GPU is not work in mask RCNN

[IdentifyResearchAreasandGoals]

My enviroment is windows NVIDIA GeForce RTX3050LaptopGPU • Step 1: I create Mask_RCNN environment python version is 3.6  conda create -n Mask_RCNN python=3.6 • Step 2:Clone the repository. First, we will clone the mask rcnn repository which has the architecture for Mask R-CNN Download mrcnn folder from this repository: https://github.com/matterport/Mask_RCNN • Step 3: Install the dependencies  pip install tensorflow-gpu==1.15.0  pip install keras==2.2.5  pip install numpy  pip install scipy  pip install Pillow  pip install cython  pip install matplotlib  pip install scikit-image  pip install opencv-python  pip install h5py==2.10.0  pip install IPython[all]  python setup.py install • Step 4: Download the pre-trained weights (trained on MS COCO) ...  Download coco weights : [https://github.com/matterport/Mask_RC.](https://www.youtube.com/redirect? • Step 5: Create folder : Dataset  3- Create dataset folder. Under dataset folder -> Create 2 folders "train" and "val".  4- Put training images in train folder.  5- Put validation images in val folder  6- Use VGGAnnotator tool for Annotations.

[IdentifyResearchAreasandGoals]

How to solve

[player3up]

same problem do u solve？

[QingMing114]

I solved the problem through this blog: https://blog.csdn.net/qq_45743084/article/details/136207700