-
-
Because other approaches like ODISE and Mask2Former evaluate on ADE20k, I was wondering if there was a script or summary of instructions on how to evaluate on cross-dataset on ADE20k-150?
Thanks s…
-
加载下载好的模型, oneformer出错,huggingface_hub.utils._validators.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name':
oneformer_ade20k_processor = OneFormerProcessor.from_p…
-
Hello,
I've been attempting to deploy the mask2former_flash_internimage_s_640_160k_ade20k_ss model using the provided deploy.py script from the internimage repository, located in the segmentation f…
-
When used ade20k data, the ground truth is 3 channel, which corresponding to classes. I wonder if we need generate grayscale image firstly, and then read the gt image to train the model?
Thanks!
-
AssertionError: config/ade20k/ade20k_pspnet50.yaml is not a yaml file
please help me,thank you
-
Hello! Thank you for your wonderful project!
When I trained ADE20k data set, some problems appeared. What is the value of-use _ vae10 in ade20k.sh? I set 10 to start training, but the speed is very s…
-
Hello,
I followed the instructions and ran eval_all.m on the ADE20K Validation Dataset (the one from the Challenge). Unfortunately the results are very bad:
Mean IoU over 150 classes: 0.0007
Pix…
pjohh updated
6 years ago
-
For the results of resnest on ade20k, what is the base-size and crop-size? Thanks for your reply!
-
Hi, I am looking for the 22k-supervised fine-tuning ConvNeXt-V2-H model without 1k-supervised fine-tuning. I want to use it to fine-tune on ade20k, reproducing the result in Table 7 of the paper.