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yolov5prune
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估计是裁剪完的网络通道数不是2^n,导致再GPU上并行加速效果下降,推理时间就增加了。CPU上应该会有速度提升。
#147
f1shihang
opened
1 month ago
1
剪枝完之后在GPU上的推理速度反倒比剪枝前的模型更慢
#146
f1shihang
opened
1 month ago
0
gamma, bias distribution
#145
yjseok
opened
2 months ago
0
Can't get attribute 'ModelPruned' on <module 'models.yolo'
#144
xinshouxiaojie
opened
3 months ago
0
博主麻烦看看这个问题 进行prune.py 出现KeyError: 'model.0.bn'问题
#143
WechangingK
opened
4 months ago
0
剪枝出现Scanning 'E:\task\experiment\dataset\BITVehicle\BITVehicle\val.cache' images and labels... 0 found, 985 missing, 0 empty, 0 corrupted
#142
xhdypy
opened
4 months ago
1
稀疏因子最高只能设为0.1,再高一点剪枝最大比例反而会降低是怎么回事
#141
zy1996829
opened
7 months ago
0
IndexError: too many indices for tensor of dimension 3
#140
zhihuiZ
closed
7 months ago
0
tensorboard中的histogram图表中的数据如何导出呢
#139
hkebbb
opened
7 months ago
0
更换主干网络再经行稀疏化训练后,值变成了nan
#138
maolinLiu666
opened
8 months ago
0
运行预测脚本的时候报错了 显示yolo脚本没有DetectionModel这个属性
#137
Zha-Miku
opened
9 months ago
0
v7.0版本能用吗?
#134
Doris-miao
opened
11 months ago
4
关于train.py训练后tensorboard中没有bn_weights/hist直方图
#133
gyf0951
opened
1 year ago
1
已经充分稀疏的情况下,剪枝率只能设置到0.1
#132
laoyu-jidianle
opened
1 year ago
0
使用train_sparsity.py出现的错误-
#131
liujialong2019
opened
1 year ago
1
训练自己的算法
#130
opencvlearn
opened
1 year ago
0
RuntimeError: mat1 and mat2 shapes cannot be multiplied
#129
DiaJB
opened
1 year ago
1
计算量
#128
jjam7
opened
1 year ago
1
prune.py脚本运行报错 too many indices for tensor demension 3
#127
bigFatCatTom
closed
1 year ago
1
我想请教下稀疏训练的稀疏效果一直不好是怎么回事,我甚至把sr开到了10
#126
fangxuehouwuming
closed
1 year ago
2
6.0版本稀疏训练train_sparity.py 报错TypeError: on_fit_epoch_end() takes 5 positional arguments but 6 were given
#125
fangxuehouwuming
opened
1 year ago
2
TypeError: on_fit_epoch_end() missing 1 required positional argument: 'fi'
#124
fangxuehouwuming
opened
1 year ago
0
在进行稀疏化的时候遇到报错
#123
chbw818
opened
1 year ago
2
step后权值没有更新
#122
1437513221
closed
1 year ago
1
正常训练显示时显示TypeError: on_fit_epoch_end() missing 1 required positional argument: 'fi'
#121
Best-effort
opened
1 year ago
2
稀疏训练掉点严重
#120
aexchange
opened
1 year ago
0
bn_weight/hist未出现
#119
Wisdom2wisdom
opened
1 year ago
1
一堆问题,都没法运行,有没有一个完整的版本
#118
lianwencong
closed
1 year ago
1
第一种方法剪枝后精度下降为0,微调后上升的问题
#117
YHLymj
opened
1 year ago
2
对yolov5x训练出来的模型使用conv+bn剪枝报错
#116
Tristesse-stk
opened
1 year ago
0
conv剪枝 percent超过10%就报错
#115
Tristesse-stk
opened
1 year ago
1
TensorRT 显存没有减少
#114
Tristesse-stk
opened
1 year ago
1
ModuleNotFoundError No module named 'tensorboard'
#113
Tristesse-stk
opened
1 year ago
1
想问一个关于剪枝参数设置问题
#112
puyiwen
opened
1 year ago
0
你好,我想对yolov5s上训练的模型进行稀疏训练,提示缺少DetectionModel
#111
zy597337447
closed
1 year ago
2
剪枝问题
#110
lsyss-lsyss
opened
1 year ago
3
python finetune_pruned.py --weights runs/test/exp16/pruned_model.pt --adam --epochs 100 --cfg models/yolov5m.yaml --data data/struct.yaml --device 0,1,2,3 一直卡着
#109
RomanticWithoutStatus
opened
2 years ago
2
prune.py的时候报错, 'Upsample' object has no attribute 'recompute_scale_factor',请问如何解决
#108
RomanticWithoutStatus
closed
2 years ago
0
C3Pruned参数问题
#107
bingo789
opened
2 years ago
0
v6.0的蒸馏会更新吗
#106
yazheng0307
opened
2 years ago
1
请问代码支持yolo5m6、l6模型的剪枝吗
#105
yazheng0307
opened
2 years ago
4
baseline的map
#104
zhyj3038
opened
2 years ago
1
ValueError: not enough values to unpack (expected 4, got 1)
#103
SunYiLing123
opened
2 years ago
0
tensorrt加速
#102
mvpzhangqiu
opened
2 years ago
1
KeyError: 'model.1.bn'
#101
qiaoyukeji
opened
2 years ago
12
按照剪枝方法一步骤,执行剪枝这一步的时候,报错误 Given groups=1, expected weight to be at least 1 at dimension 0, but got weight of size [0, 92, 1, 1] instead
#100
lw-2017
opened
2 years ago
1
关于二次剪枝的问题,一次剪枝的模型配置文件prunedmodel.yaml文件有生成嘛?还是需要自己对照着改呢?
#99
rainbow-calf
opened
2 years ago
3
请问怎么将剪枝后的模型参数保存问yaml文件呢?
#98
Lathour
closed
2 years ago
0
剪枝 python prune.py --percent 0.5 --weights runs/train/exp2/weights/last.pt --data data/voc.yaml --cfg models/yolov5s.yaml出现错误:TypeError: run() got an unexpected keyword argument 'cfg'
#97
YTTT9
opened
2 years ago
2
关于训练报错的问题 TypeError: on_fit_epoch_end() missing 1 required positional argument: 'fi'
#96
ASguoyue
opened
2 years ago
9
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