Merge "Quit limiting gesture search space by distance."
This commit is contained in:
commit
627fcc6c92
6 changed files with 34 additions and 59 deletions
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@ -24,9 +24,6 @@ const float ProximityInfoParams::VERTICAL_SWEET_SPOT_SCALE = 1.0f;
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const float ProximityInfoParams::VERTICAL_SWEET_SPOT_SCALE_G = 0.5f;
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/* Per method constants */
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// Used by ProximityInfoStateUtils::initGeometricDistanceInfos()
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const float ProximityInfoParams::NEAR_KEY_NORMALIZED_SQUARED_THRESHOLD = 4.0f;
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// Used by ProximityInfoStateUtils::updateNearKeysDistances()
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const float ProximityInfoParams::NEAR_KEY_THRESHOLD_FOR_DISTANCE = 2.0f;
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@ -50,7 +47,7 @@ const int ProximityInfoParams::NUM_POINTS_FOR_SPEED_CALCULATION = 2;
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const int ProximityInfoParams::LAST_POINT_SKIP_DISTANCE_SCALE = 4;
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// Used by ProximityInfoStateUtils::updateAlignPointProbabilities()
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const float ProximityInfoParams::MIN_PROBABILITY = 0.000001f;
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const float ProximityInfoParams::MIN_PROBABILITY = 0.000005f;
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const float ProximityInfoParams::MAX_SKIP_PROBABILITY = 0.95f;
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const float ProximityInfoParams::SKIP_FIRST_POINT_PROBABILITY = 0.01f;
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const float ProximityInfoParams::SKIP_LAST_POINT_PROBABILITY = 0.1f;
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@ -28,9 +28,6 @@ class ProximityInfoParams {
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static const float VERTICAL_SWEET_SPOT_SCALE;
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static const float VERTICAL_SWEET_SPOT_SCALE_G;
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// Used by ProximityInfoStateUtils::initGeometricDistanceInfos()
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static const float NEAR_KEY_NORMALIZED_SQUARED_THRESHOLD;
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// Used by ProximityInfoStateUtils::updateNearKeysDistances()
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static const float NEAR_KEY_THRESHOLD_FOR_DISTANCE;
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@ -91,7 +91,6 @@ void ProximityInfoState::initInputParams(const int pointerId, const float maxPoi
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mSampledInputIndice.clear();
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mSampledLengthCache.clear();
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mSampledNormalizedSquaredLengthCache.clear();
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mSampledNearKeySets.clear();
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mSampledSearchKeySets.clear();
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mSpeedRates.clear();
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mBeelineSpeedPercentiles.clear();
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@ -126,18 +125,17 @@ void ProximityInfoState::initInputParams(const int pointerId, const float maxPoi
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if (mSampledInputSize > 0) {
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ProximityInfoStateUtils::initGeometricDistanceInfos(mProximityInfo, mSampledInputSize,
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lastSavedInputSize, isGeometric, &mSampledInputXs, &mSampledInputYs,
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&mSampledNearKeySets, &mSampledNormalizedSquaredLengthCache);
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&mSampledNormalizedSquaredLengthCache);
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if (isGeometric) {
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// updates probabilities of skipping or mapping each key for all points.
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ProximityInfoStateUtils::updateAlignPointProbabilities(
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mMaxPointToKeyLength, mProximityInfo->getMostCommonKeyWidth(),
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mProximityInfo->getKeyCount(), lastSavedInputSize, mSampledInputSize,
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&mSampledInputXs, &mSampledInputYs, &mSpeedRates, &mSampledLengthCache,
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&mSampledNormalizedSquaredLengthCache, &mSampledNearKeySets,
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mProximityInfo, &mCharProbabilities);
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&mSampledNormalizedSquaredLengthCache, mProximityInfo, &mCharProbabilities);
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ProximityInfoStateUtils::updateSampledSearchKeySets(mProximityInfo,
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mSampledInputSize, lastSavedInputSize, &mSampledLengthCache,
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&mSampledNearKeySets, &mSampledSearchKeySets,
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&mCharProbabilities, &mSampledSearchKeySets,
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&mSampledSearchKeyVectors);
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mMostProbableStringProbability = ProximityInfoStateUtils::getMostProbableString(
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mProximityInfo, mSampledInputSize, &mCharProbabilities, mMostProbableString);
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@ -50,9 +50,9 @@ class ProximityInfoState {
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mSampledInputXs(), mSampledInputYs(), mSampledTimes(), mSampledInputIndice(),
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mSampledLengthCache(), mBeelineSpeedPercentiles(),
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mSampledNormalizedSquaredLengthCache(), mSpeedRates(), mDirections(),
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mCharProbabilities(), mSampledNearKeySets(), mSampledSearchKeySets(),
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mSampledSearchKeyVectors(), mTouchPositionCorrectionEnabled(false),
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mSampledInputSize(0), mMostProbableStringProbability(0.0f) {
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mCharProbabilities(), mSampledSearchKeySets(), mSampledSearchKeyVectors(),
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mTouchPositionCorrectionEnabled(false), mSampledInputSize(0),
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mMostProbableStringProbability(0.0f) {
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memset(mInputProximities, 0, sizeof(mInputProximities));
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memset(mPrimaryInputWord, 0, sizeof(mPrimaryInputWord));
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memset(mMostProbableString, 0, sizeof(mMostProbableString));
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@ -216,10 +216,6 @@ class ProximityInfoState {
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std::vector<float> mDirections;
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// probabilities of skipping or mapping to a key for each point.
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std::vector<hash_map_compat<int, float> > mCharProbabilities;
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// The vector for the key code set which holds nearby keys for each sampled input point
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// 1. Used to calculate the probability of the key
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// 2. Used to calculate mSampledSearchKeySets
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std::vector<ProximityInfoStateUtils::NearKeycodesSet> mSampledNearKeySets;
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// The vector for the key code set which holds nearby keys of some trailing sampled input points
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// for each sampled input point. These nearby keys contain the next characters which can be in
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// the dictionary. Specifically, currently we are looking for keys nearby trailing sampled
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@ -188,13 +188,10 @@ namespace latinime {
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const int lastSavedInputSize, const bool isGeometric,
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const std::vector<int> *const sampledInputXs,
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const std::vector<int> *const sampledInputYs,
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std::vector<NearKeycodesSet> *sampledNearKeySets,
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std::vector<float> *sampledNormalizedSquaredLengthCache) {
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sampledNearKeySets->resize(sampledInputSize);
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const int keyCount = proximityInfo->getKeyCount();
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sampledNormalizedSquaredLengthCache->resize(sampledInputSize * keyCount);
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for (int i = lastSavedInputSize; i < sampledInputSize; ++i) {
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(*sampledNearKeySets)[i].reset();
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for (int k = 0; k < keyCount; ++k) {
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const int index = i * keyCount + k;
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const int x = (*sampledInputXs)[i];
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@ -203,10 +200,6 @@ namespace latinime {
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proximityInfo->getNormalizedSquaredDistanceFromCenterFloatG(
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k, x, y, isGeometric);
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(*sampledNormalizedSquaredLengthCache)[index] = normalizedSquaredDistance;
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if (normalizedSquaredDistance
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< ProximityInfoParams::NEAR_KEY_NORMALIZED_SQUARED_THRESHOLD) {
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(*sampledNearKeySets)[i][k] = true;
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}
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}
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}
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}
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@ -626,7 +619,6 @@ namespace latinime {
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const std::vector<float> *const sampledSpeedRates,
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const std::vector<int> *const sampledLengthCache,
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const std::vector<float> *const sampledNormalizedSquaredLengthCache,
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std::vector<NearKeycodesSet> *sampledNearKeySets,
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const ProximityInfo *const proximityInfo,
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std::vector<hash_map_compat<int, float> > *charProbabilities) {
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charProbabilities->resize(sampledInputSize);
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@ -643,14 +635,12 @@ namespace latinime {
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float nearestKeyDistance = static_cast<float>(MAX_VALUE_FOR_WEIGHTING);
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for (int j = 0; j < keyCount; ++j) {
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if ((*sampledNearKeySets)[i].test(j)) {
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const float distance = getPointToKeyByIdLength(
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maxPointToKeyLength, sampledNormalizedSquaredLengthCache, keyCount, i, j);
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if (distance < nearestKeyDistance) {
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nearestKeyDistance = distance;
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}
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}
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}
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if (i == 0) {
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skipProbability *= std::min(1.0f,
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@ -744,18 +734,15 @@ namespace latinime {
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// Summing up probability densities of all near keys.
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float sumOfProbabilityDensities = 0.0f;
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for (int j = 0; j < keyCount; ++j) {
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if ((*sampledNearKeySets)[i].test(j)) {
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sumOfProbabilityDensities += distribution.getProbabilityDensity(
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proximityInfo->getKeyCenterXOfKeyIdG(j,
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NOT_A_COORDINATE /* referencePointX */, true /* isGeometric */),
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proximityInfo->getKeyCenterYOfKeyIdG(j,
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NOT_A_COORDINATE /* referencePointY */, true /* isGeometric */));
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}
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}
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// Split the probability of an input point to keys that are close to the input point.
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for (int j = 0; j < keyCount; ++j) {
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if ((*sampledNearKeySets)[i].test(j)) {
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const float probabilityDensity = distribution.getProbabilityDensity(
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proximityInfo->getKeyCenterXOfKeyIdG(j,
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NOT_A_COORDINATE /* referencePointX */, true /* isGeometric */),
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@ -766,7 +753,6 @@ namespace latinime {
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(*charProbabilities)[i][j] = probability;
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}
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}
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}
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if (DEBUG_POINTS_PROBABILITY) {
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for (int i = 0; i < sampledInputSize; ++i) {
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@ -820,10 +806,9 @@ namespace latinime {
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for (int j = 0; j < keyCount; ++j) {
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hash_map_compat<int, float>::iterator it = (*charProbabilities)[i].find(j);
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if (it == (*charProbabilities)[i].end()){
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(*sampledNearKeySets)[i].reset(j);
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continue;
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} else if(it->second < ProximityInfoParams::MIN_PROBABILITY) {
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// Erases from near keys vector because it has very low probability.
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(*sampledNearKeySets)[i].reset(j);
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(*charProbabilities)[i].erase(j);
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} else {
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it->second = -logf(it->second);
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@ -835,9 +820,8 @@ namespace latinime {
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/* static */ void ProximityInfoStateUtils::updateSampledSearchKeySets(
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const ProximityInfo *const proximityInfo, const int sampledInputSize,
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const int lastSavedInputSize,
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const std::vector<int> *const sampledLengthCache,
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const std::vector<NearKeycodesSet> *const sampledNearKeySets,
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const int lastSavedInputSize, const std::vector<int> *const sampledLengthCache,
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const std::vector<hash_map_compat<int, float> > *const charProbabilities,
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std::vector<NearKeycodesSet> *sampledSearchKeySets,
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std::vector<std::vector<int> > *sampledSearchKeyVectors) {
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sampledSearchKeySets->resize(sampledInputSize);
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@ -854,7 +838,12 @@ namespace latinime {
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if ((*sampledLengthCache)[j] - (*sampledLengthCache)[i] >= readForwordLength) {
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break;
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}
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(*sampledSearchKeySets)[i] |= (*sampledNearKeySets)[j];
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for(const auto& charProbability : charProbabilities->at(j)) {
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if (charProbability.first == NOT_AN_INDEX) {
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continue;
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}
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(*sampledSearchKeySets)[i].set(charProbability.first);
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}
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}
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}
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const int keyCount = proximityInfo->getKeyCount();
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@ -71,13 +71,12 @@ class ProximityInfoStateUtils {
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const std::vector<float> *const sampledSpeedRates,
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const std::vector<int> *const sampledLengthCache,
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const std::vector<float> *const sampledNormalizedSquaredLengthCache,
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std::vector<NearKeycodesSet> *sampledNearKeySets,
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const ProximityInfo *const proximityInfo,
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std::vector<hash_map_compat<int, float> > *charProbabilities);
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static void updateSampledSearchKeySets(const ProximityInfo *const proximityInfo,
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const int sampledInputSize, const int lastSavedInputSize,
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const std::vector<int> *const sampledLengthCache,
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const std::vector<NearKeycodesSet> *const sampledNearKeySets,
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const std::vector<hash_map_compat<int, float> > *const charProbabilities,
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std::vector<NearKeycodesSet> *sampledSearchKeySets,
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std::vector<std::vector<int> > *sampledSearchKeyVectors);
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static float getPointToKeyByIdLength(const float maxPointToKeyLength,
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@ -87,7 +86,6 @@ class ProximityInfoStateUtils {
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const int sampledInputSize, const int lastSavedInputSize, const bool isGeometric,
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const std::vector<int> *const sampledInputXs,
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const std::vector<int> *const sampledInputYs,
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std::vector<NearKeycodesSet> *sampledNearKeySets,
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std::vector<float> *sampledNormalizedSquaredLengthCache);
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static void initPrimaryInputWord(const int inputSize, const int *const inputProximities,
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int *primaryInputWord);
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