Comments (3)
Hi, first of all. Thank you for sharing your excellent work. I tried to modify a code to train a multi classes detection. In this line. Does it allow to change to my own multi classes??? thank you. bboxes_labels_original = ['Glue tube' for _ in bboxes_original]
Hi, did you find the way to solve this problem? I have an idea to solve two problems (object classification and keypoint detection) by two different algorithms,. But of course one would be better ;)
from keypoint_rcnn_training_pytorch.
if you use two algorithms, the time would be influenced.
from keypoint_rcnn_training_pytorch.
Of course, but it's my task to use neural network for classification and localization with orientation (I want to use keypoint detection for this). Even if it cause longer time.
The best option would be one algorithm but I can't find solution for this.
from keypoint_rcnn_training_pytorch.
Related Issues (19)
- labeling tool HOT 2
- How to load the Custom Trained Model for Inference on new Image set
- Can the annotations include "keypoints" without "bboxes"?
- How do I get `evaluate()` to work? HOT 2
- Name of annotation format and/or converter to COCO?
- Training on dataset which also contain images without annotations gives error.
- Licence Addition Request HOT 1
- Results do not correspond to current coco set HOT 1
- .pth to .pt torch script conversion support of your model in mobile applications
- AttributeError: module 'albumentations' has no attribute 'Sequentials' HOT 7
- Inference speed of the model is slow
- How to train my own dataset? HOT 11
- Training on custom dataset HOT 3
- Which label tool i have to use for custom dataset preparation ? HOT 1
- I met this error when train with this code. HOT 1
- I met a error when train with this code.
- training error HOT 4
- glue_tubes_keypoints_dataset_134imgs annotations json file HOT 1
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from keypoint_rcnn_training_pytorch.