![\"\"](\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F286455%2Fa06ba7a38bbb27720af503104c91a4e1%2Fimg_20200226_120129_021.png?generation=1582777648140677&alt=media\")
My friends told me that I look like this monkey in the last couple of days.
\n\n
It is my first competition, using Kaggle Kernels for inference. I do not use Jupiter notebooks that much, hence I tried to stay away from the Kernel inference competitions.
\n\nI have problems with the submission.
\n\nI get a message: \"Your Notebook cannot use non-standard datasets in this competition\"
\n\nI uploaded my code, pre-trained weights, and open-source libraries facenet_pytorch, pytorch-toolbelt, timm, addict.
Why do I get this error?
\n\nWhat is the definition of the non-standard dataset?
\n\n@philculliton
", "messages": [ { "id": "757758", "postDate": "02/27/2020 04:38:08", "content": "My friends told me that I look like this monkey in the last couple of days.
\n\n
It is my first competition, using Kaggle Kernels for inference. I do not use Jupiter notebooks that much, hence I tried to stay away from the Kernel inference competitions.
\n\nI have problems with the submission.
\n\nI get a message: \"Your Notebook cannot use non-standard datasets in this competition\"
\n\nI uploaded my code, pre-trained weights, and open-source libraries facenet_pytorch, pytorch-toolbelt, timm, addict.
Why do I get this error?
\n\nWhat is the definition of the non-standard dataset?
\n\n@philculliton
", "rawMarkdown": "My friends told me that I look like this monkey in the last couple of days.\n\n\n\nIt is my first competition, using Kaggle Kernels for inference. I do not use Jupiter notebooks that much, hence I tried to stay away from the Kernel inference competitions.\n\nI have problems with the submission. \n\nI get a message: \"*Your Notebook cannot use non-standard datasets in this competition*\"\n\nI uploaded my code, pre-trained weights, and open-source libraries `facenet_pytorch`, `pytorch-toolbelt`, `timm`, `addict`.\n\n\nWhy do I get this error?\n\nWhat is the definition of the non-standard dataset?\n\n@philculliton", "votes": null }, { "id": "757811", "postDate": "02/27/2020 05:57:54", "content": "Have you tried something from this discussion?\nhttps://www.kaggle.com/c/deepfake-detection-challenge/discussion/121679
", "rawMarkdown": "Have you tried something from this discussion?\nhttps://www.kaggle.com/c/deepfake-detection-challenge/discussion/121679", "votes": null }, { "id": "757884", "postDate": "02/27/2020 08:02:23", "content": "Hey,\ni really appreciate to your work\nThanks for sharing!!
", "rawMarkdown": "Hey,\ni really appreciate to your work\nThanks for sharing!!", "votes": null }, { "id": "758139", "postDate": "02/27/2020 13:23:20", "content": "FileNotFoundError Traceback (most recent call last)\n in \n 1 import pandas as pd\n----> 2 df = pd.read_csv('covid_19_data.csv')\n 3 print(df)
\n\n~\\Anaconda3\\lib\\site-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)\n 683 )\n 684 \n--> 685 return _read(filepath_or_buffer, kwds)\n 686 \n 687 parser_f.name = name
\n\n~\\Anaconda3\\lib\\site-packages\\pandas\\io\\parsers.py in _read(filepath_or_buffer, kwds)\n 455 \n 456 # Create the parser.\n--> 457 parser = TextFileReader(fp_or_buf, **kwds)\n 458 \n 459 if chunksize or iterator:
\n\n~\\Anaconda3\\lib\\site-packages\\pandas\\io\\parsers.py in init(self, f, engine, **kwds)\n 893 self.options[\"has_index_names\"] = kwds[\"has_index_names\"]\n 894 \n--> 895 self._make_engine(self.engine)\n 896 \n 897 def close(self):
\n\n~\\Anaconda3\\lib\\site-packages\\pandas\\io\\parsers.py in _make_engine(self, engine)\n 1133 def _make_engine(self, engine=\"c\"):\n 1134 if engine == \"c\":\n-> 1135 self._engine = CParserWrapper(self.f, **self.options)\n 1136 else:\n 1137 if engine == \"python\":
\n\n~\\Anaconda3\\lib\\site-packages\\pandas\\io\\parsers.py in init(self, src, **kwds)\n 1915 kwds[\"usecols\"] = self.usecols\n 1916 \n-> 1917 self._reader = parsers.TextReader(src, **kwds)\n 1918 self.unnamed_cols = self._reader.unnamed_cols\n 1919
\n\npandas_libs\\parsers.pyx in pandas._libs.parsers.TextReader.cinit()
\n\npandas_libs\\parsers.pyx in pandas._libs.parsers.TextReader._setup_parser_source()
\n\nFileNotFoundError: [Errno 2] File b'covid_19_data.csv' does not exist: b'covid_19_data.csv'
\n\nPlease, I need help on this.
", "rawMarkdown": "FileNotFoundError Traceback (most recent call last)", "votes": null }, { "id": "758429", "postDate": "02/27/2020 18:36:58", "content": "Take a look at this topic --> https://www.kaggle.com/c/deepfake-detection-challenge/discussion/132005
\n\nI think the problem may be the dataset type of licence, so try creating private datasets to solve it.
\n\nI hope this helps you
", "rawMarkdown": "Take a look at this topic --> https://www.kaggle.com/c/deepfake-detection-challenge/discussion/132005\n\nI think the problem may be the dataset type of licence, so try creating private datasets to solve it.\n\nI hope this helps you", "votes": null }, { "id": "758608", "postDate": "02/28/2020 01:05:05", "content": "kaggle will replace the test data for last test. that i think.
", "rawMarkdown": "kaggle will replace the test data for last test. that i think.", "votes": null }, { "id": "758630", "postDate": "02/28/2020 01:37:53", "content": "I figured this out.
\n\nI had one dataset that I created using the link to the Github.
\n\nI did not get to the submission yet, things fall later, but at least the submit button is not blocked anymore.
", "rawMarkdown": "I figured this out.\n\nI had one dataset that I created using the link to the Github.\n\nI did not get to the submission yet, things fall later, but at least the submit button is not blocked anymore.", "votes": null }, { "id": "759183", "postDate": "02/28/2020 17:21:26", "content": ".png?generation=1582910461101494&alt=media)
By @drn01z3
", "rawMarkdown": ".png?generation=1582910461101494&alt=media)\n\nBy @drn01z3", "votes": null }, { "id": "759359", "postDate": "02/28/2020 23:36:02", "content": "You're not alone, I got all except \"CSV not found\". \"Kaggle error\" is temporary I got it twice but just re-submit made it works.
", "rawMarkdown": "You're not alone, I got all except \"**CSV not found**\". \"**Kaggle error**\" is temporary I got it twice but just re-submit made it works.", "votes": null }, { "id": "761608", "postDate": "03/02/2020 18:35:40", "content": "Got [Notebook Exceeded Allowed Compute] twice in 2 days. Nightmare ...
", "rawMarkdown": "Got [Notebook Exceeded Allowed Compute] twice in 2 days. Nightmare ...", "votes": null } ], "comments": [ { "id": 757811, "author_name": "vadbeg", "author_url": "", "post_date": "02/27/2020 05:57:54", "content": "Have you tried something from this discussion?\nhttps://www.kaggle.com/c/deepfake-detection-challenge/discussion/121679
", "votes": null, "replies": [] }, { "id": 757884, "author_name": "ravishankarsharma92", "author_url": "", "post_date": "02/27/2020 08:02:23", "content": "Hey,\ni really appreciate to your work\nThanks for sharing!!
", "votes": null, "replies": [] }, { "id": 758139, "author_name": "monsurusanni", "author_url": "", "post_date": "02/27/2020 13:23:20", "content": "FileNotFoundError Traceback (most recent call last)\n in \n 1 import pandas as pd\n----> 2 df = pd.read_csv('covid_19_data.csv')\n 3 print(df)
\n\n~\\Anaconda3\\lib\\site-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)\n 683 )\n 684 \n--> 685 return _read(filepath_or_buffer, kwds)\n 686 \n 687 parser_f.name = name
\n\n~\\Anaconda3\\lib\\site-packages\\pandas\\io\\parsers.py in _read(filepath_or_buffer, kwds)\n 455 \n 456 # Create the parser.\n--> 457 parser = TextFileReader(fp_or_buf, **kwds)\n 458 \n 459 if chunksize or iterator:
\n\n~\\Anaconda3\\lib\\site-packages\\pandas\\io\\parsers.py in init(self, f, engine, **kwds)\n 893 self.options[\"has_index_names\"] = kwds[\"has_index_names\"]\n 894 \n--> 895 self._make_engine(self.engine)\n 896 \n 897 def close(self):
\n\n~\\Anaconda3\\lib\\site-packages\\pandas\\io\\parsers.py in _make_engine(self, engine)\n 1133 def _make_engine(self, engine=\"c\"):\n 1134 if engine == \"c\":\n-> 1135 self._engine = CParserWrapper(self.f, **self.options)\n 1136 else:\n 1137 if engine == \"python\":
\n\n~\\Anaconda3\\lib\\site-packages\\pandas\\io\\parsers.py in init(self, src, **kwds)\n 1915 kwds[\"usecols\"] = self.usecols\n 1916 \n-> 1917 self._reader = parsers.TextReader(src, **kwds)\n 1918 self.unnamed_cols = self._reader.unnamed_cols\n 1919
\n\npandas_libs\\parsers.pyx in pandas._libs.parsers.TextReader.cinit()
\n\npandas_libs\\parsers.pyx in pandas._libs.parsers.TextReader._setup_parser_source()
\n\nFileNotFoundError: [Errno 2] File b'covid_19_data.csv' does not exist: b'covid_19_data.csv'
\n\nPlease, I need help on this.
", "votes": null, "replies": [] }, { "id": 758429, "author_name": "josecarmona", "author_url": "", "post_date": "02/27/2020 18:36:58", "content": "Take a look at this topic --> https://www.kaggle.com/c/deepfake-detection-challenge/discussion/132005
\n\nI think the problem may be the dataset type of licence, so try creating private datasets to solve it.
\n\nI hope this helps you
", "votes": null, "replies": [] }, { "id": 758608, "author_name": "nizhengi", "author_url": "", "post_date": "02/28/2020 01:05:05", "content": "kaggle will replace the test data for last test. that i think.
", "votes": null, "replies": [] }, { "id": 758630, "author_name": "iglovikov", "author_url": "", "post_date": "02/28/2020 01:37:53", "content": "I figured this out.
\n\nI had one dataset that I created using the link to the Github.
\n\nI did not get to the submission yet, things fall later, but at least the submit button is not blocked anymore.
", "votes": null, "replies": [] }, { "id": 759183, "author_name": "iglovikov", "author_url": "", "post_date": "02/28/2020 17:21:26", "content": ".png?generation=1582910461101494&alt=media)
By @drn01z3
", "votes": null, "replies": [ { "id": 759359, "author_name": "mpware", "author_url": "", "post_date": "02/28/2020 23:36:02", "content": "You're not alone, I got all except \"CSV not found\". \"Kaggle error\" is temporary I got it twice but just re-submit made it works.
", "votes": null, "replies": [] }, { "id": 761608, "author_name": "mpware", "author_url": "", "post_date": "03/02/2020 18:35:40", "content": "Got [Notebook Exceeded Allowed Compute] twice in 2 days. Nightmare ...
", "votes": null, "replies": [] } ] } ], "raw_markdown_by_id": { "757758": "My friends told me that I look like this monkey in the last couple of days.\n\n\n\nIt is my first competition, using Kaggle Kernels for inference. I do not use Jupiter notebooks that much, hence I tried to stay away from the Kernel inference competitions.\n\nI have problems with the submission. \n\nI get a message: \"*Your Notebook cannot use non-standard datasets in this competition*\"\n\nI uploaded my code, pre-trained weights, and open-source libraries `facenet_pytorch`, `pytorch-toolbelt`, `timm`, `addict`.\n\n\nWhy do I get this error?\n\nWhat is the definition of the non-standard dataset?\n\n@philculliton", "757811": "Have you tried something from this discussion?\nhttps://www.kaggle.com/c/deepfake-detection-challenge/discussion/121679", "757884": "Hey,\ni really appreciate to your work\nThanks for sharing!!", "758139": "FileNotFoundError Traceback (most recent call last)", "758429": "Take a look at this topic --> https://www.kaggle.com/c/deepfake-detection-challenge/discussion/132005\n\nI think the problem may be the dataset type of licence, so try creating private datasets to solve it.\n\nI hope this helps you", "758608": "kaggle will replace the test data for last test. that i think.", "758630": "I figured this out.\n\nI had one dataset that I created using the link to the Github.\n\nI did not get to the submission yet, things fall later, but at least the submit button is not blocked anymore.", "759183": ".png?generation=1582910461101494&alt=media)\n\nBy @drn01z3", "759359": "You're not alone, I got all except \"**CSV not found**\". \"**Kaggle error**\" is temporary I got it twice but just re-submit made it works.", "761608": "Got [Notebook Exceeded Allowed Compute] twice in 2 days. Nightmare ..." }, "source": "meta" }