Comments (3)
Hello kevin,
thank you very much for your answer. I thought that detection is already implemented.
That means I have to use a detector (e.g. Yolo) before I use the inference script.
from meshtransformer.
Our model will not work well if the target is not at the center of the input image. It is very sensitive to shifting.
from meshtransformer.
In this research topic, people generally normalize the reconstruction target at the center of the input image using bounding box (either from GT, object detector, or pose estimation). It is used for both training and testing.
If your testing images are not normalized as we did in training, our model may not work well.
from meshtransformer.
Related Issues (20)
- This repo is missing important files
- How to visualize attention correlation as the paper
- Training on single dataset HOT 1
- Output Score / Confidence
- Project dependencies may have API risk issues
- Cannot render my hand by my photo HOT 1
- About the template vertices and joints
- Question about training with hand dataset? HOT 1
- Can't download 'https://datarelease.blob.core.windows.net/metro/datasets/filename.tar'
- pre-trained models!ERROR 400: Bad Request.
- Demo Lack of three-digit reconstruction effect,缺少三位重建 HOT 1
- COCO SMPL Data Missing
- About DDP train on the specified gpu
- It is stopped in 2023-10-31 16:00:44,169 METRO Inference INFO: Using 1 GPUs
- Exception: Unable to get url: http://files.is.tue.mpg.de/mloper/opendr/osmesa/OSMesa.Linux.aarch64.zip HOT 1
- Question about the learning rate adjustment strategy
- Question about weight decay setting
- Pre-trained model licensing
- How to do single-player multi-card training? HOT 1
- Apex version incompatible HOT 2
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from meshtransformer.