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EscVM / OIDv4_ToolKit

Download and visualize single or multiple classes from the huge Open Images v4 dataset
GNU General Public License v3.0
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OSError: [WinError 6] The handle is invalid #38

Closed santhoshsridhar0304 closed 5 years ago

santhoshsridhar0304 commented 5 years ago

Command: python main.py downloader --classes Shirt --type_csv all

StackTrace:

[DOWNLOAD] | File train-annotations-bbox.csv downloaded into OID\csv_folder\trai n-annotations-bbox.csv. Traceback (most recent call last): File "D:\Projects\Product Tagging\tensorflow1\addons\OIDv4_ToolKit\modules\dow nloader.py", line 25, in download columns, rows = os.get_terminal_size(0) OSError: [WinError 6] The handle is invalid During handling of the above exception, another exception occurred: Traceback (most recent call last): File "main.py", line 36, in bounding_boxes_images(args, DEFAULT_OID_DIR) File "D:\Projects\Product Tagging\tensorflow1\addons\OIDv4_ToolKit\modules\bou nding_boxes.py", line 87, in bounding_boxes_images download(args, df_val, folder[i], dataset_dir, class_name, class_code) File "D:\Projects\Product Tagging\tensorflow1\addons\OIDv4_ToolKit\modules\dow nloader.py", line 27, in download columns, rows = os.get_terminal_size(1) OSError: [WinError 6] The handle is invalid

keldrom commented 5 years ago

Already solved this issue. Download the latest version of the toolkit.

AbdoElfathi commented 4 years ago

still have the same issue :(

Muzammil-Elahi commented 4 years ago

I have the same issue

debabratp commented 1 year ago

I am using OID v4 locally. I too got the same error. I noticed that, using --limit option with value more than 8 resulted to this error. I think this error is related to System resource utilization.

My machine is having 8GB RAM and i7 4 core CPU .