for ResNet50, apply imagenet mean pixel on BGR instead of RGB

see https://github.com/fchollet/keras/pull/4027

demos/src/resnet50.js

@@ -185,9 +185,9 @@ export const ResNet50 = Vue.extend({
       // see https://github.com/fchollet/keras/blob/master/keras/applications/imagenet_utils.py
       let dataTensor = ndarray(new Float32Array(data), [width, height, 4])
       let dataProcessedTensor = ndarray(new Float32Array(width * height * 3), [width, height, 3])
-      ops.subseq(dataTensor.pick(null, null, 0), 103.939)
+      ops.subseq(dataTensor.pick(null, null, 2), 103.939)
       ops.subseq(dataTensor.pick(null, null, 1), 116.779)
-      ops.subseq(dataTensor.pick(null, null, 2), 123.68)
+      ops.subseq(dataTensor.pick(null, null, 0), 123.68)
       ops.assign(dataProcessedTensor.pick(null, null, 0), dataTensor.pick(null, null, 2))
       ops.assign(dataProcessedTensor.pick(null, null, 1), dataTensor.pick(null, null, 1))
       ops.assign(dataProcessedTensor.pick(null, null, 2), dataTensor.pick(null, null, 0))

package.json

@@ -61,7 +61,7 @@
     "postcss-loader": "^0.13.0",
     "precss": "^1.4.0",
     "raw-loader": "^0.5.1",
-    "standard": "^8.3.0",
+    "standard": "^8.4.0",
     "style-loader": "^0.13.1",
     "webpack": "^2.1.0-beta.25"
   },