Address typos in tfjs-models documentation string (#1424)

Author: gaikwadrahul8

face-detection/demos/shared/params.js

@@ -63,7 +63,7 @@ export async function createDetector() {
   }
 }
 /**
- * This map descripes tunable flags and theior corresponding types.
+ * This map describes tunable flags and theior corresponding types.
  *
  * The flags (keys) in the map satisfy the following two conditions:
  * - Is tunable. For example, `IS_BROWSER` and `IS_CHROME` is not tunable,

face-landmarks-detection/demos/shared/util.js

@@ -40,7 +40,7 @@ export function isMobile() {
 async function resetBackend(backendName) {
   const ENGINE = tf.engine();
   if (!(backendName in ENGINE.registryFactory)) {
-    throw new Error(`${backendName} backend is not registed.`);
+    throw new Error(`${backendName} backend is not registered.`);
   }
 
   if (backendName in ENGINE.registry) {

gpt2/src/index.ts

@@ -19,7 +19,7 @@ import * as tf from '@tensorflow/tfjs-core';
 import {GPT2} from './gpt2';
 export {GPT2} from './gpt2';
 
-// Note that while `tfjs-core` is availble here, we shouldn't import any backends.
+// Note that while `tfjs-core` is available here, we shouldn't import any backends.
 // Let the user choose which backends they want in their bundle.
 tf; // Prevent it from complaining about unused variables
 

hand-pose-detection/demos/shared/params.js

@@ -35,7 +35,7 @@ export const MEDIAPIPE_HANDS_CONFIG = {
   render3D: true
 };
 /**
- * This map descripes tunable flags and theior corresponding types.
+ * This map describes tunable flags and theior corresponding types.
  *
  * The flags (keys) in the map satisfy the following two conditions:
  * - Is tunable. For example, `IS_BROWSER` and `IS_CHROME` is not tunable,

hand-pose-detection/demos/shared/util.js

@@ -37,7 +37,7 @@ export function isMobile() {
 async function resetBackend(backendName) {
   const ENGINE = tf.engine();
   if (!(backendName in ENGINE.registryFactory)) {
-    throw new Error(`${backendName} backend is not registed.`);
+    throw new Error(`${backendName} backend is not registered.`);
   }
 
   if (backendName in ENGINE.registry) {

model-playground/README.md

@@ -2,7 +2,7 @@
 
 (TODO)
 
-## Developmenet
+## Development
 
 ### Development server
 

pose-detection/demos/live_video/src/params.js

@@ -49,7 +49,7 @@ export const MOVENET_CONFIG = {
   enableTracking: false
 };
 /**
- * This map descripes tunable flags and theior corresponding types.
+ * This map describes tunable flags and theior corresponding types.
  *
  * The flags (keys) in the map satisfy the following two conditions:
  * - Is tunable. For example, `IS_BROWSER` and `IS_CHROME` is not tunable,

pose-detection/demos/upload_video/src/params.js

@@ -39,7 +39,7 @@ export const MOVENET_CONFIG = {
   scoreThreshold: 0.3
 };
 /**
- * This map descripes tunable flags and theior corresponding types.
+ * This map describes tunable flags and theior corresponding types.
  *
  * The flags (keys) in the map satisfy the following two conditions:
  * - Is tunable. For example, `IS_BROWSER` and `IS_CHROME` is not tunable,

pose-detection/src/blazepose_tfjs/constants.ts

@@ -165,7 +165,7 @@ export const BLAZEPOSE_WORLD_LANDMARKS_SMOOTHING_CONFIG_ACTUAL = {
     // landmark velocity EMA filter.
     minAllowedObjectScale: 1e-6,
     disableValueScaling:
-        true  // As world landmarks are predicted in real world 3D coordintates
+        true  // As world landmarks are predicted in real world 3D coordinates
     // in meters (rather than in pixels of input image) prediction
     // scale does not depend on the pose size in the image.
   }

pose-detection/src/blazepose_tfjs/detector.ts

@@ -384,7 +384,7 @@ class BlazePoseTfjsDetector implements PoseDetector {
       rotationVectorTargetAngleDegree: 90
     });
 
-    // Expands pose rect with marging used during training.
+    // Expands pose rect with margin used during training.
     // PoseDetectionToRoi: RectTransformationCalculation.
     const roi = transformNormalizedRect(
         rawRoi, imageSize,
@@ -644,7 +644,7 @@ class BlazePoseTfjsDetector implements PoseDetector {
       rotationVectorTargetAngleDegree: 90
     });
 
-    // Expands pose rect with marging used during training.
+    // Expands pose rect with margin used during training.
     // PoseLandmarksToRoi: RectTransformationCalculator.
     const roi = transformNormalizedRect(
         rawRoi, imageSize,

pose-detection/src/posenet/types.ts

@@ -24,7 +24,7 @@ export type MobileNetMultiplier = 0.50|0.75|1.0;
 /**
  * Additional PoseNet model loading config.
  *
- * `architecture`: PoseNetArchitecture. It determines wich PoseNet architecture
+ * `architecture`: PoseNetArchitecture. It determines which PoseNet architecture
  * to load. The supported architectures are: MobileNetV1 and ResNet.
  *
  * `outputStride`: Specifies the output stride of the PoseNet model.