ecthros / labelreader Goto Github PK
View Code? Open in Web Editor NEWProgrammatically find and read labels using Machine Learning
Programmatically find and read labels using Machine Learning
I also facing this problem , Any one give a solution
Is fault in cfg file or image labling ??
Originally posted by @Sivabanu in #8 (comment)
when I ran training by this command: ./darknet detector train data/obj.data yolo-obj.cfg darknet53.conv.74 I got this message
`Learning Rate: 0.001, Momentum: 0.9, Decay: 0.0005
Resizing
320 x 320
Wrong annotation: class_id = 2. But class_id should be [from 0 to 1]
Wrong annotation: class_id = 5. But class_id should be [from 0 to 1]
Wrong annotation: class_id = 3. But class_id should be [from 0 to 1]
Wrong annotation: class_id = 1. But class_id should be [from 0 to 1]
Wrong annotation: class_id = 1. But class_id should be [from 0 to 1]
Wrong annotation: class_id = 2. But class_id should be [from 0 to 1]
Wrong annotation: class_id = 4. But class_id should be [from 0 to 1]
Wrong annotation: class_id = 2. But class_id should be [from 0 to 1]
Wrong annotation: class_id = 3. But class_id should be [from 0 to 1]
Wrong annotation: class_id = 3. But class_id should be [from 0 to 1]
Wrong annotation: class_id = 4. But class_id should be [from 0 to 1]
Wrong annotation: class_id = 4. But class_id should be [from 0 to 1]
Wrong annotation: class_id = 4. But class_id should be [from 0 to 1]
Wrong annotation: class_id = 1. But class_id should be [from 0 to 1]
Wrong annotation: class_id = 1. But class_id should be [from 0 to 1]
Wrong annotation: class_id = 3. But class_id should be [from 0 to 1]
and also a bad_label.list file. I annotated data using vott only. Dont know whats going wrong.
Inside bad_label.list file there this lines.
data/obj/pan83.txt Wrong annotation: class_id = 2. But class_id should be [from 0 to 1]
every time I run training I get this error but for different .txt file names in bad_label.list file.
How get rid of this.. I clonned your repo then followed darknet instruction for training to detect custom objects.
Do I need to compile darknet first or just follow instruction for training
I need to integrate YOLO with Tesseract so I have executed .sh file containing this code
echo -e "\n\nDownloading darknet\n\n"
wget https://www.dropbox.com/s/9nxzvyyi53bi4p4/darknet?dl=0
mv darknet?dl=0 darknet
chmod 755 darknet
after that I run python file at that time I am getting below error
[+] Initializing Darknet
[/] Init Classifier failed, exiting now
can you help me to resolve this error
No module named robotidentifier in app.py
I am able to sample images but when I test with other give above error.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.