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https://git.mirrors.martin98.com/https://github.com/google/draco
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167 lines
5.7 KiB
C++
167 lines
5.7 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_integer_attribute_decoder.h"
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#include "compression/attributes/prediction_schemes/prediction_scheme_decoder_factory.h"
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#include "compression/attributes/prediction_schemes/prediction_scheme_wrap_transform.h"
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#include "core/symbol_decoding.h"
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namespace draco {
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SequentialIntegerAttributeDecoder::SequentialIntegerAttributeDecoder() {}
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bool SequentialIntegerAttributeDecoder::Initialize(PointCloudDecoder *decoder,
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int attribute_id) {
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if (!SequentialAttributeDecoder::Initialize(decoder, attribute_id))
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return false;
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return true;
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}
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bool SequentialIntegerAttributeDecoder::DecodeValues(
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const std::vector<PointIndex> &point_ids, DecoderBuffer *in_buffer) {
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const int32_t num_values = point_ids.size();
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// Decode prediction scheme.
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int8_t prediction_scheme_method;
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in_buffer->Decode(&prediction_scheme_method);
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if (prediction_scheme_method != PREDICTION_NONE) {
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int8_t prediction_transform_type;
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in_buffer->Decode(&prediction_transform_type);
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prediction_scheme_ = CreateIntPredictionScheme(
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static_cast<PredictionSchemeMethod>(prediction_scheme_method),
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static_cast<PredictionSchemeTransformType>(prediction_transform_type));
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}
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if (prediction_scheme_) {
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if (!InitPredictionScheme(prediction_scheme_.get()))
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return false;
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}
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if (!DecodeIntegerValues(point_ids, in_buffer))
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return false;
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if (!StoreValues(num_values))
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return false;
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return true;
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}
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std::unique_ptr<PredictionSchemeTypedInterface<int32_t>>
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SequentialIntegerAttributeDecoder::CreateIntPredictionScheme(
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PredictionSchemeMethod method,
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PredictionSchemeTransformType transform_type) {
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if (transform_type != PREDICTION_TRANSFORM_WRAP)
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return nullptr; // For now we support only wrap transform.
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return CreatePredictionSchemeForDecoder<
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int32_t, PredictionSchemeWrapTransform<int32_t>>(method, attribute_id(),
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decoder());
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}
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bool SequentialIntegerAttributeDecoder::DecodeIntegerValues(
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const std::vector<PointIndex> &point_ids, DecoderBuffer *in_buffer) {
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const int num_components = GetNumValueComponents();
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const int32_t num_values = point_ids.size();
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values_.resize(num_values * num_components);
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uint8_t compressed;
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if (!in_buffer->Decode(&compressed))
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return false;
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if (compressed > 0) {
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// Decode compressed values.
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if (!DecodeSymbols(num_values * num_components, num_components, in_buffer,
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reinterpret_cast<uint32_t *>(values_.data())))
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return false;
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} else {
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// Decode the integer data directly.
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// Get the number of bytes for a given entry.
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uint8_t num_bytes;
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if (!in_buffer->Decode(&num_bytes))
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return false;
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if (num_bytes == sizeof(decltype(values_)::value_type)) {
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if (!in_buffer->Decode(values_.data(), sizeof(int32_t) * values_.size()))
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return false;
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} else {
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for (int i = 0; i < values_.size(); ++i) {
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in_buffer->Decode(&values_[i], num_bytes);
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}
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}
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}
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if (prediction_scheme_ == nullptr ||
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!prediction_scheme_->AreCorrectionsPositive()) {
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// Convert the values back to the original signed format.
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ConvertSymbolsToSignedInts(
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reinterpret_cast<const uint32_t *>(values_.data()), values_.size(),
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&values_[0]);
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}
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// If the data was encoded with a prediction scheme, we must revert it.
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if (prediction_scheme_) {
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if (!prediction_scheme_->DecodePredictionData(in_buffer))
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return false;
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if (!prediction_scheme_->Decode(values_.data(), &values_[0], values_.size(),
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num_components, point_ids.data())) {
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return false;
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}
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}
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return true;
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}
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bool SequentialIntegerAttributeDecoder::StoreValues(uint32_t num_values) {
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switch (attribute()->data_type()) {
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case DT_UINT8:
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StoreTypedValues<uint8_t>(num_values);
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break;
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case DT_INT8:
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StoreTypedValues<int8_t>(num_values);
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break;
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case DT_UINT16:
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StoreTypedValues<uint16_t>(num_values);
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break;
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case DT_INT16:
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StoreTypedValues<int16_t>(num_values);
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break;
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case DT_UINT32:
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StoreTypedValues<uint32_t>(num_values);
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break;
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case DT_INT32:
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StoreTypedValues<int32_t>(num_values);
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break;
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default:
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return false;
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}
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return true;
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}
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template <typename AttributeTypeT>
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void SequentialIntegerAttributeDecoder::StoreTypedValues(uint32_t num_values) {
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const int num_components = attribute()->components_count();
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const int entry_size = sizeof(AttributeTypeT) * num_components;
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const std::unique_ptr<AttributeTypeT[]> att_val(
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new AttributeTypeT[num_components]);
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int val_id = 0;
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int out_byte_pos = 0;
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for (int i = 0; i < num_values; ++i) {
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for (int c = 0; c < num_components; ++c) {
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const AttributeTypeT value =
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static_cast<AttributeTypeT>(values_[val_id++]);
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att_val[c] = value;
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}
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// Store the integer value into the attribute buffer.
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attribute()->buffer()->Write(out_byte_pos, att_val.get(), entry_size);
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out_byte_pos += entry_size;
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}
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}
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} // namespace draco
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