class CloudmersiveImageRecognitionApiClient::FaceWithLandmarks
Location of one face in an image
Attributes
Point locations of the bottom and sides of the face (cheeks and chin)
Y coordinate of the bottom side of the face
Point locations of the left eye (the eye closest to the left side of the picture)
Point locations of the left eyebrow (the eyebrow cloesest to the left side of the picture)
X coordinate of the left side of the face
Point locations of the inner outline of the lips
Point locations of the outer outline of the lips
Point locations of the bottom (nostrils) of the nose
Point locations of the nose bridge (the vertical portion of the nose)
Point locations of the right eye (the eye closest to the right side of the picture)
Point locations of the right eyebrow (the eyebrow cloesest to the right side of the picture)
X coordinate of the right side of the face
Y coordinate of the top side of the face
Public Class Methods
Attribute mapping from ruby-style variable name to JSON key.
# File lib/cloudmersive-image-recognition-api-client/models/face_with_landmarks.rb, line 58 def self.attribute_map { :'left_x' => :'LeftX', :'top_y' => :'TopY', :'right_x' => :'RightX', :'bottom_y' => :'BottomY', :'left_eyebrow' => :'LeftEyebrow', :'right_eyebrow' => :'RightEyebrow', :'left_eye' => :'LeftEye', :'right_eye' => :'RightEye', :'bottom_and_sides_of_face' => :'BottomAndSidesOfFace', :'nose_bridge' => :'NoseBridge', :'nose_bottom' => :'NoseBottom', :'lips_inner_outline' => :'LipsInnerOutline', :'lips_outer_outline' => :'LipsOuterOutline' } end
Initializes the object @param [Hash] attributes Model attributes in the form of hash
# File lib/cloudmersive-image-recognition-api-client/models/face_with_landmarks.rb, line 97 def initialize(attributes = {}) return unless attributes.is_a?(Hash) # convert string to symbol for hash key attributes = attributes.each_with_object({}) { |(k, v), h| h[k.to_sym] = v } if attributes.has_key?(:'LeftX') self.left_x = attributes[:'LeftX'] end if attributes.has_key?(:'TopY') self.top_y = attributes[:'TopY'] end if attributes.has_key?(:'RightX') self.right_x = attributes[:'RightX'] end if attributes.has_key?(:'BottomY') self.bottom_y = attributes[:'BottomY'] end if attributes.has_key?(:'LeftEyebrow') if (value = attributes[:'LeftEyebrow']).is_a?(Array) self.left_eyebrow = value end end if attributes.has_key?(:'RightEyebrow') if (value = attributes[:'RightEyebrow']).is_a?(Array) self.right_eyebrow = value end end if attributes.has_key?(:'LeftEye') if (value = attributes[:'LeftEye']).is_a?(Array) self.left_eye = value end end if attributes.has_key?(:'RightEye') if (value = attributes[:'RightEye']).is_a?(Array) self.right_eye = value end end if attributes.has_key?(:'BottomAndSidesOfFace') if (value = attributes[:'BottomAndSidesOfFace']).is_a?(Array) self.bottom_and_sides_of_face = value end end if attributes.has_key?(:'NoseBridge') if (value = attributes[:'NoseBridge']).is_a?(Array) self.nose_bridge = value end end if attributes.has_key?(:'NoseBottom') if (value = attributes[:'NoseBottom']).is_a?(Array) self.nose_bottom = value end end if attributes.has_key?(:'LipsInnerOutline') if (value = attributes[:'LipsInnerOutline']).is_a?(Array) self.lips_inner_outline = value end end if attributes.has_key?(:'LipsOuterOutline') if (value = attributes[:'LipsOuterOutline']).is_a?(Array) self.lips_outer_outline = value end end end
Attribute type mapping.
# File lib/cloudmersive-image-recognition-api-client/models/face_with_landmarks.rb, line 77 def self.swagger_types { :'left_x' => :'Integer', :'top_y' => :'Integer', :'right_x' => :'Integer', :'bottom_y' => :'Integer', :'left_eyebrow' => :'Array<FacePoint>', :'right_eyebrow' => :'Array<FacePoint>', :'left_eye' => :'Array<FacePoint>', :'right_eye' => :'Array<FacePoint>', :'bottom_and_sides_of_face' => :'Array<FacePoint>', :'nose_bridge' => :'Array<FacePoint>', :'nose_bottom' => :'Array<FacePoint>', :'lips_inner_outline' => :'Array<FacePoint>', :'lips_outer_outline' => :'Array<FacePoint>' } end
Public Instance Methods
Checks equality by comparing each attribute. @param [Object] Object to be compared
# File lib/cloudmersive-image-recognition-api-client/models/face_with_landmarks.rb, line 189 def ==(o) return true if self.equal?(o) self.class == o.class && left_x == o.left_x && top_y == o.top_y && right_x == o.right_x && bottom_y == o.bottom_y && left_eyebrow == o.left_eyebrow && right_eyebrow == o.right_eyebrow && left_eye == o.left_eye && right_eye == o.right_eye && bottom_and_sides_of_face == o.bottom_and_sides_of_face && nose_bridge == o.nose_bridge && nose_bottom == o.nose_bottom && lips_inner_outline == o.lips_inner_outline && lips_outer_outline == o.lips_outer_outline end
Deserializes the data based on type @param string type Data type @param string value Value to be deserialized @return [Object] Deserialized data
# File lib/cloudmersive-image-recognition-api-client/models/face_with_landmarks.rb, line 243 def _deserialize(type, value) case type.to_sym when :DateTime DateTime.parse(value) when :Date Date.parse(value) when :String value.to_s when :Integer value.to_i when :Float value.to_f when :BOOLEAN if value.to_s =~ /\A(true|t|yes|y|1)\z/i true else false end when :Object # generic object (usually a Hash), return directly value when /\AArray<(?<inner_type>.+)>\z/ inner_type = Regexp.last_match[:inner_type] value.map { |v| _deserialize(inner_type, v) } when /\AHash<(?<k_type>.+?), (?<v_type>.+)>\z/ k_type = Regexp.last_match[:k_type] v_type = Regexp.last_match[:v_type] {}.tap do |hash| value.each do |k, v| hash[_deserialize(k_type, k)] = _deserialize(v_type, v) end end else # model temp_model = CloudmersiveImageRecognitionApiClient.const_get(type).new temp_model.build_from_hash(value) end end
Outputs non-array value in the form of hash For object, use to_hash. Otherwise, just return the value @param [Object] value Any valid value @return [Hash] Returns the value in the form of hash
# File lib/cloudmersive-image-recognition-api-client/models/face_with_landmarks.rb, line 309 def _to_hash(value) if value.is_a?(Array) value.compact.map { |v| _to_hash(v) } elsif value.is_a?(Hash) {}.tap do |hash| value.each { |k, v| hash[k] = _to_hash(v) } end elsif value.respond_to? :to_hash value.to_hash else value end end
Builds the object from hash @param [Hash] attributes Model attributes in the form of hash @return [Object] Returns the model itself
# File lib/cloudmersive-image-recognition-api-client/models/face_with_landmarks.rb, line 222 def build_from_hash(attributes) return nil unless attributes.is_a?(Hash) self.class.swagger_types.each_pair do |key, type| if type =~ /\AArray<(.*)>/i # check to ensure the input is an array given that the attribute # is documented as an array but the input is not if attributes[self.class.attribute_map[key]].is_a?(Array) self.send("#{key}=", attributes[self.class.attribute_map[key]].map { |v| _deserialize($1, v) }) end elsif !attributes[self.class.attribute_map[key]].nil? self.send("#{key}=", _deserialize(type, attributes[self.class.attribute_map[key]])) end # or else data not found in attributes(hash), not an issue as the data can be optional end self end
@see the `==` method @param [Object] Object to be compared
# File lib/cloudmersive-image-recognition-api-client/models/face_with_landmarks.rb, line 209 def eql?(o) self == o end
Calculates hash code according to all attributes. @return [Fixnum] Hash code
# File lib/cloudmersive-image-recognition-api-client/models/face_with_landmarks.rb, line 215 def hash [left_x, top_y, right_x, bottom_y, left_eyebrow, right_eyebrow, left_eye, right_eye, bottom_and_sides_of_face, nose_bridge, nose_bottom, lips_inner_outline, lips_outer_outline].hash end
Show invalid properties with the reasons. Usually used together with valid? @return Array for valid properties with the reasons
# File lib/cloudmersive-image-recognition-api-client/models/face_with_landmarks.rb, line 176 def list_invalid_properties invalid_properties = Array.new invalid_properties end
Returns the object in the form of hash @return [Hash] Returns the object in the form of hash
# File lib/cloudmersive-image-recognition-api-client/models/face_with_landmarks.rb, line 295 def to_hash hash = {} self.class.attribute_map.each_pair do |attr, param| value = self.send(attr) next if value.nil? hash[param] = _to_hash(value) end hash end
Returns the string representation of the object @return [String] String presentation of the object
# File lib/cloudmersive-image-recognition-api-client/models/face_with_landmarks.rb, line 283 def to_s to_hash.to_s end
Check to see if the all the properties in the model are valid @return true if the model is valid
# File lib/cloudmersive-image-recognition-api-client/models/face_with_landmarks.rb, line 183 def valid? true end