencies-win.ps1
@@ -19,7 +19,7 @@ sc.exe stop scrypted.exe
 iex ((New-Object System.Net.WebClient).DownloadString('https://chocolatey.org/install.ps1'))

 # Install node.js
-choco upgrade -y nodejs-lts --version=20.18.0
+choco upgrade -y nodejs-lts --version=22.15.0

 # Install VC Redist, which is necessary for portable python
 choco install -y vcredist140
@@ -34,7 +34,7 @@ $SCRYPTED_WINDOWS_PYTHON_VERSION="-3.9"
 $env:Path = [System.Environment]::GetEnvironmentVariable("Path","Machine") + ";" + [System.Environment]::GetEnvironmentVariable("Path","User") 

 # Workaround Windows Node no longer creating %APPDATA%\npm which causes npx to fail
-# Fixed in newer versions of NPM but not the one bundled with Node 20
+# Fixed in newer versions of NPM but not the one bundled with Node 2x
 # https://github.com/nodejs/node/issues/53538
 npm i -g npm

--- a/packages/rpc/package-lock.json
+++ b/packages/rpc/package-lock.json
@@ -1,12 +1,12 @@
 {
  "name": "@scrypted/rpc",
-  "version": "0.0.7",
+  "version": "0.0.8",
  "lockfileVersion": 2,
  "requires": true,
  "packages": {
    "": {
      "name": "@scrypted/rpc",
-      "version": "0.0.7",
+      "version": "0.0.8",
      "license": "ISC",
      "devDependencies": {
        "@types/node": "^18.11.18",
--- a/packages/rpc/package.json
+++ b/packages/rpc/package.json
@@ -1,6 +1,6 @@
 {
  "name": "@scrypted/rpc",
-  "version": "0.0.7",
+  "version": "0.0.8",
  "description": "",
  "main": "dist/index.js",
  "scripts": {
--- a/plugins/coreml/src/coreml/face_recognition.py
+++ b/plugins/coreml/src/coreml/face_recognition.py
@@ -25,9 +25,6 @@ def cosine_similarity(vector_a, vector_b):
    similarity = dot_product / (norm_a * norm_b)
    return similarity

-
-predictExecutor = concurrent.futures.ThreadPoolExecutor(8, "Vision-Predict")
-
 class CoreMLFaceRecognition(FaceRecognizeDetection):
    def __init__(self, plugin, nativeId: str):
        super().__init__(plugin, nativeId)
--- a/plugins/ncnn/.vscode/settings.json
+++ b/plugins/ncnn/.vscode/settings.json
@@ -1,6 +1,6 @@

 {
-    "scrypted.debugHost": "scrypted-nvr",
+    "scrypted.debugHost": "scrypted-amd",
    "python.analysis.extraPaths": [
        "./node_modules/@scrypted/sdk/types/scrypted_python"
    ]
--- a/plugins/ncnn/package-lock.json
+++ b/plugins/ncnn/package-lock.json
@@ -1,34 +1,41 @@
 {
-   "name": "@scrypted/coreml",
-   "version": "0.1.77",
+   "name": "@scrypted/ncnn",
+   "version": "0.1.82",
   "lockfileVersion": 2,
   "requires": true,
   "packages": {
      "": {
-         "name": "@scrypted/coreml",
-         "version": "0.1.77",
+         "name": "@scrypted/ncnn",
+         "version": "0.1.82",
         "devDependencies": {
            "@scrypted/sdk": "file:../../sdk"
         }
      },
      "../../sdk": {
         "name": "@scrypted/sdk",
-         "version": "0.3.77",
+         "version": "0.5.12",
         "dev": true,
         "license": "ISC",
         "dependencies": {
            "@babel/preset-typescript": "^7.26.0",
+            "@rollup/plugin-commonjs": "^28.0.1",
+            "@rollup/plugin-json": "^6.1.0",
+            "@rollup/plugin-node-resolve": "^15.3.0",
+            "@rollup/plugin-typescript": "^12.1.1",
+            "@rollup/plugin-virtual": "^3.0.2",
            "adm-zip": "^0.5.16",
-            "axios": "^1.7.7",
+            "axios": "^1.7.8",
            "babel-loader": "^9.2.1",
            "babel-plugin-const-enum": "^1.2.0",
            "ncp": "^2.0.0",
            "raw-loader": "^4.0.2",
            "rimraf": "^6.0.1",
+            "rollup": "^4.27.4",
            "tmp": "^0.2.3",
            "ts-loader": "^9.5.1",
-            "typescript": "^5.5.4",
-            "webpack": "^5.95.0",
+            "tslib": "^2.8.1",
+            "typescript": "^5.6.3",
+            "webpack": "^5.96.1",
            "webpack-bundle-analyzer": "^4.10.2"
         },
         "bin": {
@@ -41,11 +48,9 @@
            "scrypted-webpack": "bin/scrypted-webpack.js"
         },
         "devDependencies": {
-            "@types/node": "^22.8.1",
-            "@types/stringify-object": "^4.0.5",
-            "stringify-object": "^3.3.0",
+            "@types/node": "^22.10.1",
            "ts-node": "^10.9.2",
-            "typedoc": "^0.26.10"
+            "typedoc": "^0.26.11"
         }
      },
      "../sdk": {
@@ -61,22 +66,27 @@
         "version": "file:../../sdk",
         "requires": {
            "@babel/preset-typescript": "^7.26.0",
-            "@types/node": "^22.8.1",
-            "@types/stringify-object": "^4.0.5",
+            "@rollup/plugin-commonjs": "^28.0.1",
+            "@rollup/plugin-json": "^6.1.0",
+            "@rollup/plugin-node-resolve": "^15.3.0",
+            "@rollup/plugin-typescript": "^12.1.1",
+            "@rollup/plugin-virtual": "^3.0.2",
+            "@types/node": "^22.10.1",
            "adm-zip": "^0.5.16",
-            "axios": "^1.7.7",
+            "axios": "^1.7.8",
            "babel-loader": "^9.2.1",
            "babel-plugin-const-enum": "^1.2.0",
            "ncp": "^2.0.0",
            "raw-loader": "^4.0.2",
            "rimraf": "^6.0.1",
-            "stringify-object": "^3.3.0",
+            "rollup": "^4.27.4",
            "tmp": "^0.2.3",
            "ts-loader": "^9.5.1",
            "ts-node": "^10.9.2",
-            "typedoc": "^0.26.10",
-            "typescript": "^5.5.4",
-            "webpack": "^5.95.0",
+            "tslib": "^2.8.1",
+            "typedoc": "^0.26.11",
+            "typescript": "^5.6.3",
+            "webpack": "^5.96.1",
            "webpack-bundle-analyzer": "^4.10.2"
         }
      }
--- a/plugins/ncnn/package.json
+++ b/plugins/ncnn/package.json
@@ -38,11 +38,15 @@
         "ClusterForkInterface",
         "ObjectDetection",
         "ObjectDetectionPreview"
-      ]
-
+      ],
+      "labels": {
+         "require": [
+            "@scrypted/ncnn"
+         ]
+      }
   },
   "devDependencies": {
      "@scrypted/sdk": "file:../../sdk"
   },
-   "version": "0.1.77"
+   "version": "0.1.82"
 }
--- a/plugins/ncnn/src/nc/init.py
+++ b/plugins/ncnn/src/nc/init.py
@@ -3,9 +3,7 @@ from __future__ import annotations
 import ast
 import asyncio
 import concurrent.futures
-import os
 import re
-import threading
 import traceback
 from typing import Any, List, Tuple

@@ -18,11 +16,11 @@ import ncnn
 from common import yolo

 try:
-    from ncnn.face_recognition import NCNNFaceRecognition
+    from nc.face_recognition import NCNNFaceRecognition
 except:
    NCNNFaceRecognition = None
 try:
-    from ncnn.text_recognition import NCNNTextRecognition
+    from nc.text_recognition import NCNNTextRecognition
 except:
    NCNNTextRecognition = None
 from predict import Prediction, PredictPlugin
@@ -33,18 +31,14 @@ prepareExecutor = concurrent.futures.ThreadPoolExecutor(1, "NCNN-Prepare")

 availableModels = [
    "Default",
-    "scrypted_yolov10m_320",
-    "scrypted_yolov10n_320",
-    "scrypted_yolo_nas_s_320",
-    "scrypted_yolov9e_320",
+    "scrypted_yolov9c_relu_320",
+    "scrypted_yolov9m_relu_320",
+    "scrypted_yolov9s_relu_320",
+    "scrypted_yolov9t_relu_320",
    "scrypted_yolov9c_320",
+    "scrypted_yolov9m_320",
    "scrypted_yolov9s_320",
    "scrypted_yolov9t_320",
-    "scrypted_yolov6n_320",
-    "scrypted_yolov6s_320",
-    "scrypted_yolov8n_320",
-    "ssdlite_mobilenet_v2",
-    "yolov4-tiny",
 ]


@@ -106,7 +100,7 @@ class NCNNPlugin(
            }
            files = [
                f"{model}/best_converted.ncnn.bin",
-                f"{model}//best_converted.ncnn.param",
+                f"{model}/best_converted.ncnn.param",
            ]

            for f in files:
@@ -123,14 +117,10 @@ class NCNNPlugin(


        self.net = ncnn.Net()
-        # self.net.opt.use_vulkan_compute = True
-        # self.net.opt.use_winograd_convolution = False
-        # self.net.opt.use_sgemm_convolution = False
-        # self.net.opt.use_fp16_packed = False
-        # self.net.opt.use_fp16_storage = False
-        # self.net.opt.use_fp16_arithmetic = False
-        # self.net.opt.use_int8_storage = False
-        # self.net.opt.use_int8_arithmetic = False
+        self.net.opt.use_vulkan_compute = True
+        self.net.opt.use_fp16_packed = False
+        self.net.opt.use_fp16_storage = False
+        self.net.opt.use_fp16_arithmetic = False

        self.net.load_param(paramFile)
        self.net.load_model(binFile)
@@ -153,55 +143,55 @@ class NCNNPlugin(
        # self.loop = asyncio.get_event_loop()
        # self.minThreshold = 0.2

-    #     self.faceDevice = None
-    #     self.textDevice = None
+        self.faceDevice = None
+        self.textDevice = None

-    #     if not self.forked:
-    #         asyncio.ensure_future(self.prepareRecognitionModels(), loop=self.loop)
+        if not self.forked:
+            asyncio.ensure_future(self.prepareRecognitionModels(), loop=self.loop)

-    # async def prepareRecognitionModels(self):
-    #     try:
-    #         devices = [
-    #             {
-    #                 "nativeId": "facerecognition",
-    #                 "type": scrypted_sdk.ScryptedDeviceType.Builtin.value,
-    #                 "interfaces": [
-    #                         scrypted_sdk.ScryptedInterface.ClusterForkInterface.value,
-    #                     scrypted_sdk.ScryptedInterface.ObjectDetection.value,
-    #                 ],
-    #                 "name": "NCNN Face Recognition",
-    #             },
-    #         ]
+    async def prepareRecognitionModels(self):
+        try:
+            devices = [
+                {
+                    "nativeId": "facerecognition",
+                    "type": scrypted_sdk.ScryptedDeviceType.Builtin.value,
+                    "interfaces": [
+                            scrypted_sdk.ScryptedInterface.ClusterForkInterface.value,
+                        scrypted_sdk.ScryptedInterface.ObjectDetection.value,
+                    ],
+                    "name": "NCNN Face Recognition",
+                },
+            ]

-    #         if NCNNTextRecognition:
-    #             devices.append(
-    #                 {
-    #                     "nativeId": "textrecognition",
-    #                     "type": scrypted_sdk.ScryptedDeviceType.Builtin.value,
-    #                     "interfaces": [
-    #                         scrypted_sdk.ScryptedInterface.ClusterForkInterface.value,
-    #                         scrypted_sdk.ScryptedInterface.ObjectDetection.value,
-    #                     ],
-    #                     "name": "NCNN Text Recognition",
-    #                 },
-    #             )
+            if NCNNTextRecognition:
+                devices.append(
+                    {
+                        "nativeId": "textrecognition",
+                        "type": scrypted_sdk.ScryptedDeviceType.Builtin.value,
+                        "interfaces": [
+                            scrypted_sdk.ScryptedInterface.ClusterForkInterface.value,
+                            scrypted_sdk.ScryptedInterface.ObjectDetection.value,
+                        ],
+                        "name": "NCNN Text Recognition",
+                    },
+                )

-    #         await scrypted_sdk.deviceManager.onDevicesChanged(
-    #             {
-    #                 "devices": devices,
-    #             }
-    #         )
-    #     except:
-    #         pass
+            await scrypted_sdk.deviceManager.onDevicesChanged(
+                {
+                    "devices": devices,
+                }
+            )
+        except:
+            pass

-    # async def getDevice(self, nativeId: str) -> Any:
-    #     if nativeId == "facerecognition":
-    #         self.faceDevice = self.faceDevice or NCNNFaceRecognition(self, nativeId)
-    #         return self.faceDevice
-    #     if nativeId == "textrecognition":
-    #         self.textDevice = self.textDevice or NCNNTextRecognition(self, nativeId)
-    #         return self.textDevice
-    #     raise Exception("unknown device")
+    async def getDevice(self, nativeId: str) -> Any:
+        if nativeId == "facerecognition":
+            self.faceDevice = self.faceDevice or NCNNFaceRecognition(self, nativeId)
+            return self.faceDevice
+        if nativeId == "textrecognition":
+            self.textDevice = self.textDevice or NCNNTextRecognition(self, nativeId)
+            return self.textDevice
+        raise Exception("unknown device")

    async def getSettings(self) -> list[Setting]:
        model = self.storage.getItem("model") or "Default"
@@ -239,6 +229,8 @@ class NCNNPlugin(
            im = np.expand_dims(input, axis=0)
            im = im.transpose((0, 3, 1, 2))  # BHWC to BCHW, (n, 3, h, w)
            im = im.astype(np.float32) / 255.0
+            # no batch? https://github.com/Tencent/ncnn/issues/5990#issuecomment-2832927105
+            im = im.reshape((1, 3, 320, 320)).squeeze(0)
            im = np.ascontiguousarray(im)  # contiguous
            return im

--- a/plugins/ncnn/src/nc/async_infer.py
+++ b/plugins/ncnn/src/nc/async_infer.py
@@ -0,0 +1 @@
+../../../openvino/src/ov/async_infer.py
--- a/plugins/ncnn/src/nc/face_recognition.py
+++ b/plugins/ncnn/src/nc/face_recognition.py
@@ -0,0 +1,111 @@
+from __future__ import annotations
+
+import asyncio
+
+import numpy as np
+from PIL import Image
+
+import ncnn
+from nc import async_infer
+from predict.face_recognize import FaceRecognizeDetection
+
+faceDetectPrepare, faceDetectPredict = async_infer.create_executors("FaceDetect")
+faceRecognizePrepare, faceRecognizePredict = async_infer.create_executors(
+    "FaceRecognize"
+)
+
+
+class NCNNFaceRecognition(FaceRecognizeDetection):
+    def __init__(self, plugin, nativeId: str):
+        super().__init__(plugin=plugin, nativeId=nativeId)
+        self.prefer_relu = True
+
+    def downloadModel(self, model: str):
+        scrypted_yolov9 = "scrypted_yolov9" in model
+        ncnnmodel = "best_converted" if scrypted_yolov9 else model
+        model_version = "v1"
+        files = [
+            f"{model}/{ncnnmodel}.ncnn.bin",
+            f"{model}/{ncnnmodel}.ncnn.param",
+        ]
+
+        for f in files:
+            p = self.downloadFile(
+                f"https://github.com/koush/ncnn-models/raw/main/{f}",
+                f"{model_version}/{f}",
+            )
+            if ".bin" in p:
+                binFile = p
+            if ".param" in p:
+                paramFile = p
+
+
+        net = ncnn.Net()
+        net.opt.use_vulkan_compute = True
+        net.opt.use_fp16_packed = False
+        net.opt.use_fp16_storage = False
+        net.opt.use_fp16_arithmetic = False
+
+        net.load_param(paramFile)
+        net.load_model(binFile)
+
+        input_name = net.input_names()[0]
+
+        return [net, input_name]
+
+    async def predictDetectModel(self, input: Image.Image):
+        def prepare():
+            im = np.array(input)
+            im = np.expand_dims(input, axis=0)
+            im = im.transpose((0, 3, 1, 2))  # BHWC to BCHW, (n, 3, h, w)
+            im = im.astype(np.float32) / 255.0
+            # no batch? https://github.com/Tencent/ncnn/issues/5990#issuecomment-2832927105
+            im = im.reshape((1, 3, 320, 320)).squeeze(0)
+            im = np.ascontiguousarray(im)  # contiguous
+            return im
+
+        def predict(input_tensor):
+            net, input_name = self.detectModel
+            input_ncnn = ncnn.Mat(input_tensor)
+            ex = net.create_extractor()
+            ex.input(input_name, input_ncnn)
+
+            output_ncnn = ncnn.Mat()
+            ex.extract("out0", output_ncnn)
+
+            output_tensors = np.array(output_ncnn)
+            return output_tensors
+
+        input_tensor = await asyncio.get_event_loop().run_in_executor(
+            faceDetectPrepare, lambda: prepare()
+        )
+        return await asyncio.get_event_loop().run_in_executor(
+            faceDetectPredict, lambda: predict(input_tensor)
+        )
+
+
+    async def predictFaceModel(self, input: np.ndarray):
+        def prepare():
+            # no batch? https://github.com/Tencent/ncnn/issues/5990#issuecomment-2832927105
+            im = input.squeeze(0)
+            im = np.ascontiguousarray(im)  # contiguous
+            return im
+
+        def predict(input_tensor):
+            net, input_name = self.faceModel
+            input_ncnn = ncnn.Mat(input_tensor)
+            ex = net.create_extractor()
+            ex.input(input_name, input_ncnn)
+
+            output_ncnn = ncnn.Mat()
+            ex.extract("out0", output_ncnn)
+
+            output_tensors = np.array(output_ncnn)
+            return output_tensors
+
+        input_tensor = await asyncio.get_event_loop().run_in_executor(
+            faceDetectPrepare, lambda: prepare()
+        )
+        return await asyncio.get_event_loop().run_in_executor(
+            faceDetectPredict, lambda: predict(input_tensor)
+        )
--- a/plugins/ncnn/src/nc/text_recognition.py
+++ b/plugins/ncnn/src/nc/text_recognition.py
@@ -0,0 +1,105 @@
+from __future__ import annotations
+
+import asyncio
+
+import numpy as np
+
+import ncnn
+from nc import async_infer
+from predict.text_recognize import TextRecognition
+
+textDetectPrepare, textDetectPredict = async_infer.create_executors("TextDetect")
+textRecognizePrepare, textRecognizePredict = async_infer.create_executors(
+    "TextRecognize"
+)
+
+
+class NCNNTextRecognition(TextRecognition):
+    def downloadModel(self, model: str):
+        model_version = "v1"
+        files = [
+            f"{model}/{model}.ncnn.bin",
+            f"{model}/{model}.ncnn.param",
+        ]
+
+        for f in files:
+            p = self.downloadFile(
+                f"https://github.com/koush/ncnn-models/raw/main/{f}",
+                f"{model_version}/{f}",
+            )
+            if ".bin" in p:
+                binFile = p
+            if ".param" in p:
+                paramFile = p
+
+
+        net = ncnn.Net()
+        net.opt.use_vulkan_compute = True
+        net.opt.use_fp16_packed = False
+        net.opt.use_fp16_storage = False
+        net.opt.use_fp16_arithmetic = False
+
+        net.load_param(paramFile)
+        net.load_model(binFile)
+
+        input_name = net.input_names()[0]
+
+        return [net, input_name]
+
+
+    async def predictDetectModel(self, input: np.ndarray):
+        def prepare():
+            # no batch? https://github.com/Tencent/ncnn/issues/5990#issuecomment-2832927105
+            im = input.squeeze(0)
+            im = np.ascontiguousarray(im)  # contiguous
+            return im
+
+        def predict(input_tensor):
+            net, input_name = self.detectModel
+            input_ncnn = ncnn.Mat(input_tensor)
+            ex = net.create_extractor()
+            ex.input(input_name, input_ncnn)
+
+            output_ncnn = ncnn.Mat()
+            ex.extract("out0", output_ncnn)
+
+            output_tensors = np.array(output_ncnn)
+            output_tensors = output_tensors.transpose((1, 2, 0))
+            # readd a batch dimension
+            output_tensors = np.expand_dims(output_tensors, axis=0)
+            return output_tensors
+
+        input_tensor = await asyncio.get_event_loop().run_in_executor(
+            textDetectPrepare, lambda: prepare()
+        )
+        return await asyncio.get_event_loop().run_in_executor(
+            textDetectPredict, lambda: predict(input_tensor)
+        )
+
+    async def predictTextModel(self, input: np.ndarray):
+        def prepare():
+            # no batch? https://github.com/Tencent/ncnn/issues/5990#issuecomment-2832927105
+            im = input.squeeze(0)
+            im = np.ascontiguousarray(im)  # contiguous
+            return im
+
+        def predict(input_tensor):
+            net, input_name = self.textModel
+            input_ncnn = ncnn.Mat(input_tensor)
+            ex = net.create_extractor()
+            ex.input(input_name, input_ncnn)
+
+            output_ncnn = ncnn.Mat()
+            ex.extract("out0", output_ncnn)
+
+            output_tensors = np.array(output_ncnn)
+            # readd a batch dimension
+            output_tensors = np.expand_dims(output_tensors, axis=0)
+            return output_tensors
+
+        input_tensor = await asyncio.get_event_loop().run_in_executor(
+            textRecognizePrepare, lambda: prepare()
+        )
+        return await asyncio.get_event_loop().run_in_executor(
+            textRecognizePredict, lambda: predict(input_tensor)
+        )
--- a/plugins/objectdetector/package-lock.json
+++ b/plugins/objectdetector/package-lock.json
@@ -1,12 +1,12 @@
 {
   "name": "@scrypted/objectdetector",
-   "version": "0.1.68",
+   "version": "0.1.72",
   "lockfileVersion": 2,
   "requires": true,
   "packages": {
      "": {
         "name": "@scrypted/objectdetector",
-         "version": "0.1.68",
+         "version": "0.1.72",
         "license": "Apache-2.0",
         "dependencies": {
            "@scrypted/common": "file:../../common",
--- a/plugins/objectdetector/package.json
+++ b/plugins/objectdetector/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@scrypted/objectdetector",
-   "version": "0.1.68",
+   "version": "0.1.72",
   "description": "Scrypted Video Analysis Plugin. Installed alongside a detection service like OpenCV or TensorFlow.",
   "author": "Scrypted",
   "license": "Apache-2.0",
--- a/plugins/objectdetector/src/ffmpeg-videoframes.ts
+++ b/plugins/objectdetector/src/ffmpeg-videoframes.ts
@@ -138,7 +138,6 @@ export class FFmpegVideoFrameGenerator extends ScryptedDeviceBase implements Vid

        try {
            reader();
-            const flush = async () => { };

            while (!finished) {
                frameDeferred = new Deferred();
@@ -151,9 +150,7 @@ export class FFmpegVideoFrameGenerator extends ScryptedDeviceBase implements Vid
                    yield {
                        __json_copy_serialize_children: true,
                        timestamp: 0,
-                        queued: 0,
                        image,
-                        flush,
                    };
                }
                finally {
--- a/plugins/objectdetector/src/smart-motionsensor.ts
+++ b/plugins/objectdetector/src/smart-motionsensor.ts
@@ -85,7 +85,8 @@ export class SmartMotionSensor extends ScryptedDeviceBase implements Settings, R

        this.storageSettings.settings.detections.onGet = async () => {
            const objectDetector: ObjectDetector = this.storageSettings.values.objectDetector;
-            const choices = (await objectDetector?.getObjectTypes?.())?.classes || [];
+            const classes = (await objectDetector?.getObjectTypes?.())?.classes || [];
+            const choices = [...new Set(classes)];
            return {
                hide: !objectDetector,
                choices,
--- a/plugins/objectdetector/src/smart-occupancy-sensor.ts
+++ b/plugins/objectdetector/src/smart-occupancy-sensor.ts
@@ -104,7 +104,8 @@ export class SmartOccupancySensor extends ScryptedDeviceBase implements Settings

        this.storageSettings.settings.detections.onGet = async () => {
            const objectDetection: ObjectDetection = this.storageSettings.values.objectDetection;
-            const choices = (await objectDetection?.getDetectionModel())?.classes || [];
+            const classes = (await objectDetection?.getDetectionModel())?.classes || []
+            const choices = [...new Set(classes)];
            return {
                hide: !objectDetection,
                choices,
--- a/plugins/openvino/src/ov/async_infer.py
+++ b/plugins/openvino/src/ov/async_infer.py
@@ -2,6 +2,6 @@ import concurrent.futures


 def create_executors(name: str):
-    prepare = concurrent.futures.ThreadPoolExecutor(1, f"OpenVINO-{name}Prepare")
-    predict = concurrent.futures.ThreadPoolExecutor(1, f"OpenVINO-{name}Predict")
+    prepare = concurrent.futures.ThreadPoolExecutor(1, f"{name}Prepare")
+    predict = concurrent.futures.ThreadPoolExecutor(1, f"{name}Predict")
    return prepare, predict
--- a/plugins/prebuffer-mixin/package-lock.json
+++ b/plugins/prebuffer-mixin/package-lock.json
@@ -1,12 +1,12 @@
 {
   "name": "@scrypted/prebuffer-mixin",
-   "version": "0.10.57",
+   "version": "0.10.59",
   "lockfileVersion": 2,
   "requires": true,
   "packages": {
      "": {
         "name": "@scrypted/prebuffer-mixin",
-         "version": "0.10.57",
+         "version": "0.10.59",
         "license": "Apache-2.0",
         "dependencies": {
            "@scrypted/common": "file:../../common",
--- a/plugins/prebuffer-mixin/package.json
+++ b/plugins/prebuffer-mixin/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@scrypted/prebuffer-mixin",
-   "version": "0.10.57",
+   "version": "0.10.59",
   "description": "Video Stream Rebroadcast, Prebuffer, and Management Plugin for Scrypted.",
   "author": "Scrypted",
   "license": "Apache-2.0",
--- a/plugins/snapshot/package-lock.json
+++ b/plugins/snapshot/package-lock.json
@@ -1,12 +1,12 @@
 {
   "name": "@scrypted/snapshot",
-   "version": "0.2.58",
+   "version": "0.2.59",
   "lockfileVersion": 2,
   "requires": true,
   "packages": {
      "": {
         "name": "@scrypted/snapshot",
-         "version": "0.2.58",
+         "version": "0.2.59",
         "dependencies": {
            "@types/node": "^22.10.2",
            "sharp": "^0.33.5",
--- a/plugins/snapshot/package.json
+++ b/plugins/snapshot/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@scrypted/snapshot",
-   "version": "0.2.58",
+   "version": "0.2.59",
   "description": "Snapshot Plugin for Scrypted",
   "scripts": {
      "scrypted-setup-project": "scrypted-setup-project",
--- a/plugins/snapshot/src/main.ts
+++ b/plugins/snapshot/src/main.ts
@@ -12,6 +12,7 @@ import { ffmpegFilterImage, ffmpegFilterImageBuffer } from './ffmpeg-image-filte
 import { ImageConverter, ImageConverterNativeId } from './image-converter';
 import { ImageReader, ImageReaderNativeId, loadSharp, loadVipsImage } from './image-reader';
 import { ImageWriter, ImageWriterNativeId } from './image-writer';
+import { fixLegacyClipPath, normalizeBox, polygonIntersectsBoundingBox } from '../../objectdetector/src/polygon';

 const { mediaManager, systemManager } = sdk;
 if (os.cpus().find(cpu => cpu.model?.toLowerCase().includes('qemu'))) {
@@ -433,10 +434,11 @@ class SnapshotMixin extends SettingsMixinDeviceBase<Camera> implements Camera {
        if (!this.storageSettings.values.snapshotCropScale?.length)
            return picture;

-        const xmin = Math.min(...this.storageSettings.values.snapshotCropScale.map(([x, y]) => x)) / 100;
-        const ymin = Math.min(...this.storageSettings.values.snapshotCropScale.map(([x, y]) => y)) / 100;
-        const xmax = Math.max(...this.storageSettings.values.snapshotCropScale.map(([x, y]) => x)) / 100;
-        const ymax = Math.max(...this.storageSettings.values.snapshotCropScale.map(([x, y]) => y)) / 100;
+        const clipPath = fixLegacyClipPath(this.storageSettings.values.snapshotCropScale);
+        const xmin = Math.min(...clipPath.map(([x, y]) => x));
+        const ymin = Math.min(...clipPath.map(([x, y]) => y));
+        const xmax = Math.max(...clipPath.map(([x, y]) => x));
+        const ymax = Math.max(...clipPath.map(([x, y]) => y));

        if (loadSharp()) {
            const vips = await loadVipsImage(picture, this.id);
--- a/plugins/webrtc/package-lock.json
+++ b/plugins/webrtc/package-lock.json
@@ -1,12 +1,12 @@
 {
   "name": "@scrypted/webrtc",
-   "version": "0.2.76",
+   "version": "0.2.77",
   "lockfileVersion": 2,
   "requires": true,
   "packages": {
      "": {
         "name": "@scrypted/webrtc",
-         "version": "0.2.76",
+         "version": "0.2.77",
         "dependencies": {
            "@scrypted/common": "file:../../common",
            "@scrypted/sdk": "file:../../sdk",
--- a/plugins/webrtc/package.json
+++ b/plugins/webrtc/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@scrypted/webrtc",
-   "version": "0.2.76",
+   "version": "0.2.78",
   "scripts": {
      "scrypted-setup-project": "scrypted-setup-project",
      "prescrypted-setup-project": "scrypted-package-json",
--- a/plugins/webrtc/src/ffmpeg-to-wrtc.ts
+++ b/plugins/webrtc/src/ffmpeg-to-wrtc.ts
@@ -458,7 +458,13 @@ export function parseOptions(options: RTCSignalingOptions) {
    if (options?.userAgent?.includes('Firefox/'))
        sessionSupportsH264High = true;

-    const transcodeWidth = Math.max(640, Math.min(options?.screen?.width || 960, 1280));
+    // Some devices return a `screen width` value that is not a multiple of 2, which is not allowed for the h264 codec.
+    // Convert to a smaller even value.
+    const screenWidthForTranscodeH264 = !options?.screen?.width 
+    ? 960 
+    : Math.trunc(options?.screen?.width / 2) * 2;
+
+    const transcodeWidth = Math.max(640, Math.min(screenWidthForTranscodeH264, 1280));
    const devicePixelRatio = options?.screen?.devicePixelRatio || 1;
    const width = (options?.screen?.width * devicePixelRatio) || undefined;
    const height = (options?.screen?.height * devicePixelRatio) || undefined;
--- a/plugins/webrtc/src/h265-packetizer.ts
+++ b/plugins/webrtc/src/h265-packetizer.ts
@@ -79,6 +79,16 @@ function getNalType(data: Buffer): number {
    return (data[0] & 0x7E) >> 1;  // 6 bits starting from bit 1
 }

+function isKeyFrame(nalType: number): boolean {
+    // For IDR frames, send codec info first
+    if (nalType === NAL_TYPE_IDR_W_RADL || nalType === NAL_TYPE_IDR_N_LP ||
+        nalType === NAL_TYPE_BLA_W_LP || nalType === NAL_TYPE_BLA_W_RADL ||
+        nalType === NAL_TYPE_BLA_N_LP || nalType === NAL_TYPE_CRA_NUT) {
+     return true;
+    }
+    return false;
+}
+
 // Function to depacketize Aggregation Packets (similar to STAP-A in H.264)
 export function depacketizeAP(data: Buffer) {
    const ret: Buffer[] = [];
@@ -385,7 +395,7 @@ export class H265Repacketizer {
                }
                else {
                    // For IDR frames, send codec info first
-                    if (splitNaluType === NAL_TYPE_IDR_W_RADL || splitNaluType === NAL_TYPE_IDR_N_LP) {
+                    if (isKeyFrame(splitNaluType)) {
                        this.maybeSendAPCodecInfo(first, ret);
                    }

@@ -689,9 +699,7 @@ export class H265Repacketizer {
            }

            // For IDR frames, send codec info first
-            if (nalType === NAL_TYPE_IDR_W_RADL || nalType === NAL_TYPE_IDR_N_LP ||
-                nalType === NAL_TYPE_BLA_W_LP || nalType === NAL_TYPE_BLA_W_RADL ||
-                nalType === NAL_TYPE_BLA_N_LP) {
+            if (isKeyFrame(nalType)) {
                this.maybeSendAPCodecInfo(packet, ret);
            }

--- a/server/package-lock.json
+++ b/server/package-lock.json
@@ -1,29 +1,29 @@
 {
  "name": "@scrypted/server",
-  "version": "0.138.22",
+  "version": "0.138.27",
  "lockfileVersion": 3,
  "requires": true,
  "packages": {
    "": {
      "name": "@scrypted/server",
-      "version": "0.138.22",
+      "version": "0.138.27",
      "hasInstallScript": true,
      "license": "ISC",
      "dependencies": {
        "@scrypted/ffmpeg-static": "^6.1.0-build3",
-        "@scrypted/node-pty": "^1.0.22",
+        "@scrypted/node-pty": "^1.0.24",
        "@scrypted/types": "^0.5.12",
        "adm-zip": "^0.5.16",
        "body-parser": "^2.2.0",
        "cookie-parser": "^1.4.7",
-        "dotenv": "^16.4.7",
+        "dotenv": "^16.5.0",
        "engine.io": "^6.6.4",
        "express": "^5.1.0",
        "follow-redirects": "^1.15.9",
        "http-auth": "^4.2.0",
-        "level": "^9.0.0",
+        "level": "^10.0.0",
        "lodash": "^4.17.21",
-        "mime": "^4.0.7",
+        "mime-types": "^3.0.1",
        "node-dijkstra": "^2.5.0",
        "node-forge": "^1.3.1",
        "node-gyp": "^11.2.0",
@@ -47,7 +47,8 @@
        "@types/follow-redirects": "^1.14.4",
        "@types/http-auth": "^4.1.4",
        "@types/lodash": "^4.17.16",
-        "@types/node": "^22.14.0",
+        "@types/mime-types": "^2.1.4",
+        "@types/node": "^22.15.3",
        "@types/node-dijkstra": "^2.5.6",
        "@types/node-forge": "^1.3.11",
        "@types/semver": "^7.7.0",
@@ -564,12 +565,13 @@
      }
    },
    "node_modules/@scrypted/node-pty": {
-      "version": "1.0.22",
-      "resolved": "https://registry.npmjs.org/@scrypted/node-pty/-/node-pty-1.0.22.tgz",
-      "integrity": "sha512-GXpxrtDkbEG9oFOqJ4kVNT8r0HBzSDzQyVAllAApHTec2NezgKU2wMDK668s0gPW7Q1mvF3g0EV4646cAA0hHg==",
+      "version": "1.0.24",
+      "resolved": "https://registry.npmjs.org/@scrypted/node-pty/-/node-pty-1.0.24.tgz",
+      "integrity": "sha512-UyrsMRsH0hRazVDUeA+oBrIPcoryDhXXD5fVS/z19q4zHube20Tj7xvP1AWte1NGGQ7AnIZiK8EPlQgweXC15g==",
      "hasInstallScript": true,
+      "license": "MIT",
      "dependencies": {
-        "prebuild-install": "npm:@scrypted/prebuild-install@^7.1.8"
+        "prebuild-install": "npm:@scrypted/prebuild-install@^7.1.10"
      }
    },
    "node_modules/@scrypted/types": {
@@ -680,10 +682,17 @@
      "integrity": "sha512-iJt33IQnVRkqeqC7PzBHPTC6fDlRNRW8vjrgqtScAhrmMwe8c4Eo7+fUGTa+XdWrpEgpyKWMYmi2dIwMAYRzPw==",
      "dev": true
    },
+    "node_modules/@types/mime-types": {
+      "version": "2.1.4",
+      "resolved": "https://registry.npmjs.org/@types/mime-types/-/mime-types-2.1.4.tgz",
+      "integrity": "sha512-lfU4b34HOri+kAY5UheuFMWPDOI+OPceBSHZKp69gEyTL/mmJ4cnU6Y/rlme3UL3GyOn6Y42hyIEw0/q8sWx5w==",
+      "dev": true,
+      "license": "MIT"
+    },
    "node_modules/@types/node": {
-      "version": "22.14.0",
-      "resolved": "https://registry.npmjs.org/@types/node/-/node-22.14.0.tgz",
-      "integrity": "sha512-Kmpl+z84ILoG+3T/zQFyAJsU6EPTmOCj8/2+83fSN6djd6I4o7uOuGIH6vq3PrjY5BGitSbFuMN18j3iknubbA==",
+      "version": "22.15.3",
+      "resolved": "https://registry.npmjs.org/@types/node/-/node-22.15.3.tgz",
+      "integrity": "sha512-lX7HFZeHf4QG/J7tBZqrCAXwz9J5RD56Y6MpP0eJkka8p+K0RY/yBTW7CYFJ4VGCclxqOLKmiGP5juQc6MKgcw==",
      "license": "MIT",
      "dependencies": {
        "undici-types": "~6.21.0"
@@ -784,20 +793,20 @@
      }
    },
    "node_modules/abstract-level": {
-      "version": "2.0.2",
-      "resolved": "https://registry.npmjs.org/abstract-level/-/abstract-level-2.0.2.tgz",
-      "integrity": "sha512-pPJixmXk/kTKLB2sSue7o4Uj6TlLD2XfaP2gWZomHVCC6cuUGX/VslQqKG1yZHfXwBb/3lS6oSTMPGzh1P1iig==",
+      "version": "3.1.0",
+      "resolved": "https://registry.npmjs.org/abstract-level/-/abstract-level-3.1.0.tgz",
+      "integrity": "sha512-j2e+TsAxy7Ri+0h7dJqwasymgt0zHBWX4+nMk3XatyuqgHfdstBJ9wsMfbiGwE1O+QovRyPcVAqcViMYdyPaaw==",
      "license": "MIT",
      "dependencies": {
        "buffer": "^6.0.3",
        "is-buffer": "^2.0.5",
-        "level-supports": "^6.0.0",
+        "level-supports": "^6.2.0",
        "level-transcoder": "^1.0.1",
        "maybe-combine-errors": "^1.0.0",
        "module-error": "^1.0.1"
      },
      "engines": {
-        "node": ">=16"
+        "node": ">=18"
      }
    },
    "node_modules/accepts": {
@@ -812,6 +821,27 @@
        "node": ">= 0.6"
      }
    },
+    "node_modules/accepts/node_modules/mime-db": {
+      "version": "1.52.0",
+      "resolved": "https://registry.npmjs.org/mime-db/-/mime-db-1.52.0.tgz",
+      "integrity": "sha512-sPU4uV7dYlvtWJxwwxHD0PuihVNiE7TyAbQ5SWxDCB9mUYvOgroQOwYQQOKPJ8CIbE+1ETVlOoK1UC2nU3gYvg==",
+      "license": "MIT",
+      "engines": {
+        "node": ">= 0.6"
+      }
+    },
+    "node_modules/accepts/node_modules/mime-types": {
+      "version": "2.1.35",
+      "resolved": "https://registry.npmjs.org/mime-types/-/mime-types-2.1.35.tgz",
+      "integrity": "sha512-ZDY+bPm5zTTF+YpCrAU9nK0UgICYPT0QtT1NZWFv4s++TNkcgVaT0g6+4R2uI4MjQjzysHB1zxuWL50hzaeXiw==",
+      "license": "MIT",
+      "dependencies": {
+        "mime-db": "1.52.0"
+      },
+      "engines": {
+        "node": ">= 0.6"
+      }
+    },
    "node_modules/adm-zip": {
      "version": "0.5.16",
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      "version": "2.2.0",
      "resolved": "https://registry.npmjs.org/tar-stream/-/tar-stream-2.2.0.tgz",
      "integrity": "sha512-ujeqbceABgwMZxEJnk2HDY2DlnUZ+9oEcb1KzTVfYHio0UE6dG71n60d8D2I4qNvleWrrXpmjpt7vZeF1LnMZQ==",
+      "license": "MIT",
      "dependencies": {
        "bl": "^4.0.3",
        "end-of-stream": "^1.4.1",
@@ -3359,6 +3356,7 @@
      "version": "0.6.0",
      "resolved": "https://registry.npmjs.org/tunnel-agent/-/tunnel-agent-0.6.0.tgz",
      "integrity": "sha512-McnNiV1l8RYeY8tBgEpuodCC1mLUdbSN+CYBL7kJsJNInOP8UjDDEwdk6Mw60vdLLrr5NHKZhMAOSrR2NZuQ+w==",
+      "license": "Apache-2.0",
      "dependencies": {
        "safe-buffer": "^5.0.1"
      },
@@ -3380,27 +3378,6 @@
        "node": ">= 0.6"
      }
    },
-    "node_modules/type-is/node_modules/mime-db": {
-      "version": "1.54.0",
-      "resolved": "https://registry.npmjs.org/mime-db/-/mime-db-1.54.0.tgz",
-      "integrity": "sha512-aU5EJuIN2WDemCcAp2vFBfp/m4EAhWJnUNSSw0ixs7/kXbd6Pg64EmwJkNdFhB8aWt1sH2CTXrLxo/iAGV3oPQ==",
-      "license": "MIT",
-      "engines": {
-        "node": ">= 0.6"
-      }
-    },
-    "node_modules/type-is/node_modules/mime-types": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/mime-types/-/mime-types-3.0.1.tgz",
-      "integrity": "sha512-xRc4oEhT6eaBpU1XF7AjpOFD+xQmXNB5OVKwp4tqCuBpHLS/ZbBDrc07mYTDqVMg6PfxUjjNp85O6Cd2Z/5HWA==",
-      "license": "MIT",
-      "dependencies": {
-        "mime-db": "^1.54.0"
-      },
-      "engines": {
-        "node": ">= 0.6"
-      }
-    },
    "node_modules/typescript": {
      "version": "5.8.3",
      "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.8.3.tgz",
@@ -3461,7 +3438,8 @@
    "node_modules/util-deprecate": {
      "version": "1.0.2",
      "resolved": "https://registry.npmjs.org/util-deprecate/-/util-deprecate-1.0.2.tgz",
-      "integrity": "sha512-EPD5q1uXyFxJpCrLnCc1nHnq3gOa6DZBocAIiI2TaSCA7VCJ1UJDMagCzIkXNsUYfD1daK//LTEQ8xiIbrHtcw=="
+      "integrity": "sha512-EPD5q1uXyFxJpCrLnCc1nHnq3gOa6DZBocAIiI2TaSCA7VCJ1UJDMagCzIkXNsUYfD1daK//LTEQ8xiIbrHtcw==",
+      "license": "MIT"
    },
    "node_modules/uuid": {
      "version": "8.3.2",
--- a/server/package.json
+++ b/server/package.json
@@ -1,22 +1,22 @@
 {
  "name": "@scrypted/server",
-  "version": "0.138.23",
+  "version": "0.138.27",
  "description": "",
  "dependencies": {
    "@scrypted/ffmpeg-static": "^6.1.0-build3",
-    "@scrypted/node-pty": "^1.0.22",
+    "@scrypted/node-pty": "^1.0.24",
    "@scrypted/types": "^0.5.12",
    "adm-zip": "^0.5.16",
    "body-parser": "^2.2.0",
    "cookie-parser": "^1.4.7",
-    "dotenv": "^16.4.7",
+    "dotenv": "^16.5.0",
    "engine.io": "^6.6.4",
    "express": "^5.1.0",
    "follow-redirects": "^1.15.9",
    "http-auth": "^4.2.0",
-    "level": "^9.0.0",
+    "level": "^10.0.0",
    "lodash": "^4.17.21",
-    "mime": "^4.0.7",
+    "mime-types": "^3.0.1",
    "node-dijkstra": "^2.5.0",
    "node-forge": "^1.3.1",
    "node-gyp": "^11.2.0",
@@ -37,7 +37,8 @@
    "@types/follow-redirects": "^1.14.4",
    "@types/http-auth": "^4.1.4",
    "@types/lodash": "^4.17.16",
-    "@types/node": "^22.14.0",
+    "@types/mime-types": "^2.1.4",
+    "@types/node": "^22.15.3",
    "@types/node-dijkstra": "^2.5.6",
    "@types/node-forge": "^1.3.11",
    "@types/semver": "^7.7.0",
--- a/server/src/plugin/media.ts
+++ b/server/src/plugin/media.ts
@@ -1,7 +1,7 @@
 import { BufferConverter, DeviceManager, FFmpegInput, MediaConverter, MediaManager, MediaObjectCreateOptions, MediaObject as MediaObjectInterface, MediaStreamUrl, ScryptedDevice, ScryptedInterface, ScryptedInterfaceProperty, ScryptedMimeTypes, ScryptedNativeId, SystemDeviceState, SystemManager } from "@scrypted/types";
 import fs from 'fs';
 import https from 'https';
-import mime from 'mime';
+import mime from 'mime-types';
 import Graph from 'node-dijkstra';
 import path from 'path';
 import MimeType from 'whatwg-mimetype';
@@ -77,8 +77,8 @@ export abstract class MediaManagerBase implements MediaManager {
                }

                const ab = await fs.promises.readFile(filename);
-                const mt = mime.getType(filename);
-                const mo = this.createMediaObject(ab, mt);
+                const mt = mime.lookup(filename);
+                const mo = this.createMediaObject(ab, mt || 'application/octet-stream');
                return mo;
            }
        });
@@ -238,8 +238,8 @@ export abstract class MediaManagerBase implements MediaManager {

    ensureMediaObjectRemote(mediaObject: string | MediaObjectInterface): MediaObjectRemote {
        if (typeof mediaObject === 'string') {
-            const mt = mime.getType(mediaObject);
-            return this.createMediaObjectRemote(mediaObject, mt);
+            const mt = mime.lookup(mediaObject);
+            return this.createMediaObjectRemote(mediaObject, mt || 'application/octet-stream');
        }
        return mediaObject as MediaObjectRemote;
    }
--- a/server/src/scrypted-cluster-main.ts
+++ b/server/src/scrypted-cluster-main.ts
@@ -172,6 +172,9 @@ function createClusterForkParam(mainFilename: string, clusterId: string, cluster
        });
        let getRemote: any;
        let ping: any;
+        const timeout = setTimeout(() => {
+            threadPeer.kill('cluster fork timeout');
+        }, 10000);
        try {
            const initializeCluster: InitializeCluster = await threadPeer.getParam('initializeCluster');
            await initializeCluster({ clusterId, clusterSecret, clusterWorkerId });
@@ -189,9 +192,6 @@ function createClusterForkParam(mainFilename: string, clusterId: string, cluster
            }
        }

-        const timeout = setTimeout(() => {
-            threadPeer.kill('cluster fork timeout');
-        }, 10000);
        const clusterGetRemote = (...args: any[]) => {
            clearTimeout(timeout);
            return {
@@ -252,6 +252,7 @@ export function startClusterClient(mainFilename: string, options?: {
            }
            catch (e) {
                console.warn('Cluster server not available.', host, port, e);
+                rawSocket.destroy();
                continue;
            }

@@ -264,6 +265,7 @@ export function startClusterClient(mainFilename: string, options?: {
                await once(socket, 'secureConnect');
            }
            catch (e) {
+                socket.destroy();
                console.warn('Cluster server tls failed.', host, port, e);
                continue;
            }
Author	SHA1	Message	Date
Koushik Dutta	ab00ade016	install: bump node	2025-05-07 09:32:35 -07:00
Koushik Dutta	6cfc3db05c	server: fix package lock	2025-04-29 11:43:02 -07:00
Koushik Dutta	95aa58ce38	postbeta	2025-04-28 20:30:02 -07:00
Koushik Dutta	0d88b4746b	ncnn: publish face/text	2025-04-28 12:54:15 -07:00
Koushik Dutta	8c4beeb3a0	Merge branch 'main' of github.com:koush/scrypted	2025-04-28 12:09:32 -07:00
Koushik Dutta	4846cfaddf	ncnn: face recognition support	2025-04-28 12:09:26 -07:00
Koushik Dutta	4e14f7fd6f	common: rtsp server basic auth fix	2025-04-28 12:09:13 -07:00
Roman Sokolov	266be72606	Fixed an issue for some devices. They send screen width as not even value. (#1797 )	2025-04-27 14:04:00 -07:00
Koushik Dutta	6a1970c075	ncnn: update model list	2025-04-27 10:15:54 -07:00
Koushik Dutta	0575d98424	ncnn: publish	2025-04-26 21:31:06 -07:00
Koushik Dutta	cdf42fc1a2	rebroadcast: fix url escaping for basic auth	2025-04-24 19:23:23 -07:00
Koushik Dutta	fc1fabc49e	common/webrtc: expand h265 keyframe types	2025-04-22 22:20:24 -07:00
Koushik Dutta	4e08daecb2	Merge branch 'main' of github.com:koush/scrypted	2025-04-21 09:02:30 -07:00
Koushik Dutta	58b27805ba	common: fix sdp default rtpmap props	2025-04-21 09:02:25 -07:00
Koushik Dutta	b37c6bbd06	postbeta	2025-04-19 12:07:22 -07:00
Koushik Dutta	8eca02d819	server: move cluster fork timeout to prior to fork	2025-04-19 12:07:07 -07:00
Koushik Dutta	0efdb34114	postbeta	2025-04-19 10:53:40 -07:00
Koushik Dutta	1a25100de2	server: replace mime with mime-type which isnt esmodule	2025-04-19 10:53:30 -07:00
Koushik Dutta	51e0a8836d	videoanalysis: fix occupancy sensor picking	2025-04-19 08:11:43 -07:00
Koushik Dutta	562d0839b7	videoanalysis: fix smart sensor picking	2025-04-19 08:10:37 -07:00
Koushik Dutta	e3df6accea	videoanalysis: make sure duplciate nvr vs camera detections dont cause ui weirdness	2025-04-18 12:43:26 -07:00
Koushik Dutta	03d159a89c	server: remove debug code	2025-04-18 11:51:00 -07:00
Koushik Dutta	4ead4726a9	postbeta	2025-04-18 11:49:45 -07:00
Koushik Dutta	b06ef623b3	server: fix potential socket leak if cluster server is down	2025-04-18 11:49:36 -07:00
Koushik Dutta	8edb157e2a	snapshot: fix crop and scale	2025-04-17 16:03:03 -07:00
Koushik Dutta	155a1ceb38	rpc: publish	2025-04-15 15:10:30 -07:00
Koushik Dutta	1cb6212fc6	webrtc: implement default clocks for assigned payload types	2025-04-15 07:53:28 -07:00