ImportError: cannot import name 'extract_image_by_index' from 'dsec_det.io'

[EricLiuUCAS]

import yaml
import h5py
import numpy as np
import math
from pathlib import Path
import filecmp

from https://stackoverflow.com/questions/4187564/recursively-compare-two-directories-to-ensure-they-have-the-same-files-and-subdi

class dircmp(filecmp.dircmp):
"""
Compare the content of dir1 and dir2. In contrast with filecmp.dircmp, this
subclass compares the content of files with the same path.
"""
def phase3(self):
"""
Find out differences between common files.
Ensure we are using content comparison with shallow=False.
"""
fcomp = filecmp.cmpfiles(self.left, self.right, self.common_files,
shallow=False)
self.same_files, self.diff_files, self.funny_files = fcomp

def compare_dirs(dir1: Path, dir2: Path):
"""
Compare two directory trees content.
Return False if they differ, True is they are the same.
"""
compared = dircmp(dir1, dir2)
if (compared.left_only or compared.right_only or compared.diff_files
or compared.funny_files):
return False
for subdir in compared.common_dirs:
if not compare_dirs(dir1 / subdir, dir2 / subdir):
return False
return True

def _extract_from_h5_by_index(filehandle, ev_start_idx: int, ev_end_idx: int):
events = filehandle['events']
x = events['x']
y = events['y']
p = events['p']
t = events['t']

x_new = x[ev_start_idx:ev_end_idx]
y_new = y[ev_start_idx:ev_end_idx]
p_new = p[ev_start_idx:ev_end_idx]
t_new = t[ev_start_idx:ev_end_idx].astype("int64") + filehandle["t_offset"][()]

output = {
    'p': p_new,
    't': t_new,
    'x': x_new,
    'y': y_new,
}
return output

def get_num_events(h5file):
with h5py.File(str(h5file), 'r') as h5f:
return len(h5f['events/t'])

def extract_from_h5_by_index(h5file, ev_start_idx: int, ev_end_idx: int):
with h5py.File(str(h5file), 'r') as h5f:
return _extract_from_h5_by_index(h5f, ev_start_idx, ev_end_idx)

def extract_from_h5_by_timewindow(h5file, t_min_us: int, t_max_us: int):
with h5py.File(str(h5file), 'r') as h5f:
ms2idx = np.asarray(h5f['ms_to_idx'], dtype='int64')
t_offset = h5f['t_offset'][()]

    events = h5f['events']
    t = events['t']

    t_ev_start_us = t_min_us - t_offset
    #assert t_ev_start_us >= t[0], (t_ev_start_us, t[0])
    t_ev_start_ms = t_ev_start_us // 1000
    ms2idx_start_idx = t_ev_start_ms
    ev_start_idx = ms2idx[ms2idx_start_idx]

    t_ev_end_us = t_max_us - t_offset
    assert t_ev_end_us <= t[-1], (t_ev_end_us, t[-1])
    t_ev_end_ms = math.floor(t_ev_end_us / 1000)
    ms2idx_end_idx = t_ev_end_ms
    ev_end_idx = ms2idx[ms2idx_end_idx]

    return _extract_from_h5_by_index(h5f, ev_start_idx, ev_end_idx)

def h5_file_to_dict(h5_file: Path):
with h5py.File(h5_file) as fh:
return {k: fh[k][()] for k in fh.keys()}

def yaml_file_to_dict(yaml_file: Path):
with yaml_file.open() as fh:
return yaml.load(fh, Loader=yaml.UnsafeLoader)

##############################################################
Subject: Request for Solutions to Missing Functions in the Code

Dear Daniel,

I hope this message finds you well.

I have encountered an issue while working with the code, as it appears to be missing the following functions:

extract_from_h5_by_timewindow
extract_image_by_index
load_start_and_end_time
Could you kindly provide some guidance or solutions to address this issue? I would greatly appreciate your help and look forward to your response.

Thank you in advance for your time and assistance.

Best regards,
[Eric nian]