Comments (5)
I rewrote the dataloader for Mask2Former, which can load corresponding annotations in PNG format. Of course, you can also convert the annotations to COCO JSON format.
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thanks a lot. I will try both methods.
from datasetdm.
i've tried but havent make out yet. May i have a look at your solution? Thanks a lot.
from datasetdm.
链接: https://pan.baidu.com/s/13gLjfpo-YcWKkChgtLHRaQ 提取码: i89e
--来自百度网盘超级会员v4的分享
I have uploaded the mask2former code I used at the time to Baidu Netdisk. I hope it will be helpful to you.
from datasetdm.
Thank you very much. I will try this now
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Related Issues (20)
- Ran out of input HOT 1
- About the weights of pre-trained diffusion model HOT 2
- question about coco dataset code HOT 2
- Training not working. HOT 4
- gt_classes in VOC2012.py HOT 1
- ./DataDiffusion/COCO_Train_5_images_t1_10layers_NoClass/Image/ HOT 1
- prompt txt files HOT 1
- About prompt in NYU dataset
- No module named 'torch.distributed.algorithms.join
- Accelerate training via training on multiple gpus HOT 1
- Weights about Depth Estimation
- CUDA out of memory - on 12 GB GPU
- Can't reproduce the results in other COCO-format instance segmentation dataset HOT 3
- exception when trying to generate data HOT 5
- generate_instance_coco HOT 2
- doing data augmentation with coco2017 dataset but no image or mask generate
- prepare NYU dataset
- dataset mode not defined while training HOT 1
- Error in init_latent in ptp_utils.py during training
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