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Syencil
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mobile-yolov5-pruning-distillation
mobilev2-yolov5s剪枝、蒸馏,支持ncnn,tensorRT部署。ultra-light but better performence!
MIT License
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AttributeError: 'Model' object has no attribute 'names'
#82
YongpeiZhu
opened
1 year ago
0
'python3 train.py --type vocl' meet the error
#81
ResidualNS
opened
1 year ago
0
蒸馏代码问题
#80
ftl123456789
opened
1 year ago
0
蒸馏模块无法跑起来
#79
nayenizhenmei
opened
1 year ago
2
关于train后识别不到任何结果
#78
yakexi-cmd
closed
1 year ago
0
model文件夹中yaml文件
#77
zy597337447
opened
1 year ago
0
Update LICENSE
#76
victor30608
opened
1 year ago
0
feature蒸馏的一些疑惑
#75
xxxwuwq
closed
2 years ago
0
no fuse
#74
gy-zkj
opened
2 years ago
0
求助帖
#73
DoAlone
opened
2 years ago
3
旋转框蒸馏
#72
xing-bing
closed
2 years ago
6
蒸馏后Student Model的准确率下降
#71
WenzhiShao
opened
2 years ago
1
请问如何配置apex进行混合多精度加速训练
#70
mengxiangqiqin
opened
2 years ago
0
作者你好,请问剪枝过程是参考的哪篇论文
#69
leiqing110
closed
2 years ago
0
大佬好,ignore_idx 是不是写错了
#68
Veal98
closed
2 years ago
1
before_pruning.jpg和after_pruning.jpg
#67
yuzhixiaobo
closed
2 years ago
0
关于TA策略与d_online
#66
StrongerzZ
opened
2 years ago
1
大佬好,注意到 yolo head 和原版的有所不同,想问下具体做了哪些改变
#65
Veal98
closed
2 years ago
4
AttributeError: Can't get attribute 'ModelPruned' on <module 'models.yolo' from 'models\\yolo.py'>
#64
hzc5095
opened
2 years ago
0
模型剪枝之后,参数减少很多,但是模型推理速度并没有明显区别
#63
Ylifei
opened
2 years ago
0
稀疏训练时遇到一些问题
#62
yezechen
opened
2 years ago
1
大佬好,求教小白如何顺利运行,感觉缺失了一些数据文件
#61
Veal98
closed
2 years ago
1
pytorch版本
#60
Xingxu1996
opened
3 years ago
0
mAP值一直不变,从一开始就是接近0
#59
wxz1996
opened
3 years ago
4
关于mobile-yolov5s的mAP
#58
EEEricLiu
opened
3 years ago
2
权重问题
#57
1012207826
opened
3 years ago
0
mobilenet的预训练权重
#56
jzh-Joshua
closed
3 years ago
1
How to fix this problem 'Detect'object has no attribute 'm'
#55
Niki173
opened
3 years ago
0
Mobilev2-Yolov5 的throughput
#54
EEEricLiu
opened
3 years ago
1
请问bn参数分布图如何绘制
#53
qq302639209
opened
3 years ago
0
权重文件不能下载
#52
MoXQian
opened
3 years ago
3
使用python3 train.py --type mvocs训练出来的pt模型是20.7M,这正常吗?我看baseline的参数量是3.60 Params(M),这是为什么呢
#51
tommy3266
opened
3 years ago
2
、
#50
chengzi999
closed
3 years ago
0
1
#49
zack2020-star
closed
3 years ago
0
请问稀疏参数的选取有什么原则吗?
#48
15050188022
opened
3 years ago
0
可以私聊点问题吗
#47
neasfss
opened
3 years ago
1
这个可以扩展至5x吧?
#46
Bobby-youngking
opened
3 years ago
0
关于teacher model预训练权重
#45
Sharpiless
opened
3 years ago
1
遇到了点问题
#44
Lihong1997
opened
3 years ago
0
蒸馏
#43
yyyooohao
opened
3 years ago
4
'Got {}, but numpy array, torch tensor, or caffe2 blob name are expected.'.format(type(x))) NotImplementedError: Got <class 'NoneType'>, but numpy array, torch tensor, or caffe2 blob name are expected.
#42
ahhhxxx
opened
3 years ago
2
RuntimeError: shape '[1, 3, 85, 80, 64]' is invalid for input of size 655360
#41
ahhhxxx
opened
3 years ago
3
关于finetune
#40
15050188022
opened
3 years ago
2
策略
#39
yyyooohao
closed
3 years ago
0
常见的一些问题汇总
#38
Syencil
opened
3 years ago
3
关于剪枝蒸馏的策略
#37
15050188022
closed
3 years ago
2
请问一下,使用预训练的yolov5s在coco上做基础训练,验证集的map非常接近于0,问题大概出在什么地方?
#36
August0424
closed
3 years ago
2
剪枝之后的模型也可以通过onnx转换和通过ncnn部署吗?
#35
zineos
closed
3 years ago
1
蒸馏时Precision下降太多的问题
#34
CangHaiQingYue
closed
3 years ago
2
L1 稀疏化训练细节
#33
xuanyuyt
closed
3 years ago
0
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