Andrews Kangah atakangah

Semantic Commit Messages

See how a minor change to your commit message style can make you a better programmer.

Format: <type>(<scope>): <subject>

<scope> is optional

Example

Building TensorFlow from source (TF 2.3.0, Ubuntu 20.04)

Why build from source?

The official instructions on installing TensorFlow are here: https://www.tensorflow.org/install. If you want to install TensorFlow just using pip, you are running a supported Ubuntu LTS distribution, and you're happy to install the respective tested CUDA versions (which often are outdated), by all means go ahead. A good alternative may be to run a Docker image.

I am usually unhappy with installing what in effect are pre-built binaries. These binaries are often not compatible with the Ubuntu version I am running, the CUDA version that I have installed, and so on. Furthermore, they may be slower than binaries optimized for the target architecture, since certain instructions are not being used (e.g. AVX2, FMA).

So installing TensorFlow from source becomes a necessity. The official instructions on building TensorFlow from source are here: ht

Hexadecimal color code for transparency

How to set transparency with hex value ?

For example, you want to set 40% alpha transparence to #000000 (black color), you need to add 66 like this #66000000.

	const tf = require('@tensorflow/tfjs-node');
	const Jimp = require('jimp');

	// Directory path for model files (model.json, metadata.json, weights.bin)
	// NOTE: It can be obtained from [Export Model] -> [Tensorflow.js] -> [Download my model]
	// on https://teachablemachine.withgoogle.com/train/image
	const MODEL_DIR_PATH = `${__dirname}`;

	// Path for image file to predict class
	const IMAGE_FILE_PATH = `${__dirname}/example.jpg`;