v1.0.0-rc.179 (#90)
Build Packages / Create release (push) Successful in 8s
Build Packages / build:portable:macos-arm64:nocuda (push) Successful in 5m11s
Build Packages / build:rugnux:linux-aarch64:cuda (push) Successful in 10m32s
Build Packages / build:portable:linux-x86_64:nocuda (push) Successful in 18m26s
Build Packages / build:portable:linux-x86_64:cuda (push) Successful in 22m11s
Build Packages / build:jfjoch:ubuntu2204:nocuda (push) Successful in 23m32s
Build Packages / build:portable:windows-x86_64:nocuda (push) Successful in 25m36s
Build Packages / build:jfjoch:rocky8:nocuda (push) Successful in 27m28s
Build Packages / HDF5 consumer tests (DIALS, XDS) (push) Successful in 28m10s
Build Packages / build:jfjoch:rocky9:nocuda (push) Successful in 28m10s
Build Packages / build:portable:windows-x86_64:cuda (push) Successful in 29m24s
Build Packages / build:jfjoch:ubuntu2404:nocuda (push) Successful in 21m45s
Build Packages / Generate python client (push) Successful in 31s
Build Packages / Build documentation (push) Successful in 1m21s
Build Packages / build:jfjoch:rocky8:cuda-sls9 (push) Successful in 24m2s
Build Packages / build:jfjoch:rocky9:cuda-sls9 (push) Successful in 29m25s
Build Packages / build:jfjoch:rocky8:cuda (push) Successful in 30m27s
Build Packages / build:jfjoch:ubuntu2204:cuda (push) Successful in 27m12s
Build Packages / build:jfjoch:ubuntu2404:cuda (push) Successful in 32m20s
Build Packages / build:jfjoch:rocky9:cuda (push) Successful in 33m36s
Build Packages / Unit tests (push) Successful in 2h7m18s
Build Packages / Validation Battery (push) Successful in 33m19s
Build Packages / Create release (push) Successful in 8s
Build Packages / build:portable:macos-arm64:nocuda (push) Successful in 5m11s
Build Packages / build:rugnux:linux-aarch64:cuda (push) Successful in 10m32s
Build Packages / build:portable:linux-x86_64:nocuda (push) Successful in 18m26s
Build Packages / build:portable:linux-x86_64:cuda (push) Successful in 22m11s
Build Packages / build:jfjoch:ubuntu2204:nocuda (push) Successful in 23m32s
Build Packages / build:portable:windows-x86_64:nocuda (push) Successful in 25m36s
Build Packages / build:jfjoch:rocky8:nocuda (push) Successful in 27m28s
Build Packages / HDF5 consumer tests (DIALS, XDS) (push) Successful in 28m10s
Build Packages / build:jfjoch:rocky9:nocuda (push) Successful in 28m10s
Build Packages / build:portable:windows-x86_64:cuda (push) Successful in 29m24s
Build Packages / build:jfjoch:ubuntu2404:nocuda (push) Successful in 21m45s
Build Packages / Generate python client (push) Successful in 31s
Build Packages / Build documentation (push) Successful in 1m21s
Build Packages / build:jfjoch:rocky8:cuda-sls9 (push) Successful in 24m2s
Build Packages / build:jfjoch:rocky9:cuda-sls9 (push) Successful in 29m25s
Build Packages / build:jfjoch:rocky8:cuda (push) Successful in 30m27s
Build Packages / build:jfjoch:ubuntu2204:cuda (push) Successful in 27m12s
Build Packages / build:jfjoch:ubuntu2404:cuda (push) Successful in 32m20s
Build Packages / build:jfjoch:rocky9:cuda (push) Successful in 33m36s
Build Packages / Unit tests (push) Successful in 2h7m18s
Build Packages / Validation Battery (push) Successful in 33m19s
* Rugnux: Stills processing needs only the unit cell and space group beyond what the file records - detector distance, beam centre, tilt, panel placement, saturation level, gain and polarisation plane are found from the images - and is up to twice as fast. * Rugnux: Stills can be indexed without a GPU, with a CPU implementation of the fast-feedback indexer (macOS, computers without a GPU). * Rugnux: Rotation and stills data are integrated in the detector's own units with one gain model, improving data from CCD detectors. * Web frontend: The Rugnux live page shows the placed model with its electron density and anomalous difference map in a Mol* viewer. Reviewed-on: #90 Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>
This commit was merged in pull request #90.
This commit is contained in:
1 parent
afbe844b20
commit
b00c668e3a
394 files changed
+57778
-2178
No files matched your search
@@ -23,17 +23,25 @@ const int32_t *ImagePreprocessorBuffer::getGPUBuffer() const {
|
||||
return nullptr;
|
||||
}
|
||||
|
||||
PanelBox ImagePreprocessorBuffer::TileBox(int32_t x, int32_t y, int width) const {
|
||||
for (const auto &p: panels)
|
||||
if (x >= p.x0 && x < p.x1 && y >= p.y0 && y < p.y1)
|
||||
return p;
|
||||
return PanelBox{0, 0, width, static_cast<int32_t>(npixels / width), -1};
|
||||
}
|
||||
|
||||
const int32_t *ImagePreprocessorBuffer::GatherTiles(const std::vector<int32_t> &x, const std::vector<int32_t> &y,
|
||||
int width, int half) {
|
||||
const int side = 2 * half + 1;
|
||||
const int height = static_cast<int>(npixels / width);
|
||||
tiles.resize(x.size() * side * side);
|
||||
int32_t *out = tiles.data();
|
||||
for (size_t i = 0; i < x.size(); i++)
|
||||
for (size_t i = 0; i < x.size(); i++) {
|
||||
const PanelBox b = TileBox(x[i], y[i], width);
|
||||
for (int py = y[i] - half; py <= y[i] + half; py++)
|
||||
for (int px = x[i] - half; px <= x[i] + half; px++)
|
||||
*out++ = (px < 0 || py < 0 || px >= width || py >= height)
|
||||
*out++ = (px < b.x0 || py < b.y0 || px >= b.x1 || py >= b.y1)
|
||||
? INT32_MIN : buffer[static_cast<size_t>(py) * width + px];
|
||||
}
|
||||
return tiles.data();
|
||||
}
|
||||
|
||||
|
||||
Reference in new issue
Block a user