Cannot load model from file

[kavinplays]

I am trying to load a model from local directory using const model = await nsfwjs.load('file://./model/'); and it gives me error saying TypeError: Only HTTP(S) protocols are supported. What can I do?

[Stefan-Kosker]

just use path in load. In your case relative path:

const model = await nsfwjs.load('./model/');

[kavinplays]

I tried that but it gives another error TypeError: Only absolute URLs are supported

[GantMan]

@kavinplays - please create a small repo that reproduces this issue, and I'll find a fix.

[intbw]

Dear @GantMan, would you kindly share for community full repo of your nsfwjs.com, because not all users here have advanced skills in tensorflow

[GantMan]

@intbw - NSFWJS.com is available here: https://github.com/infinitered/nsfwjs/tree/master/example/nsfw_demo

[hrichiksite]

facing the same problem same code

    nsfwmodel = await nsfw.load('./tensorflow_nsfw_model/')

causes

   TypeError: Only absolute URLs are supported
    at getNodeRequestOptions (path\node_modules\node-fetch\lib\index.js:1305:9)
    at path\node_modules\node-fetch\lib\index.js:1410:19
    at new Promise (<anonymous>)
    at fetch (path\node_modules\node-fetch\lib\index.js:1407:9)
    at HTTPRequest.PlatformNode.fetch (path\node_modules\@tensorflow\tfjs-core\dist\tf-core.node.js:7266:16)
    at HTTPRequest.<anonymous> (path\node_modules\@tensorflow\tfjs-core\dist\tf-core.node.js:8125:55)
    at step (path\node_modules\@tensorflow\tfjs-core\dist\tf-core.node.js:129:27)
    at Object.next (path\node_modules\@tensorflow\tfjs-core\dist\tf-core.node.js:78:53)
    at path\node_modules\@tensorflow\tfjs-core\dist\tf-core.node.js:71:71
    at new Promise (<anonymous>)

[hrichiksite]

solved the problem by using this

    nsfwmodel = await nsfw.load('file://tensorflow_nsfw_model/', { size: 224 })

but now a new error occurs:

This error originated either by throwing inside of an async function without a catch block, or by rejecting a promise which was not handled with .catch(). The promise rejected with the reason:
Error: layer: Improper config format: 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'className' and 'config' must set.
    at new ValueError (path\node_modules\@tensorflow\tfjs-layers\dist\tf-layers.node.js:9827:28) 
    at deserializeKerasObject (path\node_modules\@tensorflow\tfjs-layers\dist\tf-layers.node.js:10070:19)
    at deserialize (path\node_modules\@tensorflow\tfjs-layers\dist\tf-layers.node.js:14615:12)   
    at path\node_modules\@tensorflow\tfjs-layers\dist\tf-layers.node.js:20095:29
    at step (path/node_modules\@tensorflow\tfjs-layers\dist\tf-layers.node.js:9745:23)
    at Object.next (path\node_modules\@tensorflow\tfjs-layers\dist\tf-layers.node.js:9726:53)    
    at fulfilled (path\node_modules\@tensorflow\tfjs-layers\dist\tf-layers.node.js:9716:58)     

I am using the web_model from the release 1.1.0

[sinhpn92]

I have got same issue with the message 'className' and 'config' must set.. Did you solve this issue? @hrichiksite

[GantMan]

Did you add the .json to the path for local? @cdanwards - let's bookmark this issue for research, it seems to be tripping people up.

[AnujSsStw]

@sinhpn92 use the const model = await nsfw.load( "file://./model", { type: "graph" } ); // To load a local model, nsfw.load('file://./path/to/model/')

use {type : "graph"} as the load options

[AnujSsStw]

is just added in BASE_PATH automatically even if you don't add it