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This release requires PyTorch >= v1.4 to function properly. Please install the latest version from https://github.com/pytorch/pytorch/releases Breaking Changes There are no breaking changes in this release. Bug Fixes Various Added Functionality Improved training and test ground truth and prediction plotting. https://github.com/ultralytics/yolov3/pull/1114 Increased augmentation speed. https://github.com/ultralytics/yolov3/pull/1110 Improved Tensorboard integration. Auto class hyperparameter update based on dataset class count. Inference time augmentation option added now with --augment argument in test.py and detect.py. Rectangular training with --rect argument in train.py Speed https://cloud.google.com/deep-learning-vm/ Machine type: preemptible n1-standard-8 (8 vCPUs, 30 GB memory) CPU platform: Intel Skylake GPUs: K80 ($0.14/hr), T4 ($0.11/hr), V100 ($0.74/hr) CUDA with Nvidia Apex FP16/32 HDD: 300 GB SSD Dataset: COCO train 2014 (117,263 images) Model: yolov3-spp.cfg Command: python3 train.py --data coco2017.data --img 416 --batch 32 GPU n --batch-size img/s epoch<br>time epoch<br>cost K80 1 32 x 2 11 175 min $0.41 T4 1<br>2 32 x 2<br>64 x 1 41<br>61 48 min<br>32 min $0.09<br>$0.11 V100 1<br>2 32 x 2<br>64 x 1 122<br>178 16 min<br>11 min $0.21<br>$0.28 2080Ti 1<br>2 32 x 2<br>64 x 1 81<br>140 24 min<br>14 min -<br>- mAP <i></i> Size COCO mAP<br>@0.5...0.95 COCO mAP<br>@0.5 YOLOv3-tiny<br>YOLOv3<br>YOLOv3-SPP<br>YOLOv3-SPP-ultralytics 320 14.0<br>28.7<br>30.5<br>37.7 29.1<br>51.8<br>52.3<br>56.8 YOLOv3-tiny<br>YOLOv3<br>YOLOv3-SPP<br>YOLOv3-SPP-ultralytics 416 16.0<br>31.2<br>33.9<br>41.2 33.0<br>55.4<br>56.9<br>60.6 YOLOv3-tiny<br>YOLOv3<br>YOLOv3-SPP<br>YOLOv3-SPP-ultralytics 512 16.6<br>32.7<br>35.6<br>42.6 34.9<br>57.7<br>59.5<br>62.4 YOLOv3-tiny<br>YOLOv3<br>YOLOv3-SPP<br>YOLOv3-SPP-ultralytics 608 16.6<br>33.1<br>37.0<br>43.1 35.4<br>58.2<br>60.7<br>62.8 TODO (help and PR's welcome!) Add iOS App inference to photos and videos in Camera Roll, as well as 'Flexible', or at least rectangular inference. https://github.com/ultralytics/yolov3/issues/224
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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