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@nuritgazit commented on [Sun Apr 23 2017](https://github.com/Beit-Hatfutsot/dbs-front/issues/344)
High level design is [here](https://docs.google.com/document/d/11-6WMgyMp7WJ-ZvRniqIwsQpQaDWXxRSjX…
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Traceback (most recent call last):
File "/home/ccq/Data/liu/ViT-Adapter-main/segmentation/train.py", line 11, in
import mmseg_custom # noqa: F401,F403
File "/home/ccq/Data/liu/ViT-Adapte…
ccqlx updated
3 weeks ago
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[paper](https://arxiv.org/pdf/2112.10740.pdf)
target dataset 에 맞춰서 pretraining 하는 게 더 좋은 것 같은데?
굳이 large-scale pretraining 필요 있어?
라고 주장하는 논문
실제로 MaskFeat(#73) 을 보면 Kinetic-400 에서도 비슷한 현상이 있다. …
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As far as I can tell, there is no way to run ZoeDepth in Python 3.10+, because torch v2 introduces a breaking change and v1 cannot run above python 3.9.
My goal is to run this code in Python 3.11 …
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- BEiT config file setting
- train and inference
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Dear Sir,
I would like to pretrain my model on my own dataset like the IAM database.
I'm asking if I should do it using the following command line.
OMP_NUM_THREADS=1 python -m torch.distribute…
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Hi,
I'm converting a test-video with several models, with and without Boost on. Most of the models work, although some I couldn't test out because it took too long.
But when I select DPT_BEIT_LARG…
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Hi
I tried to inference the segmentation model(mask2former_beit_adapter_large_896_80k_cityscapes_ss) and got some weird point.
(1)
Run image_demo.py as
CUDA_VISIBLE_DEVICES=1 python image_demo…
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**Describe the bug**
The encoder accuracy values are not stable throughout training as it skyrockets and dips.
**Reproduction**
1. What command or script did you run?
```CUDA_VISIBLE_DEVICES=…
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Hi, the results of my repeated training on ADE20K using the BEiT-base pretrain model were 53.2 and 53.3 respectively. 0.3-0.4 lower than the official result (53.2 vs. 53.6). We are using the official …