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# Python 3.11.7 Conda build with Tkinter 8.6.13 - Should fix MacOS Sonoma unresponsive-mouse-click issues.
# 
# Modified from https://gist.github.com/space-medicine-lab/17ebe2dee2cc9c26c8907db85bfa220e
#
#
# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: osx-arm64
@EXPLICIT
https://repo.anaconda.com/pkgs/main/osx-arm64/blas-1.0-openblas.conda

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# Author: Peter O'Connor
# This script starts with a pyinstaller spec file, builds a macOS app,
# codesigns it, notarizes it, staples the notarization ticket, and zips it up.
# Full Guide at: https://sites.google.com/site/petesjunkyard/how-to-turn-your-python-program-into-a-working-macos-app
#
# Before using:
# 1) You should have a python app with a main script.
# 2) Become apple developer - See guide https://sites.google.com/site/petesjunkyard/how-to-turn-your-python-program-into-a-working-macos-app
# 3) Install pyinstaller with
#     pip install pyinstaller

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import shutil
import tempfile
from dataclasses import dataclass
from typing import Optional, Callable, Any, Mapping
import os
import numpy as np
import tensorflow as tf


def save_signatures_to_tflite_model(

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import hashlib
import itertools
import os
from collections import OrderedDict
from dataclasses import dataclass
from typing import Optional, TypeVar, Generic, Hashable, Any
from typing import Tuple, Iterator

import av
import cv2

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import tensorflow as tf


def tf_mask_to_boxes(mask, insert_fake_first_box: bool = False):
    """
    Convert a boolean mask to a series of bounding boxes around each segment.

    Warning: VERY SLOW (slower than pure python version of same algorithm)

    :param mask: A (HxW) boolean mask

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from dataclasses import dataclass
from typing import Optional

import cv2
import numpy as np

import tensorflow as tf


def tf_box_sum_image_from_padded_image(padded_image, width: int):

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import cv2
import numpy as np


def warp_image_with_heatmap(src_image: 'BGRImageArray', heatmap: 'HeatMapArray') -> 'BGRImageArray':
    """ Rough draft of warping an image with a heatmap.
    We compute a set of "resampled pixel locations" and then use cv2.remap to resample the image from these points.

    Think of heatmap as representing a grid of point masses.
    Each heatmap point "pulls" each resampled-pixel-point away from its original location.

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from typing import Optional, Tuple, Sequence
import cv2


def draw_bboxes_on_image(
        image,  # A (height, width, 3) unit8 numpy array representing an image
        return_relative=False,  # True to return box coorinates relative to width/height of image so they will be in [0, 1] interval
        window_name='Draw Your Bounding Box',  # What to call the window
        display_color=(0, 0, 255),  # Colour of the displayed box
        display_thickness=2  # Thickness of the displayed box

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import os
import shutil
import sys
from argparse import ArgumentParser
from datetime import datetime
from typing import Optional, Sequence


def modified_timestamp_to_filename(timestamp: float) -> str:
    return datetime.fromtimestamp(timestamp).strftime('dji_%Y-%m-%d_%H-%M-%S')

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