image-dataset
Version:
Tool to build image dataset: collect, classify, review
336 lines (327 loc) • 12.2 kB
JavaScript
;
var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) {
if (k2 === undefined) k2 = k;
var desc = Object.getOwnPropertyDescriptor(m, k);
if (!desc || ("get" in desc ? !m.__esModule : desc.writable || desc.configurable)) {
desc = { enumerable: true, get: function() { return m[k]; } };
}
Object.defineProperty(o, k2, desc);
}) : (function(o, m, k, k2) {
if (k2 === undefined) k2 = k;
o[k2] = m[k];
}));
var __setModuleDefault = (this && this.__setModuleDefault) || (Object.create ? (function(o, v) {
Object.defineProperty(o, "default", { enumerable: true, value: v });
}) : function(o, v) {
o["default"] = v;
});
var __importStar = (this && this.__importStar) || (function () {
var ownKeys = function(o) {
ownKeys = Object.getOwnPropertyNames || function (o) {
var ar = [];
for (var k in o) if (Object.prototype.hasOwnProperty.call(o, k)) ar[ar.length] = k;
return ar;
};
return ownKeys(o);
};
return function (mod) {
if (mod && mod.__esModule) return mod;
var result = {};
if (mod != null) for (var k = ownKeys(mod), i = 0; i < k.length; i++) if (k[i] !== "default") __createBinding(result, mod, k[i]);
__setModuleDefault(result, mod);
return result;
};
})();
Object.defineProperty(exports, "__esModule", { value: true });
exports.cli = cli;
const fs_1 = require("fs");
const string_1 = require("@beenotung/tslib/string");
const file_1 = require("./file");
const config_1 = require("./config");
const env_1 = require("./env");
const setup_1 = require("./setup");
const child_process_1 = require("child_process");
const path_1 = require("path");
const db_1 = require("./db");
function parseArguments() {
let keywords = [];
let mode = null;
let args = process.argv;
if (args.length == 2) {
showVersion(console.error);
console.error('Error: missing arguments');
console.error('Run "npx image-dataset --help" to see help message');
process.exit(1);
}
for (let i = 2; i < args.length; i++) {
let arg = args[i];
let next = args[i + 1];
switch (arg) {
case '-h':
case '--help': {
showVersion(console.log);
console.log(`
Usage: npx image-dataset [options]
Options:
General:
-h, --help Show this help message and exit.
-v, --version Show the version number and exit.
Download Mode:
-l, --listFile <path> Specify a file containing a list of search terms. Each term should be on a new line.
-s, --searchTerm "<term>" Add a single search term for processing. Use quotes if the term contains spaces.
-d, --downloadDir <dir> Set the directory where downloads will be saved. Default is "./downloaded".
Analysis Mode:
-a, --analysis Run analysis mode instead of download mode.
Benchmark Mode:
-b, --benchmark Measure the time needed to classify images.
Rename Mode:
-r, --rename Rename image filenames by content hash.
-u, --restore Restore unclassified images to downloaded directory.
Web UI Mode:
-w, --webUI Launch the web-based user interface.
-p, --port <number> Set the port for the web UI. Default is 8100.
-c, --complexity <number> Set the complexity for image classifier model. Over-complex setting may result in over-fitting.
1 for low complexity (default),
2-3 for moderate complexity,
4-5 for high complexity.
Notes:
- In download mode, at least one search term must be specified, either using --listFile or --searchTerm.
- A mode is automatically selected when a mode-specific option is given. If none are selected, the help message will guide you.
`.trim());
process.exit(0);
}
case '-v':
case '--version': {
showVersion(console.log);
process.exit(0);
}
case '-l':
case '--listFile': {
if (!next) {
showVersion(console.error);
console.error('Error: missing file path after --listFile');
process.exit(1);
}
mode = 'download';
keywords.push(...readListFile(next));
i++;
break;
}
case '-s':
case '--searchTerm': {
mode = 'download';
if (!next) {
showVersion(console.error);
console.error('Error: missing search term after --searchTerm');
process.exit(1);
}
keywords.push(next);
i++;
break;
}
case '-d':
case '--downloadDir': {
if (!next) {
showVersion(console.error);
console.error('Error: missing directory path after --downloadDir');
process.exit(1);
}
mode = 'download';
config_1.config.downloadedRootDir = next;
i++;
break;
}
case '-a':
case '--analysis': {
mode = 'analysis';
break;
}
case '-b':
case '--benchmark': {
mode = 'benchmark';
break;
}
case '-r':
case '--rename': {
mode = 'rename';
break;
}
case '-u':
case '--restore': {
mode = 'restore';
break;
}
case '-w':
case '--webUI': {
mode = 'webUI';
break;
}
case '-p':
case '--port': {
if (!next) {
showVersion(console.error);
console.error('Error: missing port number after --port');
process.exit(1);
}
env_1.env.PORT = +next;
if (!env_1.env.PORT) {
showVersion(console.error);
console.error('Error: invalid port number after --port');
process.exit(1);
}
i++;
break;
}
case '-c':
case '--complexity': {
if (!next) {
showVersion(console.error);
console.error('Error: missing complexity number after --complexity');
process.exit(1);
}
env_1.env.CLASSIFICATION_DIFFICULTY = +next;
if (!(env_1.env.CLASSIFICATION_DIFFICULTY > 0)) {
showVersion(console.error);
console.error('Error: invalid complexity number after --complexity');
process.exit(1);
}
i++;
break;
}
default: {
showVersion(console.error);
console.error('Error: unknown argument: ' + JSON.stringify(arg));
process.exit(1);
}
}
}
if (!mode) {
console.error('Error: run mode not specified');
console.error('Run "npx image-dataset --help" to see help message');
process.exit(1);
}
if (mode == 'download' && keywords.length == 0) {
showVersion(console.error);
console.error('Error: missing keywords');
console.error('Either specify with --searchTerm or --listFile');
process.exit(1);
}
return { keywords, mode };
}
function showVersion(log) {
let pkg = require((0, file_1.resolveFile)('package.json'));
log(`${pkg.name} v${pkg.version}`);
}
function readListFile(file) {
if (!(0, fs_1.existsSync)(file)) {
console.error('Error: missing file ' + JSON.stringify(file));
process.exit(1);
}
let text = (0, fs_1.readFileSync)(file).toString();
let lines = (0, string_1.extract_lines)(text);
return lines;
}
async function cli() {
let args = parseArguments();
await (0, setup_1.setupDB)();
if (args.mode == 'analysis') {
let mod = await Promise.resolve().then(() => __importStar(require('./analysis')));
mod.analysis();
return;
}
if (args.mode == 'benchmark') {
installPlaywright();
let mod = await Promise.resolve().then(() => __importStar(require('./benchmark')));
await mod.benchmark();
return;
}
if (args.mode == 'rename') {
let mod = await Promise.resolve().then(() => __importStar(require('./rename-by-content-hash')));
mod.main();
return;
}
if (args.mode == 'restore') {
let mod = await Promise.resolve().then(() => __importStar(require('./unclassify')));
mod.restoreUnclassified();
return;
}
if (args.mode == 'webUI') {
setupGitIgnore([
...gitIgnoreFiles.db,
config_1.config.downloadedRootDir,
config_1.config.datasetRootDir,
config_1.config.classifiedRootDir,
config_1.config.unclassifiedRootDir,
config_1.config.baseModelDir,
config_1.config.classifierModelDir,
]);
installTensorflow();
let model = await Promise.resolve().then(() => __importStar(require('./model')));
await model.initClassNames();
let server = await Promise.resolve().then(() => __importStar(require('./server')));
server.startServer(env_1.env.PORT);
return;
}
if (args.mode == 'download') {
setupGitIgnore([...gitIgnoreFiles.db, config_1.config.downloadedRootDir]);
installPlaywright();
let mod = await Promise.resolve().then(() => __importStar(require('./collect')));
await mod.main(args.keywords);
return;
}
let mode = args.mode;
console.error('Error: unknown mode: ' + JSON.stringify(mode));
console.error('Run "npx image-dataset --help" to see help message');
process.exit(1);
}
let gitIgnoreFiles = {
db: [db_1.dbFile, db_1.dbFile + '-shm', db_1.dbFile + '-wal'],
};
function setupGitIgnore(files) {
let content = '';
try {
content = (0, fs_1.readFileSync)('.gitignore', 'utf-8');
}
catch (error) {
// e.g. file not found
}
let newContent = '\n' + content.trim().replaceAll('\r\n', '\n') + '\n';
for (let file of files) {
if (file.startsWith('./')) {
file = file.slice(2);
}
if (!newContent.includes('\n' + file + '\n')) {
newContent += file + '\n';
}
}
newContent = newContent.trim() + '\n';
if (newContent == content) {
return;
}
(0, fs_1.writeFileSync)('.gitignore', newContent);
}
function installPlaywright() {
(0, child_process_1.execSync)('npx playwright install chromium');
}
function installTensorflow() {
let filename = 'tensorflow.dll';
let src = 'node_modules/@tensorflow/tfjs-node/deps/lib/' + filename;
// test direct dependency on @tensorflow/tfjs-node
{
let dest_dir = 'node_modules/@tensorflow/tfjs-node/lib/napi-v8';
let dest_file = (0, path_1.join)(dest_dir, filename);
if ((0, fs_1.existsSync)(src) && (0, fs_1.existsSync)(dest_dir) && !(0, fs_1.existsSync)(dest_file)) {
(0, fs_1.copyFileSync)(src, dest_file);
return;
}
}
// test indirect dependency on @tensorflow/tfjs-node
{
let dest_dir = 'node_modules/image-dataset/node_modules/@tensorflow/tfjs-node/lib/napi-v8';
let dest_file = (0, path_1.join)(dest_dir, filename);
if ((0, fs_1.existsSync)(src) && (0, fs_1.existsSync)(dest_dir) && !(0, fs_1.existsSync)(dest_file)) {
(0, fs_1.copyFileSync)(src, dest_file);
return;
}
}
}