Михаил

These are the same metrics, just called differently

@Warcry25 I think it's time to close this issue

I recently developed a project where I used **MultiDatasetsEvaluator** ```py val_dataloader = dict( batch_size=BATCH//2, num_workers=BATCH//2, drop_last=False, persistent_workers=True, sampler=dict(type="DefaultSampler", shuffle=False), dataset=dict( type="ConcatDataset", datasets=[val_real_dataset, val_synth_dataset], ), ) ``` and ```py if use_segm:...

Hi, friend! If you continue to work on your PR, check out the new version of the library. I added LVIS support, some useful C++ features, data preprocessing acceleration, etc....

https://github.com/MiXaiLL76/faster_coco_eval/commit/3ea78b47102477763f76843b4e097a9dee91e419 I probably solved the problem with this PR. Look at the code. I implemented some functions in C++ and they are faster than usual. It is impossible to connect...

Can you share your test dataset? GT+DT? So that I can add it to the tests and possibly correct the differences in values

Thank you, I will study the data and correct the scripts if possible

@JohannesTheo look at this! https://github.com/MiXaiLL76/faster_coco_eval/commit/30a9891a30526154d9d61dfcd9369301e6f7962b I made the calculations asynchronous, quite a complex code, but it works and quite quickly! True, with a full repetition of the opencv function does...

> Hey @MiXaiLL76, unfortunately I can't get [30a9891](https://github.com/MiXaiLL76/faster_coco_eval/commit/30a9891a30526154d9d61dfcd9369301e6f7962b) to work. From what I can tell is that CPU usage peaks for a very short time when `calculateRleForAllAnnotations` but then gets...

> Maybe it's some system limits like open files when using the async C++? Just a wild guess. Hope the code example helps to narrow things down. Let me know...