-
Notifications
You must be signed in to change notification settings - Fork 69
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
NMNIST tutorial is added #67
Open
ahmetakman
wants to merge
4
commits into
lava-nc:main
Choose a base branch
from
ahmetakman:ahmetakman
base: main
Could not load branches
Branch not found: {{ refName }}
Loading
Could not load tags
Nothing to show
Loading
Are you sure you want to change the base?
Some commits from the old base branch may be removed from the timeline,
and old review comments may become outdated.
Open
Changes from 1 commit
Commits
Show all changes
4 commits
Select commit
Hold shift + click to select a range
File filter
Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,101 @@ | ||
| # Train Test | ||
| 0.801933 0.945200 | ||
| 0.907750 0.949300 | ||
| 0.921467 0.948500 | ||
| 0.929283 0.961600 | ||
| 0.935350 0.965100 | ||
| 0.940217 0.962600 | ||
| 0.943083 0.964600 | ||
| 0.947050 0.967700 | ||
| 0.948183 0.971400 | ||
| 0.951867 0.970100 | ||
| 0.952467 0.970700 | ||
| 0.954117 0.971600 | ||
| 0.954650 0.974300 | ||
| 0.957717 0.973900 | ||
| 0.957400 0.976500 | ||
| 0.957783 0.976400 | ||
| 0.960300 0.977500 | ||
| 0.960233 0.975200 | ||
| 0.960883 0.978500 | ||
| 0.962850 0.976200 | ||
| 0.962550 0.978400 | ||
| 0.963967 0.977000 | ||
| 0.965200 0.976900 | ||
| 0.964583 0.980100 | ||
| 0.965033 0.977800 | ||
| 0.967050 0.980000 | ||
| 0.966933 0.981000 | ||
| 0.967300 0.981500 | ||
| 0.968483 0.980100 | ||
| 0.968900 0.981700 | ||
| 0.969117 0.980800 | ||
| 0.970300 0.981400 | ||
| 0.969217 0.981800 | ||
| 0.970117 0.982600 | ||
| 0.969650 0.982700 | ||
| 0.971133 0.981800 | ||
| 0.971833 0.981800 | ||
| 0.970983 0.984200 | ||
| 0.972217 0.982600 | ||
| 0.971983 0.982400 | ||
| 0.971883 0.982400 | ||
| 0.972850 0.982500 | ||
| 0.973100 0.982900 | ||
| 0.973600 0.981800 | ||
| 0.974300 0.981900 | ||
| 0.973533 0.983700 | ||
| 0.973517 0.983200 | ||
| 0.974517 0.983400 | ||
| 0.974217 0.984000 | ||
| 0.974300 0.983500 | ||
| 0.974883 0.982700 | ||
| 0.974883 0.983400 | ||
| 0.975650 0.983400 | ||
| 0.975167 0.983400 | ||
| 0.975767 0.984000 | ||
| 0.976217 0.983700 | ||
| 0.975950 0.984000 | ||
| 0.976350 0.983900 | ||
| 0.976850 0.984500 | ||
| 0.976633 0.984400 | ||
| 0.976917 0.984800 | ||
| 0.976200 0.984000 | ||
| 0.977100 0.984700 | ||
| 0.977050 0.984100 | ||
| 0.976767 0.983800 | ||
| 0.976400 0.985800 | ||
| 0.977667 0.985500 | ||
| 0.977383 0.984300 | ||
| 0.977300 0.985800 | ||
| 0.977933 0.985500 | ||
| 0.977633 0.984800 | ||
| 0.978333 0.985600 | ||
| 0.978650 0.985400 | ||
| 0.977933 0.985100 | ||
| 0.978017 0.986000 | ||
| 0.978067 0.985300 | ||
| 0.978667 0.985900 | ||
| 0.978567 0.986700 | ||
| 0.978917 0.986100 | ||
| 0.979300 0.986300 | ||
| 0.978850 0.984000 | ||
| 0.978617 0.985300 | ||
| 0.978733 0.984900 | ||
| 0.979117 0.985800 | ||
| 0.979317 0.985700 | ||
| 0.979083 0.985500 | ||
| 0.979800 0.985600 | ||
| 0.979667 0.985800 | ||
| 0.979217 0.985400 | ||
| 0.980300 0.985900 | ||
| 0.980517 0.986200 | ||
| 0.980217 0.986200 | ||
| 0.980033 0.985300 | ||
| 0.980183 0.986100 | ||
| 0.981033 0.984900 | ||
| 0.981183 0.985700 | ||
| 0.981250 0.985000 | ||
| 0.980783 0.985300 | ||
| 0.981417 0.986400 | ||
| 0.981300 0.986400 |
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,101 @@ | ||
| # Train Test | ||
| 0.392544 0.176659 | ||
| 0.239416 0.167550 | ||
| 0.210520 0.149321 | ||
| 0.194289 0.125025 | ||
| 0.177958 0.109535 | ||
| 0.171833 0.118700 | ||
| 0.164164 0.111476 | ||
| 0.158248 0.100817 | ||
| 0.152601 0.100551 | ||
| 0.149008 0.098966 | ||
| 0.145127 0.102916 | ||
| 0.141551 0.097027 | ||
| 0.138394 0.083000 | ||
| 0.134470 0.092456 | ||
| 0.132844 0.086755 | ||
| 0.128918 0.085847 | ||
| 0.125912 0.079843 | ||
| 0.122580 0.083085 | ||
| 0.118639 0.074248 | ||
| 0.117358 0.073422 | ||
| 0.115235 0.072302 | ||
| 0.113196 0.067478 | ||
| 0.109428 0.075555 | ||
| 0.109808 0.067043 | ||
| 0.108042 0.082480 | ||
| 0.104578 0.071933 | ||
| 0.103017 0.064316 | ||
| 0.101517 0.062741 | ||
| 0.101174 0.061511 | ||
| 0.099525 0.060693 | ||
| 0.098340 0.062145 | ||
| 0.097604 0.067442 | ||
| 0.096623 0.059294 | ||
| 0.095129 0.067488 | ||
| 0.095098 0.058241 | ||
| 0.095281 0.061556 | ||
| 0.092980 0.057933 | ||
| 0.094452 0.062046 | ||
| 0.090770 0.059484 | ||
| 0.092471 0.075752 | ||
| 0.090367 0.058769 | ||
| 0.090964 0.058157 | ||
| 0.089748 0.059631 | ||
| 0.089739 0.060288 | ||
| 0.089227 0.064481 | ||
| 0.089888 0.055119 | ||
| 0.089511 0.059206 | ||
| 0.089242 0.061213 | ||
| 0.089111 0.061570 | ||
| 0.092063 0.055300 | ||
| 0.089502 0.060598 | ||
| 0.088578 0.052308 | ||
| 0.086110 0.059129 | ||
| 0.085914 0.056834 | ||
| 0.084754 0.055252 | ||
| 0.086317 0.054813 | ||
| 0.084645 0.064556 | ||
| 0.085033 0.055137 | ||
| 0.082931 0.054086 | ||
| 0.084955 0.059385 | ||
| 0.084632 0.052532 | ||
| 0.085062 0.055110 | ||
| 0.082406 0.053513 | ||
| 0.082559 0.054450 | ||
| 0.080746 0.058334 | ||
| 0.081946 0.075627 | ||
| 0.080497 0.057141 | ||
| 0.080500 0.055179 | ||
| 0.078971 0.053432 | ||
| 0.079405 0.051200 | ||
| 0.077730 0.053164 | ||
| 0.078549 0.049746 | ||
| 0.076051 0.049622 | ||
| 0.077405 0.047853 | ||
| 0.075366 0.046746 | ||
| 0.077024 0.052136 | ||
| 0.075466 0.047198 | ||
| 0.074504 0.048256 | ||
| 0.073298 0.044842 | ||
| 0.072507 0.050104 | ||
| 0.070690 0.050632 | ||
| 0.070856 0.047994 | ||
| 0.070303 0.052489 | ||
| 0.070981 0.049408 | ||
| 0.069325 0.048902 | ||
| 0.070418 0.046527 | ||
| 0.067466 0.044350 | ||
| 0.068549 0.043540 | ||
| 0.068011 0.045525 | ||
| 0.066175 0.048599 | ||
| 0.064212 0.046466 | ||
| 0.063411 0.046759 | ||
| 0.063887 0.049415 | ||
| 0.062605 0.046096 | ||
| 0.062057 0.047598 | ||
| 0.062520 0.044356 | ||
| 0.061909 0.056894 | ||
| 0.063045 0.046516 | ||
| 0.061905 0.040300 | ||
| 0.063753 0.040203 |
Binary file not shown.
Binary file not shown.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,117 @@ | ||
| # Copyright (C) 2022 Intel Corporation | ||
| # SPDX-License-Identifier: BSD-3-Clause | ||
| import glob | ||
| import os | ||
| import zipfile | ||
| import h5py | ||
| import numpy as np | ||
| import matplotlib.pyplot as plt | ||
| import torch | ||
|
|
||
| import lava.lib.dl.slayer as slayer | ||
|
|
||
|
|
||
| def augment(event): | ||
| x_shift = 4 | ||
| y_shift = 4 | ||
| theta = 10 | ||
| xjitter = np.random.randint(2*x_shift) - x_shift | ||
| yjitter = np.random.randint(2*y_shift) - y_shift | ||
| ajitter = (np.random.rand() - 0.5) * theta / 180 * 3.141592654 | ||
| sin_theta = np.sin(ajitter) | ||
| cos_theta = np.cos(ajitter) | ||
| event.x = event.x * cos_theta - event.y * sin_theta + xjitter | ||
| event.y = event.x * sin_theta + event.y * cos_theta + yjitter | ||
| return event | ||
|
|
||
|
|
||
| class NMNISTDataset(): | ||
| """NMNIST dataset method | ||
|
|
||
| Parameters | ||
| ---------- | ||
| path : str, optional | ||
| path of dataset root, by default 'data' | ||
| train : bool, optional | ||
| train/test flag, by default True | ||
| sampling_time : int, optional | ||
| sampling time of event data, by default 1 | ||
| sample_length : int, optional | ||
| length of sample data, by default 300 | ||
| transform : None or lambda or fx-ptr, optional | ||
| transformation method. None means no transform. By default Noney. | ||
| download : bool, optional | ||
| enable/disable automatic download, by default True | ||
| """ | ||
| def __init__( | ||
| self, path='data', | ||
| train=True, | ||
| sampling_time=1, sample_length=300, | ||
| transform=None, download=True, | ||
| ): | ||
| super(NMNISTDataset, self).__init__() | ||
| self.path = path | ||
|
|
||
| if train: | ||
| data_path = path + '/Train' | ||
| source = 'https://www.dropbox.com/sh/tg2ljlbmtzygrag/'\ | ||
| 'AABlMOuR15ugeOxMCX0Pvoxga/Train.zip' | ||
| else: | ||
| data_path = path + '/Test' | ||
| source = 'https://www.dropbox.com/sh/tg2ljlbmtzygrag/'\ | ||
| 'AADSKgJ2CjaBWh75HnTNZyhca/Test.zip' | ||
|
|
||
| if download is True: | ||
| attribution_text = ''' | ||
| NMNIST dataset is freely available here: | ||
| https://www.garrickorchard.com/datasets/n-mnist | ||
|
|
||
| (c) Creative Commons: | ||
| Orchard, G.; Cohen, G.; Jayawant, A.; and Thakor, N. | ||
| "Converting Static Image Datasets to Spiking Neuromorphic Datasets Using | ||
| Saccades", | ||
| Frontiers in Neuroscience, vol.9, no.437, Oct. 2015 | ||
| '''.replace(' '*12, '') | ||
| if train is True: | ||
| print(attribution_text) | ||
|
|
||
| if len(glob.glob(f'{data_path}/')) == 0: # dataset does not exist | ||
| print( | ||
| f'NMNIST {"training" if train is True else "testing"} ' | ||
| 'dataset is not available locally.' | ||
| ) | ||
| print('Attempting download (This will take a while) ...') | ||
| os.system(f'wget {source} -P {self.path}/ -q --show-progress') | ||
| print('Extracting files ...') | ||
| with zipfile.ZipFile(data_path + '.zip') as zip_file: | ||
| for member in zip_file.namelist(): | ||
| zip_file.extract(member, self.path) | ||
| print('Download complete.') | ||
| else: | ||
| assert len(glob.glob(f'{data_path}/')) == 0, \ | ||
| f'Dataset does not exist. Either set download=True '\ | ||
| f'or download it from '\ | ||
| f'https://www.garrickorchard.com/datasets/n-mnist '\ | ||
| f'to {data_path}/' | ||
|
|
||
| self.samples = glob.glob(f'{data_path}/*/*.bin') #TODO | ||
|
|
||
| self.sampling_time = sampling_time | ||
| self.num_time_bins = int(sample_length/sampling_time) | ||
| self.transform = transform | ||
|
|
||
| def __getitem__(self, i): | ||
| filename = self.samples[i] | ||
| label = int(filename.split('/')[-2]) | ||
| event = slayer.io.read_2d_spikes(filename) | ||
| if self.transform is not None: | ||
| event = self.transform(event) | ||
| spike = event.fill_tensor( | ||
| np.zeros((2, 34, 34, self.num_time_bins)), | ||
| sampling_time=self.sampling_time, | ||
| ) | ||
| return spike.reshape(-1, self.num_time_bins), label | ||
|
|
||
| def __len__(self): | ||
| return len(self.samples) | ||
|
|
||
Oops, something went wrong.
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
I guess the only difference between the dataloader here and the dataloader for training is this line. So I would suggest deriving this NMNISTdataset class from tutorials.lava.lib.dl.slayer.nmnist.NMNISTdataset and just override the getitem(). It would just be conversion of spike from torch to numpy.
spike = spike_torch.cpu().data.numpy()There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Oh, I see; I did not know that NMNIST is included in the library. I just took the NMNIST slayer tutorial as the reference. Thanks for the advice.