Comments (6)
Sorry, we only provide the label data at present. We may provide the generation code in the future. Welcome to continue to pay attention to our project!
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I was able to make the following inferences without using YOLOP. You don't need to use YOLOP as it is not a good repository.
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@santhanakrishnan26
I'm sorry to reply late. For the above segmentation, I use MaskFormer. The Object Detection below is the result using YOLOX. BBD100K's COCO format conversion and visualization are included in the Maskformer-BDD100K repository. Maskformer is an old method, so I think it's easier to use mmdetection now. Please check it.
from yolop.
Any update about this?
from yolop.
Any update?
from yolop.
I was able to make the following inferences without using YOLOP. You don't need to use YOLOP as it is not a good repository.
What did you used ?
from yolop.
Related Issues (20)
- Can I run on RTX 4070 ? HOT 8
- How to view image result in opencv HOT 1
- 单独训练车道线检测的话,需要如何修改代码呢 HOT 1
- How do I need to change the code to train only lane detection?
- Bug: Input is in RGB format, but augment_hsv() assumes BGR format
- Hardware question HOT 1
- Training error HOT 4
- Bug: Setting TRAIN.DET_ONLY to True updates encoder as well
- how to train the single task?
- multi task training discuss
- train 3 tasks but detection result are very bad
- bdd 100k labels
- 请问common的detect部分怎么改才有五个output #3
- How train it for single detection task on custom dataset in pascalvoc format
- Is `demo.py` supposed to work with *ONNX* models ?
- how to add cutout() in AutoDriveDataset.py ?
- 训练时随着epoch的增加,占用的内存越来越多,直到报错
- images HOT 3
- I want to detect objects of different categories
- Training error
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