I have converted a keras model to tensorflow json format and saved it locally in my computer. I am trying to load that json model in a javascript code using the below comman
You could use insecure chrome instance:
C:\Program Files (x86)\Google\Chrome\Application>chrome.exe --disable-web-security --disable-gpu --user-data-dir=C:/Temp
Than you could add this script to redefine fetch function
async function fetch(url) {
return new Promise(function(resolve, reject) {
var xhr = new XMLHttpRequest
xhr.onload = function() {
resolve(new Response(xhr.responseText, {status: 200}))
}
xhr.onerror = function() {
reject(new TypeError('Local request failed'))
}
xhr.open('GET', url)
xhr.send(null)
})
}
After that be shure that you use the right model loader my comment about loader issue
BUT your weights will be incorrect - as I understand there are some encoding problems.