Comments (7)
yousongzhu
commented on June 15, 2024
6
yes, just update the yaml to version 3.12 will solve the problem.
PyYAML-3.12: http://pyyaml.org/download/pyyaml/PyYAML-3.12.zip.
unzip PyYAML-3.12.zip
cd PyYAML-3.12
python setup.py install
from detectron.
ir413
commented on June 15, 2024
Hi @gaopeng-eugene, which versions of numpy and yaml are you using? We recommend using numpy version 1.13 and yaml version 3.12.
from detectron.
rbgirshick
commented on June 15, 2024
Thanks @ir413 and thanks for confirming @tshizys.
from detectron.
sararojas
commented on June 15, 2024
I have the same problem but I have yaml with 3.12 version and numpy with 1.14 version, so I suppose that I install numpy 1.13? Thanks.
from detectron.
bipulneupane
commented on June 15, 2024
Hi! I have the same problem.
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
I have installed numpy 1.13 and pyyaml 3.12 in my conda environment. It still shows the same error even if the version of numpy and pyyaml has been changed.
Is there any other ways to solve this value error?
from detectron.
ChongZhangZC
commented on June 15, 2024
@sararojas I have the same problem and use numpy1.14. Did you solve the problem?
Thanks a lot!
from detectron.
sararojas
commented on June 15, 2024
yes, but I realized that the problem wasn't numpy, the real issue always was yaml... basically, detectron never could find yaml with the last version... at the end, I decided use a docker... but at this moment I'm using detectron with pytorch. it's easy and I recommended you!!!
On Jul 27, 2018 10:56 PM, Chong Zhang <[email protected]> wrote:
@sararojas<https://github.com/sararojas> I have the same problem and use numpy1.14. Did you solve the problem?
Thanks a lot!
—
You are receiving this because you were mentioned.
Reply to this email directly, view it on GitHub<#23 (comment)>, or mute the thread<https://github.com/notifications/unsubscribe-auth/ALAsojOHtkqvJsRKssyanyVJDuX6JZcgks5uK_z8gaJpZM4RrFEq>.
from detectron.
Related Issues (20)
- the speed is slow
- 关于bbox损失函数部分，其中mask rcnn的λ权重平衡参数在哪啊 配置和代码里没看见啊。。。 HOT 1
- Detectron2 In-Place One-to-Many Augmentations HOT 2
- KeyError: u'Key TEST.SCALES was renamed to TEST.SCALE; please update your config. Note: Also convert from a tuple, e.g. (600, ), to a integer, e.g. 600.'
- libcaffe2_detectron_ops_gpu.so运行慢
- n/a
- How can I disable the logging system? HOT 1
- How to train Faster R-CNN on my own custom dataset? HOT 4
- Is there any script for batch inference?
- Detectron or Detection? HOT 1
- Project dependencies may have API risk issues
- Caffe 2 merged with pytorch new installation instruction?
- Convert Cityscapes to COCO format: How to convert to other classes (ex: traffic light) HOT 1
- detectron implantación inparcial,solicitud de inplantacion HOT 2
- Mask-RCNN model not properly generating segmentation masks for a specific class- custom dataset
- App etiquette HOT 2
- problem with adaptive streaming HOT 3
- why is threshold of detector confidence is 0.05, not 0.5? Helps, bros
- Really?
- Precision and recall (not AP not AR) values per class
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 detectron.