update

AxaFrance · Jul 22, 2023 · 2b6b067 · 2b6b067
1 parent 64bd17a
commit 2b6b067
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Showing 3 changed files with 5 additions and 5 deletions.
diff --git a/src/Opencv/templateMatching.js b/src/Opencv/templateMatching.js
@@ -95,7 +95,7 @@ export const findMatch = (cv) => (template, image) => {
     let colorRed = new cv.Scalar(255, 100, 200, 255);
     cv.putText(image, "" + numberPoint, new cv.Point(10, 30), cv.FONT_HERSHEY_SIMPLEX, 1.0, colorRed, 1, cv.LINE_AA);
 
-    if(maxPoint.x > 0 && maxPoint.y > 0 && Math.abs(maxPoint.x - point1.x) < 20 && Math.abs(maxPoint.y - point1.y) < 20 ) {
+    if(maxPoint.x > 0 && maxPoint.y > 0 && Math.abs(maxPoint.x - point1.x) < 10 && Math.abs(maxPoint.y - point1.y) < 10 ) {
         const lineSize = average < 0.1 ? 1 : parseInt(average * 10, 10);
         //console.log("lineSize")
         //console.log(lineSize)

diff --git a/src/Opencv/video.js b/src/Opencv/video.js
@@ -50,7 +50,7 @@ export const loadVideoAsync = (cv) => (transformImage) => {
             audio: false,
             video: {
                 width: { ideal: 2600 },
-                height: { ideal: 2000 },
+                height: { ideal: 2600 },
                 facingMode: {
                     //ideal: 'face'
                     ideal: 'environment'

diff --git a/src/TemplateVideo.stories.jsx b/src/TemplateVideo.stories.jsx
@@ -44,11 +44,11 @@ const transformImage = (stateImgCvTemplateResized, imgDescription) => {
                 // const imgDescription =  JSON.parse(state.jsonContent)
                // const limiteRate = parseInt((state.confidenceRate + state.confidenceRate / 8), 10);
               //  console.log("limiteRate", limiteRate)
-               /*promise = zoneAsync(cv)(imgCv, imgDescription, 30).then(result => {
+               promise = zoneAsync(cv)(imgCv, imgDescription, 30).then(result => {
 
                    try {
                        console.log("result", result);
-                       if (result && result?.goodMatchSize > state.confidenceRate -30 ) {
+                       if (result && result?.goodMatchSize > state.confidenceRate) {
                            const bestOutput = toImageBase64(cv)(imgCv);
                            const newState = {
                                ...state,
@@ -77,7 +77,7 @@ const transformImage = (stateImgCvTemplateResized, imgDescription) => {
                    }    
 
                     }
-                );*/
+                );
 
                 /*
                 const result = await computeAndApplyHomography(cv)(imgDescription, imgCv, state.confidenceRate);