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authorpants <niklasjo2004@gmail.com>2026-09-21 14:18:06 -0700
committerpants <niklasjo2004@gmail.com>2026-09-21 14:18:06 -0700
commit83d5ba42f8a98fc0df177efef4333f74a0481f61 (patch)
tree6f1fcff64ec9adb2fc51a7cfcc451eb22a103fb3 /src/image/opencv.cpp
Diffstat (limited to 'src/image/opencv.cpp')
-rw-r--r--src/image/opencv.cpp249
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diff --git a/src/image/opencv.cpp b/src/image/opencv.cpp
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+// Display images inside a terminal
+// Copyright (C) 2023 JustKidding
+//
+// This program is free software: you can redistribute it and/or modify
+// it under the terms of the GNU General Public License as published by
+// the Free Software Foundation, either version 3 of the License, or
+// (at your option) any later version.
+//
+// This program is distributed in the hope that it will be useful,
+// but WITHOUT ANY WARRANTY; without even the implied warranty of
+// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+// GNU General Public License for more details.
+//
+// You should have received a copy of the GNU General Public License
+// along with this program. If not, see <https://www.gnu.org/licenses/>.
+
+#include "opencv.hpp"
+#include "dimensions.hpp"
+#include "flags.hpp"
+#include "terminal.hpp"
+#include "util.hpp"
+
+#include <string_view>
+#include <unordered_set>
+
+#include <opencv2/core/ocl.hpp>
+#include <opencv2/imgcodecs.hpp>
+#include <opencv2/imgproc.hpp>
+
+enum {
+ EXIF_ORIENTATION_2 = 2,
+ EXIF_ORIENTATION_3,
+ EXIF_ORIENTATION_4,
+ EXIF_ORIENTATION_5,
+ EXIF_ORIENTATION_6,
+ EXIF_ORIENTATION_7,
+ EXIF_ORIENTATION_8,
+};
+
+OpencvImage::OpencvImage(std::shared_ptr<Dimensions> new_dims, const std::string &filename, bool in_cache)
+ : path(filename),
+ dims(std::move(new_dims)),
+ max_width(dims->max_wpixels()),
+ max_height(dims->max_hpixels()),
+ in_cache(in_cache)
+{
+ logger = spdlog::get("opencv");
+ image = cv::imread(filename, cv::IMREAD_UNCHANGED);
+
+ if (image.empty()) {
+ logger->warn("unable to read image");
+ throw std::runtime_error("");
+ }
+ logger->info("loading file {}", filename);
+ flags = Flags::instance();
+
+ rotate_image();
+ process_image();
+}
+
+auto OpencvImage::filename() const -> std::string
+{
+ return path.string();
+}
+
+auto OpencvImage::dimensions() const -> const Dimensions &
+{
+ return *dims;
+}
+
+auto OpencvImage::width() const -> int
+{
+ return image.cols;
+}
+
+auto OpencvImage::height() const -> int
+{
+ return image.rows;
+}
+
+auto OpencvImage::size() const -> size_t
+{
+ return _size;
+}
+
+auto OpencvImage::data() const -> const unsigned char *
+{
+ return image.data;
+}
+
+auto OpencvImage::channels() const -> int
+{
+ return image.channels();
+}
+
+void OpencvImage::wayland_processing()
+{
+ if (flags->output != "wayland") {
+ return;
+ }
+}
+
+void OpencvImage::rotate_image()
+{
+ const auto rotation = util::read_exif_rotation(path);
+ if (!rotation.has_value()) {
+ return;
+ }
+ const auto value = rotation.value();
+
+ // kudos https://jdhao.github.io/2019/07/31/image_rotation_exif_info/
+ switch (value) {
+ case EXIF_ORIENTATION_2:
+ cv::flip(image, image, 1);
+ break;
+ case EXIF_ORIENTATION_3:
+ cv::flip(image, image, -1);
+ break;
+ case EXIF_ORIENTATION_4:
+ cv::flip(image, image, 0);
+ break;
+ case EXIF_ORIENTATION_5:
+ cv::rotate(image, image, cv::ROTATE_90_CLOCKWISE);
+ cv::flip(image, image, 1);
+ break;
+ case EXIF_ORIENTATION_6:
+ cv::rotate(image, image, cv::ROTATE_90_CLOCKWISE);
+ break;
+ case EXIF_ORIENTATION_7:
+ cv::rotate(image, image, cv::ROTATE_90_COUNTERCLOCKWISE);
+ cv::flip(image, image, 1);
+ break;
+ case EXIF_ORIENTATION_8:
+ cv::rotate(image, image, cv::ROTATE_90_COUNTERCLOCKWISE);
+ break;
+ default:
+ break;
+ }
+}
+
+// only use opencl if required
+auto OpencvImage::resize_image() -> void
+{
+ if (in_cache) {
+ return;
+ }
+ const auto [new_width, new_height] = get_new_sizes(max_width, max_height, dims->scaler, flags->scale_factor);
+ if (new_width <= 0 && new_height <= 0) {
+ // ensure width and height are pair
+ if (flags->needs_scaling) {
+ const auto curw = width();
+ const auto curh = height();
+ if ((curw % 2) != 0 || (curh % 2) != 0) {
+ resize_image_helper(image, util::round_up(curw, flags->scale_factor),
+ util::round_up(curh, flags->scale_factor));
+ }
+ }
+ return;
+ }
+
+ const auto opencl_ctx = cv::ocl::Context::getDefault();
+ opencl_available = opencl_ctx.ptr() != nullptr;
+
+ if (opencl_available) {
+ logger->debug("OpenCL is available");
+ image.copyTo(uimage);
+ resize_image_helper(uimage, new_width, new_height);
+ uimage.copyTo(image);
+ } else {
+ resize_image_helper(image, new_width, new_height);
+ }
+}
+
+void OpencvImage::resize_image_helper(cv::InputOutputArray &mat, int new_width, int new_height)
+{
+ logger->debug("Resizing image");
+ cv::resize(mat, mat, cv::Size(new_width, new_height), 0, 0, cv::INTER_AREA);
+
+ if (flags->no_cache) {
+ logger->debug("Caching is disabled");
+ return;
+ }
+
+ const auto save_location = util::get_cache_file_save_location(path);
+ try {
+ cv::imwrite(save_location, mat);
+ logger->debug("Saved resized image");
+ } catch (const cv::Exception &ex) {
+ logger->error("Could not save image");
+ }
+}
+
+void OpencvImage::process_image()
+{
+ resize_image();
+ if (flags->origin_center) {
+ const double img_width = static_cast<double>(width()) / dims->terminal->font_width;
+ const double img_height = static_cast<double>(height()) / dims->terminal->font_height;
+ dims->x -= std::floor(img_width / 2);
+ dims->y -= std::floor(img_height / 2);
+ }
+
+ const std::unordered_set<std::string_view> bgra_trifecta = {"x11", "chafa", "wayland"};
+
+ if (image.depth() == CV_16U) {
+ const float alpha = 0.00390625; // 1 / 256
+ image.convertTo(image, CV_8U, alpha);
+ }
+
+ if (image.channels() == 4) {
+ // premultiply alpha
+ image.forEach<cv::Vec4b>([](cv::Vec4b &pix, const int *) {
+ const uint8_t alpha = pix[3];
+ const uint8_t div = 255;
+ pix[0] = (pix[0] * alpha) / div;
+ pix[1] = (pix[1] * alpha) / div;
+ pix[2] = (pix[2] * alpha) / div;
+ });
+ }
+
+#ifdef ENABLE_OPENGL
+ if (flags->use_opengl) {
+ cv::flip(image, image, 0);
+ }
+#endif
+
+ if (image.channels() == 1) {
+ cv::cvtColor(image, image, cv::COLOR_GRAY2BGRA);
+ }
+
+ if (bgra_trifecta.contains(flags->output)) {
+ if (image.channels() == 3) {
+ cv::cvtColor(image, image, cv::COLOR_BGR2BGRA);
+ }
+ } else if (flags->output == "kitty") {
+ if (image.channels() == 4) {
+ cv::cvtColor(image, image, cv::COLOR_BGRA2RGBA);
+ } else {
+ cv::cvtColor(image, image, cv::COLOR_BGR2RGB);
+ }
+ } else if (flags->output == "sixel") {
+ if (image.channels() == 4) {
+ cv::cvtColor(image, image, cv::COLOR_BGRA2RGB);
+ } else {
+ cv::cvtColor(image, image, cv::COLOR_BGR2RGB);
+ }
+ }
+ _size = image.total() * image.elemSize();
+}