Add DAMO-YOLO benchmarks + Add GPU bbox parser + Fixes
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17
README.md
17
README.md
@@ -23,6 +23,7 @@ NVIDIA DeepStream SDK 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 configuration for YOLO mod
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* Models benchmarks
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* **Support for Darknet YOLO models (YOLOv4, etc) using cfg and weights conversion with GPU post-processing**
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* **Support for YOLO-NAS, PPYOLOE+, PPYOLOE, DAMO-YOLO, YOLOX, YOLOR, YOLOv8, YOLOv7, YOLOv6 and YOLOv5 using ONNX conversion with GPU post-processing**
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* **Add GPU bbox parser (it is slightly slower than CPU bbox parser on V100 GPU tests)**
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##
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@@ -153,7 +154,7 @@ sample = 1920x1080 video
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- Eval
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```
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nms-iou-threshold = 0.6 (Darknet) / 0.65 (YOLOv5, YOLOv6, YOLOv7, YOLOR and YOLOX) / 0.7 (Paddle, YOLO-NAS, YOLOv8 and YOLOv7-u6)
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nms-iou-threshold = 0.6 (Darknet) / 0.65 (YOLOv5, YOLOv6, YOLOv7, YOLOR and YOLOX) / 0.7 (Paddle, YOLO-NAS, DAMO-YOLO, YOLOv8 and YOLOv7-u6)
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pre-cluster-threshold = 0.001
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topk = 300
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```
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@@ -172,7 +173,11 @@ topk = 300
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**NOTE**: ** = The YOLOv4 is trained with the trainvalno5k set, so the mAP is high on val2017 test.
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**NOTE**: The V100 GPU decoder seems to max out at 625-635 FPS on DeepStream even using lighter models.
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**NOTE**: star = DAMO-YOLO model trained with distillation.
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**NOTE**: The V100 GPU decoder max out at 625-635 FPS on DeepStream even using lighter models.
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**NOTE**: The GPU bbox parser is a bit slower than CPU bbox parser on V100 GPU tests.
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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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@@ -184,6 +189,14 @@ topk = 300
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| PP-YOLOE+_m | FP16 | 640 | 0.483 | 0.658 | 0.528 | 264.39 |
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| PP-YOLOE+_s | FP16 | 640 | 0.424 | 0.594 | 0.464 | 476.13 |
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| PP-YOLOE-s (400) | FP16 | 640 | 0.423 | 0.589 | 0.463 | 461.23 |
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| DAMO-YOLO-L star | FP16 | 640 | 0.502 | 0.674 | 0.551 | 176.93 |
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| DAMO-YOLO-M star | FP16 | 640 | 0.485 | 0.656 | 0.530 | 242.24 |
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| DAMO-YOLO-S star | FP16 | 640 | 0.460 | 0.631 | 0.502 | 385.09 |
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| DAMO-YOLO-S | FP16 | 640 | 0.445 | 0.611 | 0.486 | 378.68 |
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| DAMO-YOLO-T star | FP16 | 640 | 0.419 | 0.586 | 0.455 | 492.24 |
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| DAMO-YOLO-Nl | FP16 | 416 | 0.392 | 0.559 | 0.423 | 483.73 |
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| DAMO-YOLO-Nm | FP16 | 416 | 0.371 | 0.532 | 0.402 | 555.94 |
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| DAMO-YOLO-Ns | FP16 | 416 | 0.312 | 0.460 | 0.335 | 627.67 |
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| YOLOX-x | FP16 | 640 | 0.447 | 0.616 | 0.483 | 125.40 |
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| YOLOX-l | FP16 | 640 | 0.430 | 0.598 | 0.466 | 193.10 |
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| YOLOX-m | FP16 | 640 | 0.397 | 0.566 | 0.431 | 298.61 |
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