Getting Error While downloading multiple classes images

[satheeshkatipomu]

Thanks for great tool to download Open Images. I am facing below error while downloading images of multiple classes. Traceback (most recent call last): File "main.py", line 37, in <module> bounding_boxes_images(args, DEFAULT_OID_DIR) File "/Users/OpenImages/OID/OIDv4_ToolKit/modules/bounding_boxes.py", line 106, in bounding_boxes_images class_dict[class_name] = df_classes.loc[df_classes[1] == class_name].values[0][0] IndexError: index 0 is out of bounds for axis 0 with size 0

I tried two method where listing all classes as command line argument and passing a text file which contains classes as a command line argument. But facing same error.

Also searched previous issues who faced similar issues and tried suggested method but no luck Issue 37 Issue 13

Commands I ran are: 1)python3 main.py downloader --classes Car Person Bicycle Taxi Truck Building Traffic_light Tree Traffic_sign Stop_sign Billboard Missle Motorcycle Van Tire Airplane Wheel Tank Stree_light Submarine --type_csv all --multiclasses 1 --limit 100

2)python3 main.py downloader --classes classes_custom.txt --type_csv all --multiclasses 1 --limit 100

contents in classes_custom.txt are: Car Person Bicycle Taxi Truck Building Traffic light Tree Traffic sign Stop sign Billboard Missle Motorcycle Van Tire Airplane Wheel Tank Street light Submarine

[satheeshkatipomu]

Ok, I got the issue, "Missile" spelling is wrong. We can provide most descriptive error message. Shall I raise a PR for this? Please close the issue if not required.

[keldrom]

May this could be another check to add into the toolkit in future

[Niklaus28]

I also face the same issue, but I do not have any spelling error.

python main.py downloader --classes Football --type_csv train --limit 100

Traceback (most recent call last): File "main.py", line 35, in image_level(args, DEFAULT_OID_DIR) File "C:\OIDv4_ToolKit\modules\image_level.py", line 74, in image_level df_val = TTV(csv_dir, name_file, args.yes) File "C:\OIDv4_ToolKit\modules\csv_downloader.py", line 21, in TTV df_val = pd.read_csv(CSV) File "C:\Users\haoji\Python38\lib\site-packages\pandas\io\parsers.py", line 686, in read_csv return _read(filepath_or_buffer, kwds) File "C:\Users\haoji\Python38\lib\site-packages\pandas\io\parsers.py", line 458, in _read data = parser.read(nrows) File "C:\Users\haoji\Python38\lib\site-packages\pandas\io\parsers.py", line 1186, in read ret = self._engine.read(nrows) File "C:\Users\haoji\Python38\lib\site-packages\pandas\io\parsers.py", line 2145, in read data = self._reader.read(nrows) File "pandas_libs\parsers.pyx", line 826, in pandas._libs.parsers.TextReader.read File "pandas_libs\parsers.pyx", line 869, in pandas._libs.parsers.TextReader._read_low_memory File "pandas_libs\parsers.pyx", line 2053, in pandas._libs.parsers._concatenate_chunks File "<__array_function__ internals>", line 5, in concatenate MemoryError: Unable to allocate 213. MiB for an array with shape (27894289,) and data type int64

[varun003]

Iam getting this error while downloading this class, I have checked there is no typing error:

python main.py downloader --classes Personal_flotation_device --type_csv train --limit 300.

[Darmandran]

Iam getting this error while downloading this class, I have checked there is no typing error:

python main.py downloader --classes Personal_flotation_device --type_csv train --limit 300.

for some reason Personal_flotation_device is actually Lifejacket python main.py downloader --classes Lifejacket --type_csv train --limit 300