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### File: sledge/simulation/planner/pdm_planner/proposal/pdm_proposal.py
from dataclasses import dataclass
from typing import List
from shapely.geometry import LineString
from sledge.simulation.planner.pdm_planner.proposal.batch_idm_policy import BatchIDMPolicy
from sledge.simulation.planner.pdm_planner.utils.pdm_pat... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/simulation/planner/pdm_planner/proposal/pdm_proposal.py", "license": "apache-2.0", "size": 3088} |
### File: sledge/simulation/planner/pdm_planner/scoring/pdm_comfort_metrics.py
from typing import Optional
import numpy as np
import numpy.typing as npt
from scipy.signal import savgol_filter
from sledge.simulation.planner.pdm_planner.utils.pdm_enums import StateIndex
# TODO: Refactor & add to config
# (1) ego_jerk... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/simulation/planner/pdm_planner/scoring/pdm_comfort_metrics.py", "license": "apache-2.0", "size": 13029} |
### File: sledge/simulation/planner/pdm_planner/scoring/pdm_scorer.py
import copy
from typing import Dict, List, Optional
import numpy as np
import numpy.typing as npt
from shapely import Point, creation
from nuplan.common.actor_state.ego_state import EgoState
from nuplan.common.actor_state.state_representation impo... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/simulation/planner/pdm_planner/scoring/pdm_scorer.py", "license": "apache-2.0", "size": 22784} |
### File: sledge/simulation/planner/pdm_planner/scoring/pdm_scorer_utils.py
import numpy as np
import numpy.typing as npt
from shapely import LineString, Polygon
from nuplan.common.actor_state.state_representation import StateSE2
from nuplan.common.actor_state.tracked_objects import TrackedObject
from nuplan.planning.... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/simulation/planner/pdm_planner/scoring/pdm_scorer_utils.py", "license": "apache-2.0", "size": 2314} |
### File: sledge/simulation/planner/pdm_planner/simulation/batch_kinematic_bicycle.py
import copy
import numpy as np
import numpy.typing as npt
from nuplan.common.actor_state.ego_state import EgoState
from nuplan.common.actor_state.state_representation import TimePoint
from nuplan.common.actor_state.vehicle_parameter... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/simulation/planner/pdm_planner/simulation/batch_kinematic_bicycle.py", "license": "apache-2.0", "size": 736... |
### File: sledge/simulation/planner/pdm_planner/simulation/batch_lqr.py
from enum import IntEnum
from typing import Optional, Tuple
import numpy as np
import numpy.typing as npt
from nuplan.common.actor_state.vehicle_parameters import VehicleParameters, get_pacifica_parameters
from nuplan.planning.simulation.simulati... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/simulation/planner/pdm_planner/simulation/batch_lqr.py", "license": "apache-2.0", "size": 21549} |
### File: sledge/simulation/planner/pdm_planner/simulation/batch_lqr_utils.py
from typing import Tuple
import numpy as np
import numpy.typing as npt
from sledge.simulation.planner.pdm_planner.utils.pdm_geometry_utils import normalize_angle
# Utils functions for BatchLQRTracker
# Code re-written based on nuPlan's imp... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/simulation/planner/pdm_planner/simulation/batch_lqr_utils.py", "license": "apache-2.0", "size": 11645} |
### File: sledge/simulation/planner/pdm_planner/simulation/pdm_simulator.py
import numpy as np
import numpy.typing as npt
from nuplan.common.actor_state.ego_state import EgoState
from nuplan.common.actor_state.state_representation import TimeDuration, TimePoint
from nuplan.planning.simulation.simulation_time_controlle... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/simulation/planner/pdm_planner/simulation/pdm_simulator.py", "license": "apache-2.0", "size": 3354} |
### File: sledge/simulation/planner/pdm_planner/utils/graph_search/bfs_roadblock.py
from collections import deque
from typing import Dict, List, Optional, Tuple, Union
from nuplan.common.maps.abstract_map import AbstractMap
from nuplan.common.maps.abstract_map_objects import RoadBlockGraphEdgeMapObject
class Breadth... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/simulation/planner/pdm_planner/utils/graph_search/bfs_roadblock.py", "license": "apache-2.0", "size": 5335} |
### File: sledge/simulation/planner/pdm_planner/utils/graph_search/dijkstra.py
from typing import Dict, List, Optional, Tuple
import numpy as np
from nuplan.common.maps.abstract_map_objects import LaneGraphEdgeMapObject, RoadBlockGraphEdgeMapObject
class Dijkstra:
"""
A class that performs dijkstra's shortes... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/simulation/planner/pdm_planner/utils/graph_search/dijkstra.py", "license": "apache-2.0", "size": 5977} |
### File: sledge/simulation/planner/pdm_planner/utils/pdm_array_representation.py
from typing import List
import numpy as np
import numpy.typing as npt
import shapely
from nuplan.common.actor_state.ego_state import EgoState
from nuplan.common.actor_state.state_representation import StateSE2, StateVector2D, TimePoint
... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/simulation/planner/pdm_planner/utils/pdm_array_representation.py", "license": "apache-2.0", "size": 7855} |
### File: sledge/simulation/planner/pdm_planner/utils/pdm_emergency_brake.py
from typing import Optional
import numpy as np
import numpy.typing as npt
from nuplan.common.actor_state.ego_state import EgoState
from nuplan.common.actor_state.state_representation import StateSE2, StateVector2D, TimePoint
from nuplan.comm... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/simulation/planner/pdm_planner/utils/pdm_emergency_brake.py", "license": "apache-2.0", "size": 5431} |
### File: sledge/simulation/planner/pdm_planner/utils/pdm_enums.py
from enum import IntEnum
class StateIndex:
"""Index mapping for array representation of ego states."""
_X = 0
_Y = 1
_HEADING = 2
_VELOCITY_X = 3
_VELOCITY_Y = 4
_ACCELERATION_X = 5
_ACCELERATION_Y = 6
_STEERING_AN... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/simulation/planner/pdm_planner/utils/pdm_enums.py", "license": "apache-2.0", "size": 3528} |
### File: sledge/simulation/planner/pdm_planner/utils/pdm_geometry_utils.py
from typing import List
import numpy as np
import numpy.typing as npt
from nuplan.common.actor_state.state_representation import StateSE2
from sledge.simulation.planner.pdm_planner.utils.pdm_enums import SE2Index
def normalize_angle(angle)... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/simulation/planner/pdm_planner/utils/pdm_geometry_utils.py", "license": "apache-2.0", "size": 3368} |
### File: sledge/simulation/planner/pdm_planner/utils/pdm_path.py
from typing import Any, List, Union
import numpy as np
import numpy.typing as npt
from scipy.interpolate import interp1d
from shapely.creation import linestrings
from shapely.geometry import LineString
from shapely.ops import substring
from nuplan.comm... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/simulation/planner/pdm_planner/utils/pdm_path.py", "license": "apache-2.0", "size": 3586} |
### File: sledge/simulation/planner/pdm_planner/utils/route_utils.py
from typing import Dict, List, Tuple
import numpy as np
from nuplan.common.actor_state.ego_state import EgoState
from nuplan.common.actor_state.state_representation import StateSE2
from nuplan.common.maps.abstract_map import AbstractMap
from nuplan.... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/simulation/planner/pdm_planner/utils/route_utils.py", "license": "apache-2.0", "size": 9466} |
### File: sledge/simulation/scenarios/sledge_scenario/sledge_scenario.py
from __future__ import annotations
# import warnings
from pathlib import Path
from typing import Any, Generator, List, Optional, Set, Tuple, Type, cast
import numpy as np
from shapely.geometry import Point
from nuplan.planning.scenario_builder.... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/simulation/scenarios/sledge_scenario/sledge_scenario.py", "license": "apache-2.0", "size": 13495} |
### File: sledge/simulation/scenarios/sledge_scenario/sledge_scenario_utils.py
from typing import List, Optional, Tuple
import numpy as np
import numpy.typing as npt
import networkx as nx
from nuplan.common.actor_state.agent import Agent
from nuplan.common.actor_state.state_representation import StateSE2
from nuplan.... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/simulation/scenarios/sledge_scenario/sledge_scenario_utils.py", "license": "apache-2.0", "size": 11691} |
### File: sledge/sledgeboard/base/base_tab.py
import logging
import pathlib
from typing import Any, List, Optional
from bokeh.document.document import Document
from bokeh.models import CheckboxGroup, MultiChoice
from bokeh.plotting.figure import Figure
from sledge.sledgeboard.base.data_class import SelectedMetricStat... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/sledgeboard/base/base_tab.py", "license": "apache-2.0", "size": 9621} |
### File: sledge/sledgeboard/base/data_class.py
from __future__ import annotations
import pathlib
import pickle
from dataclasses import dataclass
from typing import Dict, List, Optional
from nuplan.common.utils.io_utils import save_object_as_pickle
from nuplan.planning.metrics.metric_dataframe import MetricStatistics... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/sledgeboard/base/data_class.py", "license": "apache-2.0", "size": 4258} |
### File: sledge/sledgeboard/base/experiment_file_data.py
import logging
from collections import defaultdict
from dataclasses import dataclass, field
from pathlib import Path
from typing import Any, Dict, List
import pandas as pd
from bokeh.palettes import Dark2, Pastel1, Pastel2, Set1, Set2, Set3
from nuplan.plannin... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/sledgeboard/base/experiment_file_data.py", "license": "apache-2.0", "size": 13306} |
### File: sledge/sledgeboard/base/plot_data.py
from __future__ import annotations
import abc
import threading
from dataclasses import dataclass, field
from typing import Any, Dict, List, NamedTuple, Optional, Union
import numpy as np
from bokeh.document import Document
from bokeh.models import Button, ColumnDataSourc... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/sledgeboard/base/plot_data.py", "license": "apache-2.0", "size": 44393} |
### File: sledge/sledgeboard/base/simulation_tile.py
import concurrent.futures
import json
import logging
import lzma
import math
import os
import pathlib
import pickle
import threading
import time
from concurrent.futures import ThreadPoolExecutor
from functools import partial
from pathlib import Path
from typing impor... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/sledgeboard/base/simulation_tile.py", "license": "apache-2.0", "size": 41940} |
### File: sledge/sledgeboard/resource/css/cloud.css
.cloud-input-form {
display: None;
position: fixed;
left: 30%;
top: 20%;
z-index: 3000;
}
.cloud-tab-section {
height: 95vh;
width: 100%;
}
.cloud-tab-section a {
color: #DE7061;
}
.col-extend-height {
height: 100%;
width: 100%;
}
.panel-body-... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "CSS", "repo_name": "minhanghuang/sledge", "path": "sledge/sledgeboard/resource/css/cloud.css", "license": "apache-2.0", "size": 2850} |
### File: sledge/sledgeboard/resource/css/histogram.css
.histogram-setting-form {
display: None;
position: fixed;
left: 30%;
top: 20%;
z-index: 3000;
}
.histogram-setting-form .modal-body .input-group .bk-root {
width: 100%;
}
.histogram-bin-spinner {
width: 100% !important;
}
.histogram-tab-modal-quer... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "CSS", "repo_name": "minhanghuang/sledge", "path": "sledge/sledgeboard/resource/css/histogram.css", "license": "apache-2.0", "size": 1497} |
### File: sledge/sledgeboard/resource/css/overview.css
.overview-table {
width: 100% !important;
height: 100% !important;
margin: auto !important;
overflow-y: auto;
overflow-x: auto;
box-sizing: border-box !important;
}
.overview-table .slick-cell {
border-right: 1px solid #ddd;
word-wrap: break-word;
... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "CSS", "repo_name": "minhanghuang/sledge", "path": "sledge/sledgeboard/resource/css/overview.css", "license": "apache-2.0", "size": 1504} |
### File: sledge/sledgeboard/resource/css/scenario.css
.panel-primary>.panel-heading {
color: #fff;
background-color: #DE7061;
border-color: #DE7061;
}
.panel-primary {
border-color: #DE7061;
}
.scenario-setting-form {
display: None;
position: fixed;
left: 30%;
top: 20%;
z-index: 3000;
}
.scenario-... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "CSS", "repo_name": "minhanghuang/sledge", "path": "sledge/sledgeboard/resource/css/scenario.css", "license": "apache-2.0", "size": 5417} |
### File: sledge/sledgeboard/resource/scripts/utils.js
function openTab(evt, tab_name) {
var i, tab_content, header_bar_tab_btn;
tab_content = document.getElementsByClassName("tab-content");
const navEles = document.getElementsByClassName("nav-item");
for (const navEle of navEles) {
const navName = navEle.... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "JavaScript", "repo_name": "minhanghuang/sledge", "path": "sledge/sledgeboard/resource/scripts/utils.js", "license": "apache-2.0", "size": 2265} |
### File: sledge/sledgeboard/resource/style.css
body {
font-family: "Open Sans", sans-serif;
}
.overlay {
position: fixed;
/* Positioning and size */
top: 0;
left: 0;
width: 100vw;
height: 100vh;
background-color: rgba(128, 128, 128, 0.5);
/* color */
display: none;
/* making it hidden by default... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "CSS", "repo_name": "minhanghuang/sledge", "path": "sledge/sledgeboard/resource/style.css", "license": "apache-2.0", "size": 4022} |
### File: sledge/sledgeboard/sledgeboard.py
import logging
import os
import signal
from pathlib import Path
from typing import Any, List, Optional
import jinja2
from bokeh.application import Application
from bokeh.application.handlers import FunctionHandler
from bokeh.document.document import Document
from bokeh.serve... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/sledgeboard/sledgeboard.py", "license": "apache-2.0", "size": 8633} |
### File: sledge/sledgeboard/style.py
from typing import Any, Dict
from nuplan.common.maps.abstract_map import SemanticMapLayer
PLOT_PALETTE: Dict[str, str] = {
"font_lavender_gray": "#adb9e3",
"font_white": "#c9eaf1",
"background_white": "#fafafa",
"background_black": "#000000",
"chart_green": "#... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/sledgeboard/style.py", "license": "apache-2.0", "size": 6060} |
### File: sledge/sledgeboard/tabs/cloud_tab.py
import hashlib
import logging
import os
import time
from functools import partial
from pathlib import Path
from typing import Any, Dict, List, Optional
import boto3
from bokeh.document.document import Document
from bokeh.models import Button, ColumnDataSource, DataTable, ... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/sledgeboard/tabs/cloud_tab.py", "license": "apache-2.0", "size": 16115} |
### File: sledge/sledgeboard/tabs/config/cloud_tab_config.py
from dataclasses import dataclass
from typing import Any, ClassVar, Dict, List, Optional
from bokeh.models import HTMLTemplateFormatter
@dataclass(frozen=True)
class S3TabBucketNameConfig:
"""Config for s3 tab bucket name div tag."""
text: ClassVa... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/sledgeboard/tabs/config/cloud_tab_config.py", "license": "apache-2.0", "size": 7226} |
### File: sledge/sledgeboard/tabs/config/histogram_tab_config.py
from dataclasses import dataclass
from typing import Any, ClassVar, Dict, List, Optional, Tuple
import numpy as np
import numpy.typing as npt
from bokeh.plotting import Figure
from sledge.sledgeboard.style import PLOT_PALETTE
@dataclass
class Histogra... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/sledgeboard/tabs/config/histogram_tab_config.py", "license": "apache-2.0", "size": 8989} |
### File: sledge/sledgeboard/tabs/config/overview_tab_config.py
from dataclasses import dataclass
from typing import Any, ClassVar, Dict, List, Optional
OVERVIEW_PLANNER_CHECKBOX_GROUP_NAME = 'overview_planner_checkbox_group'
@dataclass
class OverviewAggregatorData:
"""Aggregator metric data in the overview tab.... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/sledgeboard/tabs/config/overview_tab_config.py", "license": "apache-2.0", "size": 3263} |
### File: sledge/sledgeboard/tabs/config/scenario_tab_config.py
from dataclasses import dataclass, field
from typing import Any, ClassVar, Dict, List, Tuple
@dataclass(frozen=True)
class ScenarioTabTitleDivConfig:
"""Config for the scenario tab title div tag."""
text: ClassVar[str] = "-"
name: ClassVar[s... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/sledgeboard/tabs/config/scenario_tab_config.py", "license": "apache-2.0", "size": 2566} |
### File: sledge/sledgeboard/tabs/configuration_tab.py
import base64
import io
import logging
import pathlib
import pickle
from pathlib import Path
from typing import Any, List
from bokeh.document.document import Document
from bokeh.models import CheckboxGroup, FileInput
from sledge.sledgeboard.base.base_tab import B... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/sledgeboard/tabs/configuration_tab.py", "license": "apache-2.0", "size": 5118} |
### File: sledge/sledgeboard/tabs/histogram_tab.py
import logging
from collections import defaultdict
from copy import deepcopy
from typing import Any, Dict, List, Optional, Union
import numpy as np
import numpy.typing as npt
from bokeh.document.document import Document
from bokeh.layouts import column, gridplot, layo... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/sledgeboard/tabs/histogram_tab.py", "license": "apache-2.0", "size": 32509} |
### File: sledge/sledgeboard/tabs/js_code/cloud_tab_js_code.py
from dataclasses import dataclass
from bokeh.models import ColumnDataSource, CustomJS, TextInput
@dataclass(frozen=True)
class S3TabLoadingJSCode:
"""JS code when loading."""
@classmethod
def get_js_code(cls) -> CustomJS:
"""Get a cu... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/sledgeboard/tabs/js_code/cloud_tab_js_code.py", "license": "apache-2.0", "size": 3925} |
### File: sledge/sledgeboard/tabs/js_code/histogram_tab_js_code.py
from dataclasses import dataclass
from bokeh.models.callbacks import CustomJS
@dataclass(frozen=True)
class HistogramTabLoadingJSCode:
"""JS when loading in the histogram tab."""
@classmethod
def get_js_code(cls) -> CustomJS:
"""... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/sledgeboard/tabs/js_code/histogram_tab_js_code.py", "license": "apache-2.0", "size": 1697} |
### File: sledge/sledgeboard/tabs/js_code/scenario_tab_js_code.py
from dataclasses import dataclass
from bokeh.models.callbacks import CustomJS
@dataclass(frozen=True)
class ScenarioTabLoadingJSCode:
"""JS when loading simulation in the scenario tab."""
@classmethod
def get_js_code(cls) -> CustomJS:
... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/sledgeboard/tabs/js_code/scenario_tab_js_code.py", "license": "apache-2.0", "size": 1655} |
### File: sledge/sledgeboard/tabs/overview_tab.py
import logging
from collections import defaultdict
from typing import Any, Dict, List
import numpy as np
from bokeh.document.document import Document
from bokeh.models import ColumnDataSource, DataTable, TableColumn
from sledge.sledgeboard.base.base_tab import BaseTab... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/sledgeboard/tabs/overview_tab.py", "license": "apache-2.0", "size": 9776} |
### File: sledge/sledgeboard/tabs/scenario_tab.py
import logging
import time
from collections import defaultdict
from dataclasses import dataclass
from itertools import chain
from math import ceil
from typing import Any, Dict, List, Optional, cast
import numpy as np
import numpy.typing as npt
import pandas
from bokeh.... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/sledgeboard/tabs/scenario_tab.py", "license": "apache-2.0", "size": 54638} |
### File: sledge/sledgeboard/templates/index.html
<!DOCTYPE html>
<html lang="en">
{% extends base %} {% block head %}
<head>
<meta name="viewport" content="width=device-width, initial-scale=1" />
{% block inner_head %}
<link rel="stylesheet" href="resource/spectre.min.css" />
<link rel="stylesheet"... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "HTML", "repo_name": "minhanghuang/sledge", "path": "sledge/sledgeboard/templates/index.html", "license": "apache-2.0", "size": 3576} |
### File: sledge/sledgeboard/templates/tabs/cloud.html
<!DOCTYPE html>
<html lang="en">
<title>S3 Explorer</title>
<head>
<title>Cloud</title>
</head>
<div class="tab-content" id="cloud">
<div class="loading loading-lg" id="cloud-modal-loading"></div>
<div class="modal-dialog cloud-input-form" id="c... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "HTML", "repo_name": "minhanghuang/sledge", "path": "sledge/sledgeboard/templates/tabs/cloud.html", "license": "apache-2.0", "size": 5225} |
### File: sledge/sledgeboard/templates/tabs/histogram.html
<!DOCTYPE html>
<html lang="en">
<div class="tab-content" id="histograms">
<div class="loading loading-lg" id="histogram-loading"></div>
<div class="modal-dialog histogram-setting-form" id="histogram-setting-form">
<div class="modal-conte... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "HTML", "repo_name": "minhanghuang/sledge", "path": "sledge/sledgeboard/templates/tabs/histogram.html", "license": "apache-2.0", "size": 3868} |
### File: sledge/sledgeboard/templates/tabs/overview.html
<!DOCTYPE html>
<html lang="en">
<div class="tab-content" id="overview" style="display:block">
<div class="overview-section" id="overview-section">
<div class="col-lg-12 col-extend-height">
<div class="panel panel-primary dropzone pan... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "HTML", "repo_name": "minhanghuang/sledge", "path": "sledge/sledgeboard/templates/tabs/overview.html", "license": "apache-2.0", "size": 1055} |
### File: sledge/sledgeboard/templates/tabs/scenario.html
<!DOCTYPE html>
<html lang="en">
<div class="tab-content" id="scenarios">
<div class="loading loading-lg" id="scenario-loading"></div>
<div class="modal-dialog scenario-setting-form" id="scenario-setting-form">
<div class="modal-content">
... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "HTML", "repo_name": "minhanghuang/sledge", "path": "sledge/sledgeboard/templates/tabs/scenario.html", "license": "apache-2.0", "size": 10118} |
### File: sledge/sledgeboard/utils/sledgeboard_cloud_utils.py
from __future__ import annotations
import io
import logging
import os
import pickle
from dataclasses import dataclass
from datetime import datetime, timezone
from pathlib import Path
from typing import Any, Dict, Optional
from urllib import parse
import bo... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/sledgeboard/utils/sledgeboard_cloud_utils.py", "license": "apache-2.0", "size": 10776} |
### File: sledge/sledgeboard/utils/sledgeboard_histogram_utils.py
import logging
from collections import defaultdict
from typing import Dict, List, Optional, Tuple, Union
import numpy as np
import numpy.typing as npt
import pandas as pd
from bokeh.models import FactorRange
from nuplan.planning.metrics.metric_datafram... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/sledgeboard/utils/sledgeboard_histogram_utils.py", "license": "apache-2.0", "size": 12280} |
### File: sledge/sledgeboard/utils/utils.py
import logging
from pathlib import Path
from typing import List
import pandas as pd
from nuplan.planning.metrics.metric_dataframe import MetricStatisticsDataFrame
from sledge.sledgeboard.base.data_class import SledgeBoardFile
logger = logging.getLogger(__name__)
def metr... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/sledge", "path": "sledge/sledgeboard/utils/utils.py", "license": "apache-2.0", "size": 2634} |
### File: projects/configs/sparsedrive_small_stage1.py
# ================ base config ===================
version = 'mini'
version = 'trainval'
length = {'trainval': 28130, 'mini': 323}
plugin = True
plugin_dir = "projects/mmdet3d_plugin/"
dist_params = dict(backend="nccl")
log_level = "INFO"
work_dir = None
total_ba... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/configs/sparsedrive_small_stage1.py", "license": "mit", "size": 22232} |
### File: projects/configs/sparsedrive_small_stage2.py
# ================ base config ===================
version = 'mini'
version = 'trainval'
length = {'trainval': 28130, 'mini': 323}
plugin = True
plugin_dir = "projects/mmdet3d_plugin/"
dist_params = dict(backend="nccl")
log_level = "INFO"
work_dir = None
total_ba... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/configs/sparsedrive_small_stage2.py", "license": "mit", "size": 22334} |
### File: projects/mmdet3d_plugin/__init__.py
from .datasets import *
from .models import *
from .apis import *
from .core.evaluation import *
| {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/__init__.py", "license": "mit", "size": 97} |
### File: projects/mmdet3d_plugin/apis/__init__.py
from .train import custom_train_model
from .mmdet_train import custom_train_detector
# from .test import custom_multi_gpu_test
| {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/apis/__init__.py", "license": "mit", "size": 128} |
### File: projects/mmdet3d_plugin/apis/mmdet_train.py
# ---------------------------------------------
# Copyright (c) OpenMMLab. All rights reserved.
# ---------------------------------------------
# Modified by Zhiqi Li
# ---------------------------------------------
import random
import warnings
import numpy as np
... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/apis/mmdet_train.py", "license": "mit", "size": 7038} |
### File: projects/mmdet3d_plugin/apis/test.py
# ---------------------------------------------
# Copyright (c) OpenMMLab. All rights reserved.
# ---------------------------------------------
# Modified by Zhiqi Li
# ---------------------------------------------
import os.path as osp
import pickle
import shutil
import ... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/apis/test.py", "license": "mit", "size": 5960} |
### File: projects/mmdet3d_plugin/apis/train.py
# ---------------------------------------------
# Copyright (c) OpenMMLab. All rights reserved.
# ---------------------------------------------
# Modified by Zhiqi Li
# ---------------------------------------------
from .mmdet_train import custom_train_detector
# from m... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/apis/train.py", "license": "mit", "size": 1441} |
### File: projects/mmdet3d_plugin/core/box3d.py
X, Y, Z, W, L, H, SIN_YAW, COS_YAW, VX, VY, VZ = list(range(11)) # undecoded
CNS, YNS = 0, 1 # centerness and yawness indices in quality
YAW = 6 # decoded
| {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/core/box3d.py", "license": "mit", "size": 158} |
### File: projects/mmdet3d_plugin/core/evaluation/__init__.py
from .eval_hooks import CustomDistEvalHook | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/core/evaluation/__init__.py", "license": "mit", "size": 42} |
### File: projects/mmdet3d_plugin/core/evaluation/eval_hooks.py
# Note: Considering that MMCV's EvalHook updated its interface in V1.3.16,
# in order to avoid strong version dependency, we did not directly
# inherit EvalHook but BaseDistEvalHook.
import bisect
import os.path as osp
import mmcv
import torch.distribute... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/core/evaluation/eval_hooks.py", "license": "mit", "size": 3603} |
### File: projects/mmdet3d_plugin/datasets/__init__.py
from .nuscenes_3d_dataset import NuScenes3DDataset
from .builder import *
from .pipelines import *
from .samplers import *
__all__ = [
'NuScenes3DDataset',
"custom_build_dataset",
]
| {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/datasets/__init__.py", "license": "mit", "size": 191} |
### File: projects/mmdet3d_plugin/datasets/builder.py
import copy
import platform
import random
from functools import partial
import numpy as np
from mmcv.parallel import collate
from mmcv.runner import get_dist_info
from mmcv.utils import Registry, build_from_cfg
from torch.utils.data import DataLoader
from mmdet.da... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/datasets/builder.py", "license": "mit", "size": 6126} |
### File: projects/mmdet3d_plugin/datasets/evaluation/map/AP.py
import numpy as np
from .distance import chamfer_distance, frechet_distance, chamfer_distance_batch
from typing import List, Tuple, Union
from numpy.typing import NDArray
def average_precision(recalls, precisions, mode='area'):
"""Calculate average pr... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/datasets/evaluation/map/AP.py", "license": "mit", "size": 4574} |
### File: projects/mmdet3d_plugin/datasets/evaluation/map/distance.py
from scipy.spatial import distance
from numpy.typing import NDArray
import torch
def chamfer_distance(line1: NDArray, line2: NDArray) -> float:
''' Calculate chamfer distance between two lines. Make sure the
lines are interpolated.
Arg... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/datasets/evaluation/map/distance.py", "license": "mit", "size": 2143} |
### File: projects/mmdet3d_plugin/datasets/evaluation/map/vector_eval.py
import prettytable
from typing import Dict, List, Optional
from time import time
from copy import deepcopy
from multiprocessing import Pool
from logging import Logger
from functools import partial, cached_property
import numpy as np
from numpy.ty... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/datasets/evaluation/map/vector_eval.py", "license": "mit", "size": 10645} |
### File: projects/mmdet3d_plugin/datasets/evaluation/motion/motion_eval_uniad.py
# nuScenes dev-kit.
# Code written by Holger Caesar & Oscar Beijbom, 2018.
import argparse
import json
import os
import random
import time
import tqdm
from typing import Tuple, Dict, Any
import numpy as np
from nuscenes import NuScenes... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/datasets/evaluation/motion/motion_eval_uniad.py", "license": "mit", "size": 11790} |
### File: projects/mmdet3d_plugin/datasets/evaluation/motion/motion_utils.py
# nuScenes dev-kit.
# Code written by Holger Caesar & Oscar Beijbom, 2018.
import argparse
import json
import os
import random
import time
import tqdm
from typing import Tuple, Dict, Any, Callable
import numpy as np
from nuscenes import NuS... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/datasets/evaluation/motion/motion_utils.py", "license": "mit", "size": 26684} |
### File: projects/mmdet3d_plugin/datasets/evaluation/planning/planning_eval.py
from tqdm import tqdm
import torch
import torch.nn as nn
import numpy as np
from shapely.geometry import Polygon
from mmcv.utils import print_log
from mmdet.datasets import build_dataset, build_dataloader
from projects.mmdet3d_plugin.data... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/datasets/evaluation/planning/planning_eval.py", "license": "mit", "size": 6440} |
### File: projects/mmdet3d_plugin/datasets/map_utils/nuscmap_extractor.py
from shapely.geometry import LineString, box, Polygon
from shapely import ops, strtree
import numpy as np
from nuscenes.map_expansion.map_api import NuScenesMap, NuScenesMapExplorer
from nuscenes.eval.common.utils import quaternion_yaw
from pyqu... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/datasets/map_utils/nuscmap_extractor.py", "license": "mit", "size": 6118} |
### File: projects/mmdet3d_plugin/datasets/map_utils/utils.py
from shapely.geometry import LineString, box, Polygon, LinearRing
from shapely.geometry.base import BaseGeometry
from shapely import ops
import numpy as np
from scipy.spatial import distance
from typing import List, Optional, Tuple
from numpy.typing import N... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/datasets/map_utils/utils.py", "license": "mit", "size": 3967} |
### File: projects/mmdet3d_plugin/datasets/nuscenes_3d_dataset.py
import random
import math
import os
from os import path as osp
import cv2
import tempfile
import copy
import prettytable
import numpy as np
import torch
from torch.utils.data import Dataset
import pyquaternion
from shapely.geometry import LineString
fro... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/datasets/nuscenes_3d_dataset.py", "license": "mit", "size": 42137} |
### File: projects/mmdet3d_plugin/datasets/pipelines/__init__.py
from .transform import (
InstanceNameFilter,
CircleObjectRangeFilter,
NormalizeMultiviewImage,
NuScenesSparse4DAdaptor,
MultiScaleDepthMapGenerator,
)
from .augment import (
ResizeCropFlipImage,
BBoxRotation,
PhotoMetricDis... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/datasets/pipelines/__init__.py", "license": "mit", "size": 725} |
### File: projects/mmdet3d_plugin/datasets/pipelines/augment.py
import torch
import numpy as np
from numpy import random
import mmcv
from mmdet.datasets.builder import PIPELINES
from PIL import Image
@PIPELINES.register_module()
class ResizeCropFlipImage(object):
def __call__(self, results):
aug_config =... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/datasets/pipelines/augment.py", "license": "mit", "size": 8141} |
### File: projects/mmdet3d_plugin/datasets/pipelines/loading.py
import numpy as np
import mmcv
from mmdet.datasets.builder import PIPELINES
@PIPELINES.register_module()
class LoadMultiViewImageFromFiles(object):
"""Load multi channel images from a list of separate channel files.
Expects results['img_filename... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/datasets/pipelines/loading.py", "license": "mit", "size": 6891} |
### File: projects/mmdet3d_plugin/datasets/pipelines/transform.py
import numpy as np
import mmcv
from mmcv.parallel import DataContainer as DC
from mmdet.datasets.builder import PIPELINES
from mmdet.datasets.pipelines import to_tensor
@PIPELINES.register_module()
class MultiScaleDepthMapGenerator(object):
def __i... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/datasets/pipelines/transform.py", "license": "mit", "size": 8855} |
### File: projects/mmdet3d_plugin/datasets/pipelines/vectorize.py
from typing import List, Tuple, Union, Dict
import numpy as np
from shapely.geometry import LineString
from numpy.typing import NDArray
from mmcv.parallel import DataContainer as DC
from mmdet.datasets.builder import PIPELINES
@PIPELINES.register_mod... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/datasets/pipelines/vectorize.py", "license": "mit", "size": 7673} |
### File: projects/mmdet3d_plugin/datasets/samplers/__init__.py
from .group_sampler import DistributedGroupSampler
from .distributed_sampler import DistributedSampler
from .sampler import SAMPLER, build_sampler
from .group_in_batch_sampler import (
GroupInBatchSampler,
)
| {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/datasets/samplers/__init__.py", "license": "mit", "size": 212} |
### File: projects/mmdet3d_plugin/datasets/samplers/distributed_sampler.py
import math
import torch
from torch.utils.data import DistributedSampler as _DistributedSampler
from .sampler import SAMPLER
import pdb
import sys
class ForkedPdb(pdb.Pdb):
def interaction(self, *args, **kwargs):
_stdin = sys.std... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/datasets/samplers/distributed_sampler.py", "license": "mit", "size": 2567} |
### File: projects/mmdet3d_plugin/datasets/samplers/group_in_batch_sampler.py
# https://github.com/Divadi/SOLOFusion/blob/main/mmdet3d/datasets/samplers/infinite_group_each_sample_in_batch_sampler.py
import itertools
import copy
import numpy as np
import torch
import torch.distributed as dist
from mmcv.runner import g... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/datasets/samplers/group_in_batch_sampler.py", "license": "mit", "size": 6560} |
### File: projects/mmdet3d_plugin/datasets/samplers/group_sampler.py
# Copyright (c) OpenMMLab. All rights reserved.
import math
import numpy as np
import torch
from mmcv.runner import get_dist_info
from torch.utils.data import Sampler
from .sampler import SAMPLER
import random
from IPython import embed
@SAMPLER.reg... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/datasets/samplers/group_sampler.py", "license": "mit", "size": 4133} |
### File: projects/mmdet3d_plugin/datasets/samplers/sampler.py
from mmcv.utils.registry import Registry, build_from_cfg
SAMPLER = Registry("sampler")
def build_sampler(cfg, default_args):
return build_from_cfg(cfg, SAMPLER, default_args)
| {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/datasets/samplers/sampler.py", "license": "mit", "size": 182} |
### File: projects/mmdet3d_plugin/datasets/utils.py
import copy
import cv2
import numpy as np
import torch
from projects.mmdet3d_plugin.core.box3d import *
def box3d_to_corners(box3d):
if isinstance(box3d, torch.Tensor):
box3d = box3d.detach().cpu().numpy()
corners_norm = np.stack(np.unravel_index(n... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/datasets/utils.py", "license": "mit", "size": 7576} |
### File: projects/mmdet3d_plugin/models/__init__.py
from .sparsedrive import SparseDrive
from .sparsedrive_head import SparseDriveHead
from .blocks import (
DeformableFeatureAggregation,
DenseDepthNet,
AsymmetricFFN,
)
from .instance_bank import InstanceBank
from .detection3d import (
SparseBox3DDecode... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/models/__init__.py", "license": "mit", "size": 733} |
### File: projects/mmdet3d_plugin/models/attention.py
import warnings
import math
import torch
import torch.nn as nn
from torch.nn.functional import linear
from torch.nn.init import xavier_uniform_, constant_
from mmcv.utils import deprecated_api_warning
from mmcv.runner import auto_fp16
from mmcv.runner.base_module ... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/models/attention.py", "license": "mit", "size": 13164} |
### File: projects/mmdet3d_plugin/models/base_target.py
from abc import ABC, abstractmethod
__all__ = ["BaseTargetWithDenoising"]
class BaseTargetWithDenoising(ABC):
def __init__(self, num_dn_groups=0, num_temp_dn_groups=0):
super(BaseTargetWithDenoising, self).__init__()
self.num_dn_groups = nu... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/models/base_target.py", "license": "mit", "size": 1543} |
### File: projects/mmdet3d_plugin/models/blocks.py
from typing import List, Optional, Tuple
import numpy as np
import torch
import torch.nn as nn
from torch.cuda.amp.autocast_mode import autocast
from mmcv.cnn import Linear, build_activation_layer, build_norm_layer
from mmcv.runner.base_module import Sequential, Base... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/models/blocks.py", "license": "mit", "size": 13329} |
### File: projects/mmdet3d_plugin/models/detection3d/__init__.py
from .decoder import SparseBox3DDecoder
from .target import SparseBox3DTarget
from .detection3d_blocks import (
SparseBox3DRefinementModule,
SparseBox3DKeyPointsGenerator,
SparseBox3DEncoder,
)
from .losses import SparseBox3DLoss
from .detecti... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/models/detection3d/__init__.py", "license": "mit", "size": 285} |
### File: projects/mmdet3d_plugin/models/detection3d/decoder.py
from typing import Optional
import torch
from mmdet.core.bbox.builder import BBOX_CODERS
from projects.mmdet3d_plugin.core.box3d import *
def decode_box(box):
yaw = torch.atan2(box[..., SIN_YAW], box[..., COS_YAW])
box = torch.cat(
[
... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/models/detection3d/decoder.py", "license": "mit", "size": 3472} |
### File: projects/mmdet3d_plugin/models/detection3d/detection3d_blocks.py
import torch
import torch.nn as nn
import numpy as np
from mmcv.cnn import Linear, Scale, bias_init_with_prob
from mmcv.runner.base_module import Sequential, BaseModule
from mmcv.cnn import xavier_init
from mmcv.cnn.bricks.registry import (
... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/models/detection3d/detection3d_blocks.py", "license": "mit", "size": 10352} |
### File: projects/mmdet3d_plugin/models/detection3d/detection3d_head.py
from typing import List, Optional, Tuple, Union
import warnings
import numpy as np
import torch
import torch.nn as nn
from mmcv.cnn.bricks.registry import (
ATTENTION,
PLUGIN_LAYERS,
POSITIONAL_ENCODING,
FEEDFORWARD_NETWORK,
... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/models/detection3d/detection3d_head.py", "license": "mit", "size": 20109} |
### File: projects/mmdet3d_plugin/models/detection3d/losses.py
import torch
import torch.nn as nn
from mmcv.utils import build_from_cfg
from mmdet.models.builder import LOSSES
from projects.mmdet3d_plugin.core.box3d import *
@LOSSES.register_module()
class SparseBox3DLoss(nn.Module):
def __init__(
self,... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/models/detection3d/losses.py", "license": "mit", "size": 2952} |
### File: projects/mmdet3d_plugin/models/detection3d/target.py
import torch
import numpy as np
import torch.nn.functional as F
from scipy.optimize import linear_sum_assignment
from mmdet.core.bbox.builder import BBOX_SAMPLERS
from projects.mmdet3d_plugin.core.box3d import *
from ..base_target import BaseTargetWithDen... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/models/detection3d/target.py", "license": "mit", "size": 16024} |
### File: projects/mmdet3d_plugin/models/grid_mask.py
import torch
import torch.nn as nn
import numpy as np
from PIL import Image
class Grid(object):
def __init__(
self, use_h, use_w, rotate=1, offset=False, ratio=0.5, mode=0, prob=1.0
):
self.use_h = use_h
self.use_w = use_w
s... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/models/grid_mask.py", "license": "mit", "size": 4090} |
### File: projects/mmdet3d_plugin/models/instance_bank.py
import torch
from torch import nn
import torch.nn.functional as F
import numpy as np
from mmcv.utils import build_from_cfg
from mmcv.cnn.bricks.registry import PLUGIN_LAYERS
__all__ = ["InstanceBank"]
def topk(confidence, k, *inputs):
bs, N = confidence.... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/models/instance_bank.py", "license": "mit", "size": 9310} |
### File: projects/mmdet3d_plugin/models/map/__init__.py
from .decoder import SparsePoint3DDecoder
from .target import SparsePoint3DTarget, HungarianLinesAssigner
from .match_cost import LinesL1Cost, MapQueriesCost
from .loss import LinesL1Loss, SparseLineLoss
from .map_blocks import (
SparsePoint3DRefinementModule... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/models/map/__init__.py", "license": "mit", "size": 329} |
### File: projects/mmdet3d_plugin/models/map/decoder.py
from typing import Optional, List
import torch
from mmdet.core.bbox.builder import BBOX_CODERS
@BBOX_CODERS.register_module()
class SparsePoint3DDecoder(object):
def __init__(
self,
coords_dim: int = 2,
score_threshold: Optional[flo... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/models/map/decoder.py", "license": "mit", "size": 1641} |
### File: projects/mmdet3d_plugin/models/map/loss.py
import torch
import torch.nn as nn
from mmcv.utils import build_from_cfg
from mmdet.models.builder import LOSSES
from mmdet.models.losses import l1_loss, smooth_l1_loss
@LOSSES.register_module()
class LinesL1Loss(nn.Module):
def __init__(self, reduction='mean... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/models/map/loss.py", "license": "mit", "size": 3646} |
### File: projects/mmdet3d_plugin/models/map/map_blocks.py
from typing import Optional, List, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from mmcv.cnn import Linear, Scale, bias_init_with_prob
from mmcv.runner.base_module import Sequential, BaseModule
from mmcv.cnn imp... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/models/map/map_blocks.py", "license": "mit", "size": 6594} |
### File: projects/mmdet3d_plugin/models/map/match_cost.py
import torch
from mmdet.core.bbox.match_costs.builder import MATCH_COST
from mmdet.core.bbox.match_costs import build_match_cost
from torch.nn.functional import smooth_l1_loss
@MATCH_COST.register_module()
class LinesL1Cost(object):
"""LinesL1Cost.
A... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/SparseDrive", "path": "projects/mmdet3d_plugin/models/map/match_cost.py", "license": "mit", "size": 3420} |
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