2 new videos and commands
Browse files
raw_data/videos/new_videos/norawy2_DJI_0741_540p.mp4
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version https://git-lfs.github.com/spec/v1
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oid sha256:63467788015506f0f849f223a8aaae607caae97cfbf97bf143f1d71a5ed4d76e
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size 189178876
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raw_data/videos/new_videos/politehnica_DJI_0708_540p.mp4
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version https://git-lfs.github.com/spec/v1
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oid sha256:44f9c14638bbb2d0037b0a4cefc5e62762bb4f017fcd789a45ddbd668cca81b4
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size 30453475
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scripts/semantic_mapper/semantic_mapper.py
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@@ -278,6 +278,24 @@ class BuildingsFromM2FDepth(BinaryMapper, NpIORepresentation):
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buildings_depth = buildings * (depth[..., 0] <= thr)
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return self.disk_to_memory_fmt(buildings_depth.astype(bool))
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class SafeLandingAreas(BinaryMapper, NpIORepresentation):
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def __init__(self, name: str, depth: DepthRepresentation, camera_normals: NormalsRepresentation,
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include_semantics: bool, original_classes: tuple[list[str], list[str]] | None = None,
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@@ -437,9 +455,14 @@ def get_new_semantic_mapped_tasks(tasks_subset: list[str] | None = None) -> dict
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]
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available_tasks: list[TaskMapper] = [
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-
SemanticMask2FormerMapillaryConvertedPaper(
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-
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buildings := BinaryMapper("buildings", [m2f_mapillary, m2f_coco, m2f_r50_mapillary],
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buildings_mapping, mode="majority"),
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BinaryMapper("sky-and-water", [m2f_mapillary, m2f_coco, m2f_r50_mapillary],
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buildings_depth = buildings * (depth[..., 0] <= thr)
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return self.disk_to_memory_fmt(buildings_depth.astype(bool))
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class SemanticMedian(TaskMapper, NpIORepresentation):
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def __init__(self, name: str, deps: list[TaskMapper]):
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assert all(dep.n_channels == deps[0].n_channels for dep in deps), [(dep.name, dep.n_channels) for dep in deps]
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TaskMapper.__init__(self, name, n_channels=deps[0].n_channels, dependencies=deps)
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NpIORepresentation.__init__(self)
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self.classes = list(deps[0].classes)
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self.n_classes = len(self.classes)
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self.output_dtype = "uint8"
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self.color_map = deps[0].color_map
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@overrides
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def merge_fn(self, dep_data: list[MemoryData]) -> MemoryData:
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return MemoryData(np.eye(self.n_classes)[sum(dep_data).argmax(-1)].astype(np.uint8))
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@overrides
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def make_images(self) -> np.ndarray:
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return colorize_semantic_segmentation(self.data.output.argmax(-1), self.classes, self.color_map)
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class SafeLandingAreas(BinaryMapper, NpIORepresentation):
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def __init__(self, name: str, depth: DepthRepresentation, camera_normals: NormalsRepresentation,
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include_semantics: bool, original_classes: tuple[list[str], list[str]] | None = None,
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]
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available_tasks: list[TaskMapper] = [
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m2f_swin_mapillary_converted := SemanticMask2FormerMapillaryConvertedPaper(
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"semantic_mask2former_swin_mapillary_converted", [m2f_mapillary]),
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m2f_r50_mapillary_converted := SemanticMask2FormerMapillaryConvertedPaper(
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"semantic_mask2former_r50_mapillary_converted", [m2f_r50_mapillary]),
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m2f_swin_coco_converted := SemanticMask2FormerCOCOConverted(
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"semantic_mask2former_swin_coco_converted", [m2f_coco]),
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SemanticMedian("semantic_median_expert", [m2f_swin_mapillary_converted, m2f_r50_mapillary_converted,
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m2f_swin_coco_converted]),
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buildings := BinaryMapper("buildings", [m2f_mapillary, m2f_coco, m2f_r50_mapillary],
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buildings_mapping, mode="majority"),
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BinaryMapper("sky-and-water", [m2f_mapillary, m2f_coco, m2f_r50_mapillary],
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vre_dronescapes/commands.txt
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@@ -40,3 +40,12 @@ python scripts/symlinks_from_txt_list.py vre_dronescapes/ --copy_files --txt_fil
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python scripts/symlinks_from_txt_list.py vre_dronescapes/ --copy_files --txt_file scripts/txt_files/manually_annotated_files/val_files_15.txt -o data/validation_set_annotated_only
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python scripts/symlinks_from_txt_list.py vre_dronescapes/ --copy_files --txt_file scripts/txt_files/manually_annotated_files/semisup_files_207.txt -o data/semisupervised_set_annotated_only
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python scripts/symlinks_from_txt_list.py vre_dronescapes/ --copy_files --txt_file scripts/txt_files/manually_annotated_files/test_files_116.txt -o data/test_set_annotated_only
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python scripts/symlinks_from_txt_list.py vre_dronescapes/ --copy_files --txt_file scripts/txt_files/manually_annotated_files/val_files_15.txt -o data/validation_set_annotated_only
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python scripts/symlinks_from_txt_list.py vre_dronescapes/ --copy_files --txt_file scripts/txt_files/manually_annotated_files/semisup_files_207.txt -o data/semisupervised_set_annotated_only
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python scripts/symlinks_from_txt_list.py vre_dronescapes/ --copy_files --txt_file scripts/txt_files/manually_annotated_files/test_files_116.txt -o data/test_set_annotated_only
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# new videos
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tmux new -s poli
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VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=0 vre ../raw_data/videos/new_videos/politehnica_DJI_0708_540p.mp4 -o politehnica_DJI_0708_540p/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks;
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tmux new -s norway2
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VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=1 vre ../raw_data/videos/new_videos/norawy2_DJI_0741_540p.mp4 -o norawy2_DJI_0741_540p/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks
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