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README_TR.md
Nov 20, 2025 - Jose et al. MLST 2025 - Code, Data and Models
Markdown Text - 4.2 KB - MD5: 20d20face9a008611f9d0f5194a1a6e1
SynDataGenerator.py
Nov 20, 2025 - Jose et al. MLST 2025 - Code, Data and Models
Python Source Code - 64.2 KB - MD5: d95b3272410a78a370276ccf9fd13bd6
SynValDataGenerator.py
Nov 20, 2025 - Jose et al. MLST 2025 - Code, Data and Models
Python Source Code - 17.8 KB - MD5: 7143ea88c0658494aced5641264cb76c
train_config_soot_r50.py
Nov 20, 2025 - Jose et al. MLST 2025 - Code, Data and Models
Python Source Code - 5.0 KB - MD5: 18e27367ab1fd5363bf71c8913ad3daa
train_net_main.py
Nov 20, 2025 - Jose et al. MLST 2025 - Code, Data and Models
Python Source Code - 7.5 KB - MD5: 597aec6f6fcd41ee1d08711b95c247c1
validation_soot_piv_5.tar
Nov 20, 2025 - Jose et al. MLST 2025 - Code, Data and Models
TAR Archive - 173.9 MB - MD5: dd715182ded0158dc0de86c2a94aaeed
README.md
Oct 31, 2025 - Code for training and using the soot (instance) segmentation models
Markdown Text - 2.8 KB - MD5: ee22fe0f3e520725023de5dc340abf0c
soot_inference.py
Oct 31, 2025 - Code for training and using the soot (instance) segmentation models
Python Source Code - 2.9 KB - MD5: 6970ec34453420a834c798809b0d402c
train_custom.py
Oct 31, 2025 - Code for training and using the soot (instance) segmentation models
Python Source Code - 7.3 KB - MD5: 906e8fd4b483e150bb3d0a0dce2ece26
BatchPredictor.py
Aug 8, 2025 - Code for training and using the soot (instance) segmentation models
Python Source Code - 1.8 KB - MD5: 76c02db2150bfda97dfc2180a95f32f4
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