Comments (3)
liaoyunkun
commented on August 17, 2024
剪枝后的map会下降特别大，从0.4->0.005，只剪枝了20%，有人遇到过吗？
from yolov3-network-slimming.
yyx1107
commented on August 17, 2024
@liaoyunkun 你是按他说的稀疏化训练然后剪枝的吗，你可以再训练一下，提升精度。 我之前在别的上面也剪过一次，边剪边训练map会变好一些，但是没达到之前的精度（你也是做剪枝吗，可以加我交流一下下∩_∩1017176539
from yolov3-network-slimming.
PearlDzzz
commented on August 17, 2024
@talebolano @yyx1107
我用自己的数据集 训练yolov3模型, 普通训练100epoch的MAP能达到0.9.
利用sparse_train.py训练yolov3模型, 100epoch的MAP只有0.2.
指令: python sparsity_train.py -sr --s 0.0001
alpha用的 是默认值1.
0-20%:0.000020, 20-40%:0.000123, 40-60%:0.008983, 60-80%: 0.032746, 80-100%:0.540597
from yolov3-network-slimming.
Related Issues (20)
- 稀疏化训练时出现这个错，没明白原因。希望大佬给点建议RuntimeError: cannot perform reduction function max HOT 10
- 稀疏化训练过程中，电脑重启！！！有遇到类似问题的么 求解决方案
- About multi GPUs used
- 关于在yolov2上使用的问题？
- 尝试多GPU训练后loss上涨
- 稀疏训练指标异常 HOT 1
- 关于稀疏化训练基础网络的问题 HOT 1
- 关于donntprune的一个疑问
- 稀疏化训练速度非常缓慢
- 运行出错python sparsity_train.py -sr --s 0.0001 --image_folder obj.data --cfg yolov3.cfg --weights yolov3.weights
- 稀疏化训练异常：打印出的数据 w和 h从某刻开始变得异常大 HOT 1
- train过程中w和h变得很大
- 稀疏训练自己的网络
- 关于训练问题
- 测试demo
- 稀疏训练 tensor not match
- 剪枝之后的模型预测不出来任何东西 HOT 2
- yolov3-VOC
- x, losses = self.module_list[i][0](x, targets) HOT 1
- Your pruned weights are not working.
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from yolov3-network-slimming.