Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Added image names and timer #5

Merged
merged 1 commit into from
Apr 10, 2021
Merged

Added image names and timer #5

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
28 changes: 24 additions & 4 deletions wild_sight/web/src/pages/Demo.vue
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -16,7 +16,7 @@
</div>
<div class="row mt-5">
<div class="col-xs-6 col-xs-offset-3">
<input name="file" v-if="isModelReady" type="file" accept="image/*" @change="uploadImage($event)" id="file-input">
<input name="file" v-if="isModelReady" type="file" multiple accept="image/*" @change="uploadImage($event)" id="file-input">
<canvas ref="canvas" class="mt-5 pb-5"></canvas>
</div>
</div>
Expand Down Expand Up @@ -59,7 +59,9 @@ export default {
resultWidth: 0,
resultHeight: 0,
maxCanvasHeight: 800,
maxCanvasWidth: 1200
maxCanvasWidth: 1200,
filenames: [],
time: 0
}
},
methods: {
Expand All @@ -71,9 +73,12 @@ export default {
// iterate through input files
for (let fl of event.target.files) {

this.filenames.push( fl.name );

let reader = new FileReader();
reader.onload = e => {
let img = document.createElement('img');

img.src = e.target.result;
img.onload = () => {
let aspectRatio = img.width / img.height
Expand All @@ -89,12 +94,14 @@ export default {
this.imgWidth = img.width
this.imgHeight = img.height
}

console.log(this.imgWidth, this.imgHeight, aspectRatio)
this.predict(img)
};
}
reader.readAsDataURL(fl);
}

},

async initializeBackend() {
Expand All @@ -116,13 +123,23 @@ export default {
},

async predict(imgElement){
//console.log(imgElement)
const img = tf.browser.fromPixels(imgElement).resizeBilinear([512, 512]).toFloat().expandDims(0).transpose([0, 3, 1, 2])

const mean = tf.tensor([0.485, 0.456, 0.406]).expandDims(0).expandDims(-1).expandDims(-1).mul(255.0)
const std = tf.tensor([0.229, 0.224, 0.225]).expandDims(0).expandDims(-1).expandDims(-1).mul(255.0)

const normalized = img.sub(mean).div(std)

//timing variable
var start = new Date();
var predictions = await model.executeAsync(normalized)
//timing variable
var end = new Date();
var difference = new Date();
difference.setTime(end.getTime() - start.getTime());
this.time += difference.getMilliseconds();

const regressions = predictions.slice([0, 0], [-1, 4])
const class_logits = predictions.slice([0, 4], [-1, -1])
const [classes, bboxes, confidences] = await this.decoder.get_boxes(class_logits, regressions)
Expand Down Expand Up @@ -184,8 +201,8 @@ export default {
}
if (this.mbx < bboxes.shape[0]) {this.mbx = bboxes.shape[0];}

//Input image identifier
this.csv += this.inm
//Add image name to csv
this.csv += this.filenames[this.inm];

//add confidence and bounding box data for each box
for (i = 0; i < bboxes.shape[0]; i++){
Expand All @@ -205,6 +222,9 @@ export default {

},
downloadResults () {
// print average processing time to console
console.log('Average processing time: ' + String(this.time/this.inm) + ' milliseconds' )

var out = this.header + "\n" + this.csv

const anchor = document.createElement('a');
Expand Down