Package net.semanticmetadata.lire.imageanalysis

Examples of net.semanticmetadata.lire.imageanalysis.LireFeature.extract()

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                feature = featureEnum.getFeatureClass().newInstance();
                BufferedImage img = ImageIO.read(new BytesStreamInput(image, false));
                if (Math.max(img.getHeight(), img.getWidth()) > ImageMapper.MAX_IMAGE_DIMENSION) {
                    img = ImageUtils.scaleImage(img, ImageMapper.MAX_IMAGE_DIMENSION);
                }
                feature.extract(img);
            } catch (Exception e) {
                throw new ElasticsearchImageProcessException("Failed to parse image", e);
            }
        } else if (lookupIndex != null && lookupType != null && lookupId != null && lookupPath != null) {
            String lookupFieldName = lookupPath + "." + featureEnum.name();
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                executor.execute(new Runnable() {
                    @Override
                    public void run() {
                        try {
                            LireFeature lireFeature = featureEnum.getFeatureClass().newInstance();
                            lireFeature.extract(finalImg);
                            featureExtractMap.put(featureEnum, lireFeature);
                        } catch (Throwable e){
                            logger.error("Failed to extract feature from image", e);
                        } finally {
                            latch.countDown();
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                LireFeature lireFeature;
                if (featureExtractMap.containsKey(featureEnum)) {   // already processed
                    lireFeature = featureExtractMap.get(featureEnum);
                } else {
                    lireFeature = featureEnum.getFeatureClass().newInstance();
                    lireFeature.extract(img);
                }
                byte[] parsedContent = lireFeature.getByteArrayRepresentation();

                Mapper featureMapper = featureMappers.get(featureEnum.name());
                context.externalValue(parsedContent);
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