Ubuntu
68 lines
3.4 KiB
JavaScript
68 lines
3.4 KiB
JavaScript
// deep_diag.js - deep diagnostic using the actual PaperRecognizer internal data
|
|
const { createCanvas, loadImage } = require('canvas');
|
|
const fs = require('fs');
|
|
|
|
// Patch paper-recognizer to capture internal state
|
|
const orig = require('./paper-recognizer.js');
|
|
|
|
// We'll hook into the module by reading the source and injecting debug
|
|
const code = fs.readFileSync('./paper-recognizer.js', 'utf8');
|
|
|
|
// Write a version with debug logging at key points
|
|
const debugCode = code
|
|
.replace(
|
|
'const bigCands = candidates.filter(c => c.isBig && c.area >= GP.MIN_BIG_LOCATOR_AREA && c.area <= GP.MAX_BIG_LOCATOR_AREA);',
|
|
`console.log(' [DEBUG] totalCandidates=' + candidates.length);
|
|
for (const c of candidates) console.log(' ' + (c.isBig?'BIG':'SMALL') + ' color=' + c.color + ' area=' + c.area + ' ratio=' + c.aspectRatio.toFixed(2) + ' x=' + c.center.x.toFixed(0) + ',y=' + c.center.y.toFixed(0));
|
|
const bigCands = candidates.filter(c => c.isBig && c.area >= GP.MIN_BIG_LOCATOR_AREA && c.area <= GP.MAX_BIG_LOCATOR_AREA);`
|
|
)
|
|
.replace(
|
|
'const smallCands = candidates.filter(c => c.isSmall && c.area >= GP.MIN_SMALL_LOCATOR_AREA && c.area <= GP.MAX_SMALL_LOCATOR_AREA);',
|
|
`const smallCands = candidates.filter(c => c.isSmall && c.area >= GP.MIN_SMALL_LOCATOR_AREA && c.area <= GP.MAX_SMALL_LOCATOR_AREA);
|
|
console.log(' [DEBUG] bigCands=' + bigCands.length + ' smallCands=' + smallCands.length);
|
|
for (const c of bigCands) console.log(' BIG: area=' + c.area + ' color=' + c.color + ' x=' + c.center.x.toFixed(0));
|
|
for (const c of smallCands) console.log(' SMALL: area=' + c.area + ' color=' + c.color + ' x=' + c.center.x.toFixed(0));`
|
|
)
|
|
.replace(
|
|
'if (bigCands.length === 0 || smallCands.length === 0) {',
|
|
`console.log(' [DEBUG] entering fallback check: bigs=' + bigCands.length + ' smalls=' + smallCands.length);
|
|
if (bigCands.length === 0 || smallCands.length === 0) {`
|
|
)
|
|
.replace(
|
|
'return { success: false, errorCode: -3, errorMessage: \'No locators found\' };',
|
|
`console.log(' [DEBUG] RETURN -3: no locators');
|
|
return { success: false, errorCode: -3, errorMessage: 'No locators found' };`
|
|
)
|
|
.replace(
|
|
'return { success: false, errorCode: -4, errorMessage: \'No matching locator pair\' };',
|
|
`console.log(' [DEBUG] RETURN -4: no matching pair');
|
|
return { success: false, errorCode: -4, errorMessage: 'No matching locator pair' };`
|
|
)
|
|
.replace(
|
|
'const paperType = matchConfig(distRatio, areaRatio2, bigType);',
|
|
`const paperType = matchConfig(distRatio, areaRatio2, bigType);
|
|
console.log(' [DEBUG] matchConfig: distRatio=' + distRatio.toFixed(2) + ' areaRatio=' + areaRatio2.toFixed(2) + ' bigType=' + bigType + ' paperType=' + paperType);`
|
|
);
|
|
|
|
// Write temp file
|
|
fs.writeFileSync('./paper-recognizer-debug.js', debugCode);
|
|
|
|
const { PaperRecognizer } = require('./paper-recognizer-debug.js');
|
|
|
|
async function test(f) {
|
|
const img = await loadImage(f);
|
|
const c = createCanvas(img.width, img.height);
|
|
const ctx = c.getContext('2d');
|
|
ctx.drawImage(img, 0, 0);
|
|
const id = ctx.getImageData(0, 0, img.width, img.height);
|
|
const r = new PaperRecognizer();
|
|
const result = r.recognize(new Uint8Array(id.data.buffer), img.width, img.height);
|
|
console.log(' RESULT: ' + result.errorCode + ' ' + result.errorMessage);
|
|
r.free();
|
|
}
|
|
|
|
(async () => {
|
|
const dir = '/home/ubuntu/nanocode/web-opencv/cpp/images/';
|
|
await test(dir + '4b85f78723d00b4fb4ef06cc4ca6f1e8.jpg');
|
|
})();
|