| 48 | */ |
| 49 | // [START vision_face_detection_tutorial_process_response] |
| 50 | async function highlightFaces(inputFile, faces, outputFile, PImage) { |
| 51 | // Open the original image |
| 52 | const stream = fs.createReadStream(inputFile); |
| 53 | let promise; |
| 54 | if (inputFile.match(/\.jpg$/)) { |
| 55 | promise = PImage.decodeJPEGFromStream(stream); |
| 56 | } else if (inputFile.match(/\.png$/)) { |
| 57 | promise = PImage.decodePNGFromStream(stream); |
| 58 | } else { |
| 59 | throw new Error(`Unknown filename extension ${inputFile}`); |
| 60 | } |
| 61 | const img = await promise; |
| 62 | const context = img.getContext('2d'); |
| 63 | context.drawImage(img, 0, 0, img.width, img.height, 0, 0); |
| 64 | |
| 65 | // Now draw boxes around all the faces |
| 66 | context.strokeStyle = 'rgba(0,255,0,0.8)'; |
| 67 | context.lineWidth = '5'; |
| 68 | |
| 69 | faces.forEach(face => { |
| 70 | context.beginPath(); |
| 71 | let origX = 0; |
| 72 | let origY = 0; |
| 73 | face.boundingPoly.vertices.forEach((bounds, i) => { |
| 74 | if (i === 0) { |
| 75 | origX = bounds.x; |
| 76 | origY = bounds.y; |
| 77 | context.moveTo(bounds.x, bounds.y); |
| 78 | } else { |
| 79 | context.lineTo(bounds.x, bounds.y); |
| 80 | } |
| 81 | }); |
| 82 | context.lineTo(origX, origY); |
| 83 | context.stroke(); |
| 84 | }); |
| 85 | |
| 86 | // Write the result to a file |
| 87 | console.log(`Writing to file ${outputFile}`); |
| 88 | const writeStream = fs.createWriteStream(outputFile); |
| 89 | await PImage.encodePNGToStream(img, writeStream); |
| 90 | } |
| 91 | // [END vision_face_detection_tutorial_process_response] |
| 92 | |
| 93 | // Run the example |