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https://git.mirrors.martin98.com/https://github.com/google/draco
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116 lines
4.2 KiB
C++
116 lines
4.2 KiB
C++
// Copyright 2016 The Draco Authors.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//
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#include "compression/attributes/sequential_attribute_encoder.h"
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namespace draco {
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SequentialAttributeEncoder::SequentialAttributeEncoder()
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: encoder_(nullptr),
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attribute_(nullptr),
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attribute_id_(-1),
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is_parent_encoder_(false) {}
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bool SequentialAttributeEncoder::Initialize(PointCloudEncoder *encoder,
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int attribute_id) {
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encoder_ = encoder;
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attribute_ = encoder_->point_cloud()->attribute(attribute_id);
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attribute_id_ = attribute_id;
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return true;
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}
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bool SequentialAttributeEncoder::InitializeStandalone(
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PointAttribute *attribute) {
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attribute_ = attribute;
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attribute_id_ = -1;
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return true;
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}
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bool SequentialAttributeEncoder::Encode(
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const std::vector<PointIndex> &point_ids, EncoderBuffer *out_buffer) {
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if (!EncodeValues(point_ids, out_buffer))
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return false;
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if (is_parent_encoder_ && IsLossyEncoder()) {
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if (!PrepareLossyAttributeData())
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return false;
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}
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return true;
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}
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bool SequentialAttributeEncoder::EncodeValues(
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const std::vector<PointIndex> &point_ids, EncoderBuffer *out_buffer) {
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const int entry_size = attribute_->byte_stride();
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const std::unique_ptr<uint8_t[]> value_data_ptr(new uint8_t[entry_size]);
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uint8_t *const value_data = value_data_ptr.get();
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// Encode all attribute values in their native raw format.
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for (uint32_t i = 0; i < point_ids.size(); ++i) {
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const AttributeValueIndex entry_id = attribute_->mapped_index(point_ids[i]);
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attribute_->GetValue(entry_id, value_data);
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out_buffer->Encode(value_data, entry_size);
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}
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return true;
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}
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void SequentialAttributeEncoder::MarkParentAttribute() {
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is_parent_encoder_ = true;
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if (IsLossyEncoder() && encoded_lossy_attribute_data_ == nullptr) {
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// Prepare a new attribute that is going to store encoded lossy attribute
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// data that can be used by other attribute encoders. The attribute type,
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// size and other properties are equivalent to the original attribute, but
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// the stored values will be different, representing the data that is
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// going to be used by the decoder.
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GeometryAttribute va;
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va.Init(attribute_->attribute_type(), nullptr,
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attribute_->components_count(), attribute_->data_type(),
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attribute_->normalized(), attribute_->byte_stride(),
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attribute_->byte_offset());
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encoded_lossy_attribute_data_ =
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std::unique_ptr<PointAttribute>(new PointAttribute(va));
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encoded_lossy_attribute_data_->Reset(attribute_->size());
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// Set the correct point to value entry mapping.
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if (attribute_->is_mapping_identity()) {
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encoded_lossy_attribute_data_->SetIdentityMapping();
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} else {
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const int32_t num_points = encoder_->point_cloud()->num_points();
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encoded_lossy_attribute_data_->SetExplicitMapping(num_points);
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for (PointIndex i(0); i < num_points; ++i) {
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encoded_lossy_attribute_data_->SetPointMapEntry(
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i, attribute_->mapped_index(i));
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}
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}
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}
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}
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bool SequentialAttributeEncoder::InitPredictionScheme(
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PredictionSchemeInterface *ps) {
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for (int i = 0; i < ps->GetNumParentAttributes(); ++i) {
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const int att_id = encoder_->point_cloud()->GetNamedAttributeId(
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ps->GetParentAttributeType(i));
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if (att_id == -1)
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return false; // Requested attribute does not exist.
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parent_attributes_.push_back(att_id);
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encoder_->MarkParentAttribute(att_id);
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if (!ps->SetParentAttribute(encoder_->GetLossyAttributeData(att_id)))
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return false;
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}
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return true;
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}
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bool SequentialAttributeEncoder::PrepareLossyAttributeData() {
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DCHECK(false); // Method not implemented for a lossy encoder.
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return false;
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}
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} // namespace draco
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