183 lines
3.7 KiB
Nix
183 lines
3.7 KiB
Nix
{ stdenv
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, lib
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, buildPythonPackage
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, fetchFromGitHub
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, pythonRelaxDepsHook
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, ninja
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, which
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# build inputs
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, pillow
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, matplotlib
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, pycocotools
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, termcolor
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, yacs
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, tabulate
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, cloudpickle
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, tqdm
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, tensorboard
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, fvcore
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, iopath
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, omegaconf
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, hydra-core
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, packaging
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, torch
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, pydot
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, black
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# optional dependencies
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, fairscale
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, timm
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, scipy
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, shapely
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, pygments
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, psutil
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# check inputs
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, pytestCheckHook
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, torchvision
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, av
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, opencv4
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, pytest-mock
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, pybind11
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}:
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let
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pname = "detectron2";
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version = "0.6";
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optional-dependencies = {
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all = [
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fairscale
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timm
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scipy
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shapely
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pygments
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psutil
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];
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};
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in
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buildPythonPackage {
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inherit pname version;
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format = "setuptools";
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src = fetchFromGitHub {
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owner = "facebookresearch";
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repo = "detectron2";
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rev = "refs/tags/v${version}";
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sha256 = "1w6cgvc8r2lwr72yxicls650jr46nriv1csivp2va9k1km8jx2sf";
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};
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postPatch = ''
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# https://github.com/facebookresearch/detectron2/issues/5010
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substituteInPlace detectron2/data/transforms/transform.py \
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--replace "interp=Image.LINEAR" "interp=Image.BILINEAR"
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'';
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nativeBuildInputs = [
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pythonRelaxDepsHook
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ninja
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which
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];
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buildInputs = [ pybind11 ];
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pythonRelaxDeps = [
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"black"
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];
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propagatedBuildInputs = [
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pillow
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matplotlib
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pycocotools
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termcolor
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yacs
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tabulate
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cloudpickle
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tqdm
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tensorboard
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fvcore
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iopath
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omegaconf
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hydra-core
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packaging
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black
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torch # not explicitly declared in setup.py because they expect you to install it yourself
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pydot # no idea why this is not in their setup.py
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];
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passthru.optional-dependencies = optional-dependencies;
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nativeCheckInputs = [
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av
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opencv4
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pytest-mock
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pytestCheckHook
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torchvision
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];
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preCheck = ''
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# prevent import errors for C extension modules
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rm -r detectron2
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'';
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pytestFlagsArray = [
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# prevent include $sourceRoot/projects/*/tests
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"tests"
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];
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disabledTestPaths = [
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# try import caffe2
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"tests/test_export_torchscript.py"
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"tests/test_model_analysis.py"
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"tests/modeling/test_backbone.py"
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"tests/modeling/test_roi_heads.py"
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"tests/modeling/test_rpn.py"
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"tests/structures/test_instances.py"
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# hangs for some reason
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"tests/modeling/test_model_e2e.py"
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# KeyError: 'precision'
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"tests/data/test_coco_evaluation.py"
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];
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disabledTests = [
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# fails for some reason
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"test_checkpoint_resume"
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"test_map_style"
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# requires shapely
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"test_resize_and_crop"
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# require caffe2
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"test_predict_boxes_tracing"
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"test_predict_probs_tracing"
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"testMaskRCNN"
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"testRetinaNet"
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# require coco dataset
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"test_default_trainer"
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"test_unknown_category"
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"test_build_dataloader_train"
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"test_build_iterable_dataloader_train"
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# require network access
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"test_opencv_exif_orientation"
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"test_read_exif_orientation"
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# use deprecated api, numpy.bool
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"test_BWmode_nomask"
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"test_draw_binary_mask"
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"test_draw_empty_mask_predictions"
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"test_draw_instance_predictions"
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"test_draw_no_metadata"
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"test_overlay_instances"
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"test_overlay_instances_no_boxes"
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"test_get_bounding_box"
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] ++ lib.optionals (stdenv.isLinux && stdenv.isAarch64) [
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"test_build_batch_dataloader_inference"
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"test_build_dataloader_inference"
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"test_build_iterable_dataloader_inference"
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"test_to_iterable"
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];
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pythonImportsCheck = [ "detectron2" ];
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meta = with lib; {
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description = "Facebooks's next-generation platform for object detection, segmentation and other visual recognition tasks";
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homepage = "https://github.com/facebookresearch/detectron2";
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license = licenses.asl20;
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maintainers = with maintainers; [ happysalada ];
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};
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}
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