Comments (2)
Hej, based on your description, I believe you're running the demo. In that case, the model configuration in
configs/model/sam_pt.yaml
will be overridden in the root configurationconfigs/demo.yaml
. Thus, to use point reinitialization in the demo, you can change theuse_point_reinit
totrue
inconfigs/demo.yaml
. You can also add amodel.use_point_reinit=true
argument when running the program in the terminal to override the value without modifyingyaml
files.To delve further into the use of Hydra, you could look into the following resources:
- The Hydra getting started guide for a broad overview
- Understanding how default lists work
- Learning the syntax for overrides
I hope this helps clarify the configs for you!
Hej, based on your description, I believe you're running the demo. In that case, the model configuration in
configs/model/sam_pt.yaml
will be overridden in the root configurationconfigs/demo.yaml
. Thus, to use point reinitialization in the demo, you can change theuse_point_reinit
totrue
inconfigs/demo.yaml
. You can also add amodel.use_point_reinit=true
argument when running the program in the terminal to override the value without modifyingyaml
files.To delve further into the use of Hydra, you could look into the following resources:
- The Hydra getting started guide for a broad overview
- Understanding how default lists work
- Learning the syntax for overrides
I hope this helps clarify the configs for you!
THANKS for your help. It's solved.
from sam-pt.
Hej, based on your description, I believe you're running the demo. In that case, the model configuration in configs/model/sam_pt.yaml
will be overridden in the root configuration configs/demo.yaml
. Thus, to use point reinitialization in the demo, you can change the use_point_reinit
to true
in configs/demo.yaml
. You can also add a model.use_point_reinit=true
argument when running the program in the terminal to override the value without modifying yaml
files.
To delve further into the use of Hydra, you could look into the following resources:
- The Hydra getting started guide for a broad overview
- Understanding how default lists work
- Learning the syntax for overrides
I hope this helps clarify the configs for you!
from sam-pt.
Related Issues (20)
- want to get image mask, for use in bundlesdf project, just run demo line, HOT 3
- (sam) D:\computer_vision\sam-pt>python -m demo.demo \frames_path='sam-pt/data/demo_data/bees/' \query_points_path=null \ longest_side_length=1024 frame_stride=1 max_frames=-1 LexerNoViableAltException: \frames_path='sam-pt/data/demo_data/bees/' ^ See https://hydra.cc/docs/1.2/advanced/override_grammar/basic for details Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace. HOT 3
- An error occurred while running the interactive demo, how to solve it HOT 2
- RuntimeError: CUDA out of memory. Tried to allocate 20.00 MiB (GPU 0; 2.00 GiB total capacity; 1.69 GiB already allocated; 0 bytes free; 1.74 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. HOT 1
- How to generate a mask file with a demo program HOT 1
- problem when installing requirements.txt HOT 1
- How to use mask sampling for tracing? HOT 3
- Disappearing tracked objects HOT 2
- Confused about the key to enter when running demo or test HOT 1
- AssertionError: No frames found in /content/sam-pt/data/demo_data/bees/
- HQ-SAM predictor issue HOT 2
- Model creation outside repo directory HOT 1
- Add feature points in real time HOT 2
- Tracking ability with a small number of frames HOT 1
- How to get evaluation results for DAVIS2016, YouTube2018 and MOSE? HOT 2
- Error in call to target 'sam_pt.point_tracker.pips.tracker.PipsPointTracker' HOT 2
- Error to load model when running the demo HOT 1
- Cab sam-pt automatically track? HOT 4
- Error running the Non-interactivte Demo HOT 1
- detectron2 fails installation HOT 1
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