Statistical analysis of sample values to approximate the final pixel value

Jérôme BUISINE 2a671c77e4 Merge tag 'v0.1.1' into develop		5 年前
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reconstruct	95cba96b9b Use of modules dependency	5 年前
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README.md	ab86ef6206 Documentation and ignore files updates	5 年前
__init__.py	beb4716c41 Add of feature choices	5 年前
compare_images.py	95cba96b9b Use of modules dependency	5 年前
custom_config.py	adf8908549 Update of keras config	5 年前
features.py	95cba96b9b Use of modules dependency	5 年前
generate_data.sh	cccee3b412 Update of Keras scripts	5 年前
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Sample Analysis

Description

The aim of this project is to predict the mean pixel value from monte carlo process rendering in synthesis images using only few samples information in input for model.

Data

Data are all scenes samples information obtained during the rendering process.

For each pixel we have a list of all grey value estimated (samples).

Models

List of models tested :

Ridge Regression
SGD
SVR (with rbf kernel)

How to use

First you need to contact jerome.buisine@univ-littoral.fr in order to get datatset version. The dataset is not available with this source code.

python make_dataset.py --n 10 --each_row 8 --each_column 8

python reconstruct.py --scene Scene1 --model_path saved_models/Model1.joblib --n 10 --image_name output.png

License

The MIT license

README.md