We focus on topics of application-oriented fundamental research in optics, which is mostly in cooperation with partners of national and international research facilities as well as with industrial companies.
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61 to 70 of 77 Results
train.py
Oct 1, 2025 - Replication Data for: Deep learning based computational imaging and optical metrology
Python Source Code - 11.3 KB - MD5: 83c4379d18ccc672e2fdd30d372bcc75
typedef.hxx
Oct 1, 2025 - Replication Data for: Deep learning based computational imaging and optical metrology
Plain Text - 1.7 KB - MD5: 5f8637cb8ef6fcd3355510c537a11552
validation.py
Oct 1, 2025 - Replication Data for: Deep learning based computational imaging and optical metrology
Python Source Code - 8.3 KB - MD5: 162f546a2efd687d08dc14f9e789d883
valRL_run_system.py
Oct 1, 2025 - Replication Data for: Deep learning based computational imaging and optical metrology
Python Source Code - 2.8 KB - MD5: 86881cc6ee0d808e66ef09a18bf31557
valRL_run_td.ipynb
Oct 1, 2025 - Replication Data for: Deep learning based computational imaging and optical metrology
Jupyter Notebook - 106.3 KB - MD5: b48d06dbd5b779f6db798347b4388a5a
best_float16.tflite
Nov 9, 2023 - Object Detection on Depth Map with YOLO
Unknown - 5.8 MB - MD5: 22fa0ad8a860f2373727c1e87908e8ce
best_float32.tflite
Nov 9, 2023 - Object Detection on Depth Map with YOLO
Unknown - 11.6 MB - MD5: 714657350b4305946e0646ee30a40401
best_full_integer_quant.tflite
Nov 9, 2023 - Object Detection on Depth Map with YOLO
Unknown - 3.0 MB - MD5: a0497f02bb53be1573ee319ee6817562
best_int8.tflite
Nov 9, 2023 - Object Detection on Depth Map with YOLO
Unknown - 3.0 MB - MD5: 209f8d54d18a45ba3fbf7f430990edab
best_integer_quant.tflite
Nov 9, 2023 - Object Detection on Depth Map with YOLO
Unknown - 3.0 MB - MD5: 9281c1d1adc5f732c1033f8d5d18ecc3
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