Update benchmarks
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13
readme.md
13
readme.md
@@ -74,10 +74,21 @@ nms = 0.45 (changed to beta_nms when used in Darknet cfg file) / 0.6 (YOLOv5 and
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pre-cluster-threshold = 0.001 (mAP eval) / 0.25 (FPS measurement)
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pre-cluster-threshold = 0.001 (mAP eval) / 0.25 (FPS measurement)
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batch-size = 1
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batch-size = 1
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valid = val2017 (COCO) - 1000 random images for INT8 calibration
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valid = val2017 (COCO) - 1000 random images for INT8 calibration
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sample = 1920x1080 video
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NOTE: Used maintain-aspect-ratio=1 in config_infer file for YOLOv4 (with letter_box=1), YOLOv5 and YOLOR models.
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NOTE: Used maintain-aspect-ratio=1 in config_infer file for YOLOv4 (with letter_box=1), YOLOv5 and YOLOR models.
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```
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```
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<details><summary>NVIDIA GTX 1050 (4GB Mobile)</summary>
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#### NVIDIA GTX 1050 4GB (Mobile)
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YOLOv5n performance comparison
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| | DeepStream | TensorRTX | Ultralytics |
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|:---------------------:|:----------:|:---------:|:-----------:|
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| FPS (without display) | 110.25 | 87.42 | 97.19 |
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| FPS (with display) | 105.62 | 73.07 | 50.37 |
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<details><summary>More</summary>
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<br>
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| DeepStream | Precision | Resolution | IoU=0.5:0.95 | IoU=0.5 | IoU=0.75 | FPS<br />(without display) |
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| DeepStream | Precision | Resolution | IoU=0.5:0.95 | IoU=0.5 | IoU=0.75 | FPS<br />(without display) |
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|:------------------:|:---------:|:----------:|:------------:|:-------:|:--------:|:--------------------------:|
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|:------------------:|:---------:|:----------:|:------------:|:-------:|:--------:|:--------------------------:|
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