yolo-helpers/dist/yolo-classify/node.js

Helper functions to use models converted from YOLO in browser and Node.js

"use strict";
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Object.defineProperty(exports, "__esModule", { value: true });
exports.classifyImage = classifyImage;
exports.classifyImageSync = classifyImageSync;
const tf = __importStar(require("@tensorflow/tfjs-node"));
const promises_1 = require("fs/promises");
const fs_1 = require("fs");
const common_1 = require("../tensorflow/common");
const common_2 = require("./common");
__exportStar(require("./common"), exports);
/**
 * image features:
 *   - confidence of all classes
 *   - highest confidence, class_index
 *
 * The confidence are already normalized between 0 to 1, and sum up to 1.
 */
async function classifyImage(args) {
    let { model } = args;
    let input_shape = args.input_shape || (0, common_1.getModelInputShape)(model);
    let buffer = 'file' in args ? await (0, promises_1.readFile)(args.file) : null;
    let result = tf.tidy(() => {
        let input = 'tensor' in args ? args.tensor : tf.node.decodeImage(buffer);
        input = (0, common_1.preprocessInput)(input, input_shape);
        return model.predict(input, {});
    });
    let output = (await result.array());
    result.dispose();
    return (0, common_2.decodeClassify)({
        ...args,
        output,
    });
}
/**
 * Sync version of `detectBox`.
 */
function classifyImageSync(args) {
    let { model } = args;
    let input_shape = args.input_shape || (0, common_1.getModelInputShape)(model);
    let buffer = 'file' in args ? (0, fs_1.readFileSync)(args.file) : null;
    let output = tf.tidy(() => {
        let input = 'tensor' in args ? args.tensor : tf.node.decodeImage(buffer);
        input = (0, common_1.preprocessInput)(input, input_shape);
        let result = model.predict(input, {});
        return result.arraySync();
    });
    return (0, common_2.decodeClassify)({
        ...args,
        output,
    });
}