repo_full_name stringlengths 6 93 | repo_url stringlengths 25 112 | repo_api_url stringclasses 28
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values | stars int64 617 98.8k | forks int64 31 355 ⌀ | watchers int64 990 999 ⌀ | license stringclasses 2
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values | repo_created_at timestamp[s]date 2012-07-24 23:12:50 2025-06-16 08:07:28 ⌀ | repo_updated_at timestamp[s]date 2026-02-23 15:23:15 2026-05-03 18:52:12 ⌀ | repo_topics listlengths 0 13 ⌀ | repo_languages unknown | is_fork bool 1
class | open_issues int64 3 104 ⌀ | file_path stringlengths 3 208 | file_name stringclasses 509
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values | parsed_at stringdate 2026-05-04 01:12:36 2026-05-04 19:41:55 | text stringlengths 100 102k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/data/datasets/evaluation/cityscapes/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:28.706496 | from .cityscapes_eval import do_cityscapes_evaluation
def abs_cityscapes_evaluation(
dataset,
predictions,
box_only,
output_folder,
iou_types,
expected_results,
expected_results_sigma_tol,
):
return do_cityscapes_evaluation(
dataset=dataset,
predictions=predictions,
... |
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/data/datasets/concat_dataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:28.715690 | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import bisect
from torch.utils.data.dataset import ConcatDataset as _ConcatDataset
class ConcatDataset(_ConcatDataset):
"""
Same as torch.utils.data.dataset.ConcatDataset, but exposes an extra
method for querying the sizes of the ima... |
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/data/datasets/evaluation/cityscapes/eval_instances.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:28.717179 | #!/usr/bin/python
#
# The evaluation script for instance-level semantic labeling.
# We use this script to evaluate your approach on the test set.
# You can use the script to evaluate on the validation set.
#
# Please check the description of the "getPrediction" method below
# and set the required environment variables ... |
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/data/datasets/abstract.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:28.732425 | import torch
class AbstractDataset(torch.utils.data.Dataset):
"""
Serves as a common interface to reduce boilerplate and help dataset
customization
A generic Dataset for the maskrcnn_benchmark must have the following
non-trivial fields / methods implemented:
CLASSES - list/tuple:
... |
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/data/datasets/cityscapes.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:28.745570 | import os
import glob
import json
from PIL import Image
import numpy as np
import torch
import torchvision
from maskrcnn_benchmark.structures.bounding_box import BoxList
from maskrcnn_benchmark.structures.segmentation_mask import SegmentationMask
from .abstract import AbstractDataset
from cityscapesscripts.helpers... |
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/data/datasets/evaluation/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:28.746931 | from maskrcnn_benchmark.data import datasets
from .coco import coco_evaluation
from .voc import voc_evaluation
from .cityscapes import abs_cityscapes_evaluation
def evaluate(dataset, predictions, output_folder, **kwargs):
"""evaluate dataset using different methods based on dataset type.
Args:
dataset... |
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/data/datasets/evaluation/coco/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:28.748621 | from .coco_eval import do_coco_evaluation as do_orig_coco_evaluation
from .coco_eval_wrapper import do_coco_evaluation as do_wrapped_coco_evaluation
from maskrcnn_benchmark.data.datasets import AbstractDataset, COCODataset
def coco_evaluation(
dataset,
predictions,
output_folder,
box_only,
iou_typ... |
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/data/datasets/evaluation/coco/abs_to_coco.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:29.341672 | # COCO style evaluation for custom datasets derived from AbstractDataset
# Warning! area is computed using binary maps, therefore results may differ
# because of the precomputed COCO areas
# by botcs@github
import numpy as np
import torch
import pycocotools.mask as mask_util
from maskrcnn_benchmark.data.datasets.abst... |
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/data/datasets/evaluation/voc/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:29.475150 | import logging
from .voc_eval import do_voc_evaluation
def voc_evaluation(dataset, predictions, output_folder, box_only, **_):
logger = logging.getLogger("maskrcnn_benchmark.inference")
if box_only:
logger.warning("voc evaluation doesn't support box_only, ignored.")
logger.info("performing voc ev... |
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/data/datasets/evaluation/coco/coco_eval.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:29.482273 | import logging
import tempfile
import os
import torch
from collections import OrderedDict
from tqdm import tqdm
from maskrcnn_benchmark.modeling.roi_heads.mask_head.inference import Masker
from maskrcnn_benchmark.structures.bounding_box import BoxList
from maskrcnn_benchmark.structures.boxlist_ops import boxlist_iou
... |
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/data/datasets/voc.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:29.493805 | import os
import torch
import torch.utils.data
from PIL import Image
import sys
if sys.version_info[0] == 2:
import xml.etree.cElementTree as ET
else:
import xml.etree.ElementTree as ET
from maskrcnn_benchmark.structures.bounding_box import BoxList
class PascalVOCDataset(torch.utils.data.Dataset):
CL... |
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/data/datasets/list_dataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:29.496740 | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
"""
Simple dataset class that wraps a list of path names
"""
from PIL import Image
from maskrcnn_benchmark.structures.bounding_box import BoxList
class ListDataset(object):
def __init__(self, image_lists, transforms=None):
self.imag... |
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/data/datasets/evaluation/coco/coco_eval_wrapper.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:29.498192 | # COCO style evaluation for custom datasets derived from AbstractDataset
# by botcs@github
import logging
import os
import json
from maskrcnn_benchmark.data.datasets.coco import COCODataset
from .coco_eval import do_coco_evaluation as orig_evaluation
from .abs_to_coco import convert_abstract_to_coco
def do_coco_eva... |
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/data/samplers/distributed.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:29.507311 | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
# Code is copy-pasted exactly as in torch.utils.data.distributed.
# FIXME remove this once c10d fixes the bug it has
import math
import torch
import torch.distributed as dist
from torch.utils.data.sampler import Sampler
class DistributedSampler(S... |
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/data/samplers/grouped_batch_sampler.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:29.508378 | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import itertools
import torch
from torch.utils.data.sampler import BatchSampler
from torch.utils.data.sampler import Sampler
class GroupedBatchSampler(BatchSampler):
"""
Wraps another sampler to yield a mini-batch of indices.
It enfo... |
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/data/datasets/evaluation/voc/voc_eval.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:29.537461 | # A modification version from chainercv repository.
# (See https://github.com/chainer/chainercv/blob/master/chainercv/evaluations/eval_detection_voc.py)
from __future__ import division
import os
from collections import defaultdict
import numpy as np
from maskrcnn_benchmark.structures.bounding_box import BoxList
from m... |
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/data/samplers/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:29.538592 | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
from .distributed import DistributedSampler
from .grouped_batch_sampler import GroupedBatchSampler
from .iteration_based_batch_sampler import IterationBasedBatchSampler
__all__ = ["DistributedSampler", "GroupedBatchSampler", "IterationBasedBatchSa... |
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/data/samplers/iteration_based_batch_sampler.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:29.919872 | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
from torch.utils.data.sampler import BatchSampler
class IterationBasedBatchSampler(BatchSampler):
"""
Wraps a BatchSampler, resampling from it until
a specified number of iterations have been sampled
"""
def __init__(self, ba... |
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/data/transforms/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:30.380253 | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
from .transforms import Compose
from .transforms import Resize
from .transforms import RandomHorizontalFlip
from .transforms import ToTensor
from .transforms import Normalize
from .build import build_transforms
|
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/engine/inference.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:30.381589 | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import logging
import time
import os
import torch
from tqdm import tqdm
from maskrcnn_benchmark.data.datasets.evaluation import evaluate
from ..utils.comm import is_main_process, get_world_size
from ..utils.comm import all_gather
from ..utils.com... |
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/data/transforms/transforms.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:30.382606 | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import random
import torch
import torchvision
from torchvision.transforms import functional as F
class Compose(object):
def __init__(self, transforms):
self.transforms = transforms
def __call__(self, image, target):
for ... |
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/layers/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:30.544186 | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import torch
from .batch_norm import FrozenBatchNorm2d
from .misc import Conv2d
from .misc import DFConv2d
from .misc import ConvTranspose2d
from .misc import BatchNorm2d
from .misc import interpolate
from .nms import nms
from .roi_align import RO... |
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/data/transforms/build.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:30.603870 | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
from . import transforms as T
def build_transforms(cfg, is_train=True):
if is_train:
min_size = cfg.INPUT.MIN_SIZE_TRAIN
max_size = cfg.INPUT.MAX_SIZE_TRAIN
flip_horizontal_prob = cfg.INPUT.HORIZONTAL_FLIP_PROB_TRAIN
... |
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/engine/trainer.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:30.715818 | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import datetime
import logging
import os
import time
import torch
import torch.distributed as dist
from tqdm import tqdm
from maskrcnn_benchmark.data import make_data_loader
from maskrcnn_benchmark.utils.comm import get_world_size, synchronize
fr... |
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/engine/bbox_aug.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:30.989995 | import torch
import torchvision.transforms as TT
from maskrcnn_benchmark.config import cfg
from maskrcnn_benchmark.data import transforms as T
from maskrcnn_benchmark.structures.image_list import to_image_list
from maskrcnn_benchmark.structures.bounding_box import BoxList
from maskrcnn_benchmark.modeling.roi_heads.box... |
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/layers/dcn/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:30.991404 | #
# Copied From [mmdetection](https://github.com/open-mmlab/mmdetection/tree/master/mmdet/ops/dcn)
#
|
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/layers/dcn/deform_conv_module.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:30.998169 | import math
import torch
import torch.nn as nn
from torch.nn.modules.utils import _pair
from .deform_conv_func import deform_conv, modulated_deform_conv
class DeformConv(nn.Module):
def __init__(
self,
in_channels,
out_channels,
kernel_size,
stride=1,
padding=0,
... |
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/layers/dcn/deform_conv_func.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:31.028307 | import torch
from torch.autograd import Function
from torch.autograd.function import once_differentiable
from torch.nn.modules.utils import _pair
from maskrcnn_benchmark import _C
class DeformConvFunction(Function):
@staticmethod
def forward(
ctx,
input,
offset,
weight,
... |
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/layers/dcn/deform_pool_func.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:31.028794 | import torch
from torch.autograd import Function
from torch.autograd.function import once_differentiable
from maskrcnn_benchmark import _C
class DeformRoIPoolingFunction(Function):
@staticmethod
def forward(
ctx,
data,
rois,
offset,
spatial_scale,
out_size,
... |
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/layers/_utils.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:31.082894 | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import glob
import os.path
import torch
try:
from torch.utils.cpp_extension import load as load_ext
from torch.utils.cpp_extension import CUDA_HOME
except ImportError:
raise ImportError("The cpp layer extensions requires PyTorch 0.4 o... |
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/layers/dcn/deform_pool_module.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:31.124769 | from torch import nn
from .deform_pool_func import deform_roi_pooling
class DeformRoIPooling(nn.Module):
def __init__(self,
spatial_scale,
out_size,
out_channels,
no_trans,
group_size=1,
part_size=None,
... |
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/layers/misc.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:31.209507 | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
"""
helper class that supports empty tensors on some nn functions.
Ideally, add support directly in PyTorch to empty tensors in
those functions.
This can be removed once https://github.com/pytorch/pytorch/issues/12013
is implemented
"""
import m... |
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/layers/nms.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:31.322919 | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
# from ._utils import _C
from maskrcnn_benchmark import _C
from apex import amp
# Only valid with fp32 inputs - give AMP the hint
nms = amp.float_function(_C.nms)
# nms.__doc__ = """
# This function performs Non-maximum suppresion"""
|
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/layers/roi_pool.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:32.419378 | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import torch
from torch import nn
from torch.autograd import Function
from torch.autograd.function import once_differentiable
from torch.nn.modules.utils import _pair
from maskrcnn_benchmark import _C
from apex import amp
class _ROIPool(Function... |
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/layers/roi_align.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:32.492343 | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import torch
from torch import nn
from torch.autograd import Function
from torch.autograd.function import once_differentiable
from torch.nn.modules.utils import _pair
from maskrcnn_benchmark import _C
from apex import amp
class _ROIAlign(Functio... |
facebookresearch/maskrcnn-benchmark | https://github.com/facebookresearch/maskrcnn-benchmark | null | null | null | null | 9,378 | null | null | mit | null | null | null | null | null | null | null | maskrcnn_benchmark/layers/batch_norm.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:36.244042 | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import torch
from torch import nn
class FrozenBatchNorm2d(nn.Module):
"""
BatchNorm2d where the batch statistics and the affine parameters
are fixed
"""
def __init__(self, n):
super(FrozenBatchNorm2d, self).__init__()... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/api/model/remote.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:38.996778 | LOCAL_RECIPES_INDEX = "local-recipes-index"
class Remote:
"""
The ``Remote`` class represents a remote registry of packages.
"""
def __init__(self, name, url, verify_ssl=True, disabled=False, allowed_packages=None,
remote_type=None, recipes_only=False):
""" A Remote object can... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/api/input.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:38.997838 | import getpass
import sys
from conan.errors import ConanException
class UserInput:
"""Class to interact with the user, used to show messages and ask for information"""
def __init__(self, non_interactive):
"""
Params:
ins: input stream
out: ConanOutput, should have "wr... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/api/model/list.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:39.048803 | import copy
import fnmatch
import json
import os
from json import JSONDecodeError
from typing import Iterable, Tuple, Dict
from conan.api.model import RecipeReference, PkgReference
from conan.api.output import ConanOutput
from conan.errors import ConanException
from conan.internal.errors import NotFoundException
from ... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/api/model/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:39.051265 | from conan.api.model.remote import Remote, LOCAL_RECIPES_INDEX
from conan.api.model.refs import RecipeReference, PkgReference
from conan.api.model.list import PackagesList, MultiPackagesList, ListPattern
|
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/api/model/refs.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:39.052693 |
import fnmatch
import re
from functools import total_ordering
from conan.errors import ConanException
from conan.internal.model.version import Version
from conan.internal.util.dates import timestamp_to_str
@total_ordering
class RecipeReference:
""" An exact (no version-range, no alias) reference of a recipe,
... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | .ci/bump_dev_version.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:39.053668 | import os
import re
import time
def replace_in_file(file_path, search, replace):
with open(file_path, "r") as handle:
content = handle.read()
if search not in content:
raise Exception("Incorrect development version in conan/__init__.py")
content = content.replace(search, replace)
... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:39.055941 | from conan.internal.model.conan_file import ConanFile
from conan.internal.model.workspace import Workspace
from conan.internal.model.version import Version
__version__ = '2.29.0-dev'
conan_version = Version(__version__)
|
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/api/conan_api.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:39.057074 | import os
import sys
from conan.api.output import init_colorama
from conan.api.subapi.audit import AuditAPI
from conan.api.subapi.cache import CacheAPI
from conan.api.subapi.command import CommandAPI
from conan.api.subapi.local import LocalAPI
from conan.api.subapi.lockfile import LockfileAPI
from conan.api.subapi.rep... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/api/output.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:40.089054 | import fnmatch
import os
import sys
import time
from threading import Lock
import colorama
from colorama import Fore, Style
from conan.errors import ConanException
LEVEL_QUIET = 80 # -q
LEVEL_ERROR = 70 # Errors
LEVEL_WARNING = 60 # Warnings
LEVEL_NOTICE = 50 # Important messages to attract user attention.
LEVEL... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/api/subapi/audit.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:40.105769 | import binascii
import json
import os
import base64
from conan.internal.api.audit.providers import ConanCenterProvider, PrivateProvider
from conan.errors import ConanException
from conan.internal.api.remotes.encrypt import encode, decode
from conan.internal.model.recipe_ref import RecipeReference
from conan.internal.u... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/api/subapi/command.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:40.107139 | import os
import shlex
from conan.api.output import ConanOutput
from conan.errors import ConanException
class CommandAPI:
""" This CommandAPI is useful to be able to launch full commands from the ConanAPI
Sometimes some commands are built using several calls to the ConanAPI. If we want
to reuse the same... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/api/subapi/download.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:40.108197 | import time
from multiprocessing.pool import ThreadPool
from typing import Optional, List
from conan.api.model import Remote, PackagesList
from conan.api.output import ConanOutput
from conan.errors import ConanException
from conan.api.model import PkgReference
from conan.api.model import RecipeReference
class Downlo... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/api/subapi/export.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:40.110056 | import os
from typing import List, Tuple
from conan import ConanFile
from conan.api.output import ConanOutput
from conan.cli.printers.graph import print_graph_basic
from conan.internal.cache.cache import PkgCache
from conan.internal.api.export import cmd_export
from conan.internal.methods import run_package_method
fro... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/api/subapi/config.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:40.111004 | import os
from conan.api.output import ConanOutput
from conan.internal.cache.home_paths import HomePaths
from conan.internal.graph.graph import CONTEXT_HOST, RECIPE_VIRTUAL, Node
from conan.internal.graph.graph_builder import DepsGraphBuilder
from conan.internal.graph.profile_node_definer import consumer_definer
from... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/api/subapi/cache.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:40.114262 | import json
import os
import shutil
import tarfile
import tempfile
from conan.api.model import PackagesList
from conan.api.output import ConanOutput
from conan.internal.api.uploader import compress_files, get_compress_level
from conan.internal.cache.cache import PkgCache
from conan.internal.cache.conan_reference_layou... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/api/subapi/graph.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:40.144149 | from conan.api.output import ConanOutput
from conan.internal.model.recipe_ref import ref_matches
from conan.internal.graph.graph import Node, RECIPE_CONSUMER, CONTEXT_HOST, RECIPE_VIRTUAL, \
CONTEXT_BUILD, BINARY_MISSING, DepsGraph
from conan.internal.graph.graph_binaries import GraphBinariesAnalyzer
from conan.int... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/api/subapi/install.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:40.442886 | import os
from typing import List
from conan.api.model import Remote
from conan.internal.api.install.generators import write_generators
from conan.internal.deploy import do_deploys
from conan.internal.graph.install_graph import InstallGraph
from conan.internal.graph.installer import BinaryInstaller
from conan.errors ... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/api/subapi/list.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:40.723776 | import os
from collections import OrderedDict
from typing import Dict
from conan.api.model import PackagesList, MultiPackagesList, ListPattern, Remote
from conan.api.output import ConanOutput, TimedOutput
from conan.internal.api.list.query_parse import filter_package_configs
from conan.internal.model.recipe_ref import... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/api/subapi/new.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:40.725355 | import fnmatch
import os
import shutil
from jinja2 import Template, StrictUndefined, UndefinedError, Environment, meta
from conan.api.output import ConanOutput
from conan.errors import ConanException
from conan.internal.util.files import load, save
from conan import __version__
class NewAPI:
_NOT_TEMPLATES = "n... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/api/subapi/profiles.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:40.726641 | import os
from conan.api.output import ConanOutput
from conan.internal.cache.home_paths import HomePaths
from conan.internal.loader import load_python_file
from conan.internal.api.profile.profile_loader import ProfileLoader
from conan.internal.errors import scoped_traceback
from conan.errors import ConanException
fro... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/api/subapi/local.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:40.737773 | import os
from typing import List
from conan.cli import make_abs_path
from conan.internal.methods import run_build_method, run_source_method
from conan.internal.graph.graph import CONTEXT_HOST
from conan.internal.graph.profile_node_definer import initialize_conanfile_profile
from conan.internal.errors import conanfile... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/api/subapi/lockfile.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:40.739242 | import os
from conan.api.output import ConanOutput
from conan.cli import make_abs_path
from conan.internal.cache.home_paths import HomePaths
from conan.internal.graph.graph import Overrides
from conan.errors import ConanException
from conan.internal.model.conanconfig import loadconanconfig
from conan.internal.model.lo... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/api/subapi/report.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:40.749141 | import base64
import os
from io import StringIO
from conan.api.output import ConanOutput
from conan.errors import ConanException
from conan.api.model import RecipeReference
from conan.internal.errors import conanfile_exception_formatter
from conan.internal.graph.graph import CONTEXT_HOST
from conan.internal.graph.prof... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/api/subapi/remotes.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:40.750243 | import fnmatch
import json
import os
from collections import OrderedDict
from urllib.parse import urlparse
from conan.api.model import Remote, LOCAL_RECIPES_INDEX
from conan.api.output import ConanOutput
from conan.internal.cache.home_paths import HomePaths
from conan.internal.rest.remote_credentials import RemoteCred... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/api/subapi/remove.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:40.770340 | from typing import Optional
from conan.api.model import Remote
from conan.api.model import PkgReference
from conan.api.model import RecipeReference
class RemoveAPI:
def __init__(self, conan_api, api_helpers):
self._conan_api = conan_api
self._api_helpers = api_helpers
def recipe(self, ref: ... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/api/subapi/upload.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:40.789690 | import os
import time
from multiprocessing.pool import ThreadPool
from typing import List
from conan.api.model import PackagesList, Remote
from conan.api.output import ConanOutput
from conan.internal.api.upload import add_urls
from conan.internal.api.uploader import PackagePreparator, UploadExecutor, UploadUpstreamChe... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/api/subapi/workspace.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:40.997311 | import inspect
import os
import shutil
import textwrap
from pathlib import Path
from conan import ConanFile
from conan.api.model import RecipeReference
from conan.api.output import ConanOutput
from conan.cli import make_abs_path
from conan.cli.printers.graph import print_graph_basic, print_graph_packages
from conan.er... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/cli/command.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:41.704311 | import argparse
import os
import textwrap
from contextlib import redirect_stdout
from conan.api.output import ConanOutput
from conan.errors import ConanException
class OnceArgument(argparse.Action):
"""Allows declaring a parameter that can have only one value, by default argparse takes the
latest declared an... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/cli/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:41.726112 | import os
def make_abs_path(path, cwd=None):
"""convert 'path' to absolute if necessary (could be already absolute)
if not defined (empty, or None), will return 'default' one or 'cwd'
"""
if path is None:
return None
if os.path.isabs(path):
return path
cwd = cwd or os.getcwd()
... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/cli/commands/audit.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:41.727219 | import json
import os
from conan.api.conan_api import ConanAPI
from conan.api.input import UserInput
from conan.api.model import MultiPackagesList, RecipeReference
from conan.api.output import cli_out_write, ConanOutput
from conan.api.subapi.audit import CONAN_CENTER_AUDIT_PROVIDER_NAME
from conan.cli import make_abs_... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/cli/commands/cache.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:41.788481 | import json
from conan.api.conan_api import ConanAPI
from conan.api.model import ListPattern, MultiPackagesList
from conan.api.output import cli_out_write, ConanOutput
from conan.cli import make_abs_path
from conan.cli.command import conan_command, conan_subcommand, OnceArgument
from conan.cli.commands.list import pri... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/cli/args.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:41.794461 | import argparse
from conan.cli.command import OnceArgument
from conan.errors import ConanException
_help_build_policies = '''Optional, specify which packages to build from source. Combining multiple
'--build' options on one command line is allowed.
Possible values:
--build=never Disallow build for a... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/cli/commands/config.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:41.816876 | import os
from conan.api.model import Remote
from conan.api.output import cli_out_write, Color
from conan.cli import make_abs_path
from conan.cli.command import conan_command, conan_subcommand, OnceArgument
from conan.cli.formatters import default_json_formatter
from conan.errors import ConanException
@conan_command... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/cli/commands/download.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:42.435416 | from conan.api.conan_api import ConanAPI
from conan.api.model import ListPattern, MultiPackagesList
from conan.api.output import ConanOutput
from conan.cli import make_abs_path
from conan.cli.command import conan_command, OnceArgument
from conan.cli.commands.list import print_list_text, print_list_json
from conan.error... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/cli/commands/editable.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:42.436796 | import json
import os
from conan.api.output import ConanOutput, cli_out_write
from conan.cli.args import add_reference_args
from conan.cli.command import conan_command, conan_subcommand
@conan_command(group="Creator")
def editable(conan_api, parser, *args):
"""
Allow working with a package that resides in us... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/cli/commands/install.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:43.310052 | import os
from conan.api.output import ConanOutput
from conan.cli import make_abs_path
from conan.cli.args import common_graph_args, validate_common_graph_args
from conan.cli.command import conan_command
from conan.cli.formatters.graph import format_graph_json
from conan.cli.printers import print_profiles
from conan.c... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/cli/commands/inspect.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:43.311183 | import os
from conan.api.output import cli_out_write
from conan.cli.command import conan_command, OnceArgument
from conan.cli.formatters import default_json_formatter
def inspect_text_formatter(data):
for name, value in sorted(data.items()):
if value is None:
continue
if isinstance(va... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/cli/commands/export.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:43.423411 | import json
import os
from conan.api.model import MultiPackagesList, PackagesList
from conan.api.output import ConanOutput, cli_out_write
from conan.cli.command import conan_command, OnceArgument
from conan.cli.args import add_reference_args
def common_args_export(parser):
parser.add_argument("path", help="Path ... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/cli/commands/export_pkg.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:43.423885 | import os
from conan.api.output import ConanOutput
from conan.cli import make_abs_path
from conan.cli.args import add_lockfile_args, add_profiles_args, add_reference_args
from conan.cli.command import conan_command, OnceArgument
from conan.cli.commands.create import _get_test_conanfile_path
from conan.cli.formatters.g... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/cli/commands/create.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:43.486220 | import os
import shutil
from conan.api.output import ConanOutput
from conan.cli.args import add_lockfile_args, add_common_install_arguments
from conan.cli.command import conan_command, OnceArgument
from conan.cli.commands.export import common_args_export
from conan.cli.formatters.graph import format_graph_json
from co... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/cli/commands/build.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:43.598076 | import os
from conan.api.output import ConanOutput
from conan.cli.command import conan_command
from conan.cli.formatters.graph import format_graph_json
from conan.cli import make_abs_path
from conan.cli.args import add_lockfile_args, add_common_install_arguments, add_reference_args
from conan.cli.printers import print... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/cli/commands/graph.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:43.716387 | import json
import os
from conan.api.output import ConanOutput, cli_out_write, Color
from conan.cli import make_abs_path
from conan.cli.args import common_graph_args, validate_common_graph_args
from conan.cli.command import conan_command, conan_subcommand
from conan.cli.commands.list import prepare_pkglist_compact, pr... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/cli/cli.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:43.809501 | import importlib
import os
import pkgutil
import re
import signal
import sys
import textwrap
import traceback
from collections import defaultdict
from difflib import get_close_matches
from inspect import getmembers
from conan.api.conan_api import ConanAPI
from conan.api.output import ConanOutput, Color, cli_out_write,... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/cli/commands/new.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:43.938770 | import os
from conan.cli.command import conan_command
@conan_command(group="Creator")
def new(conan_api, parser, *args):
"""
Create a new example recipe and source files from a template.
"""
parser.add_argument("template", nargs="?", default="", help="Template name, "
"either ... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/cli/commands/lock.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:44.010687 | import os
from conan.api.output import ConanOutput
from conan.cli.command import conan_command, OnceArgument, conan_subcommand
from conan.cli import make_abs_path
from conan.cli.args import common_graph_args, validate_common_graph_args
from conan.cli.printers.graph import print_graph_packages, print_graph_basic
from ... |
conan-io/conan | https://github.com/conan-io/conan | null | null | null | null | 9,333 | null | null | mit | null | null | null | null | null | null | null | conan/cli/commands/list.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:44.040893 | import json
import datetime
from conan.api.conan_api import ConanAPI
from conan.api.model import ListPattern, MultiPackagesList
from conan.api.output import Color, cli_out_write
from conan.cli import make_abs_path
from conan.cli.command import conan_command, OnceArgument
from conan.cli.formatters.list import list_pack... |
zhm-real/PathPlanning | https://github.com/zhm-real/PathPlanning | null | null | null | null | 9,268 | null | null | mit | null | null | null | null | null | null | null | CurvesGenerator/cubic_spline.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:46.458961 | #! /usr/bin/python
# -*- coding: utf-8 -*-
u"""
Cubic Spline library on python
author Atsushi Sakai
usage: see test codes as below
license: MIT
"""
import math
import numpy as np
import bisect
class Spline:
u"""
Cubic Spline class
"""
def __init__(self, x, y):
self.b, self.c, self.d, self.... |
zhm-real/PathPlanning | https://github.com/zhm-real/PathPlanning | null | null | null | null | 9,268 | null | null | mit | null | null | null | null | null | null | null | CurvesGenerator/quartic_polynomial.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:46.472119 | """
Quartic Polynomial
"""
import numpy as np
class QuarticPolynomial:
def __init__(self, x0, v0, a0, v1, a1, T):
A = np.array([[3 * T ** 2, 4 * T ** 3],
[6 * T, 12 * T ** 2]])
b = np.array([v1 - v0 - a0 * T,
a1 - a0])
X = np.linalg.solve(A, b)
... |
zhm-real/PathPlanning | https://github.com/zhm-real/PathPlanning | null | null | null | null | 9,268 | null | null | mit | null | null | null | null | null | null | null | CurvesGenerator/bspline_curve.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:46.477186 | """
Path Planner with B-Spline
author: Atsushi Sakai (@Atsushi_twi)
"""
import numpy as np
import matplotlib.pyplot as plt
import scipy.interpolate as scipy_interpolate
import cubic_spline as cs
def approximate_b_spline_path(x, y, n_path_points, degree=3):
t = range(len(x))
x_tup = scipy_interpolate.splre... |
zhm-real/PathPlanning | https://github.com/zhm-real/PathPlanning | null | null | null | null | 9,268 | null | null | mit | null | null | null | null | null | null | null | CurvesGenerator/dubins_path.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:46.478724 | """
Dubins Path
"""
import math
import numpy as np
import matplotlib.pyplot as plt
from scipy.spatial.transform import Rotation as Rot
import CurvesGenerator.draw as draw
# class for PATH element
class PATH:
def __init__(self, L, mode, x, y, yaw):
self.L = L # total path length [float]
self.mode... |
zhm-real/PathPlanning | https://github.com/zhm-real/PathPlanning | null | null | null | null | 9,268 | null | null | mit | null | null | null | null | null | null | null | CurvesGenerator/reeds_shepp.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:46.494030 | import math
import numpy as np
import matplotlib.pyplot as plt
import draw
# parameters initiation
STEP_SIZE = 0.2
MAX_LENGTH = 1000.0
PI = math.pi
# class for PATH element
class PATH:
def __init__(self, lengths, ctypes, L, x, y, yaw, directions):
self.lengths = lengths # lengths of each part of path (... |
zhm-real/PathPlanning | https://github.com/zhm-real/PathPlanning | null | null | null | null | 9,268 | null | null | mit | null | null | null | null | null | null | null | CurvesGenerator/bezier_path.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:46.494925 | """
bezier path
author: Atsushi Sakai(@Atsushi_twi)
modified: huiming zhou
"""
import numpy as np
import matplotlib.pyplot as plt
from scipy.special import comb
import draw
def calc_4points_bezier_path(sx, sy, syaw, gx, gy, gyaw, offset):
dist = np.hypot(sx - gx, sy - gy) / offset
control_points = np.array... |
zhm-real/PathPlanning | https://github.com/zhm-real/PathPlanning | null | null | null | null | 9,268 | null | null | mit | null | null | null | null | null | null | null | CurvesGenerator/draw.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:46.496740 | import matplotlib.pyplot as plt
import numpy as np
PI = np.pi
class Arrow:
def __init__(self, x, y, theta, L, c):
angle = np.deg2rad(30)
d = 0.5 * L
w = 2
x_start = x
y_start = y
x_end = x + L * np.cos(theta)
y_end = y + L * np.sin(theta)
theta_hat... |
zhm-real/PathPlanning | https://github.com/zhm-real/PathPlanning | null | null | null | null | 9,268 | null | null | mit | null | null | null | null | null | null | null | CurvesGenerator/quintic_polynomial.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:46.506328 | """
Quintic Polynomial
"""
import math
import numpy as np
import matplotlib.pyplot as plt
import draw
class QuinticPolynomial:
def __init__(self, x0, v0, a0, x1, v1, a1, T):
A = np.array([[T ** 3, T ** 4, T ** 5],
[3 * T ** 2, 4 * T ** 3, 5 * T ** 4],
[6 * T, ... |
zhm-real/PathPlanning | https://github.com/zhm-real/PathPlanning | null | null | null | null | 9,268 | null | null | mit | null | null | null | null | null | null | null | Sampling_based_Planning/rrt_2D/queue.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:47.126333 | import collections
import heapq
class QueueFIFO:
"""
Class: QueueFIFO
Description: QueueFIFO is designed for First-in-First-out rule.
"""
def __init__(self):
self.queue = collections.deque()
def empty(self):
return len(self.queue) == 0
def put(self, node):
self.q... |
zhm-real/PathPlanning | https://github.com/zhm-real/PathPlanning | null | null | null | null | 9,268 | null | null | mit | null | null | null | null | null | null | null | Sampling_based_Planning/rrt_2D/batch_informed_trees.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:47.127539 | """
Batch Informed Trees (BIT*)
@author: huiming zhou
"""
import os
import sys
import math
import random
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as patches
from scipy.spatial.transform import Rotation as Rot
sys.path.append(os.path.dirname(os.path.abspath(__file__)) +
... |
zhm-real/PathPlanning | https://github.com/zhm-real/PathPlanning | null | null | null | null | 9,268 | null | null | mit | null | null | null | null | null | null | null | Sampling_based_Planning/rrt_2D/env.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:47.139757 | """
Environment for rrt_2D
@author: huiming zhou
"""
class Env:
def __init__(self):
self.x_range = (0, 50)
self.y_range = (0, 30)
self.obs_boundary = self.obs_boundary()
self.obs_circle = self.obs_circle()
self.obs_rectangle = self.obs_rectangle()
@staticmethod
def... |
zhm-real/PathPlanning | https://github.com/zhm-real/PathPlanning | null | null | null | null | 9,268 | null | null | mit | null | null | null | null | null | null | null | Sampling_based_Planning/rrt_2D/dynamic_rrt.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:47.140972 | """
DYNAMIC_RRT_2D
@author: huiming zhou
"""
import os
import sys
import math
import copy
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as patches
sys.path.append(os.path.dirname(os.path.abspath(__file__)) +
"/../../Sampling_based_Planning/")
from Sampling_based_Plannin... |
zhm-real/PathPlanning | https://github.com/zhm-real/PathPlanning | null | null | null | null | 9,268 | null | null | mit | null | null | null | null | null | null | null | Sampling_based_Planning/rrt_2D/extended_rrt.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:47.144974 | """
EXTENDED_RRT_2D
@author: huiming zhou
"""
import os
import sys
import math
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as patches
sys.path.append(os.path.dirname(os.path.abspath(__file__)) +
"/../../Sampling_based_Planning/")
from Sampling_based_Planning.rrt_2D im... |
zhm-real/PathPlanning | https://github.com/zhm-real/PathPlanning | null | null | null | null | 9,268 | null | null | mit | null | null | null | null | null | null | null | Sampling_based_Planning/rrt_2D/fast_marching_trees.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:47.149775 | """
Fast Marching Trees (FMT*)
@author: huiming zhou
"""
import os
import sys
import math
import random
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as patches
sys.path.append(os.path.dirname(os.path.abspath(__file__)) +
"/../../Sampling_based_Planning/")
from Sampling... |
zhm-real/PathPlanning | https://github.com/zhm-real/PathPlanning | null | null | null | null | 9,268 | null | null | mit | null | null | null | null | null | null | null | Sampling_based_Planning/rrt_2D/informed_rrt_star.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:47.150693 | """
INFORMED_RRT_STAR 2D
@author: huiming zhou
"""
import os
import sys
import math
import random
import numpy as np
import matplotlib.pyplot as plt
from scipy.spatial.transform import Rotation as Rot
import matplotlib.patches as patches
sys.path.append(os.path.dirname(os.path.abspath(__file__)) +
"/.... |
zhm-real/PathPlanning | https://github.com/zhm-real/PathPlanning | null | null | null | null | 9,268 | null | null | mit | null | null | null | null | null | null | null | Sampling_based_Planning/rrt_2D/plotting.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:47.153002 | """
Plotting tools for Sampling-based algorithms
@author: huiming zhou
"""
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import os
import sys
sys.path.append(os.path.dirname(os.path.abspath(__file__)) +
"/../../Sampling_based_Planning/")
from Sampling_based_Planning.rrt_2D impo... |
zhm-real/PathPlanning | https://github.com/zhm-real/PathPlanning | null | null | null | null | 9,268 | null | null | mit | null | null | null | null | null | null | null | Sampling_based_Planning/rrt_2D/rrt.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:47.181895 | """
RRT_2D
@author: huiming zhou
"""
import os
import sys
import math
import numpy as np
sys.path.append(os.path.dirname(os.path.abspath(__file__)) +
"/../../Sampling_based_Planning/")
from Sampling_based_Planning.rrt_2D import env, plotting, utils
class Node:
def __init__(self, n):
sel... |
zhm-real/PathPlanning | https://github.com/zhm-real/PathPlanning | null | null | null | null | 9,268 | null | null | mit | null | null | null | null | null | null | null | Sampling_based_Planning/rrt_2D/dubins_rrt_star.py | null | null | null | null | null | null | Python | 2026-05-04T02:05:47.182942 | """
DUBINS_RRT_STAR 2D
@author: huiming zhou
"""
import os
import sys
import math
import random
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as patches
from scipy.spatial.transform import Rotation as Rot
sys.path.append(os.path.dirname(os.path.abspath(__file__)) +
"/../... |
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