Comments (9)
您好,请问您开始训练的时候不会报找不到target里的图片标签的错误吗?请问您的数据集格式是什么样子的
from efficientteacher.
我在训练好efficient_yolol.pt之后,使用convert_efficient_to_yolov5转换成标准的yolov5l.pt,但在使用yolov5官方的detect.py时,出现了以下bug: Traceback (most recent call last): File "/home/zzz/Desktop/workspace/yolov5/detect.py", line 307, in main(opt) File "/home/zzz/Desktop/workspace/yolov5/detect.py", line 302, in main run(* * vars(opt)) File "/usr/local/anaconda3/envs/***/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 28, in decorate_context return func(*args, * * kwargs) File "/home/zzz/Desktop/workspace/yolov5/detect.py", line 82, in run model = torch.jit.load(w) if 'torchscript' in w else attempt_load(weights, map_location=device) File "/home/zzz/Desktop/workspace/yolov5/models/experimental.py", line 94, in attempt_load ckpt = torch.load(attempt_download(w), map_location=map_location) # load File "/usr/local/anaconda3/envs/yolov5/lib/python3.8/site-packages/torch/serialization.py", line 607, in load return _load(opened_zipfile, map_location, pickle_module, * * pickle_load_args) File "/usr/local/anaconda3/envs/yolov5/lib/python3.8/site-packages/torch/serialization.py", line 882, in _load result = unpickler.load() File "/usr/local/anaconda3/envs/yolov5/lib/python3.8/site-packages/torch/serialization.py", line 875, in find_class return super().find_class(mod_name, name) AttributeError: Can't get attribute 'DetectionModel' on <module 'models.yolo' from '/home/zzz/Desktop/workspace/yolov5/models/yolo.py'>
您好,请问您开始训练的时候不会报找不到target里的图片标签的错误吗?请问您的数据集格式是什么样子的
from efficientteacher.
把您的配置数据的yaml发我看一下。
from efficientteacher.
把您的配置数据的yaml发我看一下。
from efficientteacher.
把您的配置数据的yaml发我看一下。
![]()
![]()
![]()
你把burn_epochs设置成0试试
from efficientteacher.
你的训练指令是什么?
from efficientteacher.
burn_epochs设置0也没有作用你的训练指令是什么?
from efficientteacher.
你的训练指令是什么?
![]()
burn_epochs设置0也没有作用
ssod_hyp的with_gt应该设置成False,你设置成了True,应该是默认你的unlabel数据也是有gt的。
顺便问一句,阿里只给了yolov5l的custom.yaml,你是仿照哪个文件写的yolov5s.yaml的
from efficientteacher.
你的训练指令是什么?
burn_epochs设置0也没有作用
ssod_hyp的with_gt应该设置成False,你设置成了True,应该是默认你的unlabel数据也是有gt的。 顺便问一句,阿里只给了yolov5l的custom.yaml,你是仿照哪个文件写的yolov5s.yaml的
作者工程代码里面的yaml文件很多,按照readme上面的指示我并没有找到对应目录下的yaml文件,不知道是不是作者忘记更新readme了,我是参考这个目录下的yaml写的configs/ssod/custom/yolov5l_custom_ssod.yaml
顺便问一下,你找到了作者readme里面说明的那个yaml文件了吗?
from efficientteacher.
Related Issues (20)
- SSOD training
- 请问有人知道怎么复现的吗?我只能自己运行val.py,train.py要怎么操作? HOT 1
- 训练Cityscapes数据集,精度为0怎么回事
- coco_1p的yaml配置文件中的teacher_loss_weight是3.0吗?
- 私人数据集上的数据集在半监督中的划分 HOT 1
- 关于keypoint检测
- yolov7
- 训练血细胞分割得到的map和p和R一直是0
- 加载全监督训练模型进行半监督训练,检测精度低 HOT 1
- not found lables HOT 1
- 模型剪枝
- problem with !bash get_coco.sh
- 有关efficient teacher项目问题
- tp,fp_loc指标同时过高,且模型始终没有收敛
- 错误
- RuntimeError: result type Float can't be cast to the desired output type long int HOT 2
- 半监督训练的时候报错,错误如下
- 在个人数据集上使用efficientteacher项目,疑似出现过拟合严重的情况。 HOT 1
- covert yolov8 to efficient teacher
- Efficient teacher for yolov7
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 efficientteacher.