tensorflow-lite: add dependencies and readme

plugins/tensorflow-lite/README.md

@@ -1,15 +1,3 @@
-# @scrypted/tensorflow-lite
+# Object Detection Plugin for Scrypted
 
-## npm commands
- * npm run scrypted-webpack
- * npm run scrypted-deploy <ipaddress>
- * npm run scrypted-debug <ipaddress>
-
-## scrypted distribution via npm
- 1. Ensure package.json is set up properly for publishing on npm.
- 2. npm publish
-
-## Visual Studio Code configuration
-
-* If using a remote server, edit [.vscode/settings.json](blob/master/.vscode/settings.json) to specify the IP Address of the Scrypted server.
-* Launch Scrypted Debugger from the launch menu.
+This plugin adds object detection capabilities to any camera in Scrypted. Having a fast GPU and CPU is highly recommended. Edge TPU (Coral.ai) is also supported.

plugins/tensorflow-lite/package-lock.json

@@ -1,12 +1,12 @@
 {
    "name": "@scrypted/tensorflow-lite",
-   "version": "0.0.37",
+   "version": "0.0.38",
    "lockfileVersion": 2,
    "requires": true,
    "packages": {
       "": {
          "name": "@scrypted/tensorflow-lite",
-         "version": "0.0.37",
+         "version": "0.0.38",
          "hasInstallScript": true,
          "devDependencies": {
             "@scrypted/sdk": "file:../../sdk"

plugins/tensorflow-lite/package.json

@@ -30,6 +30,9 @@
    },
    "scrypted": {
       "name": "TensorFlow Lite (and Coral) Object Detection",
+      "pluginDependencies": [
+         "@scrypted/objectdetector"
+      ],
       "runtime": "python",
       "type": "API",
       "interfaces": [
@@ -39,5 +42,5 @@
    "devDependencies": {
       "@scrypted/sdk": "file:../../sdk"
    },
-   "version": "0.0.37"
+   "version": "0.0.38"
 }