From 3f2c619439b92e8fca6b077de5a481cf6813b085 Mon Sep 17 00:00:00 2001 From: myrahsa <78187389+myrahsa@users.noreply.github.com> Date: Fri, 4 Oct 2024 19:32:22 -0400 Subject: [PATCH 1/2] getting started version check --- docs/README.md | 22 ++++++++++++++++-- .../gettingstarted-create_folder_alpha.png | Bin 110761 -> 49455 bytes .../gettingstarted-import-lib-alpha.png | Bin 253070 -> 104705 bytes .../gettingstarted-ml5-version-console.png | Bin 0 -> 55395 bytes .../assets/gettingstarted-ml5-version-run.png | Bin 0 -> 50898 bytes .../gettingstarted-run-sketch-alpha.png | Bin 613965 -> 230605 bytes .../gettingstarted-sketch-folder-alpha.png | Bin 90931 -> 39463 bytes .../gettingstarted-upload-file-alpha.png | Bin 113905 -> 50392 bytes 8 files changed, 20 insertions(+), 2 deletions(-) create mode 100644 docs/assets/gettingstarted-ml5-version-console.png create mode 100644 docs/assets/gettingstarted-ml5-version-run.png diff --git a/docs/README.md b/docs/README.md index 371b130..999ad58 100644 --- a/docs/README.md +++ b/docs/README.md @@ -21,7 +21,6 @@ We will using a p5.js sketch running on the [p5.js web editor](https://editor.p5 Once you have the p5.js web editor open, unfold the project directory by clicking the arrow `>` at the top left corner. -
screenshot of sketch files on the p5 web editor interface
@@ -36,6 +35,25 @@ Now, let's switch to the `index.html` file and copy and paste the following CDN screenshot of importing ml5 library in index.html file +We can check if the ml5.js library has been imported successfully by using the `console.log()` method. Switch back to the `sketch.js` file and include this line of code inside the `setup()` function: + +```js +console.log("ml5 version:", ml5.version); +``` + +Press the run button on the top left corner of the editor to run the sketch. + +
+ screenshot of adding console.log method to p5 sketch + +
+ +If everything loaded properly, you should see the version number of the ml5.js library show up in the console. + +
+ screenshot of p5 console showing ml5 version +
+ ## Load pretrained ml5.js model {docsify-ignore} Use the project directory to switch back to the `sketch.js` file. We will define a variable called `classifier` to hold the image classifier model. @@ -59,7 +77,7 @@ function preload() { Let's unfold the project directory again by clicking the arrow `>` at the top left corner of the p5.js editor.
- screenshot of sketch files on the p5 web editor interface + screenshot of opening sketch files on the p5 web editor interface
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Date: Fri, 4 Oct 2024 19:52:25 -0400 Subject: [PATCH 2/2] fix wording --- docs/README.md | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/docs/README.md b/docs/README.md index 999ad58..38c75ea 100644 --- a/docs/README.md +++ b/docs/README.md @@ -35,7 +35,7 @@ Now, let's switch to the `index.html` file and copy and paste the following CDN screenshot of importing ml5 library in index.html file -We can check if the ml5.js library has been imported successfully by using the `console.log()` method. Switch back to the `sketch.js` file and include this line of code inside the `setup()` function: +We can check if the ml5.js library has been imported successfully by using the `console.log()` method. Use the project directory to switch back to the `sketch.js` file and include this line of code inside the `setup()` function: ```js console.log("ml5 version:", ml5.version); @@ -45,7 +45,6 @@ Press the run button on the top left corner of the editor to run the sketch.

    screenshot of adding console.log method to p5 sketch -
    If everything loaded properly, you should see the version number of the ml5.js library show up in the console. @@ -56,7 +55,7 @@ If everything loaded properly, you should see the version number of the ml5.js l ## Load pretrained ml5.js model {docsify-ignore} -Use the project directory to switch back to the `sketch.js` file. We will define a variable called `classifier` to hold the image classifier model. +In the `sketch.js` file, we will define a variable called `classifier` to hold the image classifier model. ```js let classifier;