Liezl Maree roomrys

## bip_pulp.py
from pulp import *


def get_solver(pulp_cbc_path=pulp_cbc_path) -> PULP_CBC_CMD:
    """Get the solver with the correct path to the cbc executable.

    https://github.com/coin-or/pulp/issues/62#issuecomment-2712486686

    Args:
        pulp_cbc_path (str): The (incorrect) path to the cbc executable.

## cross_view_tracking_algo_1.py
"""Cross-view tracking Algorithm 1: Tracking procedure for each iteration.

@misc{chen2021crossviewtrackingmultihuman3d,
      title={Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS},
      author={Long Chen and Haizhou Ai and Rui Chen and Zijie Zhuang and Shuang Liu},
      year={2021},
      eprint={2003.03972},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2003.03972},

## sleap_shift_labels_temporally.py
"""Module to shift all labels in a given file by a given amount."""

from __future__ import annotations

from pathlib import Path

import sleap
from sleap import Labels, LabeledFrame, Video

## sleap_instance_groups_from_track_names.py
import sleap
from tqdm import tqdm


def main(ds: str, ds_out: str = None):
    """Removes all InstanceGroups and creates new ones based on track names.

    Args:
        ds: Path to the project file.
        ds_out: Path to the output project file.

## triangulation_timing_vecotrized_vs_looped.py
from __future__ import annotations

import time
from collections.abc import Callable

import numpy as np
import matplotlib.pyplot as plt
from tqdm import tqdm

## triangulation_dlt_vectorized_implementation.py
import numpy as np


extrinsics = np.array(
    [
        [
            [-3.11213376e-01, -6.97047702e-01, 6.45964965e-01, -5.55457784e02],
            [9.26706235e-01, -7.19443053e-02, 3.68835426e-01, -2.94434950e02],
            [-2.10622385e-01, 7.13406278e-01, 6.68348481e-01, -1.90821965e02],
            [0.00000000e00, 0.00000000e00, 0.00000000e00, 1.00000000e00],

## triangulation_dlt_vectorized_formulation.py
import numpy as np

n_cameras = 6
n_coords = 3

# Fill our points and projection matrices with strings so we can verify reshaping
points = np.zeros((n_cameras, n_coords, 2), dtype="U3")
for cam_idx in range(n_cameras):
    for coord_idx in range(n_coords):
        for point_idx in range(2):

## trace_methods_and_attrs_of_class.py
"""Call triangulate function and analyze the traceback of certain functions.

The class containing the methods of interest should be wrapped with the
`trace_method_calls` decorator defined below.

This file serves as an example (excluding the modifications made to the
aniposelib/cameras.py file), follow the TODO instructions below to modify to your needs.
"""

import numpy as np

## sleap_split_labels_into_subsets.py
from __future__ import annotations

import os
import random
from pathlib import Path

import sleap
from sleap import Labels


## sleap_multiview_association.py
"""This module implements cycle consistent matching using pairs of views."""

from __future__ import annotations
from typing import Generator

import cv2
import matplotlib.patches as patches
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
	from pulp import *


	def get_solver(pulp_cbc_path=pulp_cbc_path) -> PULP_CBC_CMD:
	"""Get the solver with the correct path to the cbc executable.

	https://github.com/coin-or/pulp/issues/62#issuecomment-2712486686

	Args:
	pulp_cbc_path (str): The (incorrect) path to the cbc executable.
	"""Cross-view tracking Algorithm 1: Tracking procedure for each iteration.

	@misc{chen2021crossviewtrackingmultihuman3d,
	title={Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS},
	author={Long Chen and Haizhou Ai and Rui Chen and Zijie Zhuang and Shuang Liu},
	year={2021},
	eprint={2003.03972},
	archivePrefix={arXiv},
	primaryClass={cs.CV},
	url={https://arxiv.org/abs/2003.03972},
	"""Module to shift all labels in a given file by a given amount."""

	from __future__ import annotations

	from pathlib import Path

	import sleap
	from sleap import Labels, LabeledFrame, Video
	import sleap
	from tqdm import tqdm


	def main(ds: str, ds_out: str = None):
	"""Removes all InstanceGroups and creates new ones based on track names.

	Args:
	ds: Path to the project file.
	ds_out: Path to the output project file.
	from __future__ import annotations

	import time
	from collections.abc import Callable

	import numpy as np
	import matplotlib.pyplot as plt
	from tqdm import tqdm
	import numpy as np


	extrinsics = np.array(
	[
	[
	[-3.11213376e-01, -6.97047702e-01, 6.45964965e-01, -5.55457784e02],
	[9.26706235e-01, -7.19443053e-02, 3.68835426e-01, -2.94434950e02],
	[-2.10622385e-01, 7.13406278e-01, 6.68348481e-01, -1.90821965e02],
	[0.00000000e00, 0.00000000e00, 0.00000000e00, 1.00000000e00],
	import numpy as np

	n_cameras = 6
	n_coords = 3

	# Fill our points and projection matrices with strings so we can verify reshaping
	points = np.zeros((n_cameras, n_coords, 2), dtype="U3")
	for cam_idx in range(n_cameras):
	for coord_idx in range(n_coords):
	for point_idx in range(2):
	"""Call triangulate function and analyze the traceback of certain functions.

	The class containing the methods of interest should be wrapped with the
	`trace_method_calls` decorator defined below.

	This file serves as an example (excluding the modifications made to the
	aniposelib/cameras.py file), follow the TODO instructions below to modify to your needs.
	"""

	import numpy as np
	from __future__ import annotations

	import os
	import random
	from pathlib import Path

	import sleap
	from sleap import Labels
	"""This module implements cycle consistent matching using pairs of views."""

	from __future__ import annotations
	from typing import Generator

	import cv2
	import matplotlib.patches as patches
	import matplotlib.pyplot as plt
	import numpy as np
	import seaborn as sns