Comments (5)
Yeah, you can change model.py to use SOTA reid models.
from deep_sort_pytorch.
Does it mean that it uses only standard softmax function ?
from deep_sort_pytorch.
deep sort中位置的更新就是kalman滤波去做;
提取的cnn特征仅用于已跟踪的目标的cnn特征
与新检测的目标的cnn特征之间计算效率矩阵;
效率矩阵用于确定检测与已跟踪之间的匹配问题
(通过匈牙利算法),得到maches、unmatch_tracks、unmatch_dets分别做不同的跟踪处理,如初始化新跟踪器,update位置、mark_miss。
是这么个过程吧。
from deep_sort_pytorch.
Does it mean that it uses only standard softmax function ?
I looked at the code and found that the cosine metric learning is not supported.
from deep_sort_pytorch.
Does it mean that it uses only standard softmax function ?
I looked at the code and found that the cosine metric learning is not supported.
Yes, it only uses standard softmax function here, no cosine metric learning.
Pull requests is welcomed for improvement.
from deep_sort_pytorch.
Related Issues (20)
- Can not detect with my own trained weights HOT 1
- cv2.imshow freezes using deep_sort HOT 1
- About the indicator of reid model in evaluate.py
- Deepsort Training
- How to disable fastreid and mmdet? HOT 4
- A not aligned error when calculating the _cosine_distance
- Why here do you delete a convolutional layer?
- reid模型从torch转为onnx,精度损失。
- softmax vs cosine softmax ? HOT 1
- Error while compiling NMS module. Please help! HOT 1
- deep_sort/sort/tracker.py函数疑惑
- 如果需要训练自己的数据集,我该如何重新训练reID部分。我的YOLO目标检测部分已经训练好了。 HOT 2
- What is the threshold range of cosine similarity of reid feature?
- deep_sort/deep/feature_extractor.py Extractor net.eval()
- Does it support oriented bounding boxes' tracking?
- How to replace the detector?
- How to exchange Mask R-CNN from YOLOv3
- pip install -r requirements.txt have error.plz help! HOT 3
- little question about resnet.py
- Id number changed
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from deep_sort_pytorch.