Comments (4)
I tested this solution on Wider Face validation dataset for both cases(RGB and BGR) and got next results:
For BGR images(using code from readme file at this repo):
==================== Results ====================
Easy Val AP: 0.5647998370785989
Medium Val AP: 0.5219529625700366
Hard Val AP: 0.2856212575529135
For RGB images(with converting to RGB after image reading):
==================== Results ====================
Easy Val AP: 0.8069582917049369
Medium Val AP: 0.7637617089872778
Hard Val AP: 0.4867522878479363
So, there should be converting to RGB format before processing.
from mtcnn.
@nyck33 For the blue output images, you can change the colormap of the image before cv2.imwrite()
by doing image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
and passing it to cv2.imwrite()
from mtcnn.
@Andriy963 @acnazarejr Great to know, I just posted on StackExchange about this how pyplot.imread()
was giving better results than the cv2.imread()
However, now my output when I cv2.imwrite()
looks very blue.
from mtcnn.
@acnazarejr @Andriy963 @nyck33 @raviam @akofman
Can you please tell me, which script is suitable to get the boundary box details as ".data" format, for my dataset (OULU),
Thanks in advance
from mtcnn.
Related Issues (20)
- How to get face embedding / encoding? HOT 6
- Can i rewrite the structure of Pnet or Rnet on factory.py? or i need retraining them
- Error with tf-nightly-gpu 2.5.0.dev20201207
- How do I install on Ubuntu 18.04?
- Memory leak from mtcnn
- Performance is not what it could be HOT 1
- Please release the newest version to Pypi HOT 1
- cannot import name 'get_config' from 'tensorflow.python.eager.context' HOT 2
- Evaluation Metrics for the default model weights
- AttributeError: module 'keras.utils.generic_utils' has no attribute 'to_snake_case'
- Error in importing
- AttributeError: module 'keras.utils.generic_utils' has no attribute 'populate_dict_with_module_objects'
- Get wrong detected face
- PyTorch : unable to load the dataset HOT 2
- Disable progress bars? HOT 14
- mtcnn: self.thresholds, self.nms_thresholds,self.factor What does it mean? How do I tweak it? HOT 1
- CPU allocation for some of the computational tensors
- process is killed automatically HOT 2
- How to download datasets? HOT 1
- Prevent mtcnn logging HOT 4
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 mtcnn.