diff --git a/server.js b/server.js
index 5582c9b..be85362 100644
--- a/server.js
+++ b/server.js
@@ -3,12 +3,37 @@ const tf = require('@tensorflow/tfjs-node');
 const bodyPix = require('@tensorflow-models/body-pix');
 const {decodeJpeg} = require('./decode_image');
 
+/*
+ * outputStride: Specifies the output stride of the BodyPix model.
+ * The smaller the value, the larger the output resolution, and more accurate
+ * the model at the cost of speed. Set this to a larger value to increase speed
+ * at the cost of accuracy. Stride 32 is supported for ResNet and
+ * stride 8,16,32 are supported for various MobileNetV1 models.
+ */
+
+/*
+ * multiplier: An optional number with values: 1.01, 1.0, 0.75, or
+ * 0.50. The value is used only by MobileNet architecture. It is the float
+ * multiplier for the depth (number of channels) for all convolution ops.
+ * The larger the value, the larger the size of the layers, and more accurate
+ * the model at the cost of speed. Set this to a smaller value to increase speed
+ * at the cost of accuracy.
+ */
+
+/*
+ * quantBytes: An optional number with values: 1, 2, or 4.  This parameter
+ * affects weight quantization in the models. The available options are
+ * 1 byte, 2 bytes, and 4 bytes. The higher the value, the larger the model size
+ * and thus the longer the loading time, the lower the value, the shorter the
+ * loading time but lower the accuracy.
+ */
+
 async function main() {
 	const net = await bodyPix.load({
-		architecture: 'MobileNetV1',
-		outputStride: 16,
-		multiplier: 0.5,
-		quantBytes: 2
+		architecture: 'ResNet50',
+		outputStride: 16, 
+		multiplier: 1.0,
+		quantBytes: 4
 	});
 	const sock = new zmq.Reply;