Update benchmarks

This commit is contained in:
Marcos Luciano
2022-02-13 20:18:05 -03:00
committed by GitHub
parent ff785458dd
commit 2ebb4db284

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