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car-detection-bayes
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Glenn Jocher 2019-12-08 18:30:36 -08:00
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@ -74,12 +74,13 @@ HS**V** Intensity | +/- 50%
## Speed
https://cloud.google.com/deep-learning-vm/
**Machine type:** n1-standard-8 (8 vCPUs, 30 GB memory)
**Machine type:** [n1-standard-16](https://cloud.google.com/compute/docs/machine-types) (16 vCPUs, 60 GB memory)
**CPU platform:** Intel Skylake
**GPUs:** K80 ($0.20/hr), T4 ($0.35/hr), V100 ($0.83/hr) CUDA with [Nvidia Apex](https://github.com/NVIDIA/apex) FP16/32
**HDD:** 100 GB SSD
**HDD:** 1 TB SSD
**Dataset:** COCO train 2014 (117,263 images)
**Model:** `yolov3-spp.cfg`
**Command:** `python3 train.py --img 416 --batch 32 --accum 2`
GPUs | `batch_size` | images/sec | epoch time | epoch cost
--- |---| --- | --- | ---
@ -87,7 +88,7 @@ K80 | 64 (32x2) | 11 | 175 min | $0.58
T4 | 64 (32x2) | 40 | 49 min | $0.29
T4 x2 | 64 (64x1) | 61 | 32 min | $0.36
V100 | 64 (32x2) | 122 | 16 min | $0.23
V100 x2 | 64 (64x1) | 150 | 13 min | $0.36
V100 x2 | 64 (64x1) | 178 | 11 min | $0.31
2080Ti | 64 (32x2) | 81 | 24 min | -
2080Ti x2 | 64 (64x1) | 140 | 14 min | -