update lint rules

.eslintrc.json

@@ -26,6 +26,11 @@
   ],
   "ignorePatterns": [ "dist", "assets", "media", "models", "node_modules" ],
   "rules": {
+    "@typescript-eslint/ban-ts-comment": "off",
+    "@typescript-eslint/ban-types": "off",
+    "@typescript-eslint/explicit-module-boundary-types": "off",
+    "@typescript-eslint/no-explicit-any": "off",
+    "@typescript-eslint/no-var-requires": "off",
     "camelcase": "off",
     "dot-notation": "off",
     "func-names": "off",
@@ -33,8 +38,9 @@
     "import/extensions": "off",
     "import/no-absolute-path": "off",
     "import/no-extraneous-dependencies": "off",
-    "import/prefer-default-export": "off",
     "import/no-unresolved": "off",
+    "import/prefer-default-export": "off",
+    "lines-between-class-members": "off",
     "max-len": [1, 275, 3],
     "newline-per-chained-call": "off",
     "no-async-promise-executor": "off",
@@ -51,13 +57,10 @@
     "no-restricted-syntax": "off",
     "no-return-assign": "off",
     "no-underscore-dangle": "off",
+    "node/no-missing-import": ["error", { "tryExtensions": [".js", ".json", ".ts"] }],
     "node/no-unpublished-import": "off",
     "node/no-unpublished-require": "off",
     "node/no-unsupported-features/es-syntax": "off",
-    "node/no-missing-import": ["error", {
-      "allowModules": [],
-      "tryExtensions": [".js", ".json", ".ts"]
-    }],
     "node/shebang": "off",
     "object-curly-newline": "off",
     "prefer-destructuring": "off",
@@ -65,11 +68,6 @@
     "promise/always-return": "off",
     "promise/catch-or-return": "off",
     "promise/no-nesting": "off",
-    "radix": "off",
-    "lines-between-class-members": "off",
-    "@typescript-eslint/no-var-requires": "off",
-    "@typescript-eslint/ban-ts-comment": "off",
-    "@typescript-eslint/explicit-module-boundary-types": "off",
-    "@typescript-eslint/no-explicit-any": "off"
+    "radix": "off"
   }
 }

src/handpose/handdetector.ts

@@ -7,7 +7,7 @@ export class HandDetector {
   anchorsTensor: any;
   inputSizeTensor: any;
   doubleInputSizeTensor: any;
-  
+
   constructor(model, inputSize, anchorsAnnotated) {
     this.model = model;
     this.anchors = anchorsAnnotated.map((anchor) => [anchor.x_center, anchor.y_center]);
@@ -49,7 +49,7 @@ export class HandDetector {
 
     scoresT.dispose();
     filteredT.dispose();
-    const hands: Array<{ box: any, palmLandmarks: any, confidence: number }>  = [];
+    const hands: Array<{ box: any, palmLandmarks: any, confidence: number }> = [];
     for (const index of filtered) {
       if (scores[index] >= config.hand.minConfidence) {
         const matchingBox = tf.slice(boxes, [index, 0], [1, -1]);
@@ -70,7 +70,7 @@ export class HandDetector {
     const image = tf.tidy(() => input.resizeBilinear([config.hand.inputSize, config.hand.inputSize]).div(127.5).sub(1));
     const predictions = await this.getBoxes(image, config);
     image.dispose();
-    const hands: Array<{}>  = [];
+    const hands: Array<{}> = [];
     if (!predictions || predictions.length === 0) return hands;
     for (const prediction of predictions) {
       const boxes = prediction.box.dataSync();