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I've installed on MacOS with Apple M3 Pro and 18GB of memory:
Matlab R2024b
Python 3.10.15
A virtual env with the requirements for HySUPP
When I launch the example command ! python unmixing.py data=DC2 model=SUnAA SNR=30 python crash. I have tested also with other models and params. Here the output:
/usr/local/Cellar/[email protected]/3.10.15/Frameworks/Python.framework/Versions/3.10/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 1 leaked semaphore objects to clean up at shutdown
warnings.warn('resource_tracker: There appear to be %d '
Do you have any advice?
The text was updated successfully, but these errors were encountered:
Hi,
I've installed on MacOS with Apple M3 Pro and 18GB of memory:
When I launch the example command
! python unmixing.py data=DC2 model=SUnAA SNR=30
python crash. I have tested also with other models and params. Here the output:! python unmixing.py data=DC2 model=SUnAA SNR=30
05-Nov-24 19:53:02 - main - [DEBUG] - Config:
DATA_dir: ./data/
FIGS_dir: ./figs/
MATLAB_root: /home/clear/azouaoui/code/matlab/
SNR: 30
data:
data_dir: ./data/
dataset: DC2
figs_dir: ./figs/
name: src.data.base.HSIWithGT
extractor:
name: src.model.extractors.VCA
force_align: false
formatters:
simple:
datefmt: '%d-%b-%y %H:%M:%S'
format: '%(asctime)s - %(name)s - [%(levelname)s] - %(message)s'
handlers:
console:
class: logging.StreamHandler
formatter: simple
level: DEBUG
stream: ext://sys.stdout
l2_normalization: false
loggers:
sampleLogger:
handlers:
- console
level: DEBUG
propagate: true
mode: semi
model:
T: 500
low_rank: false
mode: semi
name: src.model.semisupervised.SUnAA
noise:
SNR: 30
name: src.data.noise.AdditiveWhiteGaussianNoise
projection: false
root:
handlers:
level: DEBUG
seed: 0
version: 1
05-Nov-24 19:53:02 - main - [INFO] - Unmixing mode: SEMI
05-Nov-24 19:53:02 - matplotlib - [DEBUG] - matplotlib data path: /Users/mattiarigiroli/phd-engine/HySUPP/venv/lib/python3.10/site-packages/matplotlib/mpl-data
05-Nov-24 19:53:02 - matplotlib - [DEBUG] - CONFIGDIR=/Users/mattiarigiroli/.matplotlib
05-Nov-24 19:53:02 - matplotlib - [DEBUG] - interactive is False
05-Nov-24 19:53:02 - matplotlib - [DEBUG] - platform is darwin
05-Nov-24 19:53:02 - matplotlib - [DEBUG] - CACHEDIR=/Users/mattiarigiroli/.matplotlib
05-Nov-24 19:53:02 - matplotlib.font_manager - [DEBUG] - Using fontManager instance from /Users/mattiarigiroli/.matplotlib/fontlist-v330.json
05-Nov-24 19:53:02 - src.semisupervised - [INFO] - Semi-Supervised Unmixing - [START]...
05-Nov-24 19:53:02 - src.data.base - [DEBUG] - Path to be opened: ./data/DC2.mat
05-Nov-24 19:53:02 - src.data.base - [DEBUG] - Data keys: dict_keys(['header', 'version', 'globals', 'Y', 'E', 'A', 'D', 'H', 'W', 'p', 'L', 'M', 'N', 'index'])
05-Nov-24 19:53:02 - src.semisupervised - [INFO] - HSI => DC2
224 bands,
100 lines, 100 samples (10000 pixels),
9 endmembers (['#0', '#1', '#2', '#3', '#4', '#5', '#6', '#7', '#8']),
240 atoms
GlobalMinValue: 0.02272115275293592, GlobalMaxValue: 0.9662235319076795
05-Nov-24 19:53:02 - src.data.noise - [DEBUG] - Y shape => (224, 10000)
05-Nov-24 19:53:02 - src.data.noise - [INFO] - Desired SNR => 30
05-Nov-24 19:53:02 - src.data.noise - [DEBUG] - Sigmas after normalization: 0.0668153104781061
05-Nov-24 19:53:02 - src.data.noise - [DEBUG] - Sigma mean based on SNR: 0.3221919872184824
05-Nov-24 19:53:02 - src.data.noise - [DEBUG] - Final sigmas value: 0.021527357659560896
05-Nov-24 19:53:05 - src.model.semisupervised.SUnAA - [INFO] - Initial loss => 78366.76
0%| | 0/500 [00:00<?, ?it/s][1] 19388 segmentation fault python unmixing.py data=DC2 model=SUnAA SNR=30
/usr/local/Cellar/[email protected]/3.10.15/Frameworks/Python.framework/Versions/3.10/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 1 leaked semaphore objects to clean up at shutdown
warnings.warn('resource_tracker: There appear to be %d '
Do you have any advice?
The text was updated successfully, but these errors were encountered: