Comments (4)
Yes, but please do note that we often do not perform as well as end-to-end methods on these datasets. You can refer to the demo scripts for implementation, but some custom coding is always required to connect the image detection algorithm with our method.
from tracking-anything-with-deva.
Thanks for your reply. Could you provide some details on how to design some custom coding? We are now following your work.
from tracking-anything-with-deva.
Hello, can you help me?@hkchengrex
from tracking-anything-with-deva.
Hi,
The demo_automatic.py and demo_with_text.py are two examples.
from tracking-anything-with-deva.
Related Issues (20)
- Cannot segment and track Gundam. Any suggestion? Thanks HOT 1
- mask problem HOT 11
- Get object features from inner layers for Object Tracking HOT 1
- Full Version Checkpoint Required for Fine-Tuning HOT 1
- How to maintain the same id when an object leaves and re-enters the field of view in a static scene? Any suggestion? HOT 2
- Do you use Cutie for mask propagation in this project? HOT 1
- Fail to tracking anything in green plant scenes. Any suggestion? HOT 4
- Can you provide DEVA's J and F scores on the Ref-DAVIS? HOT 1
- Something about calculating the OWTA in open-world task HOT 1
- Something about the provided detection on VIPSeg HOT 3
- SAM for the training sets of YouTube VOS and Davis 2017 HOT 2
- RuntimeWarning: Trying to segment without any memory HOT 6
- Subsampling BURST when evaluating HOT 1
- Hello, I found that this method matches black results when there are only two images of this input.。。 HOT 1
- reading data is particularly slow HOT 2
- Will changing the batch size from 16 to 18 and running with 6 cards result in performance loss? HOT 3
- RuntimeError: shape '[1, 63, 512, 20, 27]' is invalid for input of size 19353600 HOT 2
- Floor tracking is poor. Any suggestion? HOT 3
- How to Perform Inference on Multiple Videos? HOT 1
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