lvis-api
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Python API for LVIS Dataset
## ❓ Questions and Help I downloaded training set of 1,270,141 instances (1 GB), and 100,170 images (18 GB) from the website "https://www.lvisdataset.org/dataset". I wonder where is the ground truth...
## 🐛 Bug The `LICENSE` and `requirements.txt` files are missing on the PyPi distribution. ## To Reproduce Steps to reproduce the behavior. Download https://files.pythonhosted.org/packages/ea/fe/c18531099e7538bd6a53de8b2f8e900a5cf6a82d0c603325031a4122da5a/lvis-0.5.3.tar.gz and check file contents. ## Expected...
## ❓ Questions and Help I wonder if there is a way to know what each category correspond to? for example in coco we do `catIds = coco.getCatIds(catNms=['cat']); ` o...
## ❓ Questions and Help Hi to everybody, I would convert the annotations file downloaded from lvisdataset.org in COCO format. I see these are not the same also if they...
## ❓ Questions and Help how to get lvis v0.5?
Does the weighted sum of APr, APc, APf equal to AP?
Thanks for the clean code! I have a confusion about the `_get_gt_dt` function, in line https://github.com/lvis-dataset/lvis-api/blob/031ac21f939bcb5f1ca8de2ab8704082e101ff9b/lvis/eval.py#L158 and https://github.com/lvis-dataset/lvis-api/blob/031ac21f939bcb5f1ca8de2ab8704082e101ff9b/lvis/eval.py#L163, according to the doc string of the function that parameter `cat_id` is...
LVIS API on [PyPI](https://pypi.org/project/lvis/) is not update-to-date after recent changes to support numpy==1.18. Could you update the package on PyPI and also update the python package versions in requirement.txt? Thanks!
Logging
## 🐛 Bug Logging can interfere with the logging used in object detection toolboxes like mmdetection. ## To Reproduce - clone and install [mmdetection](https://github.com/open-mmlab/mmdetection) ``` git clone https://github.com/open-mmlab/mmdetection.git cd mmdetection...
Hi @agrimgupta92 , As my understanding, the LVIS has more than 1200 categories and each category will have a colormap for visualization. However, I checked the result of the below...