Megvii-BaseDetection / Megvii-BaseDetection/YOLOX
one class has only one objects??why??
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- Dominant language
- Python
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Description
for (int class_idx = 0; class_idx < num_class; class_idx++)
{
float box_cls_score = feat_ptr[5 + class_idx];
float box_prob = box_objectness * box_cls_score;
if (box_prob > prob_threshold)
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
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- Open a pull request that references the issue number.
Research direction
Start by locating the post-processing code containing the shown class_idx loop and inspect how num_class, feat_ptr, box_objectness, and prob_threshold are populated. Compare the configured class count with the model output and document or confirm the cause of the single-class result; the issue provides no named file or test.
Written by the indexing model from the issue text.
Assessment
- Domain
- computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100