From: Instance segmentation on distributed deep learning big data cluster
Model name | Total time taken | OneFrame--Video Length time (s) | Machine configuration details |
---|---|---|---|
YOLACT Original | 45 min 4s | 3.00–15 (Video Length) | Python version 3.6 |
ONNX Model | 26 min 9 s | 1.74–15 | Anaconda windows 10 |
OpenVINO-FP16 | 29 min 50 s | 1.98–15 | With 16 GB RAM |
OpenVINO-FP32 | 29 min 38 s | 1.97–15 | Torch V 1.10.2+cpu |
YOLACT Original | 54 min 43 s | 3.64–15 (Video Length) | Ubuntu 20.04 VM |
ONNX Model | 32 min 48 s | 2.18–15 | Torch V 1.8.1+cu102 |
OpenVINO-FP16 | 30 min 10 s | 2.01–15 | 4 GB RAM-python 3.6 |
OpenVINO-FP32 | 30 min 9 s | 2.01–15 | Total cores = 4 |
YOLACT Original | 35 min 47 s | 2.30–15 (Video Length) | Ubuntu 20.04 VM |
ONNX Model | 32 min 48 s | 2.10–15 | Torch version 1.2.0 |
OpenVINO-FP16 | 24 min 22 s | 1.60–15 | 6 GB RAM-python 3.7 |
OpenVINO-FP32 | 30 min 12 s | 2.01–15 | Total cores = 6 |
YOLACT Original | 1 h 33 min 2s | 2.30–78 (Video Length) | Ubuntu 20.04 VM |
ONNX Model | 1 h 21 min 34 s | 2.09–78 | Torch version 1.2.0 |
OpenVINO-FP16 | 1 h 3 min 35 s | 1.63–78 | 6 GB RAM-python 3.7 |
OpenVINO-FP32 | 1 h 8 min 31 s | 1.76–78 | Total cores = 6 |