[Benchmark] unable to test the given dataset ILSVRC2012_img_val or owndataset to test the image_benchmark.py with.

[karishmathumu]

Ran the following command on CLI (Windows i7 PC)
albumentations/benkcmark> python image_benchmark.py --data-dir /path/to/image/directory --images 2000 --runs 5 --print-package-versions

Issue:
Executed the command on the terminal.
Observed the blinking underscore cursor with no output for over 10 minutes.

looked like stuck in infinite loop or a hang in the process.
Or could be incorrect or incomplete command execution.

Even Ctrl + C or Ctrl+Z does not seem to work .
Had to close the terminal and redo it again.

[ternaus]

I did not check the benchmark in Windows as I do not have it and I do not have issues in Linux

Could some specifics of that os.

1. What happens if you use --images 10 --runs 1 ?
2. Did you download images to the folder that you are pointing to?
3. Can you check and put images outside of the albumentations folder?

 python -m benchmark.image_benchmark --data-dir ~/workspace/evo970/data/Imagenet1k/ILSVRC2015/Data/CLS-LOC/val --images 10 --runs 1 --markdown --show-std --print-package-versions -o df.csv
| Library | Version |
|---------|---------|
| Python | 3.10.13 (main, Sep 11 2023, 13:44:35) [GCC 11.2.0] |
| albumentations | 1.4.8 |
| imgaug | 0.4.0 |
| torchvision | 0.18.1+rocm6.0 |
| numpy | 1.26.4 |
| opencv-python-headless | 4.10.0.84 |
| scikit-image | 0.24.0 |
| scipy | 1.14.0 |
| pillow | 10.4.0 |
| kornia | 0.7.3 |
| augly | 1.0.0 |

Loading images for OpenCV: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 261.17it/s]
Loading images for Pillow: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 458.83it/s]
Loading images for Torch: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 534.07it/s]
Loading images for Kornia: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 341.54it/s]
Current benchmark: ColorJitter:  50%|████████████████████████████████████████████████████████████████████████████████████████████████▌                                                                                                | 11/22 [00:01<00:01,  6.80it/s]
/home/vladimir/anaconda3/envs/albumentations_benchmark/lib/python3.10/site-packages/pydantic/main.py:363: UserWarning: Pydantic serializer warnings:
  Expected `Union[float, tuple[float, float]]` but got `list` - serialized value may not be as expected
  Expected `Union[float, tuple[float, float]]` but got `list` - serialized value may not be as expected
  Expected `Union[float, tuple[float, float]]` but got `list` - serialized value may not be as expected
  Expected `Union[float, tuple[float, float]]` but got `list` - serialized value may not be as expected
  return self.__pydantic_serializer__.to_python(
Current benchmark: JpegCompression:  82%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋                                  | 18/22 [00:06<00:03,  1.25it/s]
/home/vladimir/anaconda3/envs/albumentations_benchmark/lib/python3.10/site-packages/torch/functional.py:512: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3587.)
  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
Current benchmark: Normalize: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 22/22 [00:16<00:00,  1.35it/s]
|                 |albumentations<br><small>1.4.8</small>|torchvision<br><small>0.18.1+rocm6.0</small>|kornia<br><small>0.7.3</small>|augly<br><small>1.0.0</small>|imgaug<br><small>0.4.0</small>|
|-----------------|--------------------------------------|--------------------------------------------|------------------------------|-----------------------------|------------------------------|
|HorizontalFlip   |**17531 ± 0**                         |3394 ± 0                                    |1403 ± 0                      |8241 ± 0                     |9789 ± 0                      |
|VerticalFlip     |**19194 ± 0**                         |3586 ± 0                                    |1408 ± 0                      |17619 ± 0                    |14321 ± 0                     |
|Rotate           |876 ± 0                               |250 ± 0                                     |272 ± 0                       |**1367 ± 0**                 |625 ± 0                       |
|Affine           |**1635 ± 0**                          |250 ± 0                                     |266 ± 0                       |-                            |849 ± 0                       |
|Equalize         |1331 ± 0                              |505 ± 0                                     |103 ± 0                       |-                            |**1709 ± 0**                  |
|RandomCrop64     |16306 ± 0                             |15918 ± 0                                   |842 ± 0                       |**48968 ± 0**                |7620 ± 0                      |
|RandomResizedCrop|**2447 ± 0**                          |1277 ± 0                                    |194 ± 0                       |-                            |-                             |
|ShiftRGB         |1726 ± 0                              |-                                           |542 ± 0                       |-                            |**2098 ± 0**                  |
|Resize           |**2446 ± 0**                          |1438 ± 0                                    |204 ± 0                       |474 ± 0                      |1992 ± 0                      |
|RandomGamma      |**3006 ± 0**                          |294 ± 0                                     |278 ± 0                       |-                            |2434 ± 0                      |
|Grayscale        |**10285 ± 0**                         |2590 ± 0                                    |700 ± 0                       |3792 ± 0                     |1580 ± 0                      |
|ColorJitter      |**496 ± 0**                           |77 ± 0                                      |68 ± 0                        |286 ± 0                      |-                             |
|PlankianJitter   |818 ± 0                               |-                                           |**909 ± 0**                   |-                            |-                             |
|RandomPerspective|598 ± 0                               |178 ± 0                                     |153 ± 0                       |-                            |**627 ± 0**                   |
|GaussianBlur     |**2532 ± 0**                          |248 ± 0                                     |170 ± 0                       |209 ± 0                      |1572 ± 0                      |
|MedianBlur       |622 ± 0                               |-                                           |2 ± 0                         |-                            |**684 ± 0**                   |
|MotionBlur       |**2994 ± 0**                          |-                                           |186 ± 0                       |-                            |603 ± 0                       |
|Posterize        |2931 ± 0                              |**3591 ± 0**                                |509 ± 0                       |-                            |2179 ± 0                      |
|JpegCompression  |**1004 ± 0**                          |-                                           |68 ± 0                        |879 ± 0                      |571 ± 0                       |
|GaussianNoise    |94 ± 0                                |-                                           |-                             |82 ± 0                       |**175 ± 0**                   |
|Elastic          |**220 ± 0**                           |4 ± 0                                       |1 ± 0                         |-                            |170 ± 0                       |
|Normalize        |**1484 ± 0**                          |603 ± 0                                     |537 ± 0                       |-                            |-                             |

[karishmathumu]

Thank you for your response.
I understand, but I have only windows system.
Tried as you suggested.
Seems like the problem yesterday still persists, like the infinite time it takes whilst nothing happens as the command is executed.

Here are the screenshots.

then changed the location of the extracted dataset's images location

Thank you.