Java Code Examples for org.nd4j.shade.jackson.databind.JsonNode#has()
The following examples show how to use
org.nd4j.shade.jackson.databind.JsonNode#has() .
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Example 1
Source File: DataJsonDeserializer.java From konduit-serving with Apache License 2.0 | 6 votes |
protected Point deserializePoint(JsonNode n2){ String label = null; Double prob = null; if(n2.has("label") ){ label = n2.get("label").textValue(); } else if(n2.has("@label")){ label = n2.get("@label").textValue(); } if(n2.has("probability")){ prob = n2.get("probability").doubleValue(); } else if(n2.has("@probability")){ prob = n2.get("@probability").doubleValue(); } ArrayNode n3 = (ArrayNode) n2.get(Data.RESERVED_KEY_POINT_COORDS); double[] coords = new double[n3.size()]; for (int i = 0; i < n3.size(); i++) { coords[i] = n3.get(i).asDouble(); } return Point.create(coords, label, prob); }
Example 2
Source File: DataJsonDeserializer.java From konduit-serving with Apache License 2.0 | 5 votes |
public static BoundingBox deserializeBB(JsonNode n2){ String label = null; Double prob = null; if(n2.has("label") ){ label = n2.get("label").textValue(); } else if(n2.has("@label")){ label = n2.get("@label").textValue(); } if(n2.has("probability")){ prob = n2.get("probability").doubleValue(); } else if(n2.has("@probability")){ prob = n2.get("@probability").doubleValue(); } if(n2.has(Data.RESERVED_KEY_BB_CX)){ double cx = n2.get(Data.RESERVED_KEY_BB_CX).doubleValue(); double cy = n2.get(Data.RESERVED_KEY_BB_CY).doubleValue(); double h = n2.get(Data.RESERVED_KEY_BB_H).doubleValue(); double w = n2.get(Data.RESERVED_KEY_BB_W).doubleValue(); return BoundingBox.create(cx, cy, h, w, label, prob); } else { double x1 = n2.get(Data.RESERVED_KEY_BB_X1).doubleValue(); double x2 = n2.get(Data.RESERVED_KEY_BB_X2).doubleValue(); double y1 = n2.get(Data.RESERVED_KEY_BB_Y1).doubleValue(); double y2 = n2.get(Data.RESERVED_KEY_BB_Y2).doubleValue(); return BoundingBox.createXY(x1, x2, y1, y2, label, prob); } }
Example 3
Source File: DataJsonDeserializer.java From konduit-serving with Apache License 2.0 | 5 votes |
protected ValueType nodeType(JsonNode n){ if (n.isTextual()) { //String return ValueType.STRING; } else if (n.isDouble()) { //Double return ValueType.DOUBLE; } else if (n.isInt() || n.isLong()) { //Long return ValueType.INT64; } else if (n.isBoolean()) { //Boolean return ValueType.BOOLEAN; } else if (n.isArray()){ return ValueType.LIST; } else if (n.isObject()) { //Could be: Bytes, image, NDArray, BoundingBox, Point or Data if (n.has(Data.RESERVED_KEY_BYTES_BASE64)) { return ValueType.BYTES; } else if (n.has(Data.RESERVED_KEY_BYTES_ARRAY)) { return ValueType.BYTES; } else if (n.has(Data.RESERVED_KEY_NDARRAY_TYPE)) { //NDArray return ValueType.NDARRAY; } else if (n.has(Data.RESERVED_KEY_IMAGE_DATA)) { //Image return ValueType.IMAGE; } else if(n.has(Data.RESERVED_KEY_BB_CX) || n.has(Data.RESERVED_KEY_BB_X1)){ return ValueType.BOUNDING_BOX; } else if(n.has(Data.RESERVED_KEY_POINT_COORDS)){ return ValueType.POINT; } else { //Must be data return ValueType.DATA; } } else { throw new UnsupportedOperationException("Type not yet implemented"); } }
Example 4
Source File: PointDeserializer.java From konduit-serving with Apache License 2.0 | 5 votes |
@Override public Point deserialize(JsonParser jp, DeserializationContext dc) throws IOException, JsonProcessingException { JsonNode n = jp.getCodec().readTree(jp); String lbl = n.has("label") ? n.get("label").textValue() : null; Double prob = n.has("probability") ? n.get("probability").doubleValue() : null; ArrayNode cn = (ArrayNode)n.get("coords"); double[] pts = new double[cn.size()]; for( int i=0; i<pts.length; i++ ){ pts[i] = cn.get(i).doubleValue(); } return new NDPoint(pts, lbl, prob); }
Example 5
Source File: BoundingBoxesDeserializer.java From deeplearning4j with Apache License 2.0 | 5 votes |
@Override public INDArray deserialize(JsonParser jp, DeserializationContext deserializationContext) throws IOException, JsonProcessingException { JsonNode node = jp.getCodec().readTree(jp); if(node.has("dataBuffer")){ //Must be legacy format serialization JsonNode arr = node.get("dataBuffer"); int rank = node.get("rankField").asInt(); int numElements = node.get("numElements").asInt(); int offset = node.get("offsetField").asInt(); JsonNode shape = node.get("shapeField"); JsonNode stride = node.get("strideField"); int[] shapeArr = new int[rank]; int[] strideArr = new int[rank]; DataBuffer buff = Nd4j.createBuffer(numElements); for (int i = 0; i < numElements; i++) { buff.put(i, arr.get(i).asDouble()); } String ordering = node.get("orderingField").asText(); for (int i = 0; i < rank; i++) { shapeArr[i] = shape.get(i).asInt(); strideArr[i] = stride.get(i).asInt(); } return Nd4j.create(buff, shapeArr, strideArr, offset, ordering.charAt(0)); } //Standard/new format return new NDArrayTextDeSerializer().deserialize(node); }
Example 6
Source File: DataJsonDeserializer.java From konduit-serving with Apache License 2.0 | 4 votes |
public Data deserialize(JsonParser jp, JsonNode n) { JData d = new JData(); Iterator<String> names = n.fieldNames(); while (names.hasNext()) { String s = names.next(); JsonNode n2 = n.get(s); if (Data.RESERVED_KEY_METADATA.equalsIgnoreCase(s)) { Data meta = deserialize(jp, n2); d.setMetaData(meta); } else { if (n2.isTextual()) { //String String str = n2.textValue(); d.put(s, str); } else if (n2.isDouble()) { //Double double dVal = n2.doubleValue(); d.put(s, dVal); } else if (n2.isInt() || n2.isLong()) { //Long long lVal = n2.longValue(); d.put(s, lVal); } else if (n2.isBoolean()) { //Boolean boolean b = n2.booleanValue(); d.put(s, b); } else if (n2.isArray()){ Pair<List<Object>, ValueType> p = deserializeList(jp, n2); d.putList(s, p.getFirst(), p.getSecond()); } else if (n2.isObject()) { //Could be: Bytes, image, NDArray, BoundingBox, Point or Data if (n2.has(Data.RESERVED_KEY_BYTES_BASE64) || n2.has(Data.RESERVED_KEY_BYTES_ARRAY)) { //byte[] stored in base64 or byte[] as JSON array byte[] bytes = deserializeBytes(n2); d.put(s, bytes); } else if (n2.has(Data.RESERVED_KEY_NDARRAY_TYPE)) { //NDArray d.put(s, deserializeNDArray(n2)); } else if (n2.has(Data.RESERVED_KEY_IMAGE_DATA)) { //Image d.put(s, deserializeImage(n2)); } else if(n2.has(Data.RESERVED_KEY_BB_CY) || n2.has(Data.RESERVED_KEY_BB_X1)){ d.put(s, deserializeBB(n2)); } else if(n2.has(Data.RESERVED_KEY_POINT_COORDS)){ d.put(s, deserializePoint(n2)); } else { //Must be data Data dInner = deserialize(jp, n2); d.put(s, dInner); } } else { throw new UnsupportedOperationException("Type not yet implemented"); } } } return d; }
Example 7
Source File: ComputationGraphConfiguration.java From deeplearning4j with Apache License 2.0 | 4 votes |
/** * Handle {@link WeightInit} and {@link Distribution} from legacy configs in Json format. Copied from handling of {@link Activation} * above. * @return True if all is well and layer iteration shall continue. False else-wise. */ private static void handleLegacyWeightInitFromJson(String json, Layer layer, ObjectMapper mapper, JsonNode vertices) { if (layer instanceof BaseLayer && ((BaseLayer) layer).getWeightInitFn() == null) { String layerName = layer.getLayerName(); try { if (vertices == null) { JsonNode jsonNode = mapper.readTree(json); vertices = jsonNode.get("vertices"); } JsonNode vertexNode = vertices.get(layerName); JsonNode layerVertexNode = vertexNode.get("LayerVertex"); if (layerVertexNode == null || !layerVertexNode.has("layerConf") || !layerVertexNode.get("layerConf").has("layer")) { return; } JsonNode layerWrapperNode = layerVertexNode.get("layerConf").get("layer"); if (layerWrapperNode == null || layerWrapperNode.size() != 1) { return; } JsonNode layerNode = layerWrapperNode.elements().next(); JsonNode weightInit = layerNode.get("weightInit"); //Should only have 1 element: "dense", "output", etc JsonNode distribution = layerNode.get("dist"); Distribution dist = null; if(distribution != null) { dist = mapper.treeToValue(distribution, Distribution.class); } if (weightInit != null) { final IWeightInit wi = WeightInit.valueOf(weightInit.asText()).getWeightInitFunction(dist); ((BaseLayer) layer).setWeightInitFn(wi); } } catch (IOException e) { log.warn("Layer with null ActivationFn field or pre-0.7.2 activation function detected: could not parse JSON", e); } } }