Update README.md

ZHEQIUSHUI · Jul 12, 2022 · 170cd86 · 170cd86
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diff --git a/deploy/ONNX/README.md b/deploy/ONNX/README.md
@@ -97,37 +97,3 @@ You can export TensorRT engine use [trtexec](https://docs.nvidia.com/deeplearnin
     --saveEngine=yolov6s.engine \
     --fp16 # if export TensorRT fp16 model
 ```
-weights/plan/yolov6s-0.65-0.01-500-fp16.onnx.plan
-Evaluating speed.
-Average pre-process time: 0.10 ms
-Average inference time: 0.93 ms
-Average NMS time: 0.00 ms
-Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.423
-Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.613
-Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.453
-Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.234
-Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.466
-Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.581
-Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.338
-Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.532
-Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.563
-Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.360
-Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.610
-Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.730
-
-weights/yolov6s.pt
-Average pre-process time: 0.07 ms
-Average inference time: 3.59 ms
-Average NMS time: 0.43 ms
-Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.431
-Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.620
-Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.462
-Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.239
-Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.474
-Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.588
-Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.345
-Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.557
-Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.601
-Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.401
-Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.655
-Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.764