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MLPPTensor3 image api part2.

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Relintai 2023-04-23 14:48:44 +02:00
parent a1b9b67365
commit 56f432ca79
2 changed files with 187 additions and 12 deletions
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195
mlpp/lin_alg/mlpp_tensor3.cpp
View File

@ -93,22 +93,197 @@ Ref<Image> MLPPTensor3::get_feature_map_image(const int p_index_z) {
return image;
}
Ref<Image> MLPPTensor3::get_feature_maps_image(const int p_index_r, const int p_index_g, const int p_index_b, const int p_index_a) {
ERR_FAIL_INDEX_V(p_index_r, _size.z, Ref<Image>());
ERR_FAIL_INDEX_V(p_index_g, _size.z, Ref<Image>());
ERR_FAIL_INDEX_V(p_index_b, _size.z, Ref<Image>());
ERR_FAIL_INDEX_V(p_index_a, _size.z, Ref<Image>());
if (p_index_r != -1) {
ERR_FAIL_INDEX_V(p_index_r, _size.z, Ref<Image>());
}
return Ref<Image>();
if (p_index_g != -1) {
ERR_FAIL_INDEX_V(p_index_g, _size.z, Ref<Image>());
}
if (p_index_b != -1) {
ERR_FAIL_INDEX_V(p_index_b, _size.z, Ref<Image>());
}
if (p_index_a != -1) {
ERR_FAIL_INDEX_V(p_index_a, _size.z, Ref<Image>());
}
Ref<Image> image;
image.instance();
if (data_size() == 0) {
return image;
}
Size2i fms = feature_map_size();
image->create(_size.x, _size.y, false, Image::FORMAT_RGBA8);
image->lock();
for (int y = 0; y < fms.y; ++y) {
for (int x = 0; x < fms.x; ++x) {
Color c;
if (p_index_r != -1) {
c.r = get_element(y, x, p_index_r);
}
if (p_index_g != -1) {
c.g = get_element(y, x, p_index_g);
}
if (p_index_b != -1) {
c.b = get_element(y, x, p_index_b);
}
if (p_index_a != -1) {
c.a = get_element(y, x, p_index_a);
}
image->set_pixel(x, y, c);
}
}
image->unlock();
return image;
}
void MLPPTensor3::get_feature_map_into_image(Ref<Image> p_target, const int p_index_z, const int p_target_channels) const {
ERR_FAIL_INDEX(p_index_z, _size.z);
ERR_FAIL_COND(!p_target.is_valid());
int channel_count = 0;
int channels[4];
if (p_target_channels & IMAGE_CHANNEL_R) {
channels[channel_count] = 0;
++channel_count;
}
if (p_target_channels & IMAGE_CHANNEL_G) {
channels[channel_count] = 1;
++channel_count;
}
if (p_target_channels & IMAGE_CHANNEL_B) {
channels[channel_count] = 2;
++channel_count;
}
if (p_target_channels & IMAGE_CHANNEL_A) {
channels[channel_count] = 3;
++channel_count;
}
ERR_FAIL_COND(channel_count == 0);
if (data_size() == 0) {
p_target->clear();
return;
}
Size2i img_size = Size2i(p_target->get_width(), p_target->get_height());
Size2i fms = feature_map_size();
if (img_size != fms) {
bool mip_maps = p_target->has_mipmaps();
p_target->resize(fms.x, fms.y, Image::INTERPOLATE_NEAREST);
if (p_target->has_mipmaps() != mip_maps) {
if (mip_maps) {
p_target->generate_mipmaps();
} else {
p_target->clear_mipmaps();
}
}
}
p_target->lock();
for (int y = 0; y < fms.y; ++y) {
for (int x = 0; x < fms.x; ++x) {
Color c;
float e = get_element(y, x, p_index_z);
for (int i = 0; i < channel_count; ++i) {
c[channels[i]] = e;
}
p_target->set_pixel(x, y, c);
}
}
p_target->unlock();
}
void MLPPTensor3::get_feature_map_into_image(Ref<Image> p_target, const int p_index_r, const int p_index_g, const int p_index_b, const int p_index_a) const {
ERR_FAIL_INDEX(p_index_r, _size.z);
ERR_FAIL_INDEX(p_index_g, _size.z);
ERR_FAIL_INDEX(p_index_b, _size.z);
ERR_FAIL_INDEX(p_index_a, _size.z);
void MLPPTensor3::get_feature_maps_into_image(Ref<Image> p_target, const int p_index_r, const int p_index_g, const int p_index_b, const int p_index_a) const {
ERR_FAIL_COND(!p_target.is_valid());
if (p_index_r != -1) {
ERR_FAIL_INDEX(p_index_r, _size.z);
}
if (p_index_g != -1) {
ERR_FAIL_INDEX(p_index_g, _size.z);
}
if (p_index_b != -1) {
ERR_FAIL_INDEX(p_index_b, _size.z);
}
if (p_index_a != -1) {
ERR_FAIL_INDEX(p_index_a, _size.z);
}
if (data_size() == 0) {
p_target->clear();
return;
}
Size2i img_size = Size2i(p_target->get_width(), p_target->get_height());
Size2i fms = feature_map_size();
if (img_size != fms) {
bool mip_maps = p_target->has_mipmaps();
p_target->resize(fms.x, fms.y, Image::INTERPOLATE_NEAREST);
if (p_target->has_mipmaps() != mip_maps) {
if (mip_maps) {
p_target->generate_mipmaps();
} else {
p_target->clear_mipmaps();
}
}
}
p_target->lock();
for (int y = 0; y < fms.y; ++y) {
for (int x = 0; x < fms.x; ++x) {
Color c;
if (p_index_r != -1) {
c.r = get_element(y, x, p_index_r);
}
if (p_index_g != -1) {
c.g = get_element(y, x, p_index_g);
}
if (p_index_b != -1) {
c.b = get_element(y, x, p_index_b);
}
if (p_index_a != -1) {
c.a = get_element(y, x, p_index_a);
}
p_target->set_pixel(x, y, c);
}
}
p_target->unlock();
}
void MLPPTensor3::set_feature_map_image(const Ref<Image> &p_img, const int p_index_z, const int p_image_channel) {

4
mlpp/lin_alg/mlpp_tensor3.h
View File

@ -640,8 +640,8 @@ public:
Ref<Image> get_feature_map_image(const int p_index_z);
Ref<Image> get_feature_maps_image(const int p_index_r = -1, const int p_index_g = -1, const int p_index_b = -1, const int p_index_a = -1);
void get_feature_map_into_image(Ref<Image> p_target, const int p_index_z, const int p_target_channels = IMAGE_CHANNEL_RGBA) const;
void get_feature_map_into_image(Ref<Image> p_target, const int p_index_r = -1, const int p_index_g = -1, const int p_index_b = -1, const int p_index_a = -1) const;
void get_feature_map_into_image(Ref<Image> p_target, const int p_index_z, const int p_target_channels = IMAGE_CHANNEL_RGB) const;
void get_feature_maps_into_image(Ref<Image> p_target, const int p_index_r = -1, const int p_index_g = -1, const int p_index_b = -1, const int p_index_a = -1) const;
void set_feature_map_image(const Ref<Image> &p_img, const int p_index_z, const int p_image_channel = IMAGE_CHANNEL_R);
void set_feature_maps_image(const Ref<Image> &p_img, const int p_index_r = -1, const int p_index_g = -1, const int p_index_b = -1, const int p_index_a = -1);