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!pip install jovian --upgrade --quiet |████████████████████████████████| 71kB 2.0MB/s eta 0:00:011
Building wheel for uuid (setup.py) ... done
!pip install livelossplotCollecting livelossplot
Downloading https://files.pythonhosted.org/packages/45/59/1e00dce77cacd9cd6038609809ee3666f6ba46953d2d1862637506b7c5d7/livelossplot-0.5.1-py3-none-any.whl
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Installing collected packages: livelossplot
Successfully installed livelossplot-0.5.1
from livelossplot.tf_keras import PlotLossesCallback
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
from sklearn.metrics import confusion_matrix
from sklearn import metrics
import numpy as np
np.random.seed(42)
import warnings;warnings.simplefilter('ignore')
%matplotlib inline
print('Tensorflow version:', tf.__version__)Tensorflow version: 2.2.0
from google.colab import drive
drive.mount('/content/drive')Go to this URL in a browser: https://accounts.google.com/o/oauth2/auth?client_id=947318989803-6bn6qk8qdgf4n4g3pfee6491hc0brc4i.apps.googleusercontent.com&redirect_uri=urn%3aietf%3awg%3aoauth%3a2.0%3aoob&response_type=code&scope=email%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdocs.test%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive.photos.readonly%20https%3a%2f%2fwww.googleapis.com%2fauth%2fpeopleapi.readonly
Enter your authorization code:
··········
Mounted at /content/drive
train_images = pd.read_csv('dataset/train/images.csv', header=None)
train_labels = pd.read_csv('dataset/train/labels.csv', header=None)
val_images = pd.read_csv('dataset/validation/images.csv', header=None)
val_labels = pd.read_csv('dataset/validation/labels.csv', header=None)---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
<ipython-input-6-477c6a07f2c2> in <module>()
----> 1 train_images = pd.read_csv('dataset/train/images.csv', header=None)
2 train_labels = pd.read_csv('dataset/train/labels.csv', header=None)
3
4 val_images = pd.read_csv('dataset/validation/images.csv', header=None)
5 val_labels = pd.read_csv('dataset/validation/labels.csv', header=None)
/usr/local/lib/python3.6/dist-packages/pandas/io/parsers.py in parser_f(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, dialect, error_bad_lines, warn_bad_lines, delim_whitespace, low_memory, memory_map, float_precision)
674 )
675
--> 676 return _read(filepath_or_buffer, kwds)
677
678 parser_f.__name__ = name
/usr/local/lib/python3.6/dist-packages/pandas/io/parsers.py in _read(filepath_or_buffer, kwds)
446
447 # Create the parser.
--> 448 parser = TextFileReader(fp_or_buf, **kwds)
449
450 if chunksize or iterator:
/usr/local/lib/python3.6/dist-packages/pandas/io/parsers.py in __init__(self, f, engine, **kwds)
878 self.options["has_index_names"] = kwds["has_index_names"]
879
--> 880 self._make_engine(self.engine)
881
882 def close(self):
/usr/local/lib/python3.6/dist-packages/pandas/io/parsers.py in _make_engine(self, engine)
1112 def _make_engine(self, engine="c"):
1113 if engine == "c":
-> 1114 self._engine = CParserWrapper(self.f, **self.options)
1115 else:
1116 if engine == "python":
/usr/local/lib/python3.6/dist-packages/pandas/io/parsers.py in __init__(self, src, **kwds)
1889 kwds["usecols"] = self.usecols
1890
-> 1891 self._reader = parsers.TextReader(src, **kwds)
1892 self.unnamed_cols = self._reader.unnamed_cols
1893
pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader.__cinit__()
pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._setup_parser_source()
FileNotFoundError: [Errno 2] File dataset/train/images.csv does not exist: 'dataset/train/images.csv'