repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/text_augmentation/helpers/eda_nlp/experiments/d_2_tsne.py | augmentation/text_augmentation/helpers/eda_nlp/experiments/d_2_tsne.py | from methods import *
from numpy.random import seed
from keras import backend as K
from sklearn.manifold import TSNE
import matplotlib.pyplot as plt
seed(0)
################################
#### get dense layer output ####
################################
#getting the x and y inputs in numpy array form from the text ... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/text_augmentation/helpers/eda_nlp/experiments/c_2_train_eval.py | augmentation/text_augmentation/helpers/eda_nlp/experiments/c_2_train_eval.py | from c_config import *
from methods import *
from numpy.random import seed
seed(5)
###############################
#### run model and get acc ####
###############################
def run_cnn(train_file, test_file, num_classes, percent_dataset):
#initialize model
model = build_cnn(input_size, word2vec_len, num_cla... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/text_augmentation/helpers/eda_nlp/experiments/b_config.py | augmentation/text_augmentation/helpers/eda_nlp/experiments/b_config.py | #user inputs
#dataset folder
datasets = ['pc']#['cr', 'sst2', 'subj', 'trec', 'pc']
dataset_folders = ['increment_datasets_f2/' + dataset for dataset in datasets]
#number of output classes
num_classes_list = [2]#[2, 2, 2, 6, 2]
#dataset increments
increments = [0.7, 0.8, 0.9, 1]#[0.01, 0.05, 0.1, 0.2, 0.3, 0.4, 0.5... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/text_augmentation/helpers/eda_nlp/experiments/a_config.py | augmentation/text_augmentation/helpers/eda_nlp/experiments/a_config.py | #user inputs
#size folders
sizes = ['1_tiny', '2_small', '3_standard', '4_full']
size_folders = ['size_data_f1/' + size for size in sizes]
#augmentation methods
a_methods = ['sr', 'ri', 'rd', 'rs']
#dataset folder
datasets = ['cr', 'sst2', 'subj', 'trec', 'pc']
#number of output classes
num_classes_list = [2, 2, 2,... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/text_augmentation/helpers/eda_nlp/experiments/e_2_cnn_aug.py | augmentation/text_augmentation/helpers/eda_nlp/experiments/e_2_cnn_aug.py | from methods import *
from numpy.random import seed
seed(0)
from e_config import *
###############################
#### run model and get acc ####
###############################
def run_cnn(train_file, test_file, num_classes, input_size, percent_dataset, word2vec):
#initialize model
model = build_cnn(input_size, ... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/text_augmentation/helpers/eda_nlp/experiments/e_config.py | augmentation/text_augmentation/helpers/eda_nlp/experiments/e_config.py | #user inputs
#load hyperparameters
sizes = ['4_full']#['1_tiny', '2_small', '3_standard', '4_full']
size_folders = ['size_data_t1/' + size for size in sizes]
#datasets
datasets = ['cr', 'sst2', 'subj', 'trec', 'pc']
#number of output classes
num_classes_list = [2, 2, 2, 6, 2]
#number of augmentations per original s... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/text_augmentation/helpers/eda_nlp/experiments/b_2_train_eval.py | augmentation/text_augmentation/helpers/eda_nlp/experiments/b_2_train_eval.py | from b_config import *
from methods import *
from numpy.random import seed
seed(0)
###############################
#### run model and get acc ####
###############################
def run_model(train_file, test_file, num_classes, percent_dataset):
#initialize model
model = build_model(input_size, word2vec_len, num... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/text_augmentation/helpers/eda_nlp/experiments/a_1_data_process.py | augmentation/text_augmentation/helpers/eda_nlp/experiments/a_1_data_process.py | from methods import *
from a_config import *
if __name__ == "__main__":
#for each method
for a_method in a_methods:
#for each data size
for size_folder in size_folders:
n_aug_list = n_aug_list_dict[size_folder]
dataset_folders = [size_folder + '/' + s for s in datasets]
#for each dataset
for i, d... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/text_augmentation/helpers/eda_nlp/experiments/a_2_train_eval.py | augmentation/text_augmentation/helpers/eda_nlp/experiments/a_2_train_eval.py | from a_config import *
from methods import *
from numpy.random import seed
seed(5)
###############################
#### run model and get acc ####
###############################
def run_cnn(train_file, test_file, num_classes, percent_dataset):
#initialize model
model = build_cnn(input_size, word2vec_len, num_cla... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/text_augmentation/helpers/eda_nlp/experiments/d_0_preprocess.py | augmentation/text_augmentation/helpers/eda_nlp/experiments/d_0_preprocess.py | from methods import *
def generate_short(input_file, output_file, alpha):
lines = open(input_file, 'r').readlines()
increment = int(len(lines)/alpha)
lines = lines[::increment]
writer = open(output_file, 'w')
for line in lines:
writer.write(line)
if __name__ == "__main__":
#global params
huge_word2vec = 'wo... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/text_augmentation/helpers/eda_nlp/experiments/e_1_data_process.py | augmentation/text_augmentation/helpers/eda_nlp/experiments/e_1_data_process.py | from methods import *
from e_config import *
if __name__ == "__main__":
for size_folder in size_folders:
dataset_folders = [size_folder + '/' + s for s in datasets]
n_aug_list = n_aug_list_dict[size_folder]
#for each dataset
for i, dataset_folder in enumerate(dataset_folders):
n_aug = n_aug_list[i]
... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/text_augmentation/helpers/eda_nlp/experiments/e_2_rnn_aug.py | augmentation/text_augmentation/helpers/eda_nlp/experiments/e_2_rnn_aug.py | from methods import *
from numpy.random import seed
seed(0)
from e_config import *
###############################
#### run model and get acc ####
###############################
def run_model(train_file, test_file, num_classes, input_size, percent_dataset, word2vec):
#initialize model
model = build_model(input_si... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/text_augmentation/helpers/eda_nlp/experiments/d_neg_1_balance_trec.py | augmentation/text_augmentation/helpers/eda_nlp/experiments/d_neg_1_balance_trec.py | lines = open('special_f4/trec/test_orig.txt', 'r').readlines()
label_to_lines = {x:[] for x in range(0, 6)}
for line in lines:
label = int(line[0])
label_to_lines[label].append(line)
for label in label_to_lines:
print(label, len(label_to_lines[label])) | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/text_augmentation/helpers/eda_nlp/experiments/e_2_cnn_baselines.py | augmentation/text_augmentation/helpers/eda_nlp/experiments/e_2_cnn_baselines.py | from methods import *
from numpy.random import seed
seed(0)
from e_config import *
###############################
#### run model and get acc ####
###############################
def run_model(train_file, test_file, num_classes, input_size, percent_dataset, word2vec):
#initialize model
model = build_model(input_si... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/text_augmentation/helpers/eda_nlp/experiments/methods.py | augmentation/text_augmentation/helpers/eda_nlp/experiments/methods.py | from keras.layers.core import Dense, Activation, Dropout
from keras.layers.recurrent import LSTM
from keras.layers import Bidirectional
import keras.layers as layers
from keras.models import Sequential
from keras.models import load_model
from keras.callbacks import EarlyStopping
from sklearn.utils import shuffle
from ... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/text_augmentation/helpers/eda_nlp/experiments/c_config.py | augmentation/text_augmentation/helpers/eda_nlp/experiments/c_config.py | #user inputs
#size folders
sizes = ['3_standard']#, '4_full']#['1_tiny', '2_small', '3_standard', '4_full']
size_folders = ['size_data_f3/' + size for size in sizes]
#dataset folder
datasets = ['cr', 'sst2', 'subj', 'trec', 'pc']
#number of output classes
num_classes_list = [2, 2, 2, 6, 2]
#alpha values we care abo... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/text_augmentation/helpers/eda_nlp/experiments/nlp_aug.py | augmentation/text_augmentation/helpers/eda_nlp/experiments/nlp_aug.py | # Easy data augmentation techniques for text classification
# Jason Wei, Chengyu Huang, Yifang Wei, Fei Xing, Kai Zou
import random
from random import shuffle
random.seed(1)
#stop words list
stop_words = ['i', 'me', 'my', 'myself', 'we', 'our',
'ours', 'ourselves', 'you', 'your', 'yours',
'yourself', 'yoursel... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/text_augmentation/helpers/eda_nlp/experiments/e_2_rnn_baselines.py | augmentation/text_augmentation/helpers/eda_nlp/experiments/e_2_rnn_baselines.py | from methods import *
from numpy.random import seed
seed(0)
from e_config import *
###############################
#### run model and get acc ####
###############################
def run_model(train_file, test_file, num_classes, input_size, percent_dataset, word2vec):
#initialize model
model = build_model(input_si... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/text_augmentation/helpers/eda_nlp/experiments/c_1_data_process.py | augmentation/text_augmentation/helpers/eda_nlp/experiments/c_1_data_process.py | from methods import *
from c_config import *
if __name__ == "__main__":
#generate the augmented data sets
for size_folder in size_folders:
dataset_folders = [size_folder + '/' + s for s in datasets]
#for each dataset
for dataset_folder in dataset_folders:
train_orig = dataset_folder + '/train_orig.txt'
... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/text_augmentation/helpers/eda_nlp/experiments/d_1_train_models.py | augmentation/text_augmentation/helpers/eda_nlp/experiments/d_1_train_models.py | from methods import *
from numpy.random import seed
seed(0)
###############################
#### run model and get acc ####
###############################
def run_model(train_file, test_file, num_classes, model_output_path):
#initialize model
model = build_model(input_size, word2vec_len, num_classes)
#load data... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/text_augmentation/helpers/eda_nlp/preprocess/bg_clean.py | augmentation/text_augmentation/helpers/eda_nlp/preprocess/bg_clean.py |
from utils import *
def clean_csv(input_file, output_file):
input_r = open(input_file, 'r').read()
lines = input_r.split(',,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/text_augmentation/helpers/eda_nlp/preprocess/subj_clean.py | augmentation/text_augmentation/helpers/eda_nlp/preprocess/subj_clean.py | from utils import *
if __name__ == "__main__":
subj_path = "subj/rotten_imdb/subj.txt"
obj_path = "subj/rotten_imdb/plot.tok.gt9.5000"
subj_lines = open(subj_path, 'r').readlines()
obj_lines = open(obj_path, 'r').readlines()
print(len(subj_lines), len(obj_lines))
test_split = int(0.9*len(subj_lines))
train_... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/text_augmentation/helpers/eda_nlp/preprocess/sst1_clean.py | augmentation/text_augmentation/helpers/eda_nlp/preprocess/sst1_clean.py | from utils import *
def get_label(decimal):
if decimal >= 0 and decimal <= 0.2:
return 0
elif decimal > 0.2 and decimal <= 0.4:
return 1
elif decimal > 0.4 and decimal <= 0.6:
return 2
elif decimal > 0.6 and decimal <= 0.8:
return 3
elif decimal > 0.8 and decimal <= 1:
return 4
else:
return -1
def g... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/text_augmentation/helpers/eda_nlp/preprocess/shuffle_lines.py | augmentation/text_augmentation/helpers/eda_nlp/preprocess/shuffle_lines.py | import random
def shuffle_lines(text_file):
lines = open(text_file).readlines()
random.shuffle(lines)
open(text_file, 'w').writelines(lines)
shuffle_lines('special_f4/pc/test_short_aug_shuffle.txt') | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/text_augmentation/helpers/eda_nlp/preprocess/procon_clean.py | augmentation/text_augmentation/helpers/eda_nlp/preprocess/procon_clean.py |
from utils import *
def get_good_stuff(line):
idx = line.find('s>')
good = line[idx+2:-8]
return get_only_chars(good)
def clean_file(con_file, pro_file, output_train, output_test):
train_writer = open(output_train, 'w')
test_writer = open(output_test, 'w')
con_lines = open(con_file, 'r').readlines()
for lin... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/text_augmentation/helpers/eda_nlp/preprocess/trej_clean.py | augmentation/text_augmentation/helpers/eda_nlp/preprocess/trej_clean.py |
from utils import *
class_name_to_num = {'DESC': 0, 'ENTY':1, 'ABBR':2, 'HUM': 3, 'LOC': 4, 'NUM': 5}
def clean(input_file, output_file):
lines = open(input_file, 'r').readlines()
writer = open(output_file, 'w')
for line in lines:
parts = line[:-1].split(' ')
tag = parts[0].split(':')[0]
class_num = class_n... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/text_augmentation/helpers/eda_nlp/preprocess/utils.py | augmentation/text_augmentation/helpers/eda_nlp/preprocess/utils.py | import re
#cleaning up text
def get_only_chars(line):
clean_line = ""
line = line.lower()
line = line.replace(" 's", " is")
line = line.replace("-", " ") #replace hyphens with spaces
line = line.replace("\t", " ")
line = line.replace("\n", " ")
line = line.replace("'", "")
for ch... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/text_augmentation/helpers/eda_nlp/preprocess/create_dataset_increments.py | augmentation/text_augmentation/helpers/eda_nlp/preprocess/create_dataset_increments.py | import os
datasets = ['cr', 'pc', 'sst1', 'sst2', 'subj', 'trec']
for dataset in datasets:
line = 'cat increment_datasets_f2/' + dataset + '/test.txt > sized_datasets_f1/test/' + dataset + '/test.txt'
os.system(line) | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/text_augmentation/helpers/eda_nlp/preprocess/cr_clean.py | augmentation/text_augmentation/helpers/eda_nlp/preprocess/cr_clean.py | #0 = neg, 1 = pos
from utils import *
def retrieve_reviews(line):
reviews = set()
chars = list(line)
for i, char in enumerate(chars):
if char == '[':
if chars[i+1] == '-':
reviews.add(0)
elif chars[i+1] == '+':
reviews.add(1)
reviews = list(reviews)
if len(reviews) == 2:
return -2
elif len(r... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/text_augmentation/helpers/eda_nlp/preprocess/copy_sized_datasets.py | augmentation/text_augmentation/helpers/eda_nlp/preprocess/copy_sized_datasets.py | import os
sizes = ['1_tiny', '2_small', '3_standard', '4_full']
datasets = ['sst2', 'cr', 'subj', 'trec', 'pc']
for size in sizes:
for dataset in datasets:
folder = 'size_data_t1/' + size + '/' + dataset
if not os.path.exists(folder):
os.makedirs(folder)
origin = 'sized_datasets_f1/' + size + '/' + dataset... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/text_augmentation/helpers/eda_nlp/preprocess/get_stats.py | augmentation/text_augmentation/helpers/eda_nlp/preprocess/get_stats.py | import statistics
datasets = ['sst2', 'cr', 'subj', 'trec', 'pc']
filenames = ['increment_datasets_f2/' + x + '/train_orig.txt' for x in datasets]
def get_vocab_size(filename):
lines = open(filename, 'r').readlines()
vocab = set()
for line in lines:
words = line[:-1].split(' ')
for word in words:
if word ... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/text_augmentation/helpers/eda_nlp/code/eda.py | augmentation/text_augmentation/helpers/eda_nlp/code/eda.py | # Easy data augmentation techniques for text classification
# Jason Wei and Kai Zou
import random
from random import shuffle
random.seed(1)
#stop words list
stop_words = ['i', 'me', 'my', 'myself', 'we', 'our',
'ours', 'ourselves', 'you', 'your', 'yours',
'yourself', 'yourselves', 'he', 'him', 'his',
'him... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/text_augmentation/helpers/eda_nlp/code/augment.py | augmentation/text_augmentation/helpers/eda_nlp/code/augment.py | # Easy data augmentation techniques for text classification
# Jason Wei and Kai Zou
from eda import *
#arguments to be parsed from command line
import argparse
ap = argparse.ArgumentParser()
ap.add_argument("--input", required=True, type=str, help="input file of unaugmented data")
ap.add_argument("--output", required... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/audio_augmentation/augment_time.py | augmentation/audio_augmentation/augment_time.py | '''
AAA lllllll lllllll iiii
A:::A l:::::l l:::::l i::::i
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A:::::::A l:::::l l:::::l
... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/audio_augmentation/augment_volume.py | augmentation/audio_augmentation/augment_volume.py | '''
AAA lllllll lllllll iiii
A:::A l:::::l l:::::l i::::i
A:::::A l:::::l l:::::l iiii
A:::::::A l:::::l l:::::l
... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/audio_augmentation/augment_randomsplice.py | augmentation/audio_augmentation/augment_randomsplice.py | '''
AAA lllllll lllllll iiii
A:::A l:::::l l:::::l i::::i
A:::::A l:::::l l:::::l iiii
A:::::::A l:::::l l:::::l
... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/audio_augmentation/augment_silence.py | augmentation/audio_augmentation/augment_silence.py | '''
AAA lllllll lllllll iiii
A:::A l:::::l l:::::l i::::i
A:::::A l:::::l l:::::l iiii
A:::::::A l:::::l l:::::l
... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/audio_augmentation/augment_tsaug.py | augmentation/audio_augmentation/augment_tsaug.py | '''
AAA lllllll lllllll iiii
A:::A l:::::l l:::::l i::::i
A:::::A l:::::l l:::::l iiii
A:::::::A l:::::l l:::::l
... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/audio_augmentation/augment_noise.py | augmentation/audio_augmentation/augment_noise.py | '''
AAA lllllll lllllll iiii
A:::A l:::::l l:::::l i::::i
A:::::A l:::::l l:::::l iiii
A:::::::A l:::::l l:::::l
... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/audio_augmentation/augment.py | augmentation/audio_augmentation/augment.py | '''
AAA lllllll lllllll iiii
A:::A l:::::l l:::::l i::::i
A:::::A l:::::l l:::::l iiii
A:::::::A l:::::l l:::::l
... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/audio_augmentation/augment_addnoise.py | augmentation/audio_augmentation/augment_addnoise.py | '''
AAA lllllll lllllll iiii
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/audio_augmentation/augment_pitch.py | augmentation/audio_augmentation/augment_pitch.py | '''
AAA lllllll lllllll iiii
A:::A l:::::l l:::::l i::::i
A:::::A l:::::l l:::::l iiii
A:::::::A l:::::l l:::::l
... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/audio_augmentation/helpers/audio_augment.py | augmentation/audio_augmentation/helpers/audio_augment.py | import os, sys, librosa, shutil, time, random, math
from pydub import AudioSegment
import soundfile as sf
def remove_json():
listdir=os.listdir()
for i in range(len(listdir)):
if listdir[i][-5:]=='.json':
os.remove(listdir[i])
def convert_audio():
listdir=os.listdir()
for i in range(len(listdir)):
if ... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/audio_augmentation/helpers/audio_augmentation/setup.py | augmentation/audio_augmentation/helpers/audio_augmentation/setup.py | '''
Quick installation script to get everything up-and-running.
'''
import os
os.system('brew install opus-tools')
os.system('brew install opus')
os.system('brew install sox')
os.system('brew install ffmpeg')
os.system('pip3 install -U nltk')
import nltk
nltk.download('wordnet')
os.system('pip3 install -r requirements... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/audio_augmentation/helpers/audio_augmentation/audio_augment_folder.py | augmentation/audio_augmentation/helpers/audio_augmentation/audio_augment_folder.py | import os, sys, librosa, shutil, time, random, math
from pydub import AudioSegment
import soundfile as sf
def remove_json():
listdir=os.listdir()
for i in range(len(listdir)):
if listdir[i][-5:]=='.json':
os.remove(listdir[i])
def convert_audio():
listdir=os.listdir()
for i in range(len(listdir)):
if ... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/augment_imgaug.py | augmentation/image_augmentation/augment_imgaug.py | '''
AAA lllllll lllllll iiii
A:::A l:::::l l:::::l i::::i
A:::::A l:::::l l:::::l iiii
A:::::::A l:::::l l:::::l
... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/augment.py | augmentation/image_augmentation/augment.py | '''
AAA lllllll lllllll iiii
A:::A l:::::l l:::::l i::::i
A:::::A l:::::l l:::::l iiii
A:::::::A l:::::l l:::::l
... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/multicore.py | augmentation/image_augmentation/helpers/imgaug/multicore.py | """Classes and functions dealing with multicore augmentation."""
from __future__ import print_function, division, absolute_import
import sys
import multiprocessing
import threading
import traceback
import time
import random
import numpy as np
import imgaug.imgaug as ia
from imgaug.augmentables.batches import Batch, U... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/testutils.py | augmentation/image_augmentation/helpers/imgaug/testutils.py | """
Some utility functions that are only used for unittests.
Placing them in test/ directory seems to be against convention, so they are part of the library.
"""
from __future__ import print_function, division, absolute_import
import random
import numpy as np
import six.moves as sm
import imgaug as ia
def create_... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/__init__.py | augmentation/image_augmentation/helpers/imgaug/__init__.py | from __future__ import absolute_import
# this contains some deprecated classes/functions pointing to the new
# classes/functions, hence always place the other imports below this so that
# the deprecated stuff gets overwritten as much as possible
from imgaug.imgaug import *
import imgaug.augmentables as augmentables
f... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/dtypes.py | augmentation/image_augmentation/helpers/imgaug/dtypes.py | from __future__ import print_function, division
import warnings
import numpy as np
import six.moves as sm
import imgaug as ia
KIND_TO_DTYPES = {
"i": ["int8", "int16", "int32", "int64"],
"u": ["uint8", "uint16", "uint32", "uint64"],
"b": ["bool"],
"f": ["float16", "float32", "float64", "float128"]
}
... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/parameters.py | augmentation/image_augmentation/helpers/imgaug/parameters.py | from __future__ import print_function, division, absolute_import
import copy as copy_module
from collections import defaultdict
from abc import ABCMeta, abstractmethod
import tempfile
import numpy as np
import six
import six.moves as sm
import scipy
import scipy.stats
import imageio
from . import imgaug as ia
from . ... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | true |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/imgaug.py | augmentation/image_augmentation/helpers/imgaug/imgaug.py | from __future__ import print_function, division, absolute_import
import math
import numbers
import sys
import os
import json
import types
import functools
import numpy as np
import cv2
import imageio
import six
import six.moves as sm
import skimage.draw
import skimage.measure
import collections
from PIL import Image ... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | true |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/augmenters/weather.py | augmentation/image_augmentation/helpers/imgaug/augmenters/weather.py | """
Augmenters that create wheather effects.
Do not import directly from this file, as the categorization is not final.
Use instead::
from imgaug import augmenters as iaa
and then e.g.::
seq = iaa.Sequential([iaa.Snowflakes()])
List of augmenters:
* FastSnowyLandscape
* Clouds
* Fog
* Clou... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | true |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/augmenters/edges.py | augmentation/image_augmentation/helpers/imgaug/augmenters/edges.py | """
Augmenters that deal with edge detection.
Do not import directly from this file, as the categorization is not final.
Use instead ::
from imgaug import augmenters as iaa
and then e.g. ::
seq = iaa.Sequential([
iaa.Canny()
])
List of augmenters:
* Canny
EdgeDetect and DirectedEdgeDetect... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/augmenters/blend.py | augmentation/image_augmentation/helpers/imgaug/augmenters/blend.py | """
Augmenters that blend two images with each other.
Do not import directly from this file, as the categorization is not final.
Use instead ::
from imgaug import augmenters as iaa
and then e.g. ::
seq = iaa.Sequential([
iaa.Alpha(0.5, iaa.Add((-5, 5)))
])
List of augmenters:
* Alpha
*... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | true |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/augmenters/contrast.py | augmentation/image_augmentation/helpers/imgaug/augmenters/contrast.py | """
Augmenters that perform contrast changes.
Do not import directly from this file, as the categorization is not final.
Use instead ::
from imgaug import augmenters as iaa
and then e.g. ::
seq = iaa.Sequential([iaa.GammaContrast((0.5, 1.5))])
List of augmenters:
* GammaContrast
* SigmoidContrast
... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | true |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/augmenters/arithmetic.py | augmentation/image_augmentation/helpers/imgaug/augmenters/arithmetic.py | """
Augmenters that perform simple arithmetic changes.
Do not import directly from this file, as the categorization is not final.
Use instead::
from imgaug import augmenters as iaa
and then e.g.::
seq = iaa.Sequential([iaa.Add((-5, 5)), iaa.Multiply((0.9, 1.1))])
List of augmenters:
* Add
* AddEle... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | true |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/augmenters/flip.py | augmentation/image_augmentation/helpers/imgaug/augmenters/flip.py | """
Augmenters that apply mirroring/flipping operations to images.
Do not import directly from this file, as the categorization is not final.
Use instead ::
from imgaug import augmenters as iaa
and then e.g. ::
seq = iaa.Sequential([
iaa.Fliplr((0.0, 1.0)),
iaa.Flipud((0.0, 1.0))
])
Lis... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/augmenters/size.py | augmentation/image_augmentation/helpers/imgaug/augmenters/size.py | """
Augmenters that somehow change the size of the images.
Do not import directly from this file, as the categorization is not final.
Use instead ::
from imgaug import augmenters as iaa
and then e.g. ::
seq = iaa.Sequential([
iaa.Resize({"height": 32, "width": 64})
iaa.Crop((0, 20))
])
... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | true |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/augmenters/meta.py | augmentation/image_augmentation/helpers/imgaug/augmenters/meta.py | """
Augmenters that don't apply augmentations themselves, but are needed
for meta usage.
Do not import directly from this file, as the categorization is not final.
Use instead ::
from imgaug import augmenters as iaa
and then e.g. ::
seq = iaa.Sequential([...])
List of augmenters:
* Augmenter (base cla... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | true |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/augmenters/pooling.py | augmentation/image_augmentation/helpers/imgaug/augmenters/pooling.py | """
Augmenters that apply pooling operations to images.
Do not import directly from this file, as the categorization is not final.
Use instead ::
from imgaug import augmenters as iaa
and then e.g. ::
seq = iaa.Sequential([
iaa.AveragePooling((1, 3))
])
List of augmenters:
* AveragePooling
... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/augmenters/convolutional.py | augmentation/image_augmentation/helpers/imgaug/augmenters/convolutional.py | """
Augmenters that apply convolutions to images.
Do not import directly from this file, as the categorization is not final.
Use instead ::
from imgaug import augmenters as iaa
and then e.g. ::
seq = iaa.Sequential([
iaa.Sharpen((0.0, 1.0)),
iaa.Emboss((0.0, 1.0))
])
List of augmenters:... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/augmenters/geometric.py | augmentation/image_augmentation/helpers/imgaug/augmenters/geometric.py | """
Augmenters that apply affine transformations or other similar augmentations.
Do not import directly from this file, as the categorization is not final.
Use instead ::
from imgaug import augmenters as iaa
and then e.g. ::
seq = iaa.Sequential([
iaa.Affine(...),
iaa.PerspectiveTransform(..... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | true |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/augmenters/__init__.py | augmentation/image_augmentation/helpers/imgaug/augmenters/__init__.py | from __future__ import absolute_import
from imgaug.augmenters.arithmetic import *
from imgaug.augmenters.blend import *
from imgaug.augmenters.blur import *
from imgaug.augmenters.color import *
from imgaug.augmenters.contrast import *
from imgaug.augmenters.convolutional import *
from imgaug.augmenters.edges import *
... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/augmenters/color.py | augmentation/image_augmentation/helpers/imgaug/augmenters/color.py | """
Augmenters that apply color space oriented changes.
Do not import directly from this file, as the categorization is not final.
Use instead ::
from imgaug import augmenters as iaa
and then e.g. ::
seq = iaa.Sequential([
iaa.Grayscale((0.0, 1.0)),
iaa.AddToHueAndSaturation((-10, 10))
]... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/augmenters/segmentation.py | augmentation/image_augmentation/helpers/imgaug/augmenters/segmentation.py | """
Augmenters that apply changes to images based on forms of segmentation.
Do not import directly from this file, as the categorization is not final.
Use instead ::
from imgaug import augmenters as iaa
and then e.g. ::
seq = iaa.Sequential([
iaa.Superpixels(...)
])
List of augmenters:
* S... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/augmenters/blur.py | augmentation/image_augmentation/helpers/imgaug/augmenters/blur.py | """
Augmenters that blur images.
Do not import directly from this file, as the categorization is not final.
Use instead ::
from imgaug import augmenters as iaa
and then e.g. ::
seq = iaa.Sequential([
iaa.GaussianBlur((0.0, 3.0)),
iaa.AverageBlur((2, 5))
])
List of augmenters:
* Gau... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | true |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/augmenters/overlay.py | augmentation/image_augmentation/helpers/imgaug/augmenters/overlay.py | """Alias for module blend.
Deprecated module. Original name for module blend.py. Was changed in 0.2.8.
"""
from __future__ import print_function, division, absolute_import
from . import blend
import imgaug as ia
@ia.deprecated(alt_func="imgaug.augmenters.blend.blend_alpha()",
comment="It has the exa... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/augmentables/lines.py | augmentation/image_augmentation/helpers/imgaug/augmentables/lines.py | from __future__ import print_function, division, absolute_import
import copy as copylib
import numpy as np
import skimage.draw
import skimage.measure
import cv2
from .. import imgaug as ia
from .utils import normalize_shape, project_coords, interpolate_points
# TODO Add Line class and make LineString a list of Lin... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | true |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/augmentables/polys.py | augmentation/image_augmentation/helpers/imgaug/augmentables/polys.py | from __future__ import print_function, division, absolute_import
import copy
import warnings
import numpy as np
import scipy.spatial.distance
import six.moves as sm
import skimage.draw
import skimage.measure
import collections
from .. import imgaug as ia
from .utils import normalize_shape, interpolate_points
# TOD... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | true |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/augmentables/kps.py | augmentation/image_augmentation/helpers/imgaug/augmentables/kps.py | from __future__ import print_function, division, absolute_import
import copy
import numpy as np
import scipy.spatial.distance
import six.moves as sm
from .. import imgaug as ia
from .utils import normalize_shape, project_coords
def compute_geometric_median(X, eps=1e-5):
"""
Estimate the geometric median of... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/augmentables/segmaps.py | augmentation/image_augmentation/helpers/imgaug/augmentables/segmaps.py | from __future__ import print_function, division, absolute_import
import warnings
import numpy as np
import six.moves as sm
from .. import imgaug as ia
class SegmentationMapOnImage(object):
"""
Object representing a segmentation map associated with an image.
Attributes
----------
DEFAULT_SEGMEN... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/augmentables/batches.py | augmentation/image_augmentation/helpers/imgaug/augmentables/batches.py | from __future__ import print_function, division, absolute_import
import copy
import warnings
import numpy as np
from .. import imgaug as ia
from . import normalization as nlib
DEFAULT = "DEFAULT"
# TODO also support (H,W,C) for heatmaps of len(images) == 1
# TODO also support (H,W) for segmaps of len(images) == 1... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/augmentables/utils.py | augmentation/image_augmentation/helpers/imgaug/augmentables/utils.py | from __future__ import print_function, absolute_import, division
import numpy as np
import six.moves as sm
import imgaug as ia
# TODO integrate into keypoints
def normalize_shape(shape):
"""
Normalize a shape tuple or array to a shape tuple.
Parameters
----------
shape : tuple of int or ndarray
... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/augmentables/__init__.py | augmentation/image_augmentation/helpers/imgaug/augmentables/__init__.py | from __future__ import absolute_import
from imgaug.augmentables.kps import *
from imgaug.augmentables.bbs import *
from imgaug.augmentables.polys import *
from imgaug.augmentables.lines import *
from imgaug.augmentables.heatmaps import *
from imgaug.augmentables.segmaps import *
from imgaug.augmentables.batches import ... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/augmentables/heatmaps.py | augmentation/image_augmentation/helpers/imgaug/augmentables/heatmaps.py | from __future__ import print_function, division, absolute_import
import numpy as np
import six.moves as sm
from .. import imgaug as ia
class HeatmapsOnImage(object):
"""
Object representing heatmaps on images.
Parameters
----------
arr : (H,W) ndarray or (H,W,C) ndarray
Array representi... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/augmentables/normalization.py | augmentation/image_augmentation/helpers/imgaug/augmentables/normalization.py | from __future__ import print_function, division, absolute_import
import functools
import numpy as np
from .. import imgaug as ia
from .. import dtypes as iadt
def _preprocess_shapes(shapes):
if shapes is None:
return None
elif ia.is_np_array(shapes):
assert shapes.ndim in [3, 4]
retu... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | true |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/augmentables/bbs.py | augmentation/image_augmentation/helpers/imgaug/augmentables/bbs.py | from __future__ import print_function, division, absolute_import
import copy
import numpy as np
import skimage.draw
import skimage.measure
from .. import imgaug as ia
from .utils import normalize_shape, project_coords
# TODO functions: square(), to_aspect_ratio(), contains_point()
class BoundingBox(object):
""... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | true |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/external/poly_point_isect_py2py3.py | augmentation/image_augmentation/helpers/imgaug/external/poly_point_isect_py2py3.py | # BentleyOttmann sweep-line implementation
# (for finding all intersections in a set of line segments)
__all__ = (
"isect_segments",
"isect_polygon",
# same as above but includes segments with each intersections
"isect_segments_include_segments",
"isect_polygon_include_segments",
# for testin... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | true |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/external/__init__.py | augmentation/image_augmentation/helpers/imgaug/external/__init__.py | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false | |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/image_augmentation/helpers/imgaug/external/opensimplex.py | augmentation/image_augmentation/helpers/imgaug/external/opensimplex.py | """
This is a copy of the OpenSimplex library,
based on commit d861cb290531ad15825f21dc4cc35c5d4f407259 from 20.07.2017.
"""
# Based on: https://gist.github.com/KdotJPG/b1270127455a94ac5d19
import sys
from ctypes import c_long
from math import floor as _floor
if sys.version_info[0] < 3:
def floor(num):
... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | true |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/csv_augmentation/augment_ctgan_regression.py | augmentation/csv_augmentation/augment_ctgan_regression.py | '''
AAA lllllll lllllll iiii
A:::A l:::::l l:::::l i::::i
A:::::A l:::::l l:::::l iiii
A:::::::A l:::::l l:::::l
... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/csv_augmentation/augment_ctgan_classification.py | augmentation/csv_augmentation/augment_ctgan_classification.py | '''
AAA lllllll lllllll iiii
A:::A l:::::l l:::::l i::::i
A:::::A l:::::l l:::::l iiii
A:::::::A l:::::l l:::::l
... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/csv_augmentation/augment.py | augmentation/csv_augmentation/augment.py | '''
AAA lllllll lllllll iiii
A:::A l:::::l l:::::l i::::i
A:::::A l:::::l l:::::l iiii
A:::::::A l:::::l l:::::l
... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/augmentation/csv_augmentation/helpers/augment_tgan.py | augmentation/csv_augmentation/helpers/augment_tgan.py | import os
import pandas as pd
try:
from tgan.model import TGANModel
except:
os.system('pip3 install tgan==0.1.0')
'''
following this tutorial:
https://nbviewer.jupyter.org/github/aleju/imgaug-doc/blob/master/notebooks/A01%20-%20Load%20and%20Augment%20an%20Image.ipynb
'''
def augment_tgan(csvfile):
data=pd.read_... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
mohammadasim98/met3r | https://github.com/mohammadasim98/met3r/blob/3259e41b7190eaee15b09f23d252e8aaa12b15e7/setup.py | setup.py | import os
from setuptools import setup, find_packages
import subprocess
import sys
from distutils.cmd import Command
with open('requirements.txt') as f:
required = f.read().splitlines()
__version__ = "1.0.1"
class GetSubmodules(Command):
def run(self):
subprocess.check_call(['git', 'submodule', 'updat... | python | MIT | 3259e41b7190eaee15b09f23d252e8aaa12b15e7 | 2026-01-05T07:13:39.862185Z | false |
mohammadasim98/met3r | https://github.com/mohammadasim98/met3r/blob/3259e41b7190eaee15b09f23d252e8aaa12b15e7/test/random.py | test/random.py | import torch
from met3r import MET3R
import unittest
class MET3RTest(unittest.TestCase):
def setUp(self):
self.metric = MET3R().cuda()
def random_inputs(self):
inputs = torch.randn((10, 2, 3, 256, 256)).cuda()
inputs = inputs.clip(-1, 1)
score, mask = self.metric(inputs)
... | python | MIT | 3259e41b7190eaee15b09f23d252e8aaa12b15e7 | 2026-01-05T07:13:39.862185Z | false |
mohammadasim98/met3r | https://github.com/mohammadasim98/met3r/blob/3259e41b7190eaee15b09f23d252e8aaa12b15e7/met3r/path_to_mast3r.py | met3r/path_to_mast3r.py | # Copyright (C) 2024-present Naver Corporation. All rights reserved.
# Licensed under CC BY-NC-SA 4.0 (non-commercial use only).
#
# --------------------------------------------------------
# mast3r submodule import
# --------------------------------------------------------
import sys
import os.path as path
HERE_PATH ... | python | MIT | 3259e41b7190eaee15b09f23d252e8aaa12b15e7 | 2026-01-05T07:13:39.862185Z | false |
mohammadasim98/met3r | https://github.com/mohammadasim98/met3r/blob/3259e41b7190eaee15b09f23d252e8aaa12b15e7/met3r/path_to_dust3r.py | met3r/path_to_dust3r.py | # Copyright (C) 2024-present Naver Corporation. All rights reserved.
# Licensed under CC BY-NC-SA 4.0 (non-commercial use only).
#
# --------------------------------------------------------
# dust3r submodule import
# --------------------------------------------------------
import sys
import os.path as path
HERE_PATH ... | python | MIT | 3259e41b7190eaee15b09f23d252e8aaa12b15e7 | 2026-01-05T07:13:39.862185Z | false |
mohammadasim98/met3r | https://github.com/mohammadasim98/met3r/blob/3259e41b7190eaee15b09f23d252e8aaa12b15e7/met3r/__init__.py | met3r/__init__.py | from .met3r import MEt3R | python | MIT | 3259e41b7190eaee15b09f23d252e8aaa12b15e7 | 2026-01-05T07:13:39.862185Z | false |
mohammadasim98/met3r | https://github.com/mohammadasim98/met3r/blob/3259e41b7190eaee15b09f23d252e8aaa12b15e7/met3r/met3r.py | met3r/met3r.py |
import sys
import os
import os.path as path
from typing import Literal, Optional, Union
import torch
from torch import Tensor
from torch.nn import Identity, functional as F
from pathlib import Path
from torch.nn import Module
from jaxtyping import Float, Bool
from typing import Union, Tuple
from einops import rear... | python | MIT | 3259e41b7190eaee15b09f23d252e8aaa12b15e7 | 2026-01-05T07:13:39.862185Z | false |
LeeKeyu/sarl_star | https://github.com/LeeKeyu/sarl_star/blob/179e314db9a447c64219f8f108a9aae8074b555f/people/wu_ros_tools/manifest_cleaner/scripts/stats.py | people/wu_ros_tools/manifest_cleaner/scripts/stats.py | #!/usr/bin/python
import rospy
import xml.dom.minidom
import os
import os.path
import sys
import collections
import operator
from urlparse import urlparse
import httplib
def get_code(url):
x = urlparse(url)
try:
conn = httplib.HTTPConnection(x.netloc)
conn.request("HEAD", x.path)
ret... | python | MIT | 179e314db9a447c64219f8f108a9aae8074b555f | 2026-01-05T07:13:38.970356Z | false |
LeeKeyu/sarl_star | https://github.com/LeeKeyu/sarl_star/blob/179e314db9a447c64219f8f108a9aae8074b555f/people/wu_ros_tools/catkinize_this/scripts/catkinize_this.py | people/wu_ros_tools/catkinize_this/scripts/catkinize_this.py | #!/usr/bin/python
import rospy
from xml.dom import minidom
import subprocess
import os.path
found = {}
def get_root(package):
p = subprocess.Popen(['rospack', 'find', package], stdout=subprocess.PIPE, stderr=subprocess.PIPE)
out, err = p.communicate()
return out.strip()
def is_catkinized(package, root=N... | python | MIT | 179e314db9a447c64219f8f108a9aae8074b555f | 2026-01-05T07:13:38.970356Z | false |
LeeKeyu/sarl_star | https://github.com/LeeKeyu/sarl_star/blob/179e314db9a447c64219f8f108a9aae8074b555f/people/wu_ros_tools/joy_listener/setup.py | people/wu_ros_tools/joy_listener/setup.py | #!/usr/bin/env python
from distutils.core import setup
from catkin_pkg.python_setup import generate_distutils_setup
package_info = generate_distutils_setup(
packages=['joy_listener'],
package_dir={'': 'src'},
)
setup(**package_info)
| python | MIT | 179e314db9a447c64219f8f108a9aae8074b555f | 2026-01-05T07:13:38.970356Z | false |
LeeKeyu/sarl_star | https://github.com/LeeKeyu/sarl_star/blob/179e314db9a447c64219f8f108a9aae8074b555f/people/wu_ros_tools/joy_listener/src/joy_listener/__init__.py | people/wu_ros_tools/joy_listener/src/joy_listener/__init__.py | import roslib; roslib.load_manifest('joy_listener')
import rospy
from sensor_msgs.msg import Joy
class JoyListener(dict):
def __init__(self, wait_time=1.0, joy_topic='/joy'):
self.wait_time = wait_time
self.sub = rospy.Subscriber(joy_topic, Joy, self.joy_cb, queue_size=1)
self.last_time = r... | python | MIT | 179e314db9a447c64219f8f108a9aae8074b555f | 2026-01-05T07:13:38.970356Z | false |
LeeKeyu/sarl_star | https://github.com/LeeKeyu/sarl_star/blob/179e314db9a447c64219f8f108a9aae8074b555f/people/wu_ros_tools/rosbaglive/scripts/play.py | people/wu_ros_tools/rosbaglive/scripts/play.py | #!/usr/bin/python
import rospy
import rosbag
import sys
# F#@K IT WE'LL DO IT LIVE
if __name__=='__main__':
rospy.init_node('rosbaglive')
bagfn = None
should_loop = False
loop_sleep = 0.1
for arg in sys.argv[1:]:
if ".bag" in arg:
bagfn = arg
elif arg=='-l':
... | python | MIT | 179e314db9a447c64219f8f108a9aae8074b555f | 2026-01-05T07:13:38.970356Z | false |
LeeKeyu/sarl_star | https://github.com/LeeKeyu/sarl_star/blob/179e314db9a447c64219f8f108a9aae8074b555f/people/wu_ros_tools/easy_markers/setup.py | people/wu_ros_tools/easy_markers/setup.py | #!/usr/bin/env python
from distutils.core import setup
from catkin_pkg.python_setup import generate_distutils_setup
package_info = generate_distutils_setup(
packages=['easy_markers'],
package_dir={'': 'src'},
)
setup(**package_info)
| python | MIT | 179e314db9a447c64219f8f108a9aae8074b555f | 2026-01-05T07:13:38.970356Z | false |
LeeKeyu/sarl_star | https://github.com/LeeKeyu/sarl_star/blob/179e314db9a447c64219f8f108a9aae8074b555f/people/wu_ros_tools/easy_markers/scripts/interactive_marker_demo.py | people/wu_ros_tools/easy_markers/scripts/interactive_marker_demo.py | #!/usr/bin/python
import rospy
from easy_markers.interactive import InteractiveGenerator
def callback(feedback):
print feedback
if __name__=='__main__':
rospy.init_node('itest')
ig = InteractiveGenerator()
ig.makeMarker(controls=["move_x", "rotate_x"])
ig.makeMarker(controls=["move_y", "rotate_y... | python | MIT | 179e314db9a447c64219f8f108a9aae8074b555f | 2026-01-05T07:13:38.970356Z | false |
LeeKeyu/sarl_star | https://github.com/LeeKeyu/sarl_star/blob/179e314db9a447c64219f8f108a9aae8074b555f/people/wu_ros_tools/easy_markers/scripts/std_marker_demo.py | people/wu_ros_tools/easy_markers/scripts/std_marker_demo.py | #!/usr/bin/python
import rospy
from easy_markers.generator import *
if __name__=='__main__':
rospy.init_node('some_markers')
pub = rospy.Publisher('/visualization_marker', Marker)
gen = MarkerGenerator()
gen.ns = '/awesome_markers'
gen.type = Marker.SPHERE_LIST
gen.scale = [.3]*3
gen.frame... | python | MIT | 179e314db9a447c64219f8f108a9aae8074b555f | 2026-01-05T07:13:38.970356Z | false |
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