Examples of LireFeature

net.semanticmetadata.lire.imageanalysis.LireFeature

Examples of net.semanticmetadata.lire.imageanalysis.LireFeature

            binaryDocValues = atomicReader.getBinaryDocValues(luceneFieldName);
        }


        try {
            BytesRef bytesRef = binaryDocValues.get(docID());
            LireFeature docFeature = lireFeature.getClass().newInstance();
            docFeature.setByteArrayRepresentation(bytesRef.bytes);


            float distance = lireFeature.getDistance(docFeature);
            float score;
            if (Float.compare(distance, 1.0f) <= 0) { // distance less than 1, consider as same image
                score = 2f - distance;

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Examples of net.semanticmetadata.lire.imageanalysis.LireFeature

        if (featureEnum == null) {
            throw new QueryParsingException(parseContext.index(), "No feature specified for image query");
        }


        String luceneFieldName = fieldName + "." + featureEnum.name();
        LireFeature feature = null;


        if (image != null) {
            try {
                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();
            GetResponse getResponse = client.get(new GetRequest(lookupIndex, lookupType, lookupId).preference("_local").routing(lookupRouting).fields(lookupFieldName).realtime(false)).actionGet();
            if (getResponse.isExists()) {
                GetField getField = getResponse.getField(lookupFieldName);
                if (getField != null) {
                    BytesReference bytesReference = (BytesReference) getField.getValue();
                    try {
                        feature = featureEnum.getFeatureClass().newInstance();
                        feature.setByteArrayRepresentation(bytesReference.array(), bytesReference.arrayOffset(), bytesReference.length());
                    } catch (Exception e) {
                        throw new ElasticsearchImageProcessException("Failed to parse image", e);
                    }
                }
            }
        }
        if (feature == null) {
            throw new QueryParsingException(parseContext.index(), "No image specified for image query");
        }




        if (hashEnum == null) {  // no hash, need to scan all documents
            return new ImageQuery(luceneFieldName, feature, boost);
        } else {  // query by hash first
            int[] hash = null;
            if (hashEnum.equals(HashEnum.BIT_SAMPLING)) {
                hash = BitSampling.generateHashes(feature.getDoubleHistogram());
            } else if (hashEnum.equals(HashEnum.LSH)) {
                hash = LocalitySensitiveHashing.generateHashes(feature.getDoubleHistogram());
            }
            String hashFieldName = luceneFieldName + "." + ImageMapper.HASH + "." + hashEnum.name();


            if (limit > 0) {  // has max result limit, use ImageHashLimitQuery
                return new ImageHashLimitQuery(hashFieldName, hash, limit, luceneFieldName, feature, boost);

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Examples of net.semanticmetadata.lire.imageanalysis.LireFeature

                final FeatureEnum featureEnum = cursor.key;
                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();
                        }
                    }
                });
            }
            try {
                latch.await();
            } catch (InterruptedException e) {
                logger.debug("Interrupted extract feature from image", e);
                Thread.currentThread().interrupt();
            }
        }




        for (ObjectObjectCursor<FeatureEnum, Map<String, Object>> cursor : features) {
            FeatureEnum featureEnum = cursor.key;
            Map<String, Object> featureMap = cursor.value;


            try {
                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);
                featureMapper.parse(context);
                context.doc().add(new BinaryDocValuesField(name() + "." + featureEnum.name(), new BytesRef(parsedContent)));


                // add hash if required
                if (featureMap.containsKey(HASH)) {
                    List<String> hashes = (List<String>) featureMap.get(HASH);
                    for (String h : hashes) {
                        HashEnum hashEnum = HashEnum.valueOf(h);
                        int[] hashVals = null;
                        if (hashEnum.equals(HashEnum.BIT_SAMPLING)) {
                            hashVals = BitSampling.generateHashes(lireFeature.getDoubleHistogram());
                        } else if (hashEnum.equals(HashEnum.LSH)) {
                            hashVals = LocalitySensitiveHashing.generateHashes(lireFeature.getDoubleHistogram());
                        }


                        String mapperName = featureEnum.name() + "." + HASH + "." + h;
                        Mapper hashMapper = hashMappers.get(mapperName);
                        context.externalValue(SerializationUtils.arrayToString(hashVals));

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