Yadnesh Dhanawade
Yadnesh Dhanawade
The project works well with pyopenpose 1.6.0 version. Before configuring cmake, clone the git repository of pybind11 in openpose-master/3rdparty directory instead of openpose-master/build/3rdparty directory. Be careful to properly edit the...
Any updates on this issue? I am facing this from last 5 weeks.
Very high RAM usage of CVAT in browser for object detection bounding box annotations on client side.
Server version: 2.19.0 Core version: 15.2.0 Canvas version: 2.20.9 UI version: 1.66.0 Few Images are HD of 6 MB size and 5000 x 8000 pixels resolution.
Very high RAM usage of CVAT in browser for object detection bounding box annotations on client side.
Currently the annotators PC have 16 GB RAM. Only chrome is running on it. Sometimes it consumes 15 GB RAM which is much more for simple annotations job. For some...
Very high RAM usage of CVAT in browser for object detection bounding box annotations on client side.
Chrome shows CVAT consumes max 6.7 GB. At start, it is 316 MB, then fluctuates between values - 5.3 GB, 6.7 GB, 3.3 GB, etc. when I navigate between images....
Very high RAM usage of CVAT in browser for object detection bounding box annotations on client side.
I didn't change default value. Yes I need to navigate frames sometimes. Don't apply any color filters, equalization or anything else. What are contextual images ? I need some time...
Very high RAM usage of CVAT in browser for object detection bounding box annotations on client side.
@bsekachev Please download sample dataset - [download](https://cmscomputersindia-my.sharepoint.com/:u:/g/personal/yadnesh_dhanawade_cms_co_in/EVzy8VbH4aVKsknqGg9J640B5q-5zjBEASuk9aGIl-EYpg?e=qwvSuI) It is YOLOv8 detection 1.0 format.
Very high RAM usage of CVAT in browser for object detection bounding box annotations on client side.
@bsekachev Any updates on it buddy? Are you guys working on it ? Have you guys downloaded sample dataset from above link provided? I need to delete it from drive.
Very high RAM usage of CVAT in browser for object detection bounding box annotations on client side.
@bsekachev @ducviet00-h2 I know the issue arises due to high memory space occupied by images. I think it would be a good idea to inform user about the dataset and...
Very high RAM usage of CVAT in browser for object detection bounding box annotations on client side.
@bsekachev @ducviet00-h2 One more feature request. While creating the Dataset task too inside CVAT, it used to consume lots of RAM. The reason I had to go for 32 GB...