Comments (2)
ShiLongCheng
commented on May 26, 2024
我明白了。在tracker.py里面这样改就行了。^-^
# box = (self.pos[0] - self.target_sz[0]/2 + 1, # xmin convert to 1-based
# self.pos[1] - self.target_sz[1]/2 + 1, # ymin
# self.pos[0] + self.target_sz[0]/2 + 1, # xmax
# self.pos[1] + self.target_sz[1]/2 + 1) # ymax
#x,y,w,h # top-left w,h
box=np.array([
self.pos[0] + 1 - (self.target_sz[0]) / 2,
self.pos[1] + 1 - (self.target_sz[1]) / 2,
self.target_sz[0], self.target_sz[1]])from siamtrackers.
HonglinChu
commented on May 26, 2024
解决了就好，前几天回老家了，没有网络。 SiamFC-VID效果不好，建议直接看SiamFC-GOT版本，另外，我早期提供的SiamFC的GOT版本在OTB，VOT16和VOT18的效果都和matlab版本的siamfc比较接近。目前我github上的SiamFC-GOT只是在OTB上效果最好，但是在VOT上效果一般。 建议你再自己重新训练一下siamfc，训练的时候注意设置batch=8，使用单GPU训练，否则训练效果会很差
…------------------ 原始邮件 ------------------
发件人: "HonglinChu/SiamTrackers" <[email protected]>;
发送时间: 2020年12月4日(星期五) 下午4:04
收件人: "HonglinChu/SiamTrackers"<[email protected]>;
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主题: Re: [HonglinChu/SiamTrackers] SiamFC-VID问题 (#21)
我明白了。在tracker.py里面这样改就行了。^-^
`# box = (self.pos[0] - self.target_sz[0]/2 + 1, # xmin convert to 1-based
# self.pos[1] - self.target_sz[1]/2 + 1, # ymin
# self.pos[0] + self.target_sz[0]/2 + 1, # xmax
# self.pos[1] + self.target_sz[1]/2 + 1) # ymax
#x,y,w,h # top-left w,h
box=np.array([ self.pos[0] + 1 - (self.target_sz[0]) / 2, self.pos[1] + 1 - (self.target_sz[1]) / 2, self.target_sz[0], self.target_sz[1]])`
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Related Issues (20)
- NanoTrack train on custom dataset HOT 1
- NanoTrack自定义数据集相关问题 HOT 2
- YTB&VID 数据好像失效了，麻烦能更新一下数据集吗 HOT 1
- onnx HOT 1
- Cant train good! HOT 2
- VOT2018.json在哪里啊
- Readme里面的数据，为啥和我在论文中看到的不一致 HOT 4
- LaSOT 训练 HOT 1
- siamCAR训练GOT报错
- 针对SiamCAR训练GOT的问题
- NanoTrack quick question HOT 1
- 直接测试demo.py时就报错该改哪里呢？
- demo测试出错 HOT 4
- SiamFCpp-pysot模型 HOT 1
- siamCAR中的model网盘链接失效了 HOT 2
- 您好，跟踪的目标最终得到的分数不可以反应物体是否跟踪正确，请问score的意义在哪？
- NanotrackV2和V3重新训练后跟踪框不稳定，漂移 HOT 1
- 有没有裁剪Lasot的代码，博主？
- Pretrained model of Updatenet Resnet256
- 关于Siamese tracker的搜参 HOT 1
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