Tensorflow JS and Yolo tiny optimization on IOS
up vote
0
down vote
favorite
We are using tfjs yolo tiny for image detection. THe offiical yolo model link is https://modeldepot.github.io/tfjs-yolo-tiny-demo/
We have integrated this with an web application where on page load we are downloading the model and later the user scan the image via the webcam and if its a valid image then they will go to next page.
The issue we are facing is mainly on the IOS devices. The model trained is around 10mb and when we scan the object on any IOS device the browser will get freezed and becomes unresponsive.
Is there any optimization that can done either on TFJS or on the model to increase the performance and run smoothly on the ios device?
Also are there any other model that is light weight which can be used with tfjs and works smoothly on iphone?
tensorflow tensorflow.js tensorflowjs-converter
asked Nov 22 at 14:42
Srinivas Ramakrishna
631518
add a comment |
up vote
0
down vote
favorite
We are using tfjs yolo tiny for image detection. THe offiical yolo model link is https://modeldepot.github.io/tfjs-yolo-tiny-demo/
We have integrated this with an web application where on page load we are downloading the model and later the user scan the image via the webcam and if its a valid image then they will go to next page.
The issue we are facing is mainly on the IOS devices. The model trained is around 10mb and when we scan the object on any IOS device the browser will get freezed and becomes unresponsive.
Is there any optimization that can done either on TFJS or on the model to increase the performance and run smoothly on the ios device?
Also are there any other model that is light weight which can be used with tfjs and works smoothly on iphone?
tensorflow tensorflow.js tensorflowjs-converter
asked Nov 22 at 14:42
Srinivas Ramakrishna
631518
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
We are using tfjs yolo tiny for image detection. THe offiical yolo model link is https://modeldepot.github.io/tfjs-yolo-tiny-demo/
We have integrated this with an web application where on page load we are downloading the model and later the user scan the image via the webcam and if its a valid image then they will go to next page.
The issue we are facing is mainly on the IOS devices. The model trained is around 10mb and when we scan the object on any IOS device the browser will get freezed and becomes unresponsive.
Is there any optimization that can done either on TFJS or on the model to increase the performance and run smoothly on the ios device?
Also are there any other model that is light weight which can be used with tfjs and works smoothly on iphone?
tensorflow tensorflow.js tensorflowjs-converter
asked Nov 22 at 14:42
Srinivas Ramakrishna
631518
We are using tfjs yolo tiny for image detection. THe offiical yolo model link is https://modeldepot.github.io/tfjs-yolo-tiny-demo/
We have integrated this with an web application where on page load we are downloading the model and later the user scan the image via the webcam and if its a valid image then they will go to next page.
The issue we are facing is mainly on the IOS devices. The model trained is around 10mb and when we scan the object on any IOS device the browser will get freezed and becomes unresponsive.
Is there any optimization that can done either on TFJS or on the model to increase the performance and run smoothly on the ios device?
Also are there any other model that is light weight which can be used with tfjs and works smoothly on iphone?
tensorflow tensorflow.js tensorflowjs-converter
tensorflow tensorflow.js tensorflowjs-converter
asked Nov 22 at 14:42
Srinivas Ramakrishna
631518
asked Nov 22 at 14:42
Srinivas Ramakrishna
631518
asked Nov 22 at 14:42
Srinivas Ramakrishna
631518
asked Nov 22 at 14:42
Srinivas Ramakrishna
631518
asked Nov 22 at 14:42
Srinivas Ramakrishna
631518
631518
add a comment |
add a comment |
active
oldest
votes
Your Answer
StackExchange.ifUsing("editor", function () {
StackExchange.using("externalEditor", function () {
StackExchange.using("snippets", function () {
StackExchange.snippets.init();
});
});
}, "code-snippets");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "1"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53433321%2ftensorflow-js-and-yolo-tiny-optimization-on-ios%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
active
oldest
votes
active
oldest
votes
active
oldest
votes
active
oldest
votes
Thanks for contributing an answer to Stack Overflow!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Some of your past answers have not been well-received, and you're in danger of being blocked from answering.
Please pay close attention to the following guidance:
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53433321%2ftensorflow-js-and-yolo-tiny-optimization-on-ios%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
