Comments (15)
I tried the above command.
However, the '--confidence-threshold' is not active.
Image output visual is not the same as the paper's description:
https://github.com/lalalafloat/VNext#visualization-results-on-ovis-valid-set
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I tried to run python projects/IDOL/demo_idol.py but it is not finding the checkpoint. Have you any idea in which folder I have to put the pre-trained model?
Thanks
You can choose any folder to put the checkpoint, but you need to specify its weight in the configuration file. For example
https://github.com/lalalafloat/VNext/blob/d965e0f7af3ecdfdcf74ba14e0ad5443c06b68cc/projects/IDOL/configs/coco_pretrain/r50_coco_sequence.yaml#L13
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https://github.com/lalalafloat/VNext/blob/main/projects/IDOL/demo_idol.py
python projects/IDOL/demo_idol.py --config-file projects/IDOL/configs/coco_pretrain/r50_coco_sequence.yaml --input input.png --output result.png
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ModuleNotFoundError: No module named 'MultiScaleDeformableAttention'
https://github.com/lalalafloat/VNext/blob/main/projects/IDOL/demo_idol.py
python projects/IDOL/demo_idol.py --config-file projects/IDOL/configs/coco_pretrain/r50_coco_sequence.yaml --input input.png --output result.png
ModuleNotFoundError: No module named 'MultiScaleDeformableAttention'
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https://github.com/lalalafloat/VNext/blob/main/projects/IDOL/demo_idol.py
python projects/IDOL/demo_idol.py --config-file projects/IDOL/configs/coco_pretrain/r50_coco_sequence.yaml --input input.png --output result.png
Can you sucessfully run demo visualize ??
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https://github.com/lalalafloat/VNext/blob/main/projects/IDOL/demo_idol.py
python projects/IDOL/demo_idol.py --config-file projects/IDOL/configs/coco_pretrain/r50_coco_sequence.yaml --input input.png --output result.png
i try to run on video inference visulize ,but failed.
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I tried to run python projects/IDOL/demo_idol.py but it is not finding the checkpoint. Have you any idea in which folder I have to put the pre-trained model?
Thanks
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Sorry for replying so late. You can go to the folder "projects/IDOL/idol/models/ops", and then execute the following command: bash make.sh. If you compile successfully, and you can fix the bug.
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Yes, i can visualize detection results successfully, what problems or bugs do you met?
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Please continue in this issue:
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@lalalafloat thanks for your suggestions, but I don't understand why I have this kind of output. Thanks for your help.
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@CarlHuangNuc Hello. Have you solved the issue to run this code on video?
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@assia855 have you figured out the problem? I'm experiencing a similar issue
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I've updated the demo_idol.py from lalalafloat to visualize on videos. I've set is_multi_cls to False to match the IDs to the pred_scores.
My forked repo is over here https://github.com/reno77/VNext .
Cmd to infer on videos is : python projects/IDOL/demo_idol.py --config-file projects/IDOL/configs/ovis_swin.yaml --video-input input.mp4 --output output1.mp4
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Related Issues (20)
- model release of coco static image pretraining
- broken link
- is the demo ready? HOT 1
- overlap of classes HOT 2
- IndexError: The shape of the mask [50] at index 0 does not match the shape of the indexed tensor [1] at index 0 HOT 1
- train IDOL question HOT 1
- about inference speed HOT 1
- Missing checkpoint (broken link): YouTube-VIS 2019/SwinL Backbone
- two questions about IDOL
- How to verify HOT 1
- Step 1 training yaml
- ModuleNotFoundError: No module named 'pycocotools.ytvos' HOT 2
- Inference through webcam or rtsp HOT 1
- May I ask why the memory network module can effectively segment rapidly moving objects?
- Is there a workaround for panoptic segmentation and tracking in idol?
- when will you release InstMove? HOT 2
- Difference between ECCV paper and YouTube-VIS challenge HOT 1
- Inference on own dataset frames? HOT 2
- About InsTMove
- Evalution Error in Idol
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