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1 month ago 作者您好！我在复现论文时遇到了一些问题： 1、我安装tonic库，但tonic.dataset.ncaltech101似乎不支持本项目，比如它并没有cls_count等一系列参数，我在Brain-cog-x中找到了以下似乎可以使用的代码，不知道是不是因为tonic版本的问题？
`# encoding: utf-8
Author : FloyedFloyed_Shen@outlook.com
Datetime : 2023/1/30 21:28
User : yu
Product : PyCharm
Project : BrainCog
File : ncaltech101.py
explain :
import os import numpy as np
from tonic.io import read_mnist_file from tonic.dataset import Dataset from tonic.download_utils import extract_archive
class NCALTECH101(Dataset): """N-CALTECH101 dataset https://www.garrickorchard.com/datasets/n-caltech101. Events have (xytp) ordering. ::
@article{orchard2015converting, title={Converting static image datasets to spiking neuromorphic datasets using saccades}, author={Orchard, Garrick and Jayawant, Ajinkya and Cohen, Gregory K and Thakor, Nitish}, journal={Frontiers in neuroscience}, volume={9}, pages={437}, year={2015}, publisher={Frontiers} } Parameters: save_to (string): Location to save files to on disk. transform (callable, optional): A callable of transforms to apply to the data. target_transform (callable, optional): A callable of transforms to apply to the targets/labels. """ url = "https://data.mendeley.com/public-files/datasets/cy6cvx3ryv/files/36b5c52a-b49d-4853-addb-a836a8883e49/file_downloaded" filename = "N-Caltech101-archive.zip" file_md5 = "66201824eabb0239c7ab992480b50ba3" data_filename = "N-Caltech101-archive.zip" folder_name = "Caltech101" cls_count = [467, 435, 200, 798, 55, 800, 42, 42, 47, 54, 46, 33, 128, 98, 43, 85, 91, 50, 43, 123, 47, 59, 62, 107, 47, 69, 73, 70, 50, 51, 57, 67, 52, 65, 68, 75, 64, 53, 64, 85, 67, 67, 45, 34, 34, 51, 99, 100, 42, 54, 88, 80, 31, 64, 86, 114, 61, 81, 78, 41, 66, 43, 40, 87, 32, 76, 55, 35, 39, 47, 38, 45, 53, 34, 57, 82, 59, 49, 40, 63, 39, 84, 57, 35, 64, 45, 86, 59, 64, 35, 85, 49, 86, 75, 239, 37, 59, 34, 56, 39, 60] # length = 8242 length = 8709 sensor_size = None # all recordings are of different size dtype = np.dtype([("x", int), ("y", int), ("t", int), ("p", int)]) ordering = dtype.names def __init__(self, save_to, transform=None, target_transform=None): super(NCALTECH101, self).__init__( save_to, transform=transform, target_transform=target_transform ) classes = { 'BACKGROUND_Google': 0, 'Faces_easy': 1, 'Leopards': 2, 'Motorbikes': 3, 'accordion': 4, 'airplanes': 5, 'anchor': 6, 'ant': 7, 'barrel': 8, 'bass': 9, 'beaver': 10, 'binocular': 11, 'bonsai': 12, 'brain': 13, 'brontosaurus': 14, 'buddha': 15, 'butterfly': 16, 'camera': 17, 'cannon': 18, 'car_side': 19, 'ceiling_fan': 20, 'cellphone': 21, 'chair': 22, 'chandelier': 23, 'cougar_body': 24, 'cougar_face': 25, 'crab': 26, 'crayfish': 27, 'crocodile': 28, 'crocodile_head': 29, 'cup': 30, 'dalmatian': 31, 'dollar_bill': 32, 'dolphin': 33, 'dragonfly': 34, 'electric_guitar': 35, 'elephant': 36, 'emu': 37, 'euphonium': 38, 'ewer': 39, 'ferry': 40, 'flamingo': 41, 'flamingo_head': 42, 'garfield': 43, 'gerenuk': 44, 'gramophone': 45, 'grand_piano': 46, 'hawksbill': 47, 'headphone': 48, 'hedgehog': 49, 'helicopter': 50, 'ibis': 51, 'inline_skate': 52, 'joshua_tree': 53, 'kangaroo': 54, 'ketch': 55, 'lamp': 56, 'laptop': 57, 'llama': 58, 'lobster': 59, 'lotus': 60, 'mandolin': 61, 'mayfly': 62, 'menorah': 63, 'metronome': 64, 'minaret': 65, 'nautilus': 66, 'octopus': 67, 'okapi': 68, 'pagoda': 69, 'panda': 70, 'pigeon': 71, 'pizza': 72, 'platypus': 73, 'pyramid': 74, 'revolver': 75, 'rhino': 76, 'rooster': 77, 'saxophone': 78, 'schooner': 79, 'scissors': 80, 'scorpion': 81, 'sea_horse': 82, 'snoopy': 83, 'soccer_ball': 84, 'stapler': 85, 'starfish': 86, 'stegosaurus': 87, 'stop_sign': 88, 'strawberry': 89, 'sunflower': 90, 'tick': 91, 'trilobite': 92, 'umbrella': 93, 'watch': 94, 'water_lilly': 95, 'wheelchair': 96, 'wild_cat': 97, 'windsor_chair': 98, 'wrench': 99, 'yin_yang': 100, } # if not self._check_exists(): # self.download() # extract_archive(os.path.join(self.location_on_system, self.data_filename)) file_path = os.path.join(self.location_on_system, self.folder_name) for path, dirs, files in os.walk(file_path): dirs.sort() # if 'BACKGROUND_Google' in path: # continue for file in files: if file.endswith("bin"): self.data.append(path + "/" + file) label_name = os.path.basename(path) if isinstance(label_name, bytes): label_name = label_name.decode() self.targets.append(classes[label_name]) def __getitem__(self, index): """ Returns: a tuple of (events, target) where target is the index of the target class. """ events = read_mnist_file(self.data[index], dtype=self.dtype) target = self.targets[index] events["x"] -= events["x"].min() events["y"] -= events["y"].min() if self.transform is not None: events = self.transform(events) if self.target_transform is not None: target = self.target_transform(target) return events, target def __len__(self): return len(self.data) def _check_exists(self): return self._is_file_present() and self._folder_contains_at_least_n_files_of_type( 8709, ".bin" )`
2、在使用上述的ncaltech101类替代tonic.datasets.ncaltehc101后，我还碰到了该问题,DVS/NCALTECH101/train_cache路径能生成但是似乎无法缓存进去 Data 3407: D:/datasets\DVS/NCALTECH101/train_cache_10\3407_2.hdf5 not in cache, generating it now Traceback (most recent call last): File "C:\Users\86158\anaconda3\envs\pytorch-gpu\lib\site-packages\tonic\cached_dataset.py", line 145, in getitem data, targets = load_from_disk_cache(file_path) File "C:\Users\86158\anaconda3\envs\pytorch-gpu\lib\site-packages\tonic\cached_dataset.py", line 220, in load_from_disk_cache with h5py.File(file_path, "r") as f: File "C:\Users\86158\anaconda3\envs\pytorch-gpu\lib\site-packages\h5py_hl\files.py", line 533, in init fid = make_fid(name, mode, userblock_size, fapl, fcpl, swmr=swmr) File "C:\Users\86158\anaconda3\envs\pytorch-gpu\lib\site-packages\h5py_hl\files.py", line 226, in make_fid fid = h5f.open(name, flags, fapl=fapl) File "h5py_objects.pyx", line 54, in h5py._objects.with_phil.wrapper File "h5py_objects.pyx", line 55, in h5py._objects.with_phil.wrapper File "h5py\h5f.pyx", line 106, in h5py.h5f.open FileNotFoundError: [Errno 2] Unable to open file (unable to open file: name = 'D:/datasets\DVS/NCALTECH101/train_cache_10\3407_2.hdf5', errno = 2, error message = 'No such file or directory', flags = 0, o_flags = 0)
3、能否上传下CEPDVS数据集
感谢您的工作，期待您的回复
您好，感谢你对我们工作的关注，以下是一些回复：
- tonic.dataset.ncaltech101 里面没有cls_count等参数：是的，这和tonic版本有关系，我使用的是0.1.0版本，最早的，现在tonic官网已经找不到该版本了；我会将我环境中的tonic上传一份儿，如果你使用的是anaconda, 你可以将其放到envs/your_envs/lib/python3.8/site-packages/tonic目录下。
- tonic中使用缓存的目的是加快读取，我会将生成的缓存也上传一份儿，这样可以确保程序的复现结果。
- 可以，我查看了一下它一共占用41G，将打包传到百度网盘中。
以上预计在2小时左右完成，谢谢
ShuhanYe
作者您好！我在复现论文时遇到了一些问题： 1、我安装tonic库，但tonic.dataset.ncaltech101似乎不支持本项目，比如它并没有cls_count等一系列参数，我在Brain-cog-x中找到了以下似乎可以使用的代码，不知道是不是因为tonic版本的问题？
`# encoding: utf-8
Author : FloyedFloyed_Shen@outlook.com
Datetime : 2023/1/30 21:28
User : yu
Product : PyCharm
Project : BrainCog
File : ncaltech101.py
explain :
import os import numpy as np
from tonic.io import read_mnist_file from tonic.dataset import Dataset from tonic.download_utils import extract_archive
class NCALTECH101(Dataset): """N-CALTECH101 dataset https://www.garrickorchard.com/datasets/n-caltech101. Events have (xytp) ordering. ::
`
2、在使用上述的ncaltech101类替代tonic.datasets.ncaltehc101后，我还碰到了该问题,DVS/NCALTECH101/train_cache路径能生成但是似乎无法缓存进去 Data 3407: D:/datasets\DVS/NCALTECH101/train_cache_10\3407_2.hdf5 not in cache, generating it now Traceback (most recent call last): File "C:\Users\86158\anaconda3\envs\pytorch-gpu\lib\site-packages\tonic\cached_dataset.py", line 145, in getitem data, targets = load_from_disk_cache(file_path) File "C:\Users\86158\anaconda3\envs\pytorch-gpu\lib\site-packages\tonic\cached_dataset.py", line 220, in load_from_disk_cache with h5py.File(file_path, "r") as f: File "C:\Users\86158\anaconda3\envs\pytorch-gpu\lib\site-packages\h5py_hl\files.py", line 533, in init fid = make_fid(name, mode, userblock_size, fapl, fcpl, swmr=swmr) File "C:\Users\86158\anaconda3\envs\pytorch-gpu\lib\site-packages\h5py_hl\files.py", line 226, in make_fid fid = h5f.open(name, flags, fapl=fapl) File "h5py_objects.pyx", line 54, in h5py._objects.with_phil.wrapper File "h5py_objects.pyx", line 55, in h5py._objects.with_phil.wrapper File "h5py\h5f.pyx", line 106, in h5py.h5f.open FileNotFoundError: [Errno 2] Unable to open file (unable to open file: name = 'D:/datasets\DVS/NCALTECH101/train_cache_10\3407_2.hdf5', errno = 2, error message = 'No such file or directory', flags = 0, o_flags = 0)
3、能否上传下CEPDVS数据集
感谢您的工作，期待您的回复