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MLPPTensor3 image api part1.

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Relintai 2023-04-23 13:16:04 +02:00
parent 5d1eb94d27
commit a1b9b67365
2 changed files with 159 additions and 0 deletions
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123
mlpp/lin_alg/mlpp_tensor3.cpp
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@ -1,6 +1,129 @@
#include "mlpp_tensor3.h"
#include "core/io/image.h"
void MLPPTensor3::add_feature_maps_image(const Ref<Image> &p_img, const int p_channels) {
ERR_FAIL_COND(!p_img.is_valid());
Size2i img_size = Size2i(p_img->get_width(), p_img->get_height());
int channel_count = 0;
int channels[4];
if (p_channels & IMAGE_CHANNEL_R) {
channels[channel_count] = 0;
++channel_count;
}
if (p_channels & IMAGE_CHANNEL_G) {
channels[channel_count] = 1;
++channel_count;
}
if (p_channels & IMAGE_CHANNEL_B) {
channels[channel_count] = 2;
++channel_count;
}
if (p_channels & IMAGE_CHANNEL_A) {
channels[channel_count] = 3;
++channel_count;
}
ERR_FAIL_COND(channel_count == 0);
if (unlikely(_size == Size3i())) {
resize(Size3i(img_size.x, img_size.y, channel_count));
}
Size2i fms = feature_map_size();
ERR_FAIL_COND(img_size != fms);
int start_channel = _size.y;
_size.y += channel_count;
resize(_size);
Ref<Image> img = p_img;
img->lock();
for (int y = 0; y < fms.y; ++y) {
for (int x = 0; x < fms.x; ++x) {
Color c = img->get_pixel(x, y);
for (int i = 0; i < channel_count; ++i) {
set_element(y, x, start_channel + i, c[channels[i]]);
}
}
}
img->unlock();
}
Ref<Image> MLPPTensor3::get_feature_map_image(const int p_index_z) {
ERR_FAIL_INDEX_V(p_index_z, _size.z, Ref<Image>());
Ref<Image> image;
image.instance();
if (data_size() == 0) {
return image;
}
PoolByteArray arr;
int fmsi = calculate_feature_map_index(p_index_z);
int fms = feature_map_data_size();
arr.resize(fms);
PoolByteArray::Write w = arr.write();
uint8_t *wptr = w.ptr();
for (int i = 0; i < fms; ++i) {
wptr[i] = static_cast<uint8_t>(_data[fmsi + i] * 255.0);
}
image->create(_size.x, _size.y, false, Image::FORMAT_L8, arr);
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>());
return Ref<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);
}
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::set_feature_map_image(const Ref<Image> &p_img, const int p_index_z, const int p_image_channel) {
ERR_FAIL_INDEX(p_index_z, _size.z);
}
void MLPPTensor3::set_feature_maps_image(const Ref<Image> &p_img, const int p_index_r, const int p_index_g, const int p_index_b, const int p_index_a) {
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::set_from_image(const Ref<Image> &p_img, const int p_channels) {
}
String MLPPTensor3::to_string() {
String str;

36
mlpp/lin_alg/mlpp_tensor3.h
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@ -15,6 +15,8 @@
#include "mlpp_matrix.h"
#include "mlpp_vector.h"
class Image;
class MLPPTensor3 : public Reference {
GDCLASS(MLPPTensor3, Reference);
@ -615,6 +617,38 @@ public:
}
}
public:
//Image api
enum ImageChannels {
IMAGE_CHANNEL_R = 1 << 0,
IMAGE_CHANNEL_G = 1 << 1,
IMAGE_CHANNEL_B = 1 << 2,
IMAGE_CHANNEL_A = 1 << 3,
IMAGE_CHANNEL_NONE = 0,
IMAGE_CHANNEL_RG = IMAGE_CHANNEL_R | IMAGE_CHANNEL_G,
IMAGE_CHANNEL_RGB = IMAGE_CHANNEL_R | IMAGE_CHANNEL_G | IMAGE_CHANNEL_B,
IMAGE_CHANNEL_GB = IMAGE_CHANNEL_G | IMAGE_CHANNEL_B,
IMAGE_CHANNEL_GBA = IMAGE_CHANNEL_G | IMAGE_CHANNEL_B | IMAGE_CHANNEL_A,
IMAGE_CHANNEL_BA = IMAGE_CHANNEL_B | IMAGE_CHANNEL_A,
IMAGE_CHANNEL_RGBA = IMAGE_CHANNEL_R | IMAGE_CHANNEL_G | IMAGE_CHANNEL_B | IMAGE_CHANNEL_A,
};
void add_feature_maps_image(const Ref<Image> &p_img, const int p_channels = IMAGE_CHANNEL_RGBA);
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 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);
void set_from_image(const Ref<Image> &p_img, const int p_channels = IMAGE_CHANNEL_RGBA);
public:
void fill(real_t p_val) {
if (!_data) {
return;
@ -925,4 +959,6 @@ protected:
real_t *_data;
};
VARIANT_ENUM_CAST(MLPPTensor3::ImageChannels);
#endif