Normalise the input data

This commit is contained in:
Starbeamrainbowlabs 2020-12-15 18:40:01 +00:00
parent 00075b1823
commit 926a82bebf
Signed by: sbrl
GPG key ID: 1BE5172E637709C2
2 changed files with 11 additions and 7 deletions

View file

@ -30,10 +30,14 @@ class DataPreprocessor {
let filenames = await fs.promises.readdir(dirpath);
for(let filename of filenames) {
let imagetensor = tf.node.decodeImage(
await fs.promises.readFile(path.join(dirpath, filename)),
let imagebin = await fs.promises.readFile(path.join(dirpath, filename));
let imagetensor = tf.tidy(() => {
// Normalise the data to be 0 - 1
return tf.node.decodeImage(
imagebin,
3 // channels
);
).cast("float32").div(255);
});
if(imagetensor.shape[0] == 256
&& imagetensor.shape[1] == 256
&& imagetensor.shape[0] == 3)

View file

@ -13,7 +13,7 @@ export default function(cats_count, image_size, use_crossentropy = false) {
kernelSize: 5,
filters: 3,
strides: 1,
activation: "relu"
activation: "tanh"
}));
if(image_size > 32) {
model.add(tf.layers.conv2d({
@ -22,7 +22,7 @@ export default function(cats_count, image_size, use_crossentropy = false) {
kernelSize: 5,
filters: 3,
strides: 2,
activation: "relu"
activation: "tanh"
}));
model.add(tf.layers.conv2d({
name: "conv2d_3",
@ -30,7 +30,7 @@ export default function(cats_count, image_size, use_crossentropy = false) {
kernelSize: 5,
filters: 3,
strides: 2,
activation: "relu"
activation: "tanh"
}));
}