Comments (10)
感觉有点像没有加载对labels文件,所以没法去计算loss,你可以看看有没有加载到对应图片的labels文件
from yolov3-network-slimming.
@leJson 你是在Pascal Voc上跑这个吗?
from yolov3-network-slimming.
@leJson 你是在Pascal Voc上跑这个吗?
我跑的自己的数据,
from yolov3-network-slimming.
result = self.forward(*input, **kwargs)
File "/ext_data/anaconda3_before/envs/yolo/yolov3-network-slimming/yolomodel.py", line 130, in forward
loss_cls = (1 / nB) * self.ce_loss(pred_cls[mask], torch.argmax(tcls[mask], 1))
RuntimeError: cannot perform reduction function max on tensor with no elements because the operation does not have an identity
The same error happen, the original use coco dataset, run in ubuntu 16.04
have you already solve the issue?@caesar-yabo
from yolov3-network-slimming.
result = self.forward(*input, **kwargs)
File "/ext_data/anaconda3_before/envs/yolo/yolov3-network-slimming/yolomodel.py", line 130, in forward
loss_cls = (1 / nB) * self.ce_loss(pred_cls[mask], torch.argmax(tcls[mask], 1))
RuntimeError: cannot perform reduction function max on tensor with no elements because the operation does not have an identityThe same error happen, the original use coco dataset, run in ubuntu 16.04
have you already solve the issue?@caesar-yabo
楼上有答案的,你仔细看看,是不是加载图像的时候路径错了.这个报错一般是没加载到数据
from yolov3-network-slimming.
@leJson Thanks a lot, I solve the issue, the key point is put folder "images" and "label" at the same folder. The folder path as below:
This make clear how to solver the label issue.
.
├── 5k.part
├── 5k.txt
├── images
│ ├── train2014
│ ├── val2014
├── labels
│ ├── train2014
│ └── val2014
from yolov3-network-slimming.
@leJson Thanks a lot, I solve the issue, the key point is put folder "images" and "label" at the same folder. The folder path as below:
This make clear how to solver the label issue..
├── 5k.part
├── 5k.txt
├── images
│ ├── train2014
│ ├── val2014
├── labels
│ ├── train2014
│ └── val2014
Can you show us the VOC data? thanks
from yolov3-network-slimming.
I was doing the task for test coco, not VOC right now, after check this, I will these test later. As I get the information, the key point to deal with VOC data is you need to change the parse_config.py. In the code, you need to change "images" to "JPEGImages"
line 41 : (self.label_files = [path.replace('JPEGImages', 'labels').replace('.png', ........)
if this is not working, modify utils/datasets.py,‘images’ to ‘’JPEGImages is suggetion.
I don't test yet, but the information you can have a try.
from yolov3-network-slimming.
I have ignored parse_config.py ,thanks for your information
from yolov3-network-slimming.
I was doing the task for test coco, not VOC right now, after check this, I will these test later. As I get the information, the key point to deal with VOC data is you need to change the parse_config.py. In the code, you need to change "images" to "JPEGImages"
line 41 : (self.label_files = [path.replace('JPEGImages', 'labels').replace('.png', ........)
if this is not working, modify utils/datasets.py,‘images’ to ‘’JPEGImages is suggetion.
I don't test yet, but the information you can have a try.
Thanks for your information!I have solved the problem!The labels data is not loaded in!you should check your parse_config.py to see if it has loaded your labels。
from yolov3-network-slimming.
Related Issues (20)
- 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.