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4,191 to 4,200 of 4,319 Results
seg_images_traing.tab
Apr 6, 2020 - Thermal Image Guided Upsampling
Tabular Data - 182.1 KB - 2 Variables, 2869 Observations - UNF:6:IuGM51Q8N4QLGePoc6I4EA==
sobel_operator.py
Apr 6, 2020 - Thermal Image Guided Upsampling
Python Source Code - 1.0 KB - MD5: 73db26d1c421ce107990b7b7a9391012
ssim.py
Apr 6, 2020 - Thermal Image Guided Upsampling
Python Source Code - 4.4 KB - MD5: 6715e39e5c622a292a4eb550bc0bfb7c
training.py
Apr 6, 2020 - Thermal Image Guided Upsampling
Python Source Code - 9.7 KB - MD5: 6f96ae056ec14e0a731ea71c1de6efc1
training_v1.py
Apr 6, 2020 - Thermal Image Guided Upsampling
Python Source Code - 9.1 KB - MD5: decfedc4de64864d6e7d5c9628bfa45c
upsampling_without_interpolation.py
Apr 6, 2020 - Thermal Image Guided Upsampling
Python Source Code - 2.6 KB - MD5: 2610b9c78cd529f177d96bbb51896cde
utils_general.py
Apr 6, 2020 - Thermal Image Guided Upsampling
Python Source Code - 526 B - MD5: 614ac8df6fcfa5d2cde1a4d47e004c95
utils.py
Apr 6, 2020 - Thermal Image Guided Upsampling
Python Source Code - 1.6 KB - MD5: bcb1fb8d3273a97219b0d18438b40d10
vis_utils.py
Apr 6, 2020 - Thermal Image Guided Upsampling
Python Source Code - 1.1 KB - MD5: fd87c12313de9e5751e6fe7ab4d340ed
panda_data_gen.zip
Mar 26, 2020 - Panda images dataset
ZIP Archive - 443.9 MB - MD5: 8d935b5e129deaff4d8da419a2d8e143
Ground-truths generated from raw images and annotations using cropping, segmentation and alignment algorithms.
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