tinyexr is a small, single header-only library to load and save OpenEXR (.exr) images.
tinyexr is written in portable C++ (no library dependency except for STL), thus tinyexr is good to embed into your application.
To use tinyexr, simply copy tinyexr.h, miniz.c and miniz.h(for zlib. You can use system-installed zlib instead of miniz, or the zlib implementation included in stb_image[_write].h. Controlled with TINYEXR_USE_MINIZ and TINYEXR_USE_STB_ZLIB compile flags) into your project.
TinyEXR does not use C++ exception.
TinyEXR now does not use assert from v1.0.4(2023/06/04), except for miniz's assert.
(We plan to use wuff's zlib for better security and performance)
TinyEXR is fuzz tested and currently no security issues(No seg fault for any malcious/corrupted input EXR data) as of v1.0.7.
Current status of tinyexr is:
- OpenEXR v1 image
- Scanline format
- Tiled format
- Tile format with no LoD (load).
- Tile format with LoD (load).
- Tile format with no LoD (save).
- Tile format with LoD (save).
- Custom attributes
- OpenEXR v2 image
- Multipart format
- Load multi-part image
- Save multi-part image
- Load multi-part deep image
- Save multi-part deep image
- Multipart format
- OpenEXR v2 deep image
- Loading scanline + ZIPS + HALF or FLOAT pixel type.
- Compression
- NONE
- RLE
- ZIP
- ZIPS
- PIZ
- ZFP (tinyexr extension)
- B44?
- B44A?
- PIX24?
- DWA (not planned, patent encumbered)
- Line order.
- Increasing, decreasing (load)
- Random?
- Increasing (save)
- decreasing (save)
- Pixel format (UINT, FLOAT).
- UINT, FLOAT (load)
- UINT, FLOAT (deep load)
- UINT, FLOAT (save)
- UINT, FLOAT (deep save)
- Support for big endian machine.
- Loading scanline image
- Saving scanline image
- Loading multi-part channel EXR (not tested)
- Saving multi-part channel EXR (not tested)
- Loading deep image
- Saving deep image
- Optimization
- C++11 thread loading
- C++11 thread saving
- ISPC?
- OpenMP multi-threading in EXR loading.
- OpenMP multi-threading in EXR saving.
- OpenMP multi-threading in deep image loading.
- OpenMP multi-threading in deep image saving.
- C interface.
- You can easily write language bindings (e.g. golang)
- x86-64
- Windows 7 or later
- Linux(posix) system
- macOS
- AARCH64
- aarch64 linux(e.g. Raspberry Pi)
- Android
- iOS
- macOS
- RISC-V(Should work)
- Big endian machine(not maintained, but should work)
- SPARC, PowerPC, ...
- WebAssembly(JavaScript)
- Loader only(See
)
- Loader only(See
- Python binding
- Loader only https://pypi.org/project/pytinyexr/
- C++ compiler(C++11 recommended. C++03 may work)
- Godot. Multi-platform 2D and 3D game engine https://godotengine.org/
- Filament. PBR engine(used in a converter tool). https://github.com/google/filament
- PyEXR. Loading OpenEXR (.exr) images using Python. https://github.com/ialhashim/PyEXR
- The-Forge. The Forge Cross-Platform Rendering Framework PC, Linux, Ray Tracing, macOS / iOS, Android, XBOX, PS4 https://github.com/ConfettiFX/The-Forge
- psdr-cuda. Path-space differentiable renderer. https://github.com/uci-rendering/psdr-cuda
- Studying Microfacets BSDFs https://virtualgonio.pages.xlim.fr/
- Your project here!
- mallie https://github.com/lighttransport/mallie
- Cinder 0.9.0 https://libcinder.org/notes/v0.9.0
- Piccante (develop branch) http://piccantelib.net/
- Your project here!
- examples/deepview/ Deep image view
- examples/rgbe2exr/ .hdr to EXR converter
- examples/exr2rgbe/ EXR to .hdr converter
- examples/ldr2exr/ LDR to EXR converter
- examples/exr2ldr/ EXR to LDR converter
- examples/exr2fptiff/ EXR to 32bit floating point TIFF converter
- for 32bit floating point TIFF to EXR convert, see https://github.com/syoyo/tinydngloader/tree/release/examples/fptiff2exr
- examples/cube2longlat/ Cubemap to longlat (equirectangler) converter
- experimental/js/ JavaScript port using Emscripten
NOTE: API is still subject to change. See the source code for details.
Include tinyexr.h with TINYEXR_IMPLEMENTATION flag (do this only for one .cc file).
//Please include your own zlib-compatible API header before
//including `tinyexr.h` when you disable `TINYEXR_USE_MINIZ`
//#define TINYEXR_USE_MINIZ 0
//#include "zlib.h"
//Or, if your project uses `stb_image[_write].h`, use their
//zlib implementation:
//#define TINYEXR_USE_STB_ZLIB 1
#define TINYEXR_IMPLEMENTATION
#include "tinyexr.h"TINYEXR_USE_MINIZUse miniz (default = 1). Please includezlib.hheader beforetinyexr.hif you disable miniz support(e.g. use system's zlib).TINYEXR_USE_STB_ZLIBUse zlib fromstb_image[_write].hinstead of miniz or the system's zlib (default = 0).TINYEXR_USE_PIZEnable PIZ compression support (default = 1)TINYEXR_USE_ZFPEnable ZFP compression supoort (TinyEXR extension, default = 0)TINYEXR_USE_THREADEnable threaded loading using C++11 thread (Requires C++11 compiler, default = 0)TINYEXR_USE_OPENMPEnable OpenMP threading support (default = 1 if_OPENMPis defined)- Use
TINYEXR_USE_OPENMP=0to force disable OpenMP code path even if OpenMP is available/enabled in the compiler.
- Use
const char* input = "asakusa.exr";
float* out; // width * height * RGBA
int width;
int height;
const char* err = NULL; // or nullptr in C++11
int ret = LoadEXR(&out, &width, &height, input, &err);
if (ret != TINYEXR_SUCCESS) {
if (err) {
fprintf(stderr, "ERR : %s\n", err);
FreeEXRErrorMessage(err); // release memory of error message.
}
} else {
...
free(out); // release memory of image data
}
If you want to read EXR image with layer info (channel has a name with delimiter .), please use LoadEXRWithLayer API.
You need to know layer name in advance (e.g. through EXRLayers API).
const char* input = ...;
const char* layer_name = "diffuse"; // or use EXRLayers to get list of layer names in .exr
float* out; // width * height * RGBA
int width;
int height;
const char* err = NULL; // or nullptr in C++11
// will read `diffuse.R`, `diffuse.G`, `diffuse.B`, (`diffuse.A`) channels
int ret = LoadEXRWithLayer(&out, &width, &height, input, layer_name, &err);
if (ret != TINYEXR_SUCCESS) {
if (err) {
fprintf(stderr, "ERR : %s\n", err);
FreeEXRErrorMessage(err); // release memory of error message.
}
} else {
...
free(out); // release memory of image data
}
Scanline and tiled format are supported.
// 1. Read EXR version.
EXRVersion exr_version;
int ret = ParseEXRVersionFromFile(&exr_version, argv[1]);
if (ret != 0) {
fprintf(stderr, "Invalid EXR file: %s\n", argv[1]);
return -1;
}
if (exr_version.multipart) {
// must be multipart flag is false.
return -1;
}
// 2. Read EXR header
EXRHeader exr_header;
InitEXRHeader(&exr_header);
const char* err = NULL; // or `nullptr` in C++11 or later.
ret = ParseEXRHeaderFromFile(&exr_header, &exr_version, argv[1], &err);
if (ret != 0) {
fprintf(stderr, "Parse EXR err: %s\n", err);
FreeEXRErrorMessage(err); // free's buffer for an error message
return ret;
}
// // Read HALF channel as FLOAT.
// for (int i = 0; i < exr_header.num_channels; i++) {
// if (exr_header.pixel_types[i] == TINYEXR_PIXELTYPE_HALF) {
// exr_header.requested_pixel_types[i] = TINYEXR_PIXELTYPE_FLOAT;
// }
// }
EXRImage exr_image;
InitEXRImage(&exr_image);
ret = LoadEXRImageFromFile(&exr_image, &exr_header, argv[1], &err);
if (ret != 0) {
fprintf(stderr, "Load EXR err: %s\n", err);
FreeEXRHeader(&exr_header);
FreeEXRErrorMessage(err); // free's buffer for an error message
return ret;
}
// 3. Access image data
// `exr_image.images` will be filled when EXR is scanline format.
// `exr_image.tiled` will be filled when EXR is tiled format.
// 4. Free image data
FreeEXRImage(&exr_image);
FreeEXRHeader(&exr_header);Scanline and tiled format are supported.
// 1. Read EXR version.
EXRVersion exr_version;
int ret = ParseEXRVersionFromFile(&exr_version, argv[1]);
if (ret != 0) {
fprintf(stderr, "Invalid EXR file: %s\n", argv[1]);
return -1;
}
if (!exr_version.multipart) {
// must be multipart flag is true.
return -1;
}
// 2. Read EXR headers in the EXR.
EXRHeader **exr_headers; // list of EXRHeader pointers.
int num_exr_headers;
const char *err = NULL; // or nullptr in C++11 or later
// Memory for EXRHeader is allocated inside of ParseEXRMultipartHeaderFromFile,
ret = ParseEXRMultipartHeaderFromFile(&exr_headers, &num_exr_headers, &exr_version, argv[1], &err);
if (ret != 0) {
fprintf(stderr, "Parse EXR err: %s\n", err);
FreeEXRErrorMessage(err); // free's buffer for an error message
return ret;
}
printf("num parts = %d\n", num_exr_headers);
// 3. Load images.
// Prepare array of EXRImage.
std::vector<EXRImage> images(num_exr_headers);
for (int i =0; i < num_exr_headers; i++) {
InitEXRImage(&images[i]);
}
ret = LoadEXRMultipartImageFromFile(&images.at(0), const_cast<const EXRHeader**>(exr_headers), num_exr_headers, argv[1], &err);
if (ret != 0) {
fprintf(stderr, "Parse EXR err: %s\n", err);
FreeEXRErrorMessage(err); // free's buffer for an error message
return ret;
}
printf("Loaded %d part images\n", num_exr_headers);
// 4. Access image data
// `exr_image.images` will be filled when EXR is scanline format.
// `exr_image.tiled` will be filled when EXR is tiled format.
// 5. Free images
for (int i =0; i < num_exr_headers; i++) {
FreeEXRImage(&images.at(i));
}
// 6. Free headers.
for (int i =0; i < num_exr_headers; i++) {
FreeEXRHeader(exr_headers[i]);
free(exr_headers[i]);
}
free(exr_headers);Saving Scanline EXR file.
// See `examples/rgbe2exr/` for more details.
bool SaveEXR(const float* rgb, int width, int height, const char* outfilename) {
EXRHeader header;
InitEXRHeader(&header);
EXRImage image;
InitEXRImage(&image);
image.num_channels = 3;
std::vector<float> images[3];
images[0].resize(width * height);
images[1].resize(width * height);
images[2].resize(width * height);
// Split RGBRGBRGB... into R, G and B layer
for (int i = 0; i < width * height; i++) {
images[0][i] = rgb[3*i+0];
images[1][i] = rgb[3*i+1];
images[2][i] = rgb[3*i+2];
}
float* image_ptr[3];
image_ptr[0] = &(images[2].at(0)); // B
image_ptr[1] = &(images[1].at(0)); // G
image_ptr[2] = &(images[0].at(0)); // R
image.images = (unsigned char**)image_ptr;
image.width = width;
image.height = height;
header.num_channels = 3;
header.channels = (EXRChannelInfo *)malloc(sizeof(EXRChannelInfo) * header.num_channels);
// Must be (A)BGR order, since most of EXR viewers expect this channel order.
strncpy(header.channels[0].name, "B", 255); header.channels[0].name[strlen("B")] = '\0';
strncpy(header.channels[1].name, "G", 255); header.channels[1].name[strlen("G")] = '\0';
strncpy(header.channels[2].name, "R", 255); header.channels[2].name[strlen("R")] = '\0';
header.pixel_types = (int *)malloc(sizeof(int) * header.num_channels);
header.requested_pixel_types = (int *)malloc(sizeof(int) * header.num_channels);
for (int i = 0; i < header.num_channels; i++) {
header.pixel_types[i] = TINYEXR_PIXELTYPE_FLOAT; // pixel type of input image
header.requested_pixel_types[i] = TINYEXR_PIXELTYPE_HALF; // pixel type of output image to be stored in .EXR
}
const char* err = NULL; // or nullptr in C++11 or later.
int ret = SaveEXRImageToFile(&image, &header, outfilename, &err);
if (ret != TINYEXR_SUCCESS) {
fprintf(stderr, "Save EXR err: %s\n", err);
FreeEXRErrorMessage(err); // free's buffer for an error message
return ret;
}
printf("Saved exr file. [ %s ] \n", outfilename);
free(rgb);
free(header.channels);
free(header.pixel_types);
free(header.requested_pixel_types);
}Reading deep image EXR file.
See example/deepview for actual usage.
const char* input = "deepimage.exr";
const char* err = NULL; // or nullptr
DeepImage deepImage;
int ret = LoadDeepEXR(&deepImage, input, &err);
// access to each sample in the deep pixel.
for (int y = 0; y < deepImage.height; y++) {
int sampleNum = deepImage.offset_table[y][deepImage.width-1];
for (int x = 0; x < deepImage.width-1; x++) {
int s_start = deepImage.offset_table[y][x];
int s_end = deepImage.offset_table[y][x+1];
if (s_start >= sampleNum) {
continue;
}
s_end = (s_end < sampleNum) ? s_end : sampleNum;
for (int s = s_start; s < s_end; s++) {
float val = deepImage.image[depthChan][y][s];
...
}
}
}
examples/deepview is simple deep image viewer in OpenGL.
TinyEXR adds ZFP compression as an experimemtal support (Linux and MacOSX only).
ZFP only supports FLOAT format pixel, and its image width and height must be the multiple of 4, since ZFP compresses pixels with 4x4 pixel block.
Checkout zfp repo as an submodule.
$ git submodule update --init
Then build ZFP
$ cd deps/ZFP
$ mkdir -p lib # Create `lib` directory if not exist
$ make
Set 1 to TINYEXT_USE_ZFP define in tinyexr.h
Build your app with linking deps/ZFP/lib/libzfp.a
For ZFP EXR image, the following attribute must exist in its EXR image.
zfpCompressionType(uchar).- 0 = fixed rate compression
- 1 = precision based variable rate compression
- 2 = accuracy based variable rate compression
And the one of following attributes must exist in EXR, depending on the zfpCompressionType value.
zfpCompressionRate(double)- Specifies compression rate for fixed rate compression.
zfpCompressionPrecision(int32)- Specifies the number of bits for precision based variable rate compression.
zfpCompressionTolerance(double)- Specifies the tolerance value for accuracy based variable rate compression.
At least ZFP code itself works well on big endian machine.
See test/unit directory.
Contribution is welcome!
- Compression
- B44?
- B44A?
- PIX24?
- Custom attributes
- Normal image (EXR 1.x)
- Deep image (EXR 2.x)
- JavaScript library (experimental, using Emscripten)
- LoadEXRFromMemory
- SaveMultiChannelEXR
- Deep image save/load
- Write from/to memory buffer.
- Deep image save/load
- Tile format.
- Tile format with no LoD (load).
- Tile format with LoD (load).
- Tile format with no LoD (save).
- Tile format with LoD (save).
- Support for custom compression type.
- zfp compression (Not in OpenEXR spec, though)
- zstd?
- Multi-channel.
- Multi-part (EXR2.0)
- Load multi-part image
- Load multi-part deep image
- Line order.
- Increasing, decreasing (load)
- Random?
- Increasing, decreasing (save)
- Pixel format (UINT, FLOAT).
- UINT, FLOAT (load)
- UINT, FLOAT (deep load)
- UINT, FLOAT (save)
- UINT, FLOAT (deep save)
- Support for big endian machine.
- Loading multi-part channel EXR
- Saving multi-part channel EXR
- Loading deep image
- Saving deep image
- Optimization
- ISPC?
- OpenMP multi-threading in EXR loading.
- OpenMP multi-threading in EXR saving.
- OpenMP multi-threading in deep image loading.
- OpenMP multi-threading in deep image saving.
pytinyexr is available: https://pypi.org/project/pytinyexr/ (loading only as of 0.9.1)
- miniexr: https://github.com/aras-p/miniexr (Write OpenEXR)
- stb_image_resize.h: https://github.com/nothings/stb (Good for HDR image resizing)
3-clause BSD
tinyexr uses miniz, which is developed by Rich Geldreich [email protected], and licensed under public domain.
tinyexr tools uses stb, which is licensed under public domain: https://github.com/nothings/stb
tinyexr uses some code from OpenEXR, which is licensed under 3-clause BSD license.
tinyexr uses nanozlib and wuffs, whose are licensed unnder Apache 2.0 license.
Syoyo Fujita ([email protected])
- Matt Ebb (http://mattebb.com): deep image example. Thanks!
- Matt Pharr (http://pharr.org/matt/): Testing tinyexr with OpenEXR(IlmImf). Thanks!
- Andrew Bell (https://github.com/andrewfb) & Richard Eakin (https://github.com/richardeakin): Improving TinyEXR API. Thanks!
- Mike Wong (https://github.com/mwkm): ZIPS compression support in loading. Thanks!
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