classify.js | Naieve Bayesian Classifier in pure javascript | Machine Learning library
kandi X-RAY | classify.js Summary
kandi X-RAY | classify.js Summary
Naieve Bayesian Classifier in pure javascript.
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QUESTION
I think I am making a novice mistake but am having trouble figuring out what is going wrong.
Error:
C:\Users\Awesome\Google Drive\Source\Programming\JS\Testing>node classify rlc.jpg
(node:38620) UnhandledPromiseRejectionWarning: Error: cannot read as File: "model.json"
at readFile (C:\Users\Awesome\Google Drive\Source\Programming\JS\Testing\node_modules\filereader\FileReader.js:266:15)
at FileReader.self.readAsText (C:\Users\Awesome\Google Drive\Source\Programming\JS\Testing\node_modules\filereader\FileReader.js:295:7)
at C:\Users\Awesome\Google Drive\Source\Programming\JS\Testing\node_modules\@tensorflow\tfjs-core\dist\io\browser_files.js:226:36
at new Promise ()
at BrowserFiles. (C:\Users\Awesome\Google Drive\Source\Programming\JS\Testing\node_modules\@tensorflow\tfjs-core\dist\io\browser_files.js:159:39)
at step (C:\Users\Awesome\Google Drive\Source\Programming\JS\Testing\node_modules\@tensorflow\tfjs-core\dist\io\browser_files.js:48:23)
at Object.next (C:\Users\Awesome\Google Drive\Source\Programming\JS\Testing\node_modules\@tensorflow\tfjs-core\dist\io\browser_files.js:29:53)
at C:\Users\Awesome\Google Drive\Source\Programming\JS\Testing\node_modules\@tensorflow\tfjs-core\dist\io\browser_files.js:23:71
at new Promise ()
at __awaiter (C:\Users\Awesome\Google Drive\Source\Programming\JS\Testing\node_modules\@tensorflow\tfjs-core\dist\io\browser_files.js:19:12)
(node:38620) UnhandledPromiseRejectionWarning: Unhandled promise rejection. 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(). To terminate the node process on unhandled promise rejection, use the CLI flag--unhandled-rejections=strict(see https://nodejs.org/api/cli.html#cli_unhandled_rejections_mode). (rejection id: 2)
(node:38620) [DEP0018] DeprecationWarning: Unhandled promise rejections are deprecated. In the future,
promise rejections that are not handled will terminate the Node.js process with a non-zero exit code.
Code:
...ANSWER
Answered 2020-Apr-25 at 20:32Library expects File in loadFromFiles function, documentation in github.
File is browser API that you cannot use in node by default.
So you need to somehow polyfill that in node environment, check out these libraries
node-fetch/fetch-blob
node-file-api/file-api
Example usage with file-api:
QUESTION
I am trying to apply transfer learning by using a knnClassifier and the mobileNet image recognition model in Tensorflow.js I am, however, receiving the following error:
Size(28672) must match the product of shape 28,3072
I don't know how to tackle this issue, I've tried creating tensor3D, resizing using bilinear and nearest neighbor but to no avail. I was wondering if someone here could check this out.
Note that my idea here is to train images from certain folders and assign them to their class using the add example of the knnClassifier. I have a function that reads the image from a path, and an async function that trains the model and makes a prediction from an image.
................................................................................................
...ANSWER
Answered 2019-Nov-19 at 12:57Since the knn classifier is trained using an output from a node of mobilenet, the prediction needs to be done likewise
QUESTION
I am trying to make a simple static page that uses this bootstrap-classify library. I tried looking at several pieces of its code for hints on how to implement it. I'm pretty sure at least one step needed is to add .bs-classify to an HTML element but so far I haven't gotten anything useful to happen. I don't have any errors on the js console and all resources are loading without issues.
Below is a snippet of what is in index.html
...ANSWER
Answered 2019-Nov-01 at 21:08Looking through their source code and trying to reverse engineer it, it looks like you want:
QUESTION
I am trying to use Microsoft's Custom Vision API, but am running into nothing but 404 errors. How can I use the API?
I have tried copying and pasting and modifying the prediction sections of the Python and Javascript samples, such as the one found here: https://github.com/Azure-Samples/cognitive-services-node-sdk-samples/blob/master/Samples/customvision/customVisionImgClassify.js
Copying and pasting the prediction URL into my browser from the Perfomance page of Custom Vision, which is:
...ANSWER
Answered 2019-Jun-12 at 21:44I tried creating a request with the url you provided and couldn't reproduce the 404 issue. It's showing 401, as I do not have your project id or prediction key. But when I try with my own project and prediction key, everything works and it's returning 200 OK.
Could you please confirm the prediction url and prediction key header and try again?
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