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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1 to 10 of 12 Results
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
configuration_tflite.yaml
Nov 9, 2023 - Object Detection on Depth Map with YOLO
Unknown - 446 B - MD5: c531afc860965e080f33370cc918a480
fun_ultralytics.py
Nov 9, 2023 - Object Detection on Depth Map with YOLO
Python Source Code - 8.6 KB - MD5: ddd36b001947eabcdc0d17beb9e5cceb
network_tflite.py
Nov 9, 2023 - Object Detection on Depth Map with YOLO
Python Source Code - 4.0 KB - MD5: acf7fb180729ac45d6fd1a933dcd0f76
postprocessing_tflite.py
Nov 9, 2023 - Object Detection on Depth Map with YOLO
Python Source Code - 5.8 KB - MD5: 7799662a2f5cbaa0f2a7638a15a35e0b
run_tflite.ipynb
Nov 9, 2023 - Object Detection on Depth Map with YOLO
Jupyter Notebook - 5.2 KB - MD5: bb17ffcd9dc1627bd1f6effcab7fa432
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